Operations | Monitoring | ITSM | DevOps | Cloud

The best part of my job is talking with prospects and customers about their logging and data practices. I love to talk about everything they are currently doing and hope to accomplish so I can get a sense of overall goals and understand current pain points. It’s vital to come up with solutions that provide broad value across the enterprise and not just a narrow tactical win with limited impact.

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.

Organizations in every industry are becoming increasingly dependent upon data to drive more efficient business processes and a better user experience. As the data collection and preparation processes that support these initiatives grow more complex, the likelihood of failures, performance bottlenecks, and quality issues within data workflows also increases.

When new web browser versions are released, new bugs are inevitably introduced, which can degrade a website’s performance and increase the overall page load time. This can severely impact a user’s engagement and a business’s bottom line.

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.