What is AIOps ? AIOps explained with usecases and roadmap

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AIOps stands for Artificial Intelligence for IT Operations. Analyze, Anticipate and Avoid - The 3 A's of AIOps.
Whether you are choosing an enterprise, out of the box AIOps solution for your organization or building your own AIOps stack, The AIOps solution should fundamentally do three things - "Analyze, Anticipate and Avoid".

AIOps Usecases
- Root Cause Analysis
- Anomoly Detection (identify potential problematic events to avoid a disaster)
- Reduce the operation risks and time in the cloud migration

Advantages of AIOps
- Faster MTTR (mean time to repair)
- Reduce costly disruptions.
- Lower Operation Costs
- Prediction of potential disasters and mitigation
- Moving from reactive to proactive to predictive problem management.

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3A's of AIOps - Analyze, Anticipate and Avoid.

Loved the video ? Please support the video by sharing it with your DevOps and SRE friends. It will encourage me to make more such unique videos.

AbhishekVeeramalla
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I just want to appreciate your contribution to the tech community is insane !! Thank you :)

ravitrivedi
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Great to see People talking about AIOPS, lot of insights. thanks

graphpe
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With teachers like you, students would say: confidence is a choice!

MANISHKUMAR-ukhv
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Hi Abhishek, Thank you so much for explaining what exactly is the AIOps and its usecases very clearly, Kudos..Its really helpful for us if you make a realtime session on this Topic. Thank you once again.

VENKATESHWARMYADAM
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Great Video! Was just wondering what this is all about after seeing your 2025 roadmap video.

WorkstudyMode
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Thank You very much for the amazing content
like always

anilsaipinnelli
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wow!!! excellent !!! thankyou anna for this video!!!

aishwaryap.s.v.s
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Content from your YouTube channel is top notch sir, thank you so much for your lot of efforts to reach out to all people around the world❤

mallikarjuna
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Though i didn't go all the videos Kudos to you for your effort

DharmaRao-ql
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Started to watch video 110 views and completed the video 524 views great content and as always it's good to see u r videos

UnKnowNdpk
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Hi Abhishek, Thanks for the session.
I have one doubt, Dynatrace a observability tool which monitors the backend services.
Dynatrace is integrated with AI called DAVIS AI which forecasts the ISSUES and which gives the alerts also.
Do we need AIOPS again in this case?
Because we already pay lot of amount to Observability platform's again we need to spend more amount on AIPOS.

venkateshr
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Hi Abhishek, did you added sessions in your playlist about newrelic monitoring tool

kmuthyal
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Thanks for sharing. But in my opinion, the first case which to find out any package or dependence with vulnerabilities isn't have to be AI and the second case make sense.

PatrickPanYo
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Hi Abhishek,
Thanks for sharing this valuable information.

When can we expect the AIOPS series?

vijaysrinivasarepalli
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in 3A for me one A is abhishek for learning very good content

bhusaresomnath
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Willl this series continue with more concepts

saravananmad
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This things will do our monitoring tools right, way is the advantage for this, example data dog we can write the query based on the query we will get the alarm right

Googlepaynnn
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I have a doubt bro, Now we are using dynatrace tool for monitoring. Then we can see that it is also an AI app since it is also analyzing and sending alerts on logs. Please give me some clarity on it bro

sekharcivil
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Hi Abhishek,
I'm also going to switch my field from beckend engineer to Devops Engineer I also have 2 years of hands-on experience with c, c++ language, I'm confused too that will i consider as fresher, entry-level or mid-level
And the main thing is day by day new things are on the way so what is the best thing to choose, should we go for DevOps, MLops or AIOps ?

harshitbansal