Operations | Monitoring | ITSM | DevOps | Cloud

For decades, the enterprise network was a well-defined fortress and network engineers were its meticulous guardians. However, their visibility and control was largely confined within the parameters of their organization's infrastructure. The cloud revolution and the ubiquity of SaaS applications have shattered these traditional boundaries. Today, for virtually every organization, the internet is the new enterprise network.

Server performance metrics help you figure out what’s going wrong, where your bottlenecks are, and how your system handles load. They give you the data to plan capacity, fix issues before they escalate, and build more reliable infrastructure. In this guide, we’ll go over the core metrics that matter, how to monitor them effectively, and the tools that can help along the way.

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).

One of the biggest asks from our open-source community has been to open-source our SSO support, which was part of our enterprise offering. Today, we’re thrilled to announce that support for SSO with Google OAuth is now part of our latest release. Latest version: v0.85.0 Not only that, we've also shipped another highly anticipated feature for our Community Edition: API Keys for comprehensive programmatic access to SigNoz.

After 12 years of faithful service, the TrackJS interface was starting to show its age. Not that it wasn’t working—it was still doing exactly what our customers needed it to do. But when you’re staring at Bootstrap styles from 2012 and a version of LESS that might be officially defunct, it’s probably time for a refresh.

To gain adequate visibility into your distributed applications, you need to observe those applications at different levels of granularity. This means that you need to be able to query collected telemetry data both at the level of the whole application and at the level of selected components. Thanks to the power of Datadog tagging, you can already do this by aggregating your metrics within any scope of your choosing.

By Sara Miteva Sr. Product Marketing Manager, Checkly ‍ Modern applications are complex. Microservices, third-party dependencies, and continuous deployments all contribute to a flood of telemetry data—logs, metrics, traces—flying in from every direction.

Grafana Alerting has evolved dramatically since the legacy dashboard-alert days. Today, Grafana-managed alerts power enterprise-scale monitoring in Grafana Cloud and on-prem installations. And over the last two years, we’ve added RBAC, state history, versioning, and much more. At the same time, our own monitoring at Grafana Labs relies heavily on Prometheus-style alerts—a situation that’s not uncommon for our users, too.