It’s just been a few months since IBM acquired Instana, but we’ve been working hard to make the world of AIOps and Observability a better place. Recently, the two sides of the equation became a little bit closer with the release of some new integration points. Instana and IBM have integrated Instana’s industry leading Enterprise Observability Platform for cloud-native microservice applications with IBM Watson AIOps. This combination provides a powerful predictive analytics platform for incident event management in cloud operations and DevOps.
What is Enterprise Observability?
Instana’s Enterprise Observability Platform discovers and maps all applications, services, infrastructures, events, and their interdependencies automatically. Instana ingests all observability metrics, traces each request, profiles every process, and updates application dependency maps in real time to deliver context and actionable root cause analysis and feedback. Instana never uses sampling or partial traces. Instana Analytics enhancements optimize application performance, enable innovation, and mitigate risk to help DevOps add value and efficiency to the pipeline.
What Is Watson AIOps?
It’s a natural fit between Intana’s Enterprise Observablity Platform and Watson AIOps, specifically the IBM Cloud Pak for Watson AIOps. According to the IBM web site…
IBM Cloud Pak for Watson AIOps is an AIOps solution that
deploys advanced, explainable AI
across the ITOps toolchain so you can
confidently assess, diagnose and resolve incidents across mission-critical workloads.
Observability and AIOps – Together at Last
The Enterprise Observability Platform provides rich incident event data for Watson AIOps to enable an end-to-end solution for correlating, analyzing, and responding to application and infrastructure events. Watson AIOps enriches incident root-cause analysis performed by Instana with additional context. It incorporates data from other structured and unstructured sources including other events, tickets, chats, and runbooks to generate predictive actions or to automatically remediate incidents with procedures contained in Watson AIOps runbooks.
According to a survey by the AIOps Exchange, 45% of businesses are using AIOps for better root cause analysis and to help predict potential problems. The Enterprise Observability and Watson AIOps integration brings together unique capabilities and a value proposition currently unmet on the market:
- Instana performs enriched root-cause analysis of incidents — with additional context from Watson AIOps, including data from other structured and unstructured sources such as events, tickets, chats, and runbooks.
- Watson AIOps performs automatic remediation via runbooks — of incidents detected by Instana
- Watson AIOps ChatOps coordinates remediation — of incidents detected by Instana
Modern application architectures, especially Cloud-Native Applications, can have more difficult problems to solve due to a lack of visibility into application, service, and infrastructure — leading to siloed teams, tools, and processes. A data explosion has made life more difficult for ITOps teams when it comes to managing their stack using manual methods. Meanwhile, complexity up and down the application stack has stretched the ability of Dev+Ops teams to understand their data and respond quickly.
Instana’s Enterprise Observability Platform combined with IBM Watson AIOps solves these problems by detecting incidents and identifying the root-cause automatically, which is then enriched with additional contextual data by Watson AIOps. Watson AIOps either predicts a remediation suggestion and/or runs a predefined runbook to resolve the problem automatically. It enables application teams to decrease MTTR, reduce level of effort and costs, more adroitly meet reliability objectives, and improve and streamline collaboration and resolution of incidents.
Try Enterprise Observability for Yourself
Don’t give in to manual operations anymore. Get a feel for what Instana can do for you with our unique Observability Sandbox. Or if you’re flat out ready, just sign up for your own 2-week free trial with unlimited users and monitoring.