Operations | Monitoring | ITSM | DevOps | Cloud

Datadog has made a name for itself as a popular cloud-native application performance monitoring tool, measuring a system’s health and status based on the telemetry data it generates. This telemetry includes machine-generated data, such as logs, metrics and traces. Cloud based applications and infrastructure generate millions (even billions) of logs – and analyzing them can generate a wealth of insights for DevOps, security, product teams and more.

Developing a strategy for collecting application-level logs necessitates stepping back and looking at the big picture. Engineers developing the applications may only see logging at its ground level: the code that writes the event to the log—for example a function that captures Warning: An interesting event has occurred! But where does that message go from there? What path does it travel to get to its destination?

Splunk is honored to be the recipient of a series of six new awards from TrustRadius—all based on customer reviews. In this round, TrustRadius grants its “Best of” Awards to the top three products per Best Feature Set, Best Value for Price and Best Relationship in each respective category.

ICYMI, this year’s Monitorama marks a return to the in-person event following a pandemic hiatus. In Part 1 of this series, I shared what it was like to navigate a tech conference in the post-pandemic world and the most engaging themes of the conference including tracing, SLIs, OpenTelemetry, and more. Now for Part 2, let’s dive into the talks. As usual the Monitorama talk selection team did a bang-up job. Every talk was interesting, but a few jumped out at me for some very specific reasons.

How much does monitoring and observability actually cost us? We all collect logs, metrics, traces, and possibly other telemetry data. Yet, this can get expensive pretty quickly, especially in today’s microservices-based systems.

The Apache Tomcat is an open-source implementation of the Jakarta Servlet, Jakarta Server Pages, Jakarta Expression Language, Jakarta WebSocket, Jakarta Annotations and Jakarta Authentication specifications, all being a part of the Jakarta EE Platform. That is the official description of Apache Tomcat.

The Splunk Operator for Kubernetes team is extremely pleased to announce the release of version 2.0! This represents the culmination of many months of work by our team and continues to deliver on our commitment to provide a high-quality experience for our customers wishing to deploy Splunk on the Kubernetes platform.

Observable and secure platforms use three connected data sets: logs, metrics, and traces. Platforms can link these data to alerting systems to notify system administrators when an event requires intervention. There are nuances to setting up these alerts so the system is kept healthy and the system administrators are not chasing false positive alerts.