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.
To Learn More: https://sched.co/GrVb
Join us for KubeCon + CloudNativeCon in Shanghai June 24 - 26, and San Diego November 18 - 21! Learn more at https://kubecon.io. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects.
Join us for KubeCon + CloudNativeCon in San Diego November 18 - 21. Learn more at https://bit.ly/2XTN3ho. The conference features presentations from developers and end users of Kubernetes, Prometheus, Envoy and all of the other CNCF-hosted projects.
Lightning Talk: PID Autoscaling Strava's Linkerd Service Mesh Using Prometheus Data - J Evans kube context | |
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| Film & Animation | Upload TimePublished on 15 Dec 2018 |
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