IT teams live in dynamic environments and continuous integration/continuous delivery has been on high demand. In the dynamic environment, DevOps and underlying technologies such as containers and microservices, continue to grow more dynamic, and complex. Now, just like DevOps, observability has become a part of the software development life cycle.

First things first. Observability is inherent as a principle to a system and not something that is instilled. Here, we are addressing observability as an open source based solution in the context of insightful monitoring within the ITOM landscape. ITOM is now in the middle of addressing the needs of the expanding and dynamic nature of IT infrastructure as a function. It is no longer about being a monolithic computing stack. It is now beyond monitoring discrete infrastructure elements.

Are your current expensive, traditional or legacy monitoring tool implementations holding you back? It may be time to look into Observability architectures.

CloudFabrix is enhancing its AIOps platform with native Observability and AI at the edge capabilities to bridge the gap between Observability and AIOps solutions. Enterprises are struggling with unifying multitude of expensive monitoring deployments as well as gaps in observability, specifically for modern application architectures that include usage of microservices, containers and Kubernetes.

Observability has recently become quite the buzzword, populating headlines in DevOps and IT publications. Industry experts like Charity Majors, CTO and co-founder of Honeycomb, and Cindy Sridharan, to name a few, have been spreading the word about the importance of observability, making it clear that it’s more than just a passing trend, it’s an approach that DevOps organizations need to adopt.