Operations | Monitoring | ITSM | DevOps | Cloud

In today’s complex distributed systems, observability has evolved from a nice-to-have feature to a mission-critical engineering discipline. Engineering teams across organizations depend on robust observability to maintain system reliability and quickly diagnose issues when they inevitably arise. However, current observability tooling significantly lags behind user expectations by failing to support a critical capability: querying across different telemetry signals.

PagerDuty is committed to redefining what digital operations look like in the era of AI and automation. This vision drives us to continuously innovate and enhance the PagerDuty Operations Cloud, ensuring every update brings our customers closer to achieving operational excellence. Building on the momentum of our Spring product launch at PagerDuty On Tour, we’re excited to showcase what we’ve shipped this quarter.

Test failures are inevitable. A broken condition, a missed edge case, or a last-minute refactor can trip up even the most careful changes. That’s part of shipping software. What shouldn’t be part of the job is spending half your afternoon parsing logs and chasing down the root cause. Now, there’s a faster way. This guide shows how to use the CircleCI MCP server to identify, understand, and resolve failing tests in a CI/CD build without ever leaving your editor.

Deploying Large Language Model (LLM) applications can transform ideas into valuable services. But, deployment challenges can slow down even experienced developers. In this tutorial, you will build and deploy a LangChain application using LangServe and CircleCI on Google Cloud Run. You will create a text summarization tool powered by Google’s Gemini model. You will use Langserve to expose it as an API. You will automate testing and deployment to Google Cloud Run using CircleCI.

We continue to evolve Grafana Cloud Synthetic Monitoring to help you simulate even the most complex transactions and user journeys, and proactively monitor the performance of your web applications and APIs. In line with this effort, we’re excited to share that k6 browser checks in Synthetic Monitoring are now generally available.

We’re thrilled to announce our partnership with Nutanix, integrating Densify’s AI-powered Kubernetes optimization solution, Kubex, with the Nutanix Kubernetes Platform (NKP). This collaboration brings together two leading technologies to radically improve how enterprise Kubernetes environments are managed—through AI-driven insights and end-to-end automation of resource optimization.

As an IT professional, you know that Microsoft Teams is only as good as the network it runs on. Poor call quality (choppy audio, frozen video, or sudden disconnections) can disrupt productivity and frustrate users. But how do you pinpoint the root cause? The answer lies in monitoring Microsoft Teams performance metrics.