The adoption of new business models by an enterprise due to digital transformation has increased the complexity of IT operations (ITOps). As a result, existing IT tools can no longer meet enterprise demands. The biggest challenges ITOps face today are:
- Poor user experience on applications across geographies
- Lack of effective event management and no proactive monitoring
- More manual intervention and efforts, and minimum automation
- Inability of component-level drill down across technology platforms for a quick problem and root cause analysis
- Lack of single-pane view of IT and business process metrics Organisations have now started leveraging artificial intelligence (AI) for IT operations (AIOps) with APM (application performance monitoring) and other data sources to gain insights that improve business outcomes.
AIOps is the use of artificial intelligence (AI) for IT operations to enhance, support and automate the latter. It covers the strategic use of AI, analytics, and machine learning (ML) technologies across IT operations to simplify and streamline processes and optimise the use of IT resources.
It can be considered as a platform consisting of AI and ML engines, Big Data capabilities, and servers covering storage, compliance, infrastructure, provisioning, and backup. The AIOps platform helps in:
This story is from the June 2023 edition of Open Source For You.
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This story is from the June 2023 edition of Open Source For You.
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