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Seattle, WA
December 10–13, 2018
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Lightning Talk [clear filter]
Monday, December 10
 

6:35pm

Lightning Talk: How Fast Was My Database? - Josh Berkus, Red Hat
"I know my database will be slower on Kubernetes and cloud native storage, but HOW MUCH slower?"

This is a question everyone thinking of moving traditionally hosted stateful services like database to Kubernetes ask all the time. And until now, we haven't had good answers. This presentation will detail a series of microbenchmarks on PostgreSQL running on and off Kubernetes in a variety of configurations, including bare metal, local storage, gluster, and rook. You'll get a solid idea of what the cost in latency and throughput is for abstracting away your storage problems, and be able to make platform decisions for yourself.

Speakers
avatar for Josh Berkus

Josh Berkus

Community Lead at Red Hat, Red Hat
Josh Berkus is Red Hat's Kubernetes Community Manager, which is the reason he spends so much time working in SIG-Release and SIG-Contributor Experience. He's also a long-time database geek, and has done benchmarks for the TPC and SPEC. His real passion in the cloud native world is... Read More →


Monday December 10, 2018 6:35pm - 6:40pm
Ballroom 6A

6:50pm

Lightning Talk: PID Autoscaling Strava's Linkerd Service Mesh Using Prometheus Data - J Evans, Strava
Strava’s traffic fluctuates alongside our athletes’ weekly exercise habits. Our service infrastructure must dynamically scale to meet constantly changing demands efficiently and cost effectively. This is becoming increasingly important as we augment our ensemble of microservices to provide our community with a richer feature set. In this presentation, J Evans will describe how Strava leverages Linkerd, and its seamless integrations into open source monitoring tools, to maintain observability and enforce consistency throughout their service mesh. Specifically, he will demonstrate how Strava uses Prometheus to aggregate metrics at the control plane (Linkerd) and application layer to fine tune a proportional-integral-derivative (PID) auto scaling system capable of maintaining high resource utilization across the Strava platform.

Speakers
avatar for J Evans

J Evans

Infrastructure Engineer, Strava
At work, our team develops scalable infrastructure using best-in-class CNCF projects. We're a Ruby + Scala shop, powering a social sharing platform for athletes around the world to motivate and challenge one another.At home, I like reinventing wheels and doing things the hard way... Read More →



Monday December 10, 2018 6:50pm - 6:55pm
Ballroom 6A