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Checkmk 2.4 Integrates OpenTelemetry and Synthetic Testing

Checkmk today announced the release of version 2.4, introducing powerful new features  designed to enhance full-stack monitoring. With integrated OpenTelemetry metrics and synthetic testing, IT teams gain end-to-end visibility across all layers of the IT stack — from infrastructure and applications to end-user experience. These capabilities enable faster, more proactive issue resolution and significantly reduce mean time to resolution (MTTR). Version 2.4 also introduces features such as quick setup for cloud workload monitoring and a redesigned Notification Hub, which reduce administrative overhead and lighten the load on overburdened IT teams. With this release, Checkmk addresses two of the biggest challenges in modern IT: rising system complexity and the ongoing shortage of skilled professionals.

Checkmk’s integration of OpenTelemetry allows IT teams to look inside their applications and monitor performance, availability, and potential failure points—right from the application code, all within a single platform. The built-in OpenTelemetry collector ingests data directly or via Prometheus endpoints, translates it into actionable metrics, and maps them to the relevant hosts. This provides clear visibility into not just what is failing, but where and why, enabling faster root cause analysis and targeted fixes — even for previously unidentified issues.

Checkmk 2.4 also introduces enhanced synthetic monitoring capabilities, making it easier for teams to create tests that simulate user behavior and assess availability, performance, and functionality from the end-user perspective. First introduced in version 2.3, synthetic testing is now fully integrated into the Checkmk interface. Test robots that simulate user behavior can be uploaded via the web UI and centrally configured and managed. These managed robots can be cloned, customized, and automatically deployed to Linux or Windows test nodes using the Checkmk Agent Bakery. New features also support synthetic testing in isolated offline environments, and KPI monitoring allows teams to track and analyze individual process steps within each test.

Checkmk 2.4 introduces a range of enhancements that boost usability, increase automation, and improve efficiency — while reducing administrative overhead. 

Highlights include:

  • Quick Setup: Cloud monitoring in minutes - Checkmk’s new Quick Setup feature streamlines and accelerates cloud monitoring configuration across AWS, Azure, and GCP. A guided, step-by-step process handles complex setup tasks in the background and verifies system connections, enabling administrators to achieve full cloud visibility quickly and reliably.
  • Notification Hub: Simplified alert configuration - The new Notification Hub streamlines the configuration, management, and fine-tuning of alerting workflows through an intuitive interface and improved user guidance. Key settings are centralized and accessible with just a few clicks, while real-time status messages and troubleshooting tips help users stay informed and respond quickly. Usability features such as search, slide-outs, and drop-down menus make setup more efficient. A newly added guided mode walks beginners through the configuration process step-by-step — saving time and reducing the risk of misconfiguration.
  • Dynamic host management: Automated control of Kubernetes clusters - In dynamic environments like Kubernetes or virtualized systems, hosts are constantly being created and removed. Checkmk detects these changes in real time, automatically adds new hosts to the monitoring system, and reliably removes those that no longer exist. Designed for maximum scalability, the dynamic host management feature ensures stable, high-performance monitoring — even with hundreds of changes per minute.

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Checkmk 2.4 Integrates OpenTelemetry and Synthetic Testing

Checkmk today announced the release of version 2.4, introducing powerful new features  designed to enhance full-stack monitoring. With integrated OpenTelemetry metrics and synthetic testing, IT teams gain end-to-end visibility across all layers of the IT stack — from infrastructure and applications to end-user experience. These capabilities enable faster, more proactive issue resolution and significantly reduce mean time to resolution (MTTR). Version 2.4 also introduces features such as quick setup for cloud workload monitoring and a redesigned Notification Hub, which reduce administrative overhead and lighten the load on overburdened IT teams. With this release, Checkmk addresses two of the biggest challenges in modern IT: rising system complexity and the ongoing shortage of skilled professionals.

Checkmk’s integration of OpenTelemetry allows IT teams to look inside their applications and monitor performance, availability, and potential failure points—right from the application code, all within a single platform. The built-in OpenTelemetry collector ingests data directly or via Prometheus endpoints, translates it into actionable metrics, and maps them to the relevant hosts. This provides clear visibility into not just what is failing, but where and why, enabling faster root cause analysis and targeted fixes — even for previously unidentified issues.

Checkmk 2.4 also introduces enhanced synthetic monitoring capabilities, making it easier for teams to create tests that simulate user behavior and assess availability, performance, and functionality from the end-user perspective. First introduced in version 2.3, synthetic testing is now fully integrated into the Checkmk interface. Test robots that simulate user behavior can be uploaded via the web UI and centrally configured and managed. These managed robots can be cloned, customized, and automatically deployed to Linux or Windows test nodes using the Checkmk Agent Bakery. New features also support synthetic testing in isolated offline environments, and KPI monitoring allows teams to track and analyze individual process steps within each test.

Checkmk 2.4 introduces a range of enhancements that boost usability, increase automation, and improve efficiency — while reducing administrative overhead. 

Highlights include:

  • Quick Setup: Cloud monitoring in minutes - Checkmk’s new Quick Setup feature streamlines and accelerates cloud monitoring configuration across AWS, Azure, and GCP. A guided, step-by-step process handles complex setup tasks in the background and verifies system connections, enabling administrators to achieve full cloud visibility quickly and reliably.
  • Notification Hub: Simplified alert configuration - The new Notification Hub streamlines the configuration, management, and fine-tuning of alerting workflows through an intuitive interface and improved user guidance. Key settings are centralized and accessible with just a few clicks, while real-time status messages and troubleshooting tips help users stay informed and respond quickly. Usability features such as search, slide-outs, and drop-down menus make setup more efficient. A newly added guided mode walks beginners through the configuration process step-by-step — saving time and reducing the risk of misconfiguration.
  • Dynamic host management: Automated control of Kubernetes clusters - In dynamic environments like Kubernetes or virtualized systems, hosts are constantly being created and removed. Checkmk detects these changes in real time, automatically adds new hosts to the monitoring system, and reliably removes those that no longer exist. Designed for maximum scalability, the dynamic host management feature ensures stable, high-performance monitoring — even with hundreds of changes per minute.

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In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 5 covers APM and infrastructure monitoring ...

AI continues to be the top story across the industry, but a big test is coming up as retailers make the final preparations before the holiday season starts. Will new AI powered features help load up Santa's sleigh this year? Or are early adopters in for unpleasant surprises in the form of unexpected high costs, poor performance, or even service outages? ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers user experience, digital performance, website performance and ITSM ...

In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...

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IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...

Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...

Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...

For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...