Operations | Monitoring | ITSM | DevOps | Cloud

Behind every incident is a team working to make things right. Get to know some of the engineers who worked behind the scenes to help resolve the August 28th Kafka service disruption.

When enterprises run dozens of monitoring and observability tools, performance gaps almost always emerge. By applying the BigPanda Observability Scorecard, our customers consistently see their tool portfolio fall into three groups: In some cases, removing bottom-tier tools can reduce portfolio complexity by double digits while cutting operational noise by as much as 35-40%. This simplification reduces costs while creating a leaner, more reliable monitoring environment that strengthens service availability and operational efficiency.

Choosing the right observability tools is critical so ensure your teams get actionable insights. In this video, we explore how to evaluate observability platforms based on their ability to detect anomalies, link causes, and trigger effective responses.

Modern digital services rely on complex systems, and chaos can strike at any layer. But the most effective teams don’t wait for failure to learn. They simulate it. By introducing controlled performance degradations, you can stress your systems, test your dependencies, and uncover hidden risks without touching production. In our latest webinar, Catchpoint experts walk through how teams are building resilience through proactive, safe failure testing, and why it’s become a cornerstone of digital reliability.