4–7 Nov 2019
Schedule: Sponsored sessions
13:30–17:00 Tuesday, 5 November 2019
Location: Hall A6
Jesus Climent explores the key concepts behind microservices. With his guidance, you'll work through a problem and apply these concepts to evaluate and build systems of your own. Read more.
9:30–9:40 Wednesday, 6 November 2019
Location: Hall A7/A8
Karthik Gaekwad (Oracle Cloud Infrastructure )
Karthik Gaekwad explores why the Oracle Container Engine for Kubernetes (OKE) is one of Oracle Cloud's most popular platforms. You'll learn the good and some ugly lessons learned along the way on how to manage, operate, and scale Kubernetes at a cloud provider scale. Read more.
11:35–12:15 Wednesday, 6 November 2019
Jesse Butler (Oracle)
Learn from the systems analysts of yore and how their practices apply to today's cloud native stack. Jesse Butler gleans some powerful ideas from the past to enhance your observability, resilience, and security in the cloud. Read more.
13:25–14:05 Wednesday, 6 November 2019
The observability graph: Knowledge graphs for automated infrastructure observability (sponsored by Datadog)
Homin Lee (Datadog)
Homin Lee details constructing and using knowledge graphs to help DevOps teams make sense of the overwhelming volume of metric, log, trace, and event data generated by today's observability systems. Read more.
14:20–15:00 Wednesday, 6 November 2019
Priyanka Sharma (GitLab)
If you're interested in learning a framework of reference to enable continuous deployment to Kubernetes for business-critical production applications, join in. Priyanka Sharma bridges the gap between how to make large-scale migrations of production applications and the nitty gritty details that engineering managers and leaders need to consider. Read more.
15:50–16:30 Wednesday, 6 November 2019
Baruch Sadogursky (JFrog)
Baruch Sadogursky analyzes real-world software update fails and how multiple DevOps patterns that fit a variety of scenarios could have saved the developers. Manually making sure that everything works before sending an update and expecting the user to do acceptance tests before they update is most definitely not on the list of such patterns. Read more.
11:35–12:15 Thursday, 7 November 2019
Ho Ming Li (Gremlin)
Ho-Ming Li outlines how to use chaos engineering to accelerate your understanding of how your network can break (packet loss, black hole attacks, latency injection, and packet corruption) and impact your services. Read more.
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