Operations | Monitoring | ITSM | DevOps | Cloud

Java has long been a foundational pillar in application development, its versatility and robustness serving as key drivers behind its widespread adoption. Since its inception, Java has evolved to meet the ever-changing demands of scalable deployments, offering a reliable platform for creating everything from web applications to complex, server-side systems.

Chasing shiny new toys, as always ;)

Today, we’re making it even easier to find and solve user-impacting issues with three new Sentry Performance features.

Mitigating business risk is a key enterprise priority. To avoid unnecessary exposure to the business, technical teams need a proactive approach to managing incidents. While this is a well-known challenge, it’s also much easier said than done. Over the years, many organizations have cobbled together their own bespoke processes for managing different types of incidents.

Reliability metrics in software development are metrics that help teams quantify how dependable and consistent their software systems are over time. By converting a wide range of technical properties into hard data, these provide quantifiable information to understand the probability of software running failure-free in a given environment over time. These metrics are a subset of developer-focused key performance indicators (KPIs), data that is gathered to emphasize developers' output.

Grafana Agent v0.40 is now available. You can take a look at the changelog for the full list of changes as well as our upgrade guide for breaking changes, but we’ve compiled some of the highlights in the latest Agent release below.

Docker has a storied history of being one of the most widely used developer toolings of all time. In the early days of containers, it was the only thing being used for local container development, and their contributions will be forever remembered as a major factor in the speed at which container technology was adopted. Docker also created a container orchestration platform called Docker Swarm.

An analyst’s process often involves searching through a given set of data many times, refining the question and analytics performed each time. Cribl Search was originally designed to be stateless – executing each search from the original dataset provider(s) with every execution. However, a new feature has been introduced to allow searching into previous cached results, accelerating the analyst process for certain types of iterative search development.