{"id":2296,"date":"2020-03-03T04:19:34","date_gmt":"2020-03-03T01:19:34","guid":{"rendered":"http:\/\/kusuaks7\/?p=1901"},"modified":"2024-01-02T14:07:57","modified_gmt":"2024-01-02T14:07:57","slug":"aiops-what-you-need-to-know","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/ai-ml\/aiops-what-you-need-to-know\/","title":{"rendered":"AIOps: What You Need To Know"},"content":{"rendered":"\t\t
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Digital Human Brain Covered with Networks GETTY<\/strong><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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\n\t\t\t\t\t\t\t\t\tAIOps, which is a term that was coined by Gartner in 2017, is increasingly becoming a critical part of next-generation IT.\u00a0\u201cIn a nutshell, AIOps is applying cognitive computing like AI and Machine learning techniques to improve IT operations,\u201d said Adnan Masood, who is the Chief Architect of AI & Machine Learning at\u00a0UST Global<\/a>.\u00a0\u201cThis is not to be confused with the entirely different discipline of MLOps, which focuses on the Machine learning operationalization pipeline. AIOps refers to the spectrum of AI capabilities used to address IT operations challenges\u2013for example, detecting outliers and anomalies in the operations data, identifying recurring issues, and applying self-identified solutions to proactively resolve the problem, such as by restarting the application pool, increasing storage or compute, or resetting the password for a locked-out user.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThe fact is that IT departments are often stretched and starved for resources.\u00a0Traditional tools have usually been rule-based and inflexible, which has made it difficult to deal with the flood of new technologies.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\u201cIT teams have adopted microservices, cloud providers, NoSQL databases, and various other engineering and architectural approaches to help support the demands their businesses are putting on them,\u201d said Shekhar Vemuri, who is the CTO of\u00a0Clairvoyant<\/a>.\u00a0\u201cBut in this rich, heterogeneous, distributed, complex world, it can be a challenge to stay on top of vast amounts of machine-generated data from all these monitoring, alerting and runtime systems. \u00a0It can get extremely difficult to understand the interactions between various systems and the impact they are having on cost, SLAs, outages etc.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tSo with AIOps, there is the potential for achieving scale and efficiencies. Such benefits can certainly move the needle for a company, especially as IT has become much more strategic.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\u201cFrom our perspective, AIOps equips IT organizations with the tools to innovate and remain competitive in their industries, effectively managing infrastructure and empowering insights across increasingly complex hybrid and multi-cloud environments,\u201d said Ross Ackerman, who is the\u00a0NetApp<\/a>\u00a0Director of Analytics and Transformation.\u00a0\u201cThis is accomplished through continuous risk assessments, predictive alerts, and automated case opening to help prevent problems before they occur. At NetApp, we\u2019re benefiting from a continuously growing data lake that was established over a decade ago. It was initially used for reactive actions, but with the introduction of more advanced AI and ML, it has evolved to offer predictive and prescriptive insights and guidance. Ultimately, our capabilities have allowed us to save customers over two million hours of lost productivity due to avoided downtime.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tAs with any new approach, though, AIOps does require much preparation, commitment and monitoring.\u00a0Let\u2019s face it, technologies like AI can be complex and finicky.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\u201cThe algorithms can take time to learn the environment, so organizations should seek out those AIOps solutions that also include auto-discovery and automated dependency mapping as these capabilities provide out-of-the-box benefits in terms of root-cause diagnosis, infrastructure visualization, and ensuring CMDBs are accurate and up-to-date,\u201d said Vijay Kurkal, who is the CEO of\u00a0Resolve<\/a>.\u00a0\u201cThese capabilities offer immediate value and instantaneous visibility into what\u2019s happening under the hood, with machine learning and AI providing increasing richness and insights over time.\u201d\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tAs a result, there should be a clear-cut framework when it comes to AIOps.\u00a0Here\u2019s what\u00a0Appen\u2019s<\/a>\u00a0Alyssa Simpson Rochwerger recommends (she is the VP of Data and AI):\u00a0<\/strong>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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