Operations | Monitoring | ITSM | DevOps | Cloud

We are proud to announce that Elastic has been named a finalist by the Technology & Service Industry Association (TSIA) in the 2025 STAR Awards program for Innovation in Customer Portals that Improve Digital Customer Experience. This award recognizes Elastic’s ability to embrace AI innovations to enhance our digital customer experience.

In my last blog, I’ve discussed a common problem: metrics like mean time to resolution (MTTR) mean nothing to business leaders. Celebrating a faster fix for an outage that still cost the company thousands in lost sales is a conversation that goes nowhere. You might as well be speaking a different language.

In my conversations about managing large, complex networks, one topic is now constant. The issue isn't budgets or new technology; it's about personnel. Specifically, it's the increasing difficulty of finding and retaining skilled professionals. If you are feeling this pressure, you are not alone. The search for technical talent is a universal challenge.

Managed service providers (MSPs) are strong multitaskers, handling monitoring, documentation, security, infrastructure maintenance, support, and more for each of their clients. So clearly the need for a strong set of MSP tools is one that cannot be overlooked. In the current state of IT, clients expect swift response and seamless service delivery no matter the time of day, meaning, MSPs must invest in a toolkit that will enable them to deliver high-quality service 24/7.

Metrics are fundamental to experimentation for two reasons: They set the basis for evaluating ideas and interventions, and they can suggest where to look next. As such, many teams collect a wide variety of metrics, from application performance data to revenue trends. However, doing so often means manually knitting together data from multiple sources and formats. Even then, data silos can make it challenging to understand the full impact of experimental changes. In this post, we’ll explore.

Debugging JavaScript errors just got easier. Today, we're launching Session Replay for Rollbar, giving you visual context for every error with customizable triggers and the only open-source MCP integration that lets AI analyze your sessions directly in your IDE.

The network has transformed dramatically. Hybrid cloud architectures and AI-powered infrastructure seem to expand in scale and complexity every day. But legacy tools to monitor and observe these networks have not kept up.

From the beginning, PagerDuty has been built by developers, for developers. Our mission has always been to help development teams build faster and resolve incidents more efficiently by meeting them where they work. Building on PagerDuty’s existing plugin for Spotify for Backstage, we are thrilled to announce the PagerDuty plugin for Spotify Portal for Backstage to continue bringing enterprise-grade incident management into even more developer workflows.

There’s growing unease in the database world regarding delivering at speed, raising the question – just how do we keep up with the pace of change without losing control of the things that matter most? AI is rapidly transforming the mechanics of how code is written, reviewed, and optimized which in-turn, increases the risk of destabilization.