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SkillsCast

A Hitchhikers Guide to Improving Observability in a Hybrid Universe

29th May 2019 in London at Business Design Centre

There are 52 other SkillsCasts available from µCon London 2019 - The Conference on Microservices, DDD & Software Architecture

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The goal of designing and building Observable systems is to make sure that when they run in production, developers and operators can detect undesirable behaviour and have actionable information to pin down root cause. As teams move more applications to Cloud the importance of having a Strategy of how to do this becomes ever more important.

This talk will provide practical steps on how to simply do this. It’ll provide you with the pillars which form the foundational platform for helping you better understand how your systems are performing.

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Thanks to our sponsors

A Hitchhikers Guide to Improving Observability in a Hybrid Universe

Alex Close

Alex is part of the Solutions Architect team at Elastic. He previously was at an Oxford University startup where he worked on building an automated machine learning platform which relied heavily on kubernetes & microservices.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

The goal of designing and building Observable systems is to make sure that when they run in production, developers and operators can detect undesirable behaviour and have actionable information to pin down root cause. As teams move more applications to Cloud the importance of having a Strategy of how to do this becomes ever more important.

This talk will provide practical steps on how to simply do this. It’ll provide you with the pillars which form the foundational platform for helping you better understand how your systems are performing.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

A Hitchhikers Guide to Improving Observability in a Hybrid Universe

Alex Close

Alex is part of the Solutions Architect team at Elastic. He previously was at an Oxford University startup where he worked on building an automated machine learning platform which relied heavily on kubernetes & microservices.

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