Operations | Monitoring | ITSM | DevOps | Cloud

We’re excited to announce step metrics – a new capability coming to Bitbucket Pipelines to help you better manage and optimise your CI/CD workflows. Ever wondered what’s happening under the hood during your pipeline runs? Step metrics provide a window into the resource usage of your build and service containers. More specifically, step metrics let you monitor CPU and memory usage for each build and service container in your pipeline steps.

The Windows Certificate Store is a critical component of any modern Windows environment. Certificates enable TLS encryption for Internet Information Services (IIS)-hosted applications, support certificate-based authentication in Active Directory, and help validate the identity of trusted Windows services. But if a certificate in your store expires, is revoked, or is part of a broken certificate chain, you risk instability and security gaps in your Windows environment.

Modern cloud environments are highly complex and dynamic, with critical services relying on large numbers of ephemeral resources. Ensuring observability coverage across this landscape is essential for troubleshooting, maintaining reliability, optimizing performance, and enforcing security standards. But as environments grow more elaborate and their ownership more dispersed, tracking observability coverage becomes increasingly challenging.

Picture this: Your dashboards are calm. CPU load is steady. Error rates are low. Everything looks fine. That is, until the alarms go off. Now what? Metrics tell you something’s wrong, but not what, where, or why. They reveal symptoms, not root causes, and in high-stakes environments, that’s only half the story. Say your API response times spike. Metrics raise the flag, but they don’t tell you if it’s a code deployment, a database hang, or a traffic surge.

At Grafana Labs, we believe that effective alerting is the cornerstone of any robust observability strategy. That’s why we’re constantly listening to your feedback and working to improve the Grafana user experience so it’s easier for you to manage and interact with your alert rules. Today, we’ve excited to tell you about an update in Grafana Alerting that’s built to address some of your biggest pain points.

Elasticsearch is a distributed search and analytics engine that powers everything from log management platforms to e-commerce search bars. It excels at indexing and retrieving large volumes of data quickly, but like any complex system it can slow down under heavy load or inefficient queries.

As organizations modernize, most applications don’t fit neatly into one category—they span both traditional three-tier architectures and cloud-native microservices. To monitor these hybrid environments effectively, teams need APM tools that can seamlessly connect the two worlds.

Industrial data strategy often feels like a choice: keep legacy systems or replace them outright. But neither extreme is ideal. Full replacements are disruptive and costly, while avoiding change leaves businesses stuck with tools that limit growth. The better path is incremental. Each organization has different needs, and modernization works best when you build on proven systems while adding new capabilities.

In 2025, microservices are everywhere and Kubernetes is the de facto standard for operating cloud native applications. But not all apps are built in microservices architectures. For most enterprises, hybrid environments are the reality, with their business run on a mix of three-tier and cloud native applications.