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KubeCon_Recap.pdf

 KubeCon_Recap.pdf

k.yanagimoto

January 23, 2019
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  1. KubeCon North America 2018 Recap Jan 23, 2019 Koichi Yanagimoto

    EC Incubation Development Department Rakuten, Inc.
  2. 6 Getting to Continuous Delivery For Your Cloud-Native Applications Keynote:

    Opening Remarks + CNCF Community Updates Keynote: Helm Update Keynote: Envoy Update Keynote: 5 Years of etcd: Past, Present, and Future Keynote: Kubernetes, Istio, Knative: The New Open Cloud Keynote: Charting a Path to Take Kubernetes to 100,000 Enterprises Keynote: Phippy Goes to the Zoo: A Kubernetes Story Day Two Kubernetes: Tools for Operability Linkerd 2.0, Now with Extra Prometheus Scale Your Service on What Matters: Autoscaling on Latency Intro: Knative Productivity BoF Kustomize: Deploy Your App with Template Free YAML A Basic Kubernetes Debugging Kit: curl, jq, openssl, and Other Best Friends Keynote: Welcome Remarks Keynote: Tales from the Kube: Contributions by the Community Keynote: CNCF Maintainer + Ambassador Awards Keynote: The Emerging Multicloud World Keynote: High Reliability Infrastructure Migrations Keynote: Open Source & Containers on AWS Keynote: Closing Remarks
  3. 7 Keynote: Welcome Remarks Keynote: Kubernetes Project Update Keynote: The

    Unification of Containers, Apps and Functions Keynote: Save Yourselves! Keynote: Developing Kubernetes Services at Airbnb Scale Keynote: Closing Remarks Building Container Images on Your Kubernetes Cluster with Knative Build So You Want to Run Vault in Kubernetes? Predictive Application Scaling with Prometheus and ML Monitor the World: Meaningful Metrics for Containerized Apps and Clusters Adopting Prometheus the Hard Way Evolution of Integration and Microservices with Service Mesh and Ballerina
  4. 8 Keynote: Welcome Remarks Keynote: Smooth Operator: Large Scale Automated

    Storage with Kubernetes Keynote: Kubernetes: Living Up to the Hype Keynote: Maturing Kubernetes Operators Keynote: Kubernetes and the Path to Serverless Keynote: Closing Remarks Understanding Microservices with Distributed Tracing Visualise Cluster Connectivity with Goldpinger; Smash it with PowerfulSeal Service Meshes: The Production Readiness Checklist for the Rest of Us Reducing Mean-Time-to-Detection of Incidents with an Envoy Service Mesh Is Istio the Most Next Gen Next Gen Firewall Ever Created? The Life of a Kubernetes Watch Event Attended 44 Sessions.
  5. 9 Keynotes • About CNCF projects • , , 4

    4 5 ( ( 5E4 5 • ) F G 0 EC E 8 • “K8S is Boring” • ( ( C EC 8 . E5 • ( ( C % EC 8 C 5 G • HC 4 5 5 8
  6. 12 Linkerd is a service mesh for Kubernetes and other

    frameworks. It makes running services easier and safer by giving you runtime debugging, observability, reliability, and security—all without requiring any changes to your code. https://linkerd.io/2/overview/
  7. 13 Istio makes it easy to create a network of

    deployed services with load balancing, service-to-service authentication, monitoring, and more, without any changes in service code. https://istio.io/docs/concepts/what-is-istio/
  8. 20 Distributed tracing, also called distributed request tracing, is a

    method used to profile and monitor applications, especially those built using a microservices architecture. Distributed tracing helps pinpoint where failures occur and what causes poor performance. https://opentracing.io
  9. 21 Understanding Microservices with Distributed Tracing - Lita Cho, Lyft

    https://kccna18.sched.com/event/GrXj/understanding-microservices-with-distributed-tracing-lita-cho-lyft • Don’t monkey-patch • Don’t want to Vendor Lock • Microservice Architecture Challenges
  10. 25 Links • KubeCon North America 2018 • II K

    I ? M :7I? = K I A 8 9 9 : 7I?K 9 I 7 ?97 • Schedule • II A99 7 9 : 9 • Youtube • II LLL I 8 9 7 ? I ? I 1. O / 1 8 6 - K 0 2 • CNCF • II LLL 9 9 ? 9 ?I A 8 9 9 : 7I?K 9 K I