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Big Data Analytics for TechOps & DevOps - ML for IT Operations Analytics

Agile applications are being delivered increasingly across Multi-Cloud environments. Ensuring availability, reliability, performance, and security of applications in these environments, poses an enormous challenge for IT. Rapid adoption of DevOps along with the mainstream TechOps, i.e. the notion of Bi-Modal IT, adds substantially to these challenges.

Traditional siloe’d tools used for monitoring, diagnostics and troubleshooting have not been able to keep pace with these rapid changes and the onset of big data. Old IT practices involving lots of time consuming manual steps, multi-minute sampling, static rules and ad-hoc processes, are inadequate to deal with the challenges at hand. New approaches and products are required that are able to ingest and analyze high velocity and volume of machine data from these Multi-Cloud environments. IT operations analytics that can handle web-scale and that is intelligent, automated, and self-learning will lead this transformation. 

In this session, we will discuss specifics of the evolving landscape, key use cases and challenges faced by TechOps and DevOps environments today. We will also discuss approaches we have taken and the learnings we have gathered at Perspica team to address some of these key challenges.

Presenter bio:

Akhil Sahai, Ph.D, VP, Product Management, Perspica

Akhil is an accomplished management and technology leader with 20+ years of experience at large enterprises and at startups. Akhil comes to Perspica from HP Enterprise group where as Sr. Director of Product Management, he envisaged, planned and managed the Solutions Program. Prior to that, he enabled acquisition of CloudWeaver as VP, Product Strategy and Management. At Dell, as Director of Products, Akhil led Product Strategy and Management of Dell’s Converged Infrastructure product line. He also led Gale Technologies, as VP of Products to its successful acquisition by Dell. At Cisco he undertook business development for VCE Coalition, and at VMware, he managed global product strategy and management for vCloud Software with focus on applications, and Virtual Appliances product line.

He has published 80+ peer-reviewed articles, authored a book, edited another, and chaired multiple International IEEE/IFIP Conferences. He has filed 20 technology Patents (with 16 granted). He has a Ph.D from INRIA France and an MBA from Wharton School.

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  • Avina

    could you please post slides/video of the meetup? Thanks.

    February 27

  • Vaibhav K.

    Thanks for a wonderful presentation today. It would be great if we could post the slides used in presentation for our reference.

    2 · February 24

  • William L.

    I took the 3-minute survey, and it's been 25+ minutes. Where is the promised $10 Amazon gift card? Thanks.

    February 25

    • William L.

      I received the Amazon gift card this morning. Thanks.

      1 · February 26

    • Vani C.

      Thanks William for taking the survey.

      February 26

  • Savita K.

    Please share slides and recording. Had to miss because of illness.

    February 24

    • Vani C.

      We will share slides with you soon. Hope you feel better soon and see you in next meetup on 3/24.

      February 25

    • Vani C.

      Please message me your email id and I will send you the slides.

      February 26

  • michael j.

    $5600/min..cost of an outage!

    1 · February 24

  • Vani C.

    We are excited to meet all The CloudBlazers today at 6pm. Please tweet @TheFabricNet and share pictures. Looking forward to a great discussion on ITOA

    February 24

  • Prem T.

    Looking forward to meeting so many CloudBlazers the evening. Find out how ITOA (IT operational analytics) = Perspica Instant Diagnostics

    1 · February 24

  • Prem T.

    Is Perspica Instant Diagnostics, based on machine learning, is way to reduce MTTR? Learn more at this meetup.

    1 · February 2, 2016

  • Vani C.

    Learn more about Perspica Networks via http://www.perspicanetworks.com

    1 · February 1, 2016

  • Prem T.

    Find out how Machine learning + crowd sourced root cause analysis (RCA) can reduce mean-time-to-resolution (MTTR) of incidents in a dynamic environment of a virtual data center.

    2 · February 1, 2016

  • Prem T.

    Rapid change, in the virtualized infrastructure, is the new normal. Share your thoughts on where the current tools for TechOps are inadequate and why?

    Let's ask Akhil Sahai how he can reduce the complexity of managing such dynamic conditions.

    January 23, 2016

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