Ein Rundflug durch das Kubernetes Ökosystem

Transcript

1. 1 EIN RUNDFLUG DURCH DAS KUBERNETES ÖKOSYSTEM Entwicklertag Karlsruhe 2017

   Nicolas Byl, codecentric AG
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3. 2 . 1 3 . 1 KUBERNETES

4. "Kubernetes is an open-source platform for automating deployment, scaling, and

   operations of application containers across clusters of hosts, providing container- centric infrastructure."

5. 3 . 2 portable: public, private, hybrid, multi-cloud extensible: modular,

   pluggable, hookable, composable self-healing: auto-placement, auto-restart, auto- replication, auto-scaling

6. 3 . 3

7. 3 . 4 3 . 5 Pods & Co.

8. 3 . 6 Pods

9. 3 . 7 Replication Controller  P P P

10. 3 . 8 Deployment combination of pod & replication controller

    edited as a unit

11. apiVersion: extensions/v1beta1 kind: Deployment metadata: name: frontend spec: replicas: 3

    template: metadata: labels: app: guestbook tier: frontend spec: containers: - name: php-redis image: gcr.io/google-samples/gb-frontend:v4 resources: requests:

12. 3 . 9 3 . 10 Services

13. 3 . 11 endpoint for a set of pods an

    external endpoint can be resolved using DNS environment variables
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15. 3 . 12 4 . 1 DEIS WORKFLOW

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17. 4 . 2 4 . 3 Workflow

18. 4 . 4 Architecture

19. 4 . 5 Application Structure

20. 4 . 6 Application Access Application is reachable at <application>.

    <cluster-base>, e.g. logmon.apps.codecentric.de Deis Controller Interface is available at deis. <cluster-base>

21. 4 . 7 Scaling deis scale web=5 worker=2

22. 4 . 8 Updating Applications Deploy application New Pods will

    be rolled out using Kubernetes Rolling- Upgrade Feature

23. 5 . 1 HELM

24. 5 . 2 package manager installation description using charts dependency

    management for charts deployment history rollbacks

25. 5 . 3 Demo: Wordpress

26. 6 . 1 LOGGING

27. 6 . 2 components fluentd: unified data collector log routing

    multiple in- and output plugis elasticsearch: NoSQL datastore search and analysis kibana flexible analysis for elasticsearch data custom dashboards

28. 6 . 3 Demo: Kibana

29. 7 . 1 MONITORING

30. 7 . 2 monitoring of multi-dimensional time series data very

    powerful query language data ingestion via HTTP pull targets can be found using service discovery

31. pull metrics HDD / SSD Pushgateway Short-lived jobs Jobs /

    Exporters Storage Retrieval PromQL Prometheus Server Node Service Discovery find targets Prometheus Server Alertmanager push alerts Web UI Grafana API clients PagerDuty Email DNS Kubernetes Consul ... Custom integration notify ...

32. 7 . 3 7 . 4 Demo

33. 8 . 1 WRAPPING UP

34. 8 . 2 The End Copyright 2017