Operations | Monitoring | ITSM | DevOps | Cloud

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.

This is a guest post from Armin Ulrich, a fullstack developer, and founder of placid.app. He also created the MadeWith* network where he shares his projects and allows other developers to share theirs. There are many things I would rather do at 9pm than tracking down a mission-critical bug, but sometimes you don’t have a choice. Let me tell you the story about a slow query that led to a cascading failure–and how it could have been worse.

StatusGator supports custom email branding on our Enterprise plan and as an add-on to other plans, allowing your customers or end-users to get an email that has your organization logo and sends from your organization’s email address. Previously, this email logo used the same image as your status page. Now, you can upload a custom logo to be used just for your emails. Enjoy improved branding by uploading a logo that fits the email perfectly.

Modern applications generate a deluge of telemetry data—logs, metrics, and traces—that hold the key to understanding system performance and reliability. However, managing this data effectively is a growing challenge for DevOps teams. Raw telemetry can overwhelm teams with complexity and noise even when collected via robust standards like OpenTelemetry.