Ein Rundflug durch das Kubernetes Ökosystem

Transcript

1. 1 EIN RUNDFLUG DURCH DAS KUBERNETES ÖKOSYSTEM Entwicklertag Karlsruhe 2017 Nicolas Byl, codecentric AG
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
15. 3 . 12 4 . 1 DEIS WORKFLOW
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