Tag: Observability

Splunker Paul Agbabian shares what's new in the Open Cybersecurity Schema Framework (OCSF) and how profiles can augment the natural structure of event classes and categories.

Splunk’s observability strategy has always put AI functionality at the centre. We have always recognised that, in order to make actionable sense of full fidelity data metric, event, log, and trace data streams, human cognition requires an automated assist which is precisely what AI brings to the table. As a result, throughout our observability portfolio, customers will find a variety of machine learning and pattern discovery algorithms being put to work, separating signals from noise, surfacing patterns of correlation, diagnosing root causes, and enabling remedial responses to incidents. AI, itself, is, of course, evolving at a rapid clip and with AI Assist, Splunk adds Generative or linguistic AI functionality to the mix. But what is linguistic AI and how does it relate to the non-linguistic or Foundational AI that Splunk has deployed in its products to date?

Application Performance Monitoring (APM) as a discipline and as a collection of supporting technologies has evolved rapidly since a distinct recognisable market for APM products first emerged in the 2007 - 2008 time frame. While there are many who would argue that APM has mutated into or been replaced by Observability, it makes more sense to see APM as one of many possible use cases now able to exploit the functionalities that Observability brings to the table - particularly when combined with AI.

We’re excited to announce that we are committing to extend the availability of Splunk Observability Cloud to AWS London (eu-west-2) and AWS Frankfurt (eu-central-1) regions starting August 2024.

Leveraging custom metrics and having complete control into how all metrics are collected and are sent into your O11y platform, is key to managing the complex modern platforms of today (and those of tomorrow!). Read more on the blog.

We have all been there. When you are trying to buy a ticket and the app crashes or loads the next web page when booking a holiday only to find it takes forever and appears to hang. Our frustration level increases and if it continues, we will exit and go elsewhere. With banking apps though, we won’t move straight away but repeated bad experiences here will be remembered and eventually will make us move.

Let's take a look at the general relationship between Observability and ML and how ML can aid in the conversion of raw telemetry into genuine signals of events or state changes.

Discover how to create a Custom Detector and explore first-hand how the right customizations can turn an alert storm into meaningful insights with Splunk Observability Cloud.

Splunker Koray Harman highlights alerting scenarios to avoid and explores some of the ways to create and customize alerts in Splunk Observability Cloud to go from noise to action and improve your MTTx.