Microservices with containers in the cloud
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This document provides an overview of developing, building, deploying, and running microservices using containers in the cloud. It discusses microservices and containers, how to build Docker containers, deploy containers to Kubernetes clusters in the cloud (OKE, AKS, GKE), and build, deploy and test using serverless functions. It provides examples of defining microservices as Kubernetes applications, configuring pods, services, ingress, and automating builds and deployments. Serverless platforms like AWS Lambda, Azure Functions, OpenWhisk, Fn are also briefly introduced.
![Database
apiVersion: apps/v1beta2
kind: StatefulSet
metadata:
name: olympics-dsh-db
labels:
run: olympics-dsh-db
spec:
selector:
matchLabels:
run: olympics-dsh-db
serviceName: "olympics-dsh-db-svc"
replicas: 1
template:
metadata:
labels:
run: olympics-dsh-db
spec:
containers:
- image: eugeneflexagon/olympics-dsh-db:latest
volumeMounts:
- mountPath: /u01/app/oracle/oradata
name: dsh-db
name: olympics-dsh-db
ports:
- containerPort: 1521
apiVersion: v1
kind: Service
metadata:
name: olympics-dsh-db-svc
spec:
selector:
run: olympics-dsh-db
ports:
- port: 1521
targetPort: 1521
clusterIP: None
volumeClaimTemplates:
- metadata:
name: dsh-db
spec:
accessModes: [ "ReadWriteOnce" ]
resources:
requests:
storage: 100M](https://image.slidesharecdn.com/microserviceswithcontainersinthecloud-181031161324/85/Microservices-with-containers-in-the-cloud-28-320.jpg)
Microservices with containers in the cloud
- 1. Develop, Build, Deliver and Run Microservices with Containers in the Cloud Eugene Fedorenko
- 2. About me Eugene Fedorenko Senior Architect Flexagon adfpractice-fedor.blogspot.com @fisbudo
- 3. Agenda •Microservices •Containers •Docker •Build containers •Kubernetes •Deploy to the cloud •OKE/AKS/GKE •Serverless •Build, Deploy and Test with functions
- 4. Start
- 8. Environments challenge DEV TEST PROD
- 10. Container •A lightweight, stand-alone, executable package of a piece of software that includes everything needed to run it: code, runtime, system tools, system libraries, settings. •Containers share the host operating system rather than the hardware directly •Way more lightweight than a VM •Docker is the most popular implementation
- 12. Docker vs VM
- 14. Microservices •An architecture pattern decomposing vertically a monolith system into loosely coupled subsystems (microservices). Nothing more. The pattern doesn't dictate how it should be done technically. •Just to highlight it: Microservices and Containers are not the same and totally independent. You can use Docker with a monolith app, and you can have several microservices without using Docker at all.
- 15. Containers content UI • Alpine • Nginx 1.10.2 • Jet app – html, css, js Middleware • Ubuntu • Java 1.8.0_171 • Tomcat 8.5 • ADF libraries 12.2.1 • ADF BC app (war) Database • Oracle Linux • Oracle DB 11.2.0.2 XE • DB schema with dashboard tables
- 16. Build an image
- 17. FROM nginx:1.10.2-alpine COPY web /usr/share/nginx/html EXPOSE 80 Dockerfile
- 18. •Cloud based registry – Public (free) – Private •Centralized resource for container images •Docker CLI provides access to Docker Hub – docker search, pull, login, push Docker Hub
- 20. •Open Source platform (Google born) •Orchestration engine for Ops •A level of abstraction hiding the complexity of a hybrid environment (prem/cloud) •Configuration properties •Load balancing •Scalability •Security •Visibility Kubernetes
- 21. • Cluster. Set of physical or VMs. Masters and workers. • Node. Worker. Minion. A physical or virtual machine. Docker is installed on it. • Kubelet. Internal service running on each worker node and managed by a master node. Makes sure that everything works according to configuration files. Kubernetes Architecture
- 22. • Kubectl. Kubernetes CLI. • REST API. • Dashboard. Kubernetes Architecture
- 23. • Pod. Logical set of containers. A smallest deployable and scalable unit • Replica set. Defines how many instances of a pod should be alive • Deployment. Creates a Replica Set to bring up a desired number of Pods Kubernetes Architecture
- 24. • Service. Logical set of pods with a stable ip/access rules and name. Has a lightweight internal load balancer. • Internal, External Kubernetes Architecture
- 25. Microservice as a K8s application
- 26. Front End apiVersion: extensions/v1beta1 kind: Deployment metadata: name: olympics-dsh-fe labels: run: olympics-dsh-fe spec: replicas: 1 template: metadata: labels: run: olympics-dsh-fe spec: containers: - image: eugeneflexagon/olympics-dsh-fe:latest imagePullPolicy: Always name: olympics-dsh-fe ports: - containerPort: 80 protocol: TCP apiVersion: v1 kind: Service metadata: name: olympics-dsh-fe-svc spec: selector: run: olympics-dsh-fe ports: - port: 8088 targetPort: 80 type: ClusterIP
- 27. Middleware apiVersion: extensions/v1beta1 kind: Deployment metadata: name: olympics-dsh-mw labels: run: olympics-dsh-mw spec: replicas: 1 template: metadata: labels: run: olympics-dsh-mw spec: containers: - image: eugeneflexagon/olympics-dsh-mw:latest env: - name: OLYMPICS_DB_URL value: "jdbc:oracle:thin:@olympics-dsh-db-svc:1521:XE" name: olympics-dsh-mw ports: - containerPort: 8080 apiVersion: v1 kind: Service metadata: name: olympics-dsh-mw-svc spec: selector: run: olympics-dsh-mw ports: - port: 8088 targetPort: 8080 type: ClusterIP
- 28. Database apiVersion: apps/v1beta2 kind: StatefulSet metadata: name: olympics-dsh-db labels: run: olympics-dsh-db spec: selector: matchLabels: run: olympics-dsh-db serviceName: "olympics-dsh-db-svc" replicas: 1 template: metadata: labels: run: olympics-dsh-db spec: containers: - image: eugeneflexagon/olympics-dsh-db:latest volumeMounts: - mountPath: /u01/app/oracle/oradata name: dsh-db name: olympics-dsh-db ports: - containerPort: 1521 apiVersion: v1 kind: Service metadata: name: olympics-dsh-db-svc spec: selector: run: olympics-dsh-db ports: - port: 1521 targetPort: 1521 clusterIP: None volumeClaimTemplates: - metadata: name: dsh-db spec: accessModes: [ "ReadWriteOnce" ] resources: requests: storage: 100M
- 29. Pods communication <Resource name="jdbc/olympics-db-connDS" auth="Container" type="oracle.jdbc.pool.OracleDataSource" factory="oracle.jdbc.pool.OracleDataSourceFactory" url="${OLYMPICS_DB_URL}" ... spec: containers: - image: eugeneflexagon/olympics-dsh-mw env: - name: OLYMPICS_DB_URL value: "jdbc:oracle:thin:@olympics-dsh-db-svc:1521:XE" imagePullPolicy: Always name: olympics-dsh-mw
- 30. Ingress
- 31. Ingress apiVersion: extensions/v1beta1 kind: Ingress metadata: name: olympics-ing annotations: kubernetes.io/ingress.class: 'nginx' nginx.ingress.kubernetes.io/rewrite-target: / spec: tls: - secretName: tls-secret rules: - http: paths: - path: /javabackend-dsh backend: serviceName: olympics-dsh-mw-svc servicePort: 8088 - path: /olympics-dsh backend: serviceName: olympics-dsh-fe-svc servicePort: 8088
- 32. K8S clusters in the cloud
- 33. Kubectl •K8s command line tool •Configured with “config” file – $HOME/.kube/config •Can be configured for multiple clusters (contexts) •Configuration is provider specific kubectl config use-context aws kubectl apply -f olympics-fe.yaml
- 34. Build & Deploy automation
- 35. Build & Deploy automation
- 36. Workflows as Function Flows
- 37. Serverless • A unit of work consumes resources only when it is used – Function is a unit of work • stateless • serves one goal • arguments (input) and result (output) • Orchestration of independent pieces of work (functions as a service FaaS) – Carrying state of the entire flow (program) – Error handling – Transaction management
- 38. Serverless • Code centric paradigm. Hyde Infrastructure. –Focus on coding resolving business problems and forget about infrastructure –Everything is working on some “computing resources” • Scalability –Developers don't do anything for scaling. Scaling is handled automatically. • Billing –Don't pay for idle time –Pay for milliseconds • Utilization –Many small pieces running for short time on same VM
- 39. Serverless Platforms •AWS Lambda •Azure Functions •OpenWhisk – Open Source / Apache •Fn – Open Source / Oracle – container native •OpenFaaS – Open Source / Alex Ellis – container native
- 40. Fn • Fn components are Docker containers • Requires only Docker engine • Can run on Kubernetes cluster
- 42. Ojet Builder Function curl http://localhost:8080/ojetbuilder /build -d “$GIT_URL $NEXUS_URL $PROJECT_VERSION"
- 43. Q&A