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AI-Powered Root Cause in ITSM: Transforming Incident Resolution and Enhancing Operational Efficiency

Root Cause Analysis (RCA) is a powerful method used to identify the underlying causes of problems in IT operations. It is a comprehensive and versatile tool, highly effective in determining and addressing corrective actions, fully aligned with the ITIL framework.

The value of RCA extends beyond problem-solving. Root cause analysis fosters a company culture centered around continuous improvement, learning, and innovation.

If you’re looking to transform unforeseen issues into predictable and manageable events and are searching for tools to help you navigate the complexities of IT operations, keep reading. In this article, we will provide an overview of how RCA works and explain how to leverage the potential of artificial intelligence to align it with your organization’s goals.

 

Why a More Efficient Root Cause Analysis is Necessary in ITSM

A widely cited 2014 Gartner report states that the average cost of downtime is approximately $5,600 per minute. According to the Ponemon Institute, the average is almost double that, at $9,000 per minute.

Given these staggering figures, it’s easy to see why, when incidents occur, finding the root cause quickly is critical.

Traditional RCA heavily relies on manual work from IT professionals, who must sift through vast amounts of data, system alerts, and user feedback to identify issues.

This approach is often slow, error-prone, and requires significant effort and resources. As IT environments become more complex, organizations need more efficient solutions.

What Does AI-Powered Root Cause Do?

AI-powered root cause systems automate repetitive tasks and allow for the rapid and more accurate identification of underlying causes.

AI-based RCA processes large amounts of data in real time, identifying patterns and correlations that might escape human analysts. A study by McKinsey & Company found that AI-driven analysis can reduce the time spent by up to 70%.

Leveraging machine learning, pattern recognition, and predictive analytics, AI systems can not only accelerate incident diagnosis but also predict issues before they occur.

Technologies Driving Automated Root Cause Analysis

Automated root cause analysis uses AI applications to automatically identify the root causes of incidents in IT environments.

Machine learning, pattern recognition, and predictive analytics automate the traditionally manual and time-consuming process of identifying root causes. These key technologies enable organizations to quickly pinpoint the source of issues, simplifying incident management as a whole.

  • Machine Learning: Algorithms learn from historical data to identify patterns that indicate the primary cause of similar problems that could occur in the future.
  • Pattern Recognition: AI tools analyze data to detect recurring issues and correlate them to specific causes.
  • Predictive Analytics: Advanced models use identified trends in data streams to predict potential incidents, allowing IT teams to address problems before they escalate.

By incorporating these technologies, root cause analysis harnesses automation to significantly reduce the time and effort required to identify, diagnose, and resolve IT issues. This improves operational efficiency while fostering a more resilient IT environment.

 

How AI Automates Root Cause Analysis 

AI-driven automated root cause analysis seamlessly integrates with ITSM workflows. Below are the main ways AI automates the root cause analysis process, improving how incidents are detected and resolved: 

  • Data Analysis: AI can process enormous volumes of data, including system logs, sensor data, and customer feedback, far faster than any human. This capability makes it possible to detect patterns and correlations that might otherwise be overlooked. 
  • Pattern Recognition: Machine learning algorithms are trained to identify patterns in system behaviors, linking recurring “symptoms” to their most likely causes. This reduces the amount of manual investigation needed and allows for faster diagnosis of complex problems. 
  • Real-Time Diagnosis: AI tools continuously monitor IT environments, providing real-time insights into incidents and automatically suggesting potential causes. This allows IT teams to resolve problems more quickly, reducing downtime and improving service delivery. 

In summary, AI-based automated root cause analysis improves ITSM workflows by simplifying data processing, identifying patterns, and providing real-time insights. 

IT teams are empowered to diagnose and resolve incidents quickly, reducing downtime and improving overall service quality. 

AI-Powered Root Cause in ITSM: The Benefits 

As we’ve now understood, AI-powered root cause analysis offers several key benefits in ITSM, making it an attractive solution for organizations looking to simplify incident management operations. 

  • Speed: Automated root cause analysis enables rapid identification of root causes and allows incidents to be resolved faster than traditional manual methods. 
  • Accuracy: AI reduces the risk of human error in diagnosing complex IT problems, allowing for more accurate identification of the root cause. 
  • Proactivity: By leveraging historical data, predictive analysis can forecast potential issues and enable IT teams to take preventive action and avoid future incidents. 
  • Efficiency: Automation allows for quicker problem resolution without the need for manual effort, minimizing downtime and significantly reducing operational costs. 
  • Scalability: Cloud-based AI solutions for RCA can dynamically allocate computing resources based on demand, ensuring consistent performance even during peak periods or when dealing with unusually complex problems. These solutions also easily integrate with new data sources and adapt to changes in system architecture. 

The combination of speed, accuracy, proactivity, efficiency, and scalability in AI-powered RCA translates to faster problem resolution. AI-based systems in IT operations have been shown to reduce the average incident resolution time by up to 50%, leading to significant improvements in service availability and customer satisfaction. 

Best Practices for Maximizing AI-Powered Root Cause Analysis 

Implementing AI-powered root cause analysis offers significant benefits, but its success depends on how many best practices are implemented and to what extent. 

Organizations currently face challenges related to data quality, integration with existing systems, and employee resistance. These challenges must be addressed to ensure the smooth adoption of AI applications.

Start with the Right Data 

AI-powered RCA processes both structured and unstructured data, such as logs, support tickets, and user feedback, utilizing the power of Natural Language Processing (NLP). By processing large amounts of textual information, NLP can uncover correlations and causality that may not be apparent in structured data alone. 

AI tools depend on comprehensive, dynamic, and high-quality datasets. Incomplete or inconsistent data can affect the accuracy of the analysis, so robust data collection processes are critical. Historical incident data and infrastructure metrics must be cleaned to enable effective machine learning. 

Select Scalable AI Tools 

Choose AI platforms that can scale as your IT environment grows in size and complexity. Scalable solutions will evolve alongside your infrastructure, maintaining high performance. 

Cloud-based AI solutions offer significant scalability for RCA. These systems can dynamically allocate computing resources based on demand, ensuring consistent performance even during peak periods or when addressing unusually complex issues. This elasticity enables organizations to maintain effective RCA processes without significant upfront investments in hardware or personnel. 

Invest in IT Team Training 

IT teams may be skeptical of AI-based processes, especially if they fear automation could replace them. Clear, transparent communication and ongoing, timely training can help create a climate of trust. 

Specifically, IT staff need to be taught how to interpret and leverage the insights provided by new tools. Teams must understand how AI identifies patterns and causes to make the best use of automated recommendations. 

The Future of AI-Powered Root Cause Analysis: Challenges and Promises 

The future of AI-based technologies is promising, with several emerging trends poised to reshape the market and organizations. 

As AI continues to evolve, these trends will enable more proactive, efficient, and resilient IT management, offering companies the capabilities needed to thrive in increasingly complex environments. Let’s take a look at the opportunities created by new technologies. 

  • Advanced Predictive Analytics: As AI systems become more sophisticated, they will not only be able to identify root causes more quickly but also more accurately predict likely future system incidents. By anticipating problems before they occur, IT teams will be able to take proactive measures to maintain system stability. 
  • Greater Automation: The potential for fully autonomous systems, capable of diagnosing and even resolving incidents without human intervention, is expanding rapidly. This is a significant leap forward for ITSM efficiency. 
  • Better Integration: AI-powered RCA will increasingly integrate with other AI-based tools, such as automated incident resolution and AI-based monitoring, creating a more proactive and interconnected IT management ecosystem. 

Maximizing the Benefits of AI-Powered Root Cause Analysis in ITSM 

AI-powered root cause analysis is revolutionizing ITSM by automating the entire process, reducing incident resolution times, and increasing accuracy. 

As organizations continue to adopt AI technologies, they benefit from the speed, efficiency, and proactive capabilities that AI brings to IT operations. 

By following the best practices we’ve suggested and choosing the right technological solutions for your needs, you can overcome challenges and fully leverage AI’s potential to improve your IT service management. 

FAQs 

How does AI-powered Root Cause Analysis (RCA) work in ITSM? 
AI-powered RCA automates the identification of root causes by using machine learning algorithms, pattern recognition, and predictive analytics to resolve IT incidents more quickly and accurately. 

What are the advantages of AI-powered RCA compared to traditional methods? 
Compared to manual methods, AI-powered RCA is faster, more precise, and proactive. It reduces downtime and increases operational efficiency. 

What technologies support AI-powered RCA? 
Technologies like machine learning, pattern recognition, and predictive analytics automate the RCA process, quickly identifying the causes of incidents and predicting potential future problems. 

 

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About EasyVista  
EasyVista is a leading IT software provider delivering comprehensive IT solutions, including service management, remote support, IT monitoring, and self-healing technologies. We empower companies to embrace a customer-focused, proactive, and predictive approach to IT service, support, and operations. EasyVista is dedicated to understanding and exceeding customer expectations, ensuring seamless and superior IT experiences. Today, EasyVista supports over 3,000 companies worldwide in accelerating digital transformation, enhancing employee productivity, reducing operating costs, and boosting satisfaction for both employees and customers across various industries, including financial services, healthcare, education, and manufacturing.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

5 Key Strategies to Optimize Cloud VDI with Thinfinity® Cloud Manager

 
Introduction

Cloud-based Virtual Desktop Infrastructure (VDI) is revolutionizing remote work by enabling secure, scalable, and high-performance desktop access from anywhere. However, to truly optimize Cloud VDI performance, organizations must streamline image management, consolidate resource pools, adopt modern storage solutions, and implement best practices that balance performance with cost.

Thinfinity Cloud Manager simplifies the deployment and orchestration of virtual desktops across multi-cloud and hybrid environments, reducing complexity while enhancing security and performance.

In this article, we explore five key strategies for optimizing Cloud VDI deployments with Thinfinity Cloud Manager, helping organizations enhance digital employee experiences while keeping costs under control. 

 

1. Reduce the Number of Virtual Desktop Images

Managing multiple desktop images across cloud environments can quickly become overwhelming. Excessive image variations lead to inconsistent user experiences, increased maintenance efforts, and unnecessary costs.

How to Optimize Image Management with Thinfinity Cloud Manager:

An Active Directory forest is the highest-level security boundary in a Windows Server environment. Multiple forests can exist within an organization due to:

  • Adopt a Golden Image Approach: Maintain a single, master image with preconfigured applications and security policies. This ensures consistency across deployments while minimizing update overhead.
  • Enable Dynamic Application Delivery: Instead of installing applications into every desktop image, leverage Thinfinity’s seamless application virtualization to dynamically provision apps to users on demand. This reduces image sprawl and simplifies updates.
  • Streamline Patching and Compliance: By standardizing a small set of images, IT teams can accelerate patching cycles and maintain compliance across all virtual desktops.
Optimize VDI by reducing desktop images, enabling dynamic app delivery, and streamlining patching with Thinfinity Cloud Manager

Key Takeaway: Fewer, well-managed images lead to better performance, reduced administrative burden, and improved consistency across Cloud VDI deployments.

 

2. Consolidate and Optimize VDI Resource Pools

Virtual desktop resource pools allow IT teams to segment workloads, but excessive host pool sprawl can create unnecessary complexity and inefficiencies.

How to Reduce Resource Sprawl with Thinfinity Cloud Manager:

  • Analyze Pool Utilization: Identify underutilized pools and consolidate workloads where possible to improve resource allocation and cost efficiency.
  • Optimize Multi-Cloud Deployments: Thinfinity Cloud Manager allows IT teams to manage and optimize VDI workloads across AWS, Azure, Oracle Cloud, Ionos Google Cloud, or on-prem infrastructure, ensuring workloads run where they perform best.
  • Eliminate Redundant Pools: Many organizations create separate pools for specific applications or OS versions. Instead, leverage Thinfinity’s advanced app streaming to centralize application management and reduce the number of dedicated host pools.
VDI Optimization Cycle: Consolidate resource pools, optimize multi-cloud workloads, and centralize apps with Thinfinity Cloud Manager.

Key Takeaway: Right-sizing Cloud VDI deployments with Thinfinity Cloud Manager improves resource utilization, performance, and cost control across hybrid and multi-cloud environments.

 

3. Implement Cloud-Native Storage Solutions

Storage plays a critical role in Cloud VDI performance. Traditional disk-based architectures can be inefficient, leading to slow boot times, application lag, and high costs.

How to Optimize Cloud Storage:

  • Leverage Centralized Storage: Instead of relying on individual virtual machine disks, use high-performance shared storage solutions (e.g., Acronys, Amazon FSx, or Google Filestore) to centralize application data and profiles.
  • Enable Profile and Session Persistence: With cloud-based profile management, user settings, files, and applications are instantly available across all Cloud VDI sessions, eliminating the need for persistent desktops.
  • Optimize OS Disk Usage: Minimize storage costs by leveraging smaller, cost-effective OS disks, as applications and user data reside in external cloud storage instead of within each virtual machine.

Key Takeaway: Modern storage solutions combined with Thinfinity Cloud Manager improve performance, reduce storage costs, and ensure seamless access to apps and user profiles across cloud-based virtual desktops.

 

4. Standardize on Multi-Session, Non-Persistent Virtual Desktops

Non-persistent virtual desktops are a core principle of modern Cloud VDI—ensuring scalability, security, and efficiency without unnecessary data retention.

Why Multi-Session, Non-Persistent VDI Matters:

  • Lower Cloud Costs: Running multiple users per VM optimizes cloud resources and reduces virtual machine (VM) consumption.
  • Simplify Desktop Management: Non-persistent desktops refresh at every login, reducing the risk of configuration drift, malware persistence, or rogue user settings.
  • Enhance Security & Compliance: Automatically reverting virtual desktops to a clean state upon logoff enhances security posture and simplifies regulatory compliance.

Thinfinity Cloud Manager Advantage:

  • Application Virtualization: Legacy apps and enterprise software that don’t traditionally support multi-session environments can be delivered seamlessly via Thinfinity’s application streaming technology.
  • Session Management & Auto-Scaling: Thinfinity Cloud Manager dynamically scales session-based VDI workloads, ensuring peak performance without over-provisioning resources.
Non-Persistent VDI: Reduce costs, simplify management, and enhance security with multi-session desktops and Thinfinity Cloud Manager.
 

Key Takeaway: Non-persistent, multi-session desktops offer a scalable, secure, and cost-effective Cloud VDI model that minimizes maintenance while improving IT agility.

 

5. Utilize Ephemeral OS Disks for Stateless Virtual Desktops

In Cloud VDI, storage-related latency can impact user experience. Ephemeral OS disks provide lightweight, high-performance desktops without incurring unnecessary storage costs.

Why Ephemeral OS Disks Improve Cloud VDI Performance:

  • Faster Desktop Provisioning: Ephemeral disks spin up instantly and refresh quickly, making scaling up or reimaging desktops faster than traditional disk-based deployments.
  • Lower Storage Costs: Because these disks use temporary storage, they don’t contribute to long-term storage costs, unlike persistent OS disks.
  • Perfect for Non-Persistent VDI: Ephemeral OS disks are ideal for stateless Cloud VDI environments, where desktops are refreshed after each session.

Enhancing Ephemeral Disk Usage with Thinfinity Cloud Manager:

  • Dynamic App Delivery: Thinfinity’s application streaming ensures that essential apps are instantly available upon desktop launch—removing the need for persistent OS storage.
  • Hybrid Cloud Flexibility: Thinfinity Cloud Manager integrates with both public and private cloud storage solutions, ensuring seamless app and profile persistence even in ephemeral desktop environments.
 
Ephemeral Disk: Improve Cloud VDI with fast provisioning, lower storage costs, and stateless desktops using Thinfinity Cloud Manager.

Key Takeaway: Ephemeral OS disks reduce storage costs and improve Cloud VDI performance, particularly in non-persistent, high-scale environments. With Thinfinity Cloud Manager, IT teams can maximize the benefits of ephemeral desktops while maintaining full application availability. 

 

Thinfinity Cloud Manager: The Key to Scalable and Cost-Effective Cloud VDI

Optimizing Cloud VDI requires more than just spinning up virtual desktops—it requires a strategic approach to desktop image management, resource allocation, storage optimization, and application delivery.

With Thinfinity Cloud Manager, organizations can:

✓ Streamline Cloud VDI Deployments across Oracle Cloud, Ionos Cloud, AWS, Azure, Google Cloud, and on-prem infrastructure.

✓ Eliminate Desktop Image Sprawl through dynamic application streaming.

✓ Consolidate VDI Resource Pools to reduce operational complexity.

✓ Leverage Ephemeral Desktops and Multi-Session Configurations for better scalability and security.

✓ Enhance Cloud Storage Efficiency with integrated application and profile management.

 

By adopting these five strategies, organizations can achieve a high-performance Cloud VDI environment that enhances user experience, security, and operational efficiency—all while reducing costs.

Ready to optimize your Cloud VDI deployment? Explore how Thinfinity Cloud Manager can transform your virtual desktop strategy today!

About Cybele Software Inc.
We help organizations extend the life and value of their software. Whether they are looking to improve and empower remote work or turn their business-critical legacy apps into modern SaaS, our software enables customers to focus on what’s most important: expanding and evolving their business.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Using Streaming Data for Cybersecurity

After a long day, you sit down on the couch to watch your favorite episode of I Love Lucy on your chosen streaming platform. You decide on the episode where Lucy can’t keep up with the chocolates on the conveyor belt at the factory where she works. Without realizing it, you’re actually watching an explanation of how the streaming platform – and your security analytics tool – work.

 

Data streaming is the real-time processing and delivery of data. Just like those chocolates coming through on the conveyor belt, your security analytics and monitoring solution collects, parses, and normalizes data so that you can use it to understand your IT environment and potential threats to your security.

 

Using streaming data for cybersecurity may present some challenges, but it also drives the analytics models that allow you to improve your threat detection and incident response program.

What is streaming data?

Streaming data is a continuous flow of information processed in real-time that businesses can use to gain insights immediately. Since the data typically appears chronological order, organizations can apply analytics models to identify or predict changes.

 

The key characteristics of streaming data include:

  • Continuous flow: non-stop real-time data processed as it arrives
  • Sequential order: data elements in chronological order for consistency
  • Timeliness: rapid access for time-sensitive decision-making and activity

 

Continuous streaming data enables security professionals to detect patterns and identify anomalies that may indicate a potential threat or incident. Most security telemetry is streaming data, like:

  • Access logs
  • Web application logs
  • Network traffic logs

 

Streaming Data vs. Static Data

Streaming data and static data differ significantly in their characteristics and applications. While static data is fixed and collected at a single point in time, streaming data is continuous and time-sensitive, containing timestamps.

Timeliness

When using data for security use cases, timeliness is a key differentiator:

  • Static data: fixed, point-in-time snapshot
  • Streaming data: continuous, real-time, no defined end

Sources

For security professionals, this difference is often the one that makes managing and using security data challenging:

  • Static data: typically fewer, defined sources
  • Streaming data: large numbers of diverse geographic locations and technologies

Format

When managing security telemetry, format is often the most challenging difference that you need to manage:

  • Static data: uniform and structured
  • Streaming data: various formats, including structured, unstructured, and semi-structured

Analytics Use

The key difference that matters for security teams is how to use the data with analytics models:

  • Static data: mostly historical insights
  • Streaming data: predictive analytics and anomaly detection

 

What are the major components of a stream processor?

With a data stream processor, you can get timeline insights by analyzing and visualizing your security data.

Data stream management

Data stream management involves data storage, process, analysis, and integration so that you generate visualizations and reports. Typically, these technologies have:

  • Data source layer: captures and parses data
  • Data ingestion layer: handles the flow of data between source and processing layers
  • Processing layer: filters, transforms, aggregates, and enriches data by detecting patterns
  • Storage layer: ensures data durability and availability
  • Querying layer: tools for asking questions and analyzing stored data
  • Visualization and reporting layer: performs visualizations like charts and graphs to help generate reports
  • Integration layer: connects with other technologies

Complex event processing

Complex event processing identifies meaningful patterns or anomalies within the data streams. The components of complex event processing include:

  • Event Detection: Identifies significant occurrences within IoT data streams.
  • Insight Extraction: Derives actionable information from detected events.
  • Rapid Transmission: Ensures swift communication to higher layers for real-time action.

These functionalities are critical for real-time analysis, threat detection, and response.

Data collection and aggregation

Data collection and aggregation organizes the incoming data, normalizing it so that you can correlate various sources to extract insights. Real-time data analysis through streaming enhances an organization’s ability to detect and respond to cyber threats promptly, improving overall security postures. Continuous monitoring and strong security measures are pivotal to protect data integrity during transit.

Continuous logic processing

Continual logic processing underpins the core of stream processing architecture by executing queries on incoming data streams to generate useful insights. This subsystem is crucial for real-time data analysis, ensuring prompt insights essential for maintaining vigilance against potential cybersecurity threats.

 

What are the data streaming and processing challenges with cybersecurity telemetry?

Data streaming and processing come with several challenges for cybersecurity teams who deal with data heterogeneity that impacts their ability to detect and investigate incidents.

Data Volume and Diversity

Modern IT environments generate high volumes of data in disparate formats. For example, security analysts often struggle with the different formats across their logs, like:

Chronological order

Data streams enable you to use real-time data to promptly identify anomalies or detect security incidents. However, as the data streams in, you need to ensure that you can organize it chronologically, especially when you need to write your security incident report.

Scalability

The increasing volume of stream data necessitates that processing systems adapt dynamically to varying loads to maintain quality. For example, you may need to scale up your analytics – and therefore data processing requirements – when engaging in an investigation.

 

Benefits of data streaming and processing for cybersecurity teams

When you use real-time data streaming, you can move toward a proactive approach to cybersecurity, enabling real-time detections and faster incident response. Utilizing Data Pipeline Management can help you also save costs when routing data where you want it.

 

Infrastructure Cost Reduction

When you use streaming data, you can build a security data lake strategy that involves data tiering. You can reduce the total cost of ownership by optimizing the balance of storage costs and system performance. For example, you could have the following three tiers of data:

  • Hot: data needed immediately for real-time detections
  • Warm: data stored temporarily in case you need it to investigate an alert
  • Cold: long term data storage for historical data or to meet a retention compliance requirement

When you can store cold data in a cheaper location, like an S3 bucket, you reduce overall costs.

 

 

Improve Detections

Streaming data enables you to parse, normalize, aggregate, and correlate log information from across your IT environment. When you use real-time data, you can detect threats faster, enabling you to mitigate the damage an attacker can do. The aggregation and correlation capabilities enable you to create high-fidelity alerts so you can focus on the potential threats that matter to your systems, networks, and data. Additionally, since streaming data is already processed, you can enrich and integrate it with:

Apply Security Analytics

Security analytics are analytics models focused on cybersecurity use cases, like:

  • Security hygiene: how well your current controls work
  • Security operations: anomaly detection, like identifying abnormal user behavior
  • Compliance: identifying security trends like high severity alerts by source, type, user, or product

For example, anomaly detection analytics identify behaviors within data that do not conform to expected norms, enabling you to prevent or detect unauthorized access or potential data exfiltration attempts.

 

Graylog Security: Real-time data for improved threat detection and incident response

Graylog Enterprise and Security ensures scalability as your data grows to reduce total cost of ownership (TCO). Our platform’s innovative data tiering using data pipeline management capability facilitates efficient data storage management by automatically organizing data to optimize access and minimize costs without compromising performance.

 

With frequently accessed data kept on high-performance systems and less active data in more cost-effective storage solutions, you can leverage Graylog Security’s built-in content to uplevel your threat detection and response (TDIR) processes. Our solution combines MITRE ATT&CK’s knowledge base of adversary behavior and vendor-agnostic sigma rules so you can rapidly respond to incidents, improving key cybersecurity metrics. By combining the power of MITRE ATT&CK and sigma rules, you can spend less time developing custom cyber content and more time focusing on more critical tasks.

 

About Graylog
At Graylog, our vision is a secure digital world where organizations of all sizes can effectively guard against cyber threats. We’re committed to turning this vision into reality by providing Threat Detection & Response that sets the standard for excellence. Our cloud-native architecture delivers SIEM, API Security, and Enterprise Log Management solutions that are not just efficient and effective—whether hosted by us, on-premises, or in your cloud—but also deliver a fantastic Analyst Experience at the lowest total cost of ownership. We aim to equip security analysts with the best tools for the job, empowering every organization to stand resilient in the ever-evolving cybersecurity landscape.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

How NAC Should Fit Into Your Larger Security Monitoring Strategy

If your organization takes security monitoring seriously, you’re likely drowning in dashboards, logs, and alerts from SIEMs, EDRs, SOAR platforms, and enough threat intelligence feeds to make your head spin. But amidst all the buzz about real-time monitoring, anomaly detection, and automated response, there’s often a glaring blind spot: Network Access Control (NAC).

Yes, NAC—arguably one of the least flashy but most foundational security tools—is often overlooked in security monitoring discussions. But if you’re not integrating NAC into your security monitoring strategy, you’re leaving gaps in your visibility, increasing your attack surface, and making it harder to respond to threats in real time.

So, let’s talk about where NAC fits into a well-rounded security monitoring strategy and why ignoring it is a mistake your SOC (Security Operations Center) can’t afford.

The Role of NAC in Security Monitoring

At its core, NAC enforces security policies by controlling which devices and users can connect to your network. But in doing so, it generates a wealth of valuable data that should feed into your broader security monitoring ecosystem.

Here’s what NAC brings to the table:

  • Real-time visibility into device connections: Every device that attempts to access your network—whether a corporate laptop, a rogue IoT device, or an attacker’s foothold—gets logged by NAC. This visibility is essential for identifying unauthorized or suspicious devices before they become a problem.
  • Policy enforcement and automated responses: NAC doesn’t just alert you to security issues; it acts on them. When a device fails compliance checks (e.g., missing security patches, outdated AV, unrecognized MAC address), NAC can quarantine or block it automatically, reducing the time attackers have to move laterally.
  • Contextual data for security investigations: When correlating data from a SIEM or SOAR platform, NAC logs can provide context on whether a user’s device was compliant, where it connected from, and whether access was granted or denied. This is crucial for incident response.

Now, let’s look at how NAC should integrate into your broader security monitoring strategy.

1. Feeding NAC Data into SIEMs for Comprehensive Monitoring

Most organizations rely on a Security Information and Event Management (SIEM) solution to centralize security logs, detect anomalies, and trigger alerts. Yet, many fail to include NAC data in this process.

Why it matters:

  • SIEMs thrive on correlation—NAC provides essential data on who’s connecting, from where, and whether they passed security checks.
  • If a user’s account triggers a login from an unusual location in the IAM logs, NAC can confirm whether their device was present on the corporate network or using a VPN.
  • NAC logs can identify when devices that were previously blocked attempt to reconnect, potentially signaling an insider threat or an attacker persistently probing for access.

How to integrate NAC with your SIEM:

  • Send NAC logs and alerts to your SIEM in real time.
  • Correlate NAC data with firewall logs, endpoint detection and response (EDR) tools, and authentication data.
  • Use NAC policies as an early indicator of device compliance issues before they escalate into security incidents.

2. Using NAC as a First Line of Defense in Zero Trust Architectures

Zero Trust isn’t just a buzzword—it’s a necessary shift in security strategy. NAC plays a crucial role by ensuring that only authorized, compliant devices gain access to the network in the first place.

How NAC fits into a Zero Trust strategy:

  • Continuous verification: NAC doesn’t just check compliance at login; it continuously enforces security policies. If a device falls out of compliance (e.g., a user disables their endpoint protection), NAC can revoke access immediately.
  • Least-privilege access: Combining NAC with microsegmentation ensures that even if an attacker compromises a device, lateral movement is restricted.
  • Dynamic risk-based access: Integrating NAC with identity providers (e.g., Entra ID, Okta) and security monitoring tools enables adaptive access controls based on risk signals.

By ensuring that every device accessing your network is continuously assessed, NAC strengthens the foundation of Zero Trust security monitoring.

3. Automating Incident Response with NAC and SOAR

Security teams are overwhelmed with alerts, making automation a must. NAC, when integrated with a Security Orchestration, Automation, and Response (SOAR) platform, can act as an automated containment mechanism for threats detected elsewhere.

Example use cases:

  • If an EDR detects malware on a device, SOAR can trigger a NAC policy to isolate that endpoint from the network.
  • If an unusual login attempt is flagged by an IAM system, SOAR can use NAC to block the user’s device until security reviews the case.
  • If a SIEM detects multiple failed login attempts from an unknown device, NAC can automatically deny access and flag the security team for investigation.

With SOAR integration, NAC isn’t just enforcing access controls—it’s actively participating in threat containment.

4. Strengthening Security for IoT and Unmanaged Devices

IoT security remains a nightmare for enterprises. These devices often lack traditional endpoint security controls, making NAC one of the few tools capable of providing visibility and enforcement for them.

What NAC can do for IoT security:

  • Fingerprint and classify devices to detect unauthorized or rogue IoT devices.
  • Segment IoT devices to prevent them from accessing sensitive corporate resources.
  • Trigger alerts and block anomalous behavior—for instance, if a smart thermostat suddenly starts trying to communicate with external servers in Russia.

By integrating NAC data into security monitoring platforms, you can detect and mitigate IoT threats in real time.

Final Thoughts: NAC as a Security Monitoring Force Multiplier

If you’re only using NAC as a compliance checkbox, you’re missing out. In the right hands—and integrated with SIEM, SOAR, Zero Trust, and IoT security frameworks—NAC becomes a force multiplier for security monitoring.

Instead of viewing NAC as a standalone gatekeeper, think of it as a real-time security enforcer that feeds critical data into your broader threat detection and response strategy.

A well-integrated NAC strategy doesn’t just keep attackers out—it actively helps your security team detect, investigate, and respond to threats faster and more effectively. And in today’s landscape, where speed is everything, that’s not something you can afford to ignore.

About Portnox
Portnox provides simple-to-deploy, operate and maintain network access control, security and visibility solutions. Portnox software can be deployed on-premises, as a cloud-delivered service, or in hybrid mode. It is agentless and vendor-agnostic, allowing organizations to maximize their existing network and cybersecurity investments. Hundreds of enterprises around the world rely on Portnox for network visibility, cybersecurity policy enforcement and regulatory compliance. The company has been recognized for its innovations by Info Security Products Guide, Cyber Security Excellence Awards, IoT Innovator Awards, Computing Security Awards, Best of Interop ITX and Cyber Defense Magazine. Portnox has offices in the U.S., Europe and Asia. For information visit http://www.portnox.com, and follow us on Twitter and LinkedIn.。

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

VMware ESXi vs XCP-ng: A Comprehensive Hypervisor Comparison

When it comes to server virtualization, two prominent hypervisors are often considered: VMware ESXi and XCP-ng. Both platforms offer robust solutions for creating and managing virtual machines (VMs) but differ in several key areas, including cost, performance, features, usability, and support. Understanding these differences is crucial for organizations looking to optimize their virtual infrastructure.

What is VMware ESXi?

VMware created VMware ESXi as part of its virtualization solution. ESXI is known for its excellent performance, scalability, and efficiency, making it a favorite among enterprises. This bare-metal hypervisor installs directly onto the physical server, dividing its resources into several virtual machines. This direct installation makes it easy to manage hardware resources effectively.

Key Features and Functionality

VMware offers several industry-standard features, including;

  • High Performance ESXi is designed to interact directly with the host hardware, delivering exceptional performance. Its lightweight architecture makes it ideal for running virtual machines efficiently. ESXi also minimizes resource overhead while maximizing physical resource utilization.
  • Resource Management With ESXi, users can allocate CPU, memory, and storage resources to individual virtual machines as needed. It also uses advanced tools like Distributed Power Management and Dynamic Resource Scheduler to enhance system efficiency.
  • Security ESXi protects virtual environments with features like secure boot, VM encryption, and role-based access control (RBAC). These measures help safeguard against unauthorized access and data breaches.
  • Fault Tolerance and High Availability: ESXi ensures uninterrupted access to virtual machines, even during hardware failures. Fault Tolerance (FT) stores a live replica of the virtual machine for continuous availability. If the current one fails, the High Availability (HA) automatically restarts affected virtual machines on another host.
  • Scalability ESXi can be seamlessly integrated with VMware solutions like vSphere and vCenter, enabling the management of thousands of virtual machines across multiple physical hosts. This scalability makes it well-suited for large, complex environments.

What is XCP-ng?

XCP-ng stands for Xen Cloud Platform—Next Generation. It is an open-source virtualization platform built on an Xen hypervisor. XCP-ng was created as an alternative to Citrix XenServer, solving the problems it faced. It offers a comprehensive range of tools for virtual environment management. As an open-source project, there are no licensing fees, making it a great choice for enterprises and small businesses.

Key Features and Functionality

XCP-ng comes with several modern features designed to enhance virtualization capabilities, including;

  • Xen Orchestra Integration

XCP-ng works seamlessly with Xen Orchestra, a web-based, user-friendly platform for managing VMs, storage, and networking. It offers free and premium versions, both of which offer advanced features and professional support.

  • High Availability (HA)

XCP-ng offers high-availability clustering. This feature ensures that if a host dies, the virtual machines on that server will be moved to another host.

  • Storage Support

XCP-ng works with various storage options, such as Fibre Channel, NFS, and iSCSI. It also integrates with distributed storage systems like Ceph, allowing users to create strong and scalable storage solutions to handle their virtualized workloads.

  • Live Migration

XCP-ng uses live migration to transfer VMs across hosts when transferring virtual machines. This method ensures that there’s load balancing and reduced downtime during maintenance

  • Networking Features

XCP-ng offers advanced networking tools like virtual LAN (VLAN), network bonding, and Open vSwitch (OVS) integration. These features make it easy to build complex network setups that prioritize security, performance, and reliability.

What to Consider Before Choosing Between VMware ESXi and XCP-ng

An IT expert looking to choose between VMware ESXi and XCP-ng has a lot to consider, including;

Cost and Licensing

One of the most significant differences between VMware ESXi and XCP-ng is their cost structures. VMware ESXi operates on a proprietary licensing model, which is more expensive than XCP-ng. It, however, has a free version with limitations. The version provides fewer features, no centralized management, and a total of eight vCPUs per VM. Thus, advanced features like vMotion, High Availability, and Distributed Resource Scheduler (DRS) are only available through paid licenses.

On the other hand, XCP-ng is an open-source hypervisor based on XenServer. It is a cost-effective alternative as there are no licensing fees. This open-source nature allows organizations to utilize a full-featured hypervisor without the financial burden of proprietary solutions.

Performance

Performance is another key factor for hypervisors. Fortunately, both VMware ESXi and XCP-ng are type-1 hypervisors. This means they work directly on the host’s hardware. Type-1 hypervisors generally provide superior performance compared to type-2 hypervisors. When both hypervisor performances were compared, they were nearly the same. However, some users have reported that, in certain scenarios, ESXi outperforms XCP-ng, while in others, XCP-ng holds the advantage. For instance, ESXi was faster in a series of tests in about 60% of the cases. Meanwhile, XCP-ng led in the remaining 40%. Thus, the better choice could depend on the circumstances, so always consider the specific workloads and configurations when checking performance. They could have varying performances based on the particular applications and environments in use.

Features and Functionality

Both hypervisors offer a range of features designed to enhance virtualization capabilities, but there are notable differences:

  • High Availability (HA): VMware’s HA feature allows you to automatically restart VMs on another host when a host fails, minimizing downtime. XCP-ng also offers HA capabilities. Similarly, if a host fails in XCP-ng, the affected VMs are rebooted on another host, resulting in short downtime during the reboot process.
  • Management Tools: VMware ESXi is managed through the vCenter Server, a comprehensive tool that provides centralized management of virtual environments and a paid product requiring a separate license. XCP-ng utilizes Xen Orchestra, a web-based open-source interface. It enables straightforward management of VMs, storage, and networking. Xen Orchestra offers both free and premium versions, with the latter providing enhanced features and professional support options.
  • Backup Solutions: Both platforms support various backup solutions. VMware ESXi integrates with different third-party backup tools and offers snapshot-based backups and replication features. XCP-ng, with Xen Orchestra, provides built-in backup solutions, including full and delta backups. These solutions help to cater to different backup and recovery needs.In this field

    Storware Backup and Recovery can support data protection (disaster recovery, cyber resiliency, business continuity) for both hypervisors, within one license. Here are the example videos showing how Storware works with each platform:

Backup and Recovery for VMware

Backup and Recovery for XCP-ng

Usability

Usability is an important factor, especially for organizations without dedicated IT teams. VMware ESXi has an in-built web-based HTML5 GUI that allows straightforward single-host management without additional installations. This intuitive interface simplifies tasks such as building and managing VMs, configuring virtual switches, and handling data stores.

In contrast, XCP-ng doesn’t have a local web GUI for host management. Instead, users must deploy Xen Orchestra (XOA), which offers a rich feature set but makes the initial setup complex. However, once configured, Xen Orchestra provides a comprehensive management interface that is as good as VMware’s.

Support and Community

Support options differ significantly between the two platforms:

  • VMware ESXi: VMware offers a high degree of professional support and a well-established knowledge base as a commercial product. It also caters to clients that require reliable and timely assistance.
  • XCP-ng: As an open-source project, XCP-ng relies on a growing community for support. Vendors like Vates render professional services, but the ecosystem is still maturing compared to VMware’s long-standing presence in the market.

Conclusion

Choosing between VMware ESXi and XCP-ng depends on various factors, including budget constraints, specific workload requirements, desired features, and the level of support preferred. Organizations seeking a cost-effective, open-source solution with support may choose XCP-ng. However, those seeking comprehensive enterprise support and advanced features might opt for VMdetermine ESXi. You must evaluate your unique needs and resources to determine which is best.

A data recovery plan (DRP) is a structured approach that describes how an organization will respond quickly to resume activities after a disaster that disrupts the usual flow of activities. A vital part of your DRP is recovering lost data.  

Virtualization helps you protect your data online through virtual data recovery (VDR). VDR is the creation of a virtual copy of an organization’s data in a virtual environment to ensure a quick bounce back to normalcy following an IT disaster.

While having a virtual data recovery plan is good, you must also provide an off-site backup for a wholesome data recovery plan that can adequately prevent permanent data loss. An off-premises backup location provides an extra security layer in the event of data loss. Thus, you shouldn’t leave this out when planning your data recovery process.

Let’s try to look at this issue in a general way, knowing how diverse and capacious the issue of virtualization and disaster recovery is. Certainly, implementing a dedicated data protection solution will help streamline data protection and disaster recovery processes.

Benefits of Virtualization for Disaster Recovery

Virtualization plays a crucial role in disaster recovery. Its ability to create a digital version of your hardware offers a backup in the event of a disaster. Here are some benefits of virtualization for disaster recovery.

  • Recover Data From Any Hardware

If your hardware fails, you can recover data from it through virtualization. You can access your virtual desktop from any hardware, allowing you to recover your information quickly. Thus, you can save time and prevent data loss during disasters.

  • Backup and Restore Full Images

With virtualization, your server’s files will be stored in a single image file. Restoring the image file during data recovery requires you to duplicate and restore it. Thus, you can effectively store your files and recover them when needed.

  • Copy Data to a Backup Site

Your organization’s backups must have at least one extra copy stored off-site. This off-premise backup protects your data against loss during natural disasters, hardware failure, and power outages. Data recovery will help automatically copy and transfer files virtually to the off-site storage occasions.

  • Reduce Downtime

There’s little to no downtime when a disaster event occurs. You can quickly restore the data from the virtual machines. So recovery can happen within seconds to minutes instead of an hour, saving vital time for your organization.

  • Test Disaster Recovery Plans

Virtualization can help you test your disaster recovery plans to see if they are fail-proof. Hence, you can test and analyze what format works for your business, ensuring you can predict a disaster’s aftermath.

  • Reduce Hardware Needs

Since virtualization works online, it reduces the hardware resources you need to upscale. With only a few hardware, you can access multiple virtual machines simultaneously. This leads to a smaller workload and lower operation costs.

  • Cost Effective

Generally, virtualization helps to reduce the cost of funding virtual disaster recovery time. With reduced use of hardware and quicker recovery time, the data recovery cost is reduced, decreasing the potential loss caused by disasters.

Data Recovery Strategies for Virtualization

Below are some practical strategies to help build a robust data recovery plan for your organization’s virtual environment:

  • Backup and Replication

Create regular backups of your virtual machines that will be stored in a different location—for instance, an external drive or a cloud service. You can also create replicas and copies of your virtual machines that are synchronized with the original. You can switch from the original to a replica in case of failure.

  • Snapshot and Restore

Snapshots capture your data at specific preset moments, creating memories of them. Restore points also capture data but include all information changes after the last snapshot. You can use snapshot and restore to recover the previous state of your data before the data loss or corruption.

  • Encryption and Authentication

Encryption and authentication are essential security measures that work in tandem to safeguard data from unauthorized access. By employing both methods, you establish robust layers of defense. This, thereby, fortifies your data against potential cyber threats, ultimately mitigating the risks associated with corruption and theft.

Conclusion

Creating a disaster recovery plan is crucial for every organization as it helps prevent permanent data loss in the event of a disaster, leading to data loss or corruption. Virtualization helps in data recovery by creating a virtual copy of your hardware that can be accessed after a disaster.

Virtualization reduces downtime, helps to recover data from the hardware, reduces hardware needs, and facilitates testing your data recovery plans. However, you must note that virtual data recovery is only a part of a failproof disaster recovery plan. You must make provisions for an off-premises backup site for more robust protection.

About Storware
Storware is a backup software producer with over 10 years of experience in the backup world. Storware Backup and Recovery is an enterprise-grade, agent-less solution that caters to various data environments. It supports virtual machines, containers, storage providers, Microsoft 365, and applications running on-premises or in the cloud. Thanks to its small footprint, seamless integration into your existing IT infrastructure, storage, or enterprise backup providers is effortless.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Why IT Leaders Are Seeking VMware Alternatives

Scale Computing CEO Series: VMware Alternatives

 

The ripple effects of the VMware acquisition by Broadcom at the close of 2023 continues to be felt across the IT world, sparking uncertainty among customers and partners alike. From rising costs to discontinued product lines and shifting roadmaps, many organizations are now reevaluating their reliance on VMware. If you’ve been thinking about upgrading your systems, simplifying your IT infrastructure, and saving significant management time, you’re not alone.

In a new video, Scale Computing CEO Jeff Ready, sheds some light on how Scale Computing offers a practical and cost-effective VMware alternative for those who feel trapped in a cycle of escalating costs and operational headaches.

As Jeff notes, many customers have built their VMware-based systems incrementally over time, leading to a tangled “ball of twine” that feels increasingly convoluted, costly, and hard to manage. While the thought of migrating to a new solution can seem daunting, it’s also an opportunity to embrace a simpler, more streamlined future. Scale Computing’s solutions are purpose-built to simplify IT operations, enabling organizations to reduce management overhead by up to 90%.

One of the key concerns for IT leaders exploring VMware alternatives is compatibility. “Can this alternative run my workloads?” is often the first question. Scale Computing answers this with confidence, offering a seamless migration that doesn’t take years of effort. Jeff highlights how the SC//Platform effortlessly integrates with existing systems, from backups to security tools, minimizing disruption and easing the path to modernization.

But the benefits go beyond just functionality. Organizations that make the switch to Scale Computing experience transformative changes in how IT is managed. With a system designed from the ground up to minimize complexity, IT teams are freed from the endless cycle of ‘bolted- on’ fixes and managing siloed systems. As Jeff explains in the video, customers frequently return after a few months to share how Scale Computing’s solutions have “changed their life as an IT person.”

If you’re ready to simplify, reduce costs, and embrace a modernized way to manage your infrastructure, there’s never been a better time to explore your options. Watch the full video to hear directly from Jeff and learn how Scale Computing can transform your IT operations today.

About Scale Computing
Scale Computing is a leader in edge computing, virtualization, and hyperconverged solutions. Scale Computing HC3 software eliminates the need for traditional virtualization software, disaster recovery software, servers, and shared storage, replacing these with a fully integrated, highly available system for running applications. Using patented HyperCore™ technology, the HC3 self-healing platform automatically identifies, mitigates, and corrects infrastructure problems in real-time, enabling applications to achieve maximum uptime. When ease-of-use, high availability, and TCO matter, Scale Computing HC3 is the ideal infrastructure platform. Read what our customers have to say on Gartner Peer Insights, Spiceworks, TechValidate and TrustRadius.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

Your data, safe and sound: How CloudM Backup helps you sleep at night

Data breaches are rising, costing businesses an average of $4.88M per incident. With a growing cybersecurity skills gap, IT teams are turning to automated solutions like CloudM Backup to stay ahead of threats.

A smarter way to safeguard your user data

One way to keep your data safe is by ensuring that you have a rigorous yet flexible backup process in place. Frequent backups enable you to restore lost or corrupt data and ensure that your teams can continue working. 

This is where CloudM Backup comes in. CloudM Backup ensures your business recovers quickly from data loss, minimizing downtime and disruption. Here are some of the key features that keep your emails, drive items and calendar data safe.

Quickly identify and remove gaps in your data protection setup

CloudM Backup’s modern, insightful dashboard gives you full visibility of the state of your backups and associated policies. See at a glance which users aren’t protected and swiftly amend your backup policies to ensure all vital business data is secured.

Image: Access the dashboard to identify which users are not covered by an existing backup policy.

Use notifications to stay up to date

Set up email notifications for any element of your backup process and get updates delivered straight into your inbox. This is particularly useful in situations where manual intervention may be needed, such as if a backup fails multiple times.

Image: Set up granular notifications so you know when your processes aren’t running smoothly.

 

Beyond backups: Advanced security features you can rely on

Backup has a host of further security features that may be less obvious but no less important than dashboards and notifications. These include:

Recover deleted emails

Restore lost messages from previous backups, ensuring vital conversations do not get lost.

Avoid vendor lock-in

Stay in control of your data by storing backups in your AWS or GCP environment.

Customize backup frequency (coming soon)

Automatically adjust backup schedules based on team or location-specific policies.

 

Getting started is quick and easy

CloudM Backup simplifies data protection with powerful yet user-friendly features. From hero features such as its modern dashboard which delivers key insights at a glance and customizable notifications delivered straight to your inbox, to powerful background functionality, you can rely on CloudM Backup to keep your vital business data safe. It doesn’t take long to get started, either: You can set up reliable yet flexible backup policies in as little as 5 steps. Book a demo now to find out more.

With CloudM Backup, you can backup the following Calendar data:

  • Events and meetings: We back up and restore meeting which include meeting links, including Zoom links. We do not back up events without meeting links.

Yes, you can back up recurring meetings with CloudM Backup.

We do not back up Tasks at the moment.

In Google Calendar, attachments are a link to a Drive item. We will back up the item if the user’s Drive is also being backed up and restore the meeting with the link included. The Drive file itself can be backed up separately if required.

These will be backed up as event attendees. Handling of edge cases, such as when a user tries to restore an event and the resource has since become occupied, will be handled by your Workspace administrator.

The default frequency for backing up Calendar is 8 hours.

Please check our knowledge base for detailed information on how to restore a backup of Google Calendar.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

About CloudM
CloudM is an award-winning SaaS company whose humble beginnings in Manchester have grown into a global business in just a few short years.

Our team of tech-driven innovators have designed a SaaS data management platform for you to get the most from your digital workspace. Whether it’s Microsoft 365, Google Workspace or other SaaS applications, CloudM drives your business through a simple, easy-to-use interface, helping you to work smarter, not harder.

By automating time-consuming tasks like IT admin, onboarding & offboarding, archiving and migrations, the CloudM platform takes care of the day-to-day, allowing you to focus on the big picture.

With over 35,000 customers including the likes of Spotify, Netflix and Uber, our all-in-one platform is putting office life on auto-pilot, saving you time, stress and money.

Scalability: Building for the future by starting right today

From SaaS platforms supporting millions of users to APIs enabling seamless integrations, scalability is foundational for businesses to thrive in 2025 and beyond. Yet, achieving true scalability remains elusive for many organizations. The challenges lie not only in the tools we use but in the very architecture of the systems we build.

The scalability bottleneck: APIs under strain

APIs are the glue that binds modern digital ecosystems, enabling systems to communicate and work together. However, many APIs today face significant bottlenecks. For instance, with SaaS service APIs that vendors offer up for general use, we see everything from explicit throttling (e.g., “come back later” type responses) to slow responses or outright intermittent failures. These common issues limit their usefulness, and as businesses grow and integration demands increase, these bottlenecks become critical barriers. For us to move forward with better and tighter integrations between systems, we need the APIs to scale to higher volume use. An API that can’t handle high volumes is effectively pointless. The value of an API lies in its reliability and capacity — usable not just occasionally or under ideal conditions but consistently and at scale. Without this, businesses are left with “just enough” functionality that falls short of real-world demands.

Is the root cause architectural complexity?

Probably. It’s difficult to know what the limiting factors are from the outside, but it appears that one of the biggest challenges to scalability is that some services — for one reason or another, which I’ll get into later — are built on an architecture that is difficult to scale to higher volume use. The truth is that many services today are built on architectures that were never designed to handle the scale they now face. (More on this in the next section.) For example, a service dependent on a central database might experience diminishing returns when additional API front-end nodes are introduced. The database becomes a choke point — an architectural bottleneck that cannot be overcome by merely adding resources. Elastic scaling promises easy solutions, but in reality, scaling a service often requires more than increasing hardware resources. It demands a foundational shift in how the system is designed. Retrofitting a system to scale can be akin to replacing the foundation of a house while living in it —technically possible but fraught with challenges and runaway costs.

The high cost of shortcuts

In the rush to bring products to market, startups often face immense pressure to deliver something they can showcase to stakeholders, investors, or potential customers. To meet these demands, it’s tempting to cobble together systems that “mostly fit.” This approach allows them to quickly demonstrate the viability of their idea and gain early traction. However, this expediency often comes at a significant long-term cost. The patchwork nature of such systems creates an underlying complexity that is difficult — and sometimes impossible — to scale effectively. Early success can mask these architectural flaws, and as the product gains market traction, securing business approval for a complete re-architecture becomes increasingly difficult. After all, why invest in fixing something that appears to be working? The irony is that while these shortcuts may save time initially, they often result in delays, frustrations, and limitations in the long run. Organizations find themselves unable to “throw hardware at the problem,” as the underlying complexity prevents effective scaling. Importantly for the fast-moving startups, investors are not blind to this either — technical due diligence is undertaken precisely to uncover if the proverbial castle is built on sand.

The way forward: Simplicity in architecture

To build scalable systems, simplicity must be the guiding principle. It must be built on the “simplest possible” architecture. As the saying goes, “All computers wait at the same speed.” No amount of hardware can compensate for a poorly designed architecture. Simplicity not only reduces costs and increases reliability but also lays the groundwork for systems that can grow seamlessly with demand. This requires a shift in industry mindset. Businesses and engineers alike must prioritize proper engineering and thoughtful architecture from the outset. While the benefits of this approach may not be immediately apparent, they will pay dividends over the lifecycle of the system.

A call to action: Invest in good design

The best way to solve scalability challenges is to avoid creating them in the first place. This begins in the architectural phase of development. Engineers must approach design with a critical eye, recognizing that complexity is the enemy of scalability. Businesses must be willing to invest in thoughtful engineering, even if it means slowing down initial development to build systems that will last. “Slow down to go fast” may be a platitude, but it holds true when it comes to scalability. While easy to say, it requires hard decisions and deliberate effort to design scalable systems from the outset. Thoughtfully built systems not only handle current demands but will scale seamlessly as needs evolve.

Conclusion: Building for a scalable future

Scalability is not just a technical challenge — it’s a strategic imperative. Organizations that succeed in 2025 and beyond will be those that prioritize simplicity, invest in thoughtful architecture, and resist the temptation to cut corners. By addressing scalability challenges head-on, businesses can build systems that not only meet today’s needs but are ready to grow with the demands of tomorrow. The future of scalability is in our hands: Let’s design it deliberately.

About Keepit
At Keepit, we believe in a digital future where all software is delivered as a service. Keepit’s mission is to protect data in the cloud Keepit is a software company specializing in Cloud-to-Cloud data backup and recovery. Deriving from +20 year experience in building best-in-class data protection and hosting services, Keepit is pioneering the way to secure and protect cloud data at scale.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

What is Service Integration and Management (SIAM)?

Introduction to Service Integration and Management 

Imagine an orchestra: each section—strings, wind instruments, percussion—plays its part, but only together do they create a perfect symphony. This orchestra is the modern company, with all its services, both internal and those provided externally. 

In the IT world, Service Integration and Management (SIAM) plays the role of the “conductor,” coordinating different service providers to deliver an optimal and uninterrupted IT experience. 

SIAM, therefore, provides a structured approach to unifying service delivery, improving collaboration, accountability, performance, and coordination among all providers. This is a crucial role in the type of ecosystem in which today’s companies operate. 

In this article, we will explore in detail the characteristics, functionalities, benefits, and challenges of Service Integration and Management. We will outline the three main SIAM models and also provide a look at future trends and the challenges they bring.  

 

What is Service Integration and Management (SIAM)? 

As mentioned at the beginning, Service Integration and Management is a framework that integrates and coordinates IT services provided by multiple vendors. 

More concretely, it is not just a management approach but an operational philosophy that aims to create consistency and value in an increasingly fragmented IT landscape that evolves at an ever-faster pace. 

All this happens with a continuous and automated improvement perspective. 

The Main Objectives of Service Integration and Management 

The objectives of adopting the SIAM framework are numerous and interconnected. 
However, the main ones can be summarized in four key points: 

  1. Service Integration: Unifying processes and operational flows to eliminate inefficiencies and ensure overall higher service quality. 
  2. Assignment of Responsibilities: Clearly defining roles for providers, reducing conflicts, overlaps, and misunderstandings. 
  3. Optimal Collaboration: Encouraging a collaborative culture among providers, with a focus on common goals. This is essentially the combined result of the two previous points. 
  4. Risk Reduction and Increased Security: Minimizing operational issues arising from disjointed service management, avoiding disruptions, and at the same time enhancing overall security levels. 

How Does Service Integration and Management Work? 

  1. Centralized Governance

Governance is the heart of Service Integration and Management systems. An effective governance structure ensures that all providers are aligned with business needs. 

In practice, this means centralized dashboards and reporting, through which processes and results can be monitored, problems resolved, and opportunities for continuous improvement identified. 

 

  1. Well-Defined Roles

One of the founding principles of SIAM is a clear definition of roles and responsibilities. Specifically: 

  • Client: The organization that requests services and sets objectives. 
  • Service Provider: The vendors that deliver the requested services. 
  • Service Integrator: The entity responsible for coordinating and aligning providers. 

  1. Enabling Technologies

After governance and role definition, it is time for actual enablement through technology. At this stage, it is essential to pay close attention to the specific characteristics and needs of each company. 

ITSM solutions like EV Service Manager enable service integration, performance monitoring, and the automation of complex processes with an increasingly customized approach. 

  1. Alignment with ITIL Practices

SIAM integrates seamlessly with established frameworks like ITIL. 

A practical example: ITIL defines processes and best practices for IT service management, while Service Integration and Management ensures that these processes are implemented consistently across multiple providers. 

For an overview of ITIL’s definition and importance, see this article on our blog. 

The Benefits of Service Integration and Management 

The benefits of implementing Service Integration and Management systems are numerous and interconnected. Some are immediate and act in the short term, while others are more indirect and yield results over longer time horizons. 
Below are the most decisive ones: 

  1. Transparency

Centralized management provides a clear view of activities and performance for each provider. 

  1. Operational Efficiency

Coordination among providers eliminates duplications and work overlaps, minimizing waste, improving process efficiency, and reducing costs. 

  1. Improved Service Quality

Through integration and collaboration among providers, SIAM ensures more consistent and higher-quality IT services. This is a crucial advantage for any company. 

  1. Risk Reduction

A centralized management approach allows for the rapid and effective identification and mitigation of operational risks—a point already highlighted earlier in this article. 

  1. Greater Alignment with Business Objectives

SIAM systems ultimately ensure that all providers work toward achieving business goals, increasing the overall value of IT services. 

Service Integration and Management: Three Models Compared 

There are three main SIAM models, which differ in structure and approach. Each brings specific advantages and limitations. 
Here’s an overview: 

  1. Internal Service Integrator

In this model, the company internally manages service integration. A dedicated team or department coordinates and manages various providers. 

  • Advantages: Maximum control, complete oversight of every aspect of integration, higher customization levels. 
  • Limitations: Requires high internal expertise, has high operational costs, and carries management risks (e.g., staff turnover or lack of specific skills). 

  1. External Service Integrator

In this model, the company outsources service integration to a third-party specialist. This external integrator is responsible for managing and coordinating all service providers and, in some cases, may also be one of the providers. 

  • Advantages: External integrators bring experience, best practices, and advanced industry expertise. They often offer cost-effective solutions and allow companies to focus on their core activities. 
  • Limitations: Loss of direct control, potential misalignment between the company and the provider, and complexities in communication and workflows. 

  1. Hybrid Service Integrator

The hybrid model combines the advantages of internal and external models. Organizations retain some integration functions internally while outsourcing others to a specialized provider. This approach offers flexibility, balancing strategic control and operational efficiency. 

However, success depends on how well this delicate balance is set up. 

Challenges of a Service Integration and Management Approach 

Regardless of the chosen SIAM model, its implementation comes with challenges. Among them: 

  • Resistance to Change: Providers and internal teams may be reluctant to adopt new operational methods. 
  • Initial Complexity: Setting up a SIAM system requires a significant investment in resources and time. 
  • Communication: Ensuring effective communication among multiple providers is a complex task that requires advanced tools and well-defined processes. 
  • Continuous Monitoring: To keep the system running smoothly, constant monitoring and regular performance analysis are necessary. 

Future Trends in Service Integration and Management 

With the ever-evolving IT landscape, SIAM systems are rapidly adapting to face new challenges and leverage emerging opportunities. 
Here are three major trends on the horizon: 

  1. Advanced Automation

The integration of AI and machine learning is already transforming SIAM. Automated systems can identify problems before they occur and suggest solutions, reducing human workload. 

  1. SIAM-as-a-Service

More and more companies are exploring “as-a-service” models, relying on external providers to manage the entire integration and coordination process. The outsourced model seems to be the winning approach. 

  1. Focus on Sustainability

Organizations are beginning to incorporate sustainability metrics into SIAM management, including eco-friendly practices in contracts and processes. This is demanded by regulators and increasingly valued by customers. 

 Conclusion 

Service Integration and Management is an essential approach for managing complex multi-vendor environments. Through centralized and integrated management, SIAM helps organizations improve service quality, reduce risks, and optimize resources. 

For organizations wanting to remain competitive in a rapidly evolving landscape, adopting SIAM is not just a strategic choice—it is an increasingly urgent necessity. 

 FAQ 

  1. What is Service Integration and Management?
    A framework that integrates and coordinates IT service providers to ensure efficient management aligned with business goals.
  2. How is SIAM implemented?
    Through a combination of governance, advanced ITSM tools, and clearly defined roles.
  3. What are the future trends in SIAM?
    Automation, “as-a-service” models, and a stronger focus on sustainability.
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About EasyVista  
EasyVista is a leading IT software provider delivering comprehensive IT solutions, including service management, remote support, IT monitoring, and self-healing technologies. We empower companies to embrace a customer-focused, proactive, and predictive approach to IT service, support, and operations. EasyVista is dedicated to understanding and exceeding customer expectations, ensuring seamless and superior IT experiences. Today, EasyVista supports over 3,000 companies worldwide in accelerating digital transformation, enhancing employee productivity, reducing operating costs, and boosting satisfaction for both employees and customers across various industries, including financial services, healthcare, education, and manufacturing.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.

GREYCORTEX Mendel 4.4 Released

We have released a new service version of GREYCORTEX Mendel.

Version 4.4 introduces a transition to the new CentOS operating system, enabling us to deliver more advanced functionalities in future versions, including:

  • Completely redesigned user rights management with native integration to identity services, supporting SSO and MFA.
  • High availability with collector redundancy (Phase 1).
  • Vulnerability mapping (CVE) tailored for OT devices.
  • Threat Intelligence 2.0 features a custom source definition with automated data processing.
  • Redesigned NBA events, leveraging the UnTE (tagging) engine for improved correlation.
  • Logical sensors optimized for MSSP deployment.
  • Application data analysis for deeper operational insight and environment identification.

The rollout of version 4.4 for existing customers started gradually in February 2025.

 

About GREYCORTEX
GREYCORTEX uses advanced artificial intelligence, machine learning, and data mining methods to help organizations make their IT operations secure and reliable.

MENDEL, GREYCORTEX’s network traffic analysis solution, helps corporations, governments, and the critical infrastructure sector protect their futures by detecting cyber threats to sensitive data, networks, trade secrets, and reputations, which other network security products miss.

MENDEL is based on 10 years of extensive academic research and is designed using the same technology which was successful in four US-based NIST Challenges.

About Version 2 Limited
Version 2 Digital is one of the most dynamic IT companies in Asia. The company distributes a wide range of IT products across various areas including cyber security, cloud, data protection, end points, infrastructures, system monitoring, storage, networking, business productivity and communication products.

Through an extensive network of channels, point of sales, resellers, and partnership companies, Version 2 offers quality products and services which are highly acclaimed in the market. Its customers cover a wide spectrum which include Global 1000 enterprises, regional listed companies, different vertical industries, public utilities, Government, a vast number of successful SMEs, and consumers in various Asian cities.