Operations | Monitoring | ITSM | DevOps | Cloud

The latest News and Information on Observabilty for complex systems and related technologies.

How to Cut Observability Costs with Synthetic Monitoring and Responsive Pipelines

Platform teams are struggling with observability noise, bloated storage costs, and lack of clarity during incidents. Most teams capture everything all the time, leading to expensive, overwhelming, and often unnecessary data volumes. In Telemetry for Modern Apps, Mezmo teamed up with Checkly to demonstrate how synthetic monitoring triggers and responsive telemetry pipelines can help reduce costs while maintaining the context needed during incidents.
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Streamlining multi-cloud complexity with unified observability

A wave of businesses are embracing multi-cloud strategies to gain flexibility and scalability. By combining on-premises infrastructure, private clouds, and public platforms like AWS, Azure, and Google Cloud Platform (GCP), IT teams can experiment, deploy, transform, and improve their IT applications significantly. On the down side, this modern IT approach of employing multiple clouds (in both public and private forms) also brings significant complexity, making it challenging to monitor systems, control costs, and secure environments. There are just too many threads to track and tie together to ensure a taut IT fabric.

Will AI Speed Development in Your Legacy App?

Some people can get an AI assistant to write a day’s worth of useful code in ten minutes. Others among us can only watch it crank out hundreds of lines of crap that never works. What’s the difference? There are some skills specific to AI development. There are also properties of the codebase we’re working in that make it amenable to AI assistance. Most AI demos use projects created from scratch with AI in mind—cute.

I built an MCP Server for Observability. This is my Unhyped Take

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.

Cloud or Self-Hosted - Which Deployment Model is Right For You?

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.

Honeycomb Named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms

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.

Honeycomb In Your IDE? Yes, With Hosted MCP Now Available in AWS Marketplace AI Agents and Tools Category

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?

ITRS named in 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.

ScienceLogic Named a Visionary in the 2025 Gartner Magic Quadrant for Observability Platforms

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.

Kubernetes Monitoring backend 2.2: better cluster observability through new alert and recording rules

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.