Tag: Observability

Traditional monitoring approaches struggle in digital platforms and they do not collect the rich data contained in the logs. Observability, with OpenTelemetry, is the key to managing these platforms and it is based on the capture and analysis of three types of telemetry; metrics, traces and logs.

Get insights from a recent roundtable discussion in collaboration with CIO magazine. The talk focused on the dual challenge faced by IT and security managers: mitigating risks associated with AI while leveraging AI to enhance organizational capability.

In this third post of a series devoted to modeling DevOps data into a common set of mappings, Splunker Jeremy Hicks explores the Software Pipelines and their commonalities across the Software Development Life Cycle (SDLC).

Learn how to get complete visibility of your services with Splunk Observability Cloud.

Finding the source of a problem when something goes wrong shouldn’t derail your entire week – learn how to quickly and confidently troubleshoot in the cloud with Splunk Observability Cloud.

Observability first emerged as a focal point of interest in the DevOps community in the 2017 time-frame. Aware that business was demanding highly adaptable digital environments, DevOps professionals realised that high adaptability required a new approach to IT architecture.

In this blog, we will take a look into why modern digital platforms drove this need for OTel and how combining this with Splunk’s o11y platform solves the key challenges of managing these platforms today.

Embrace data models for code and bring order to the chaos.

Observability has been tied up with causality from its origins in the mathematical realm of control theory in the early 1960s. But what precisely does the term ‘causality’ denote? In how does correlation come into play when it comes to observability? Read on to find out more.