IBM Cloud Pak for AIOps

Cloud Pak for AIOps makes the job of an SRE (and application developer) easier and allows them to focus more on proactively avoiding incidents and providing automation.

Because developers are increasingly responsible for more of the application lifecycle thanks to modern DevOps best practices, teams must instrument their systems to be highly observable. The combination of Instana, Turbonomic, and IBM Cloud Pak for AIOps provides an end-to-end set of observability capabilities, making it possible to automate large parts of the incident-management process, reducing costs, and improving uptime and availability for your deployments.

Learn about the most common Ops – DevOps, DataOps, MLOps, and AIOps – and how they work together to helped enterprises better define processes, improve output quality, and operate faster.

In this article, we introduce closed-loop automation and the problems it helps solve. We also explore some of the major benefits and challenges of closed-loop automation. Then, you learn how using AI-driven automation can help teams automatically correct issues like network anomalies within the provisioned network infrastructure. Finally, you learn how to use Cloud Pak for AIOps to analyze data from across your runtime ecosystem, consuming metric, log, event, and topology data to correlate, predict, and address network issues before they impact the performance of your environment.

Importing operating system images using a newly developed capability in Cloud Pak for AIOps

Combine IBM Observability by Instana APM and Cloud Pak for AIOps to detect, alert, and manage incidents that affect SLOs and SLIs