Operations | Monitoring | ITSM | DevOps | Cloud

The 2 AM pager alert. For anyone in Ops, SRE, or IT administration, those words trigger a familiar sense of dread. An alert has fired. Is it a real fire, or another false alarm waking you from a dead sleep? The pressure is on. Every minute of downtime costs money and reputation, but troubleshooting a complex system when you’re sleep-deprived is a Herculean task.

We are excited to announce that Netdata has officially implemented the Model Context Protocol (MCP), joining the forefront of AI-powered infrastructure monitoring.

We’ve been thinking a lot about synthesis lately. Netdata already samples every metric every second at the edge. Engineers told us the remaining pain point was synthesis, the ability to pull hours or days or months of high‑resolution time‑series into a concise explanation they could hand to a teammate (or use themselves to debug faster).

We are pleased to announce that Netdata has successfully achieved SOC 2 Type 1 attestation! Following an independent examination performed by AssuranceLab CPAs LLC, the report confirms that—as of April 25, 2025—the design of Netdata’s controls meets the Security, Availability, and Confidentiality Trust Services Criteria defined by the AICPA. At Netdata, the security and integrity of the monitoring data our users entrust to us are paramount.

For a tool like Netdata, monitoring crashes and abnormal events extends far beyond bug fixing—it’s essential for identifying edge cases, preventing regressions, and delivering the most dependable observability experience possible. With millions of daily downloads, each event provides a vital signal for maintaining the integrity of our systems.

When it comes to infrastructure monitoring, performance, scalability, and efficiency are critical considerations. In this blog post, we revisit two widely adopted open-source monitoring solutions: Netdata and Prometheus. Both tools have introduced notable improvements in their latest versions, emphasizing scalability and enhanced efficiency.

Netdata’s database engine (dbengine) provides a sophisticated multi-tiered storage system designed for efficient long-term data retention while maintaining high granularity. This article explores the technical details of how Netdata handles metric storage, the advantages of its distributed architecture, and how to configure it for your specific needs.

As we are close to the end of this year, we are thrilled to announce that Netdata has been recognized with multiple “Best of” badges from Gartner Digital Markets brands: Capterra, Software Advice, and GetApp, leading software recommendation search engines. This “Best of” badges program is an independent assessment that evaluates user reviews to help buyers identify the highest-rated software companies in specific categories that offer the most popular solutions.

Now you can start monitoring thousands of metrics in real-time, detecting anomalies throughout your infra, and troubleshooting issues even mid-crisis! Watch this 1-minute video for a quick intro! Get ready to be blown away!

Monitoring is personal. Different systems, workloads, and use-cases mean different charts matter to different users. Netdata now makes it easier than ever to customize your experience by letting you favorite charts you care about most.