AIOps is the use of machine learning (ML) and artificial intelligence (AI) to automate operations so that your IT operations staff can operate at the speed that your business currently requires. Big data and machine learning are combined in AIOps to produce predictive results that speed up mean time to repair and root-cause analysis (RCA) (MTTR). Your ITOps may continuously improve by offering insightful, useful insights that promote a better degree of automation and collaboration, saving your company time and resources in the process.
AIOps is the practise of using artificial intelligence (AI) and associated technologies, such as machine learning and natural language processing (NLP), to routine IT operations duties. AIOps supports IT Ops, DevOps, and SRE teams in working smarter and faster so they can identify digital-service issues earlier and address them quickly, preventing disruptions to business operations and customers. This is accomplished through algorithmic analysis of IT data and Observability telemetry. With AIOps, operations teams can control the enormous complexity and volume of data produced by their contemporary IT infrastructures, preventing outages, preserving uptime, and achieving continuous service assurance.In order to reduce noise in contemporary performance and fault management systems and to drive automation with the ultimate goal of reducing time to resolution, AIOps develops real-time solutions in the form of context-rich data lakes that traverse the whole application stack.
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