Today, we’re making it even easier to find and solve user-impacting issues with three new Sentry Performance features.

Today we’re happy to announce our new VictoriaMetrics Anomaly Detection solution, which harnesses machine learning to make database alerts more relevant, accurate and actionable for enterprise customers. VictoriaMetrics Anomaly Detection lightens the load on overworked data engineers, focusing their scarce resources on the alerts that matter most to their organization.

At Squadcast, we're continually striving to empower our users with the tools they need to handle incidents swiftly and effectively. Today, we're thrilled to announce the launch of our latest feature: Additional Responders. This feature marks a significant step forward in enhancing collaboration and coordination during incident response.

Over the last five years we’ve seen our customers run 583,954 incidents more efficiently thanks to a shared workspace, powerful Runbook automations, and auto-captured data. Yet despite a great deal of progress, incident efficiency hasn’t achieved peak potential. We talk to a lot of folks that are still stuck in the muck: new responders struggle to get up to speed quickly, incident commanders wade through post-incident drudgery, and knowledge silos prevent comprehensive improvements.

Four years ago, we stepped on some big toes with our developer-first performance monitoring. Since then thousands of software teams have adopted our modern APM solution. But while Performance checks off a lot of boxes, some dev teams juggle separate tools for metrics, leading to a fractured experience. And honestly, what good is a metric without all the context you get from Sentry? Not very – it makes tying problems back to underlying errors or performance issues unnecessarily difficult.

With the release of.NET 8, Microsoft released a new framework called.NET Aspire that’s shaking up the way distributed applications are crafted. Aspire makes it painless to configure and deploy distributed apps in.NET. You can check out the Aspire docs for a full rundown.

We are delighted to announce the release of Rancher Desktop 1.13.0! This update comes with the basic support for running WebAssembly (Wasm) containers and deploying them to Kubernetes, along with other improvements and fixes.

Some time ago, we started research and development efforts to create components for Icinga aimed at monitoring Kubernetes environments. Over the past months, we have gained valuable insights into the platform and how we can monitor Kubernetes with Icinga efficiently.

Selector is excited to give a sneak peek into new features to be included in our forthcoming Spring Release. This release highlights key innovations focusing on integrated generative AI (GenAI) to enable guided troubleshooting and automated incident remediation. It also includes enhancements to several existing features, such as root cause analysis, native monitoring, and observability capabilities.

I'm pleased to announce a new feature that we've been building for over a year: Honeybadger Insights. Insights is our take on logging and performance monitoring, helping application developers gain deeper visibility into what's happening with their applications. It goes beyond application monitoring and responding to exceptions and downtime. Insights lets you drill down into the details and step back to see patterns in your data.