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Let's talk about monitoring.

section.io (https://www.section.io/) is building a new approach to a Content Delivery Network. Jason Stangroome, Principal Engineer, will share with us how they tackle operational visibility in a sophisticated, containerised environment.

Next up, Grant Engelbrecht from Dynatrace (https://dynatrace.com/) will reexamine how companies do metrics-driven DevOps. Grant will present use cases for troubleshooting rapid deployments, identifying the key technical metrics that reveal the root cause. Learn how to use these metrics to build code and deploy faster, without failing faster.

See you there!

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Building a Monitoring Solution for You and Your Customers

The team at section.io (https://www.section.io/) is building a new approach to a Content Delivery Network. Jason will talk about how they are tackling operational visibility for the CDN itself -- with tools including Elastic, Docker, and Umpire -- and how they're also providing the data that their customers need to operate their own websites that are leveraging the CDN.

Presenter

Jason has been working in development, operations, and release engineering across platforms and technology stacks for many years, and he regularly presents at various meetups. He has been with section.io (https://www.section.io/) for the last two years, focusing on website performance and security, as Principal Engineer and VP of Information Security.

Connect with Jason: LinkedIn (https://au.linkedin.com/in/jstangroome), Twitter (https://twitter.com/jstangroome)

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Metrics-Driven DevOps: Finding a Needle in a Containerised, Auto-Scalable Haystack -- Early

Becoming the next Uber is only possible when ideas can be brought to end users quickly. Some aspects of DevOps are perfect for this, though we know its success is dependent upon (surprise!) development and operations working closely together. What does this mean for developers? Delivering code faster with much higher risk? And for Ops? Finding a needle in a highly containerised haystack. Surely there's a way to mitigate this risk.

Perhaps we need to rethink the metrics we've historically collected and begin the shift to Key Technical Metrics that better reflect the efficacy of this new way of working. When tracked at each workstation all the way through CI and into Ops, metrics such as memory usage per user or request, number of SQL queries, number of service calls, or transferred bytes (to name a few) can dramatically improve the speed and accuracy with which we develop. Let these metrics act as quality gateways and stop builds early before they crash your system: faster than ever.

In this session, we'll look at how companies apply metrics-driven DevOps. We look at use cases that crashed rapid deployments, identify metrics that revealed the reasons for the crash, and learn how to use these metrics to steer your pipeline to build better code and deploy faster, without failing faster.

Presenter

With a background in development, performance testing and application performance management, Grant assists organisations in identifying the real problems in their applications. At Dynatrace (https://www.dynatrace.com/), he has helped organisations test applications, better understand the technologies behind their apps, and improve application performance.

Connect with Grant: LinkedIn (https://au.linkedin.com/in/grant-engelbrecht-0a92062)

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Sponsors

Tank Stream Labs (http://tankstreamlabs.com/) is a co-working and entrepreneur community in the heart of Sydney.

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Schedule

18:00 — Refreshments

18:15 — Building a Monitoring Solution for You and Your Customers

18:45 — Who's Hiring

19:00 — Break

19:15 — Metrics-Driven DevOps

20:00 — End

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