Operations | Monitoring | ITSM | DevOps | Cloud

Recently, I read a blog titled “It’s The End Of Observability As We Know It (And I Feel Fine)”, which discussed MCP servers in observability and how these systems would potentially be the “end of observability”. As someone who has spun up an MCP server for an observability backend and as someone who has been in the space for a while, I certainly do not think so.

Choosing the right observability platform is a critical decision. But how you deploy it is just as important. The right deployment strategy can accelerate your team, simplify operations, and ensure you meet compliance and security requirements. The wrong one can lead to operational headaches and slow you down. At SigNoz, we believe in flexibility. There is no single "best" way to deploy an observability platform; there's only the way that's best for you.

In the era of AI, software development is at an inflection point, and observability has never been more critical. Teams are dealing with more code, more data, and more pressure than ever before. To navigate these new challenges, you need a partner with a strong vision for the future and a knack for looking around corners. Honeycomb is proud to be named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms.

When Uptrends became part of ITRS, we knew we were joining a team deeply committed to innovation, precision, and people — whether those people were troubleshooting transaction journeys from their laptops at 8am or keeping enterprise-scale operations online 24x7. We’ve come far since then.

I’m pleased to announce the public beta of Honeycomb Hosted MCP, along with our first wave of one-click integrations for Cursor, Visual Studio Code, and Claude Desktop. We’re also very excited to announce that Hosted MCP is available on AWS AI Agents marketplace and for all Honeycomb plans (including our free plan!) at no charge. Honeycomb was built with a singular focus: how do we help teams become better at the art and craft of software development, delivery, and operations?

It’s official: ScienceLogic has entered the observability arena. Named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms, we believe we’re helping define where observability is heading, not just where it’s been. This marks our first inclusion in this Magic Quadrant and, in our opinion, validates our mission to redefine intelligent, actionable observability in the era of AI and automation.

We’re excited to announce version 2.2.0 of the backend for our Kubernetes Monitoring solution in Grafana Cloud is now available. The app’s backend is supported by kubernetes-mixin, an open source Prometheus Monitoring Mixin, and this latest version features significant improvements to alert rules and recording rules that will enhance your cluster observability and monitoring experience. There’s a lot to tell you about, so let’s dive in.

As large language models (LLMs) grow more powerful, organizations are deploying agentic AI applications to tackle complex, multi-step tasks. With Amazon Bedrock Agents, developers can orchestrate these agents to manage tasks such as triggering serverless functions, calling APIs, accessing knowledge bases, and maintaining contextual conversations—all while breaking down complex user requests or tasks into manageable steps.

Arie van den Heuvel is an engineer, a System and Application Management Specialist, and a valued member of our community. Below he has shared his journey using Coroot, and how it has helped improve observability for his team. You can read more of Arie’s writing and support the resource articles he has created for open source on his blog.