Histograms help you monitor and visualize the distribution of values for key metrics, such as response times or request sizes of a service. They’re frequently used to gain insights into data patterns, anomalies, and trends, making them an important tool for observability.

Jenkins is an open-source automation server widely used for continuous integration and continuous delivery (CI/CD), enabling developers to automate the building, testing, and deployment of software projects. Jenkins requires a good layer of visualization as it provides real-time visibility into pipeline performance, build statuses, test results, and deployment progress.

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.

Most of the time the build and deployment pipelines we create will run on compute provided by the Azure DevOps cloud and the only decision we need to make is whether to select a Windows or Linux Agent. Sometimes though, the specification for the VM that Azure DevOps spins up may not be right for our needs. We may need more memory or a particular OS version. This is when custom agents and Agent Pools come into play.

Even if you don’t work with Prometheus day-to-day, you most likely have heard of it. After Kubernetes was donated to the Cloud Native Computing Foundation (CNCF), Prometheus became the second project to be incubated soon after. That was back in 2016 and it is still one of the most active CNCF projects. Why is it so popular? It’s the de facto monitoring tool for containerized workloads running on-prem and in the cloud – that is, it’s the monitoring tool for Kubernetes.