Tag: Observability

Distributed tracing has become popular in recent times as the preferred way to troubleshoot complex problems in diverse, microservice-based applications. And for good reason: distributed traces give DevOps teams end-to-end visibility into user requests (transactions), helping elevate user experience and future-proof applications.

If making dashboards or detectors is a great way to protect and understand your stack, imagine if you didn’t have to make them and they just popped into existence.

As part of our ongoing collaboration with Atlassian to make Splunk Infrastructure Monitoring the best monitoring and observability platform for Atlassian users, we are pleased to announce today that we are bringing another integration to market, this time with Jira Software. Building on our existing Opsgenie integration that routes...

Splunk's Tim Tully and Spiros Xanthos discuss why open source is the future of software, and OpenTelemetry is the future of observability.

Learn how you can monitor the performance of containerized deployments on AWS Bottlerocket with Splunk.

Deployment of machine learning models to production needs monitoring of operations and performance. This is where Machine Learning Operations (MLOps) comes into play. Find out what it is and how it works in this article.

Discover how organizations can correlate data across their entire toolchain and build a value stream that crosses silos for resilience, stability, and continuous improvement.

Splunker Bill Emmett shares a closer look into the brand new DevOps track at .conf20.

Where Graphite has limitations in scale, maintenance, ease of use, flexibility, alerting, and cost, Splunk Infrastructure Monitoring was built specifically for today's distributed, elastic environments.