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OpsRamp tells the AIOps Story - What Is AIOps and why is it growing. For more details, call: 1-833-OPS-RAMP.
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Blog 1: OpsRamp.com The AIOps Story - What Is AIOps and Why Is It Growing Digital transformation initiatives are driving new lines of revenues, and with that, massive volumes of operational and transactional data from new applications, devices, and websites. Enterprises are transitioning from rigid, on-premise architecture to more agile microservices and public cloud platforms. Change is inevitable, yet it has created significant pressures upon IT organizations. Monitoring and managing this data for business performance is no longer possible with manual effort. To tackle these challenges, enterprise IT teams are looking at artificial intelligence for IT operations or AIOps. Gartner defines AIOps platforms as “those which combine big data and machine learning functionality to support all primary IT operations functions through the scalable ingestion and analysis of the ever-increasing volume, variety and velocity of data generated by IT”. Why AIOps? IT operations data has exploded, creating a massive spike in event noise. ITOps teams are constantly flooded with incorrect alerts and false positives. They are drowned in alert storms and lose focus on business needs. This is where AIOps can make a massive difference. AIOps helps teams navigate these alert storms and escalate critical alerts to the right teams for remedial action. It helps detect patterns, identify anomalies, so that IT teams can make sense of alerts much faster. This thereby helps IT teams focus on the critical events that can affect business instead of getting lost with false alerts. Moreover, AIOps also gives actionable insights to IT teams by collecting data from various sources and analyzing that data. The Exponential Growth of AIOps AIOps is gaining popularity with enterprise IT teams and it is not surprising. OpsRamp’s latest survey on the State of AIOps told us that 87% of technology pros agree that AIOps tools are delivering value through proactive IT operations and improved hybrid infrastructure resilience. Gartner tells us that 40% of organizations will have implemented an AIOps platform to enhance performance monitoring by 2022. Though the adoption uptake is still slow today, self-healing IT operations management is no longer a speculative experiment but the wave of the future for efficiently and accurately managing modern IT operations.