added pipeline and dockerfile

This commit is contained in:
venkeyboda07@gmail.com 2025-02-06 12:04:29 +05:30
parent aa2273e955
commit a86e3a6ca3
3 changed files with 142 additions and 0 deletions

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Dockerfile Normal file
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FROM maven:3.9-eclipse-temurin-17 AS builder
COPY . /spc
WORKDIR /spc
RUN mvn package
FROM eclipse-temurin:17-alpine
LABEL org="spc build" author="venkat"
ARG USERNAME=spc
RUN apk add --no-cache bash
RUN adduser -D -h /apps -s /bin/bash/ ${USERNAME}
USER ${USERNAME}
COPY --from=builder --chown={USERNAME}:{USERNAME} /spc/target/spring-petclinic-3.4.0-SNAPSHOT.jar /apps/spring-petclinic-3.4.0-SNAPSHOT.jar
WORKDIR /apps
EXPOSE 8080

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azure-pipelines.yml Normal file
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pool: Default
pr:
- develop
stages:
- stage: CI
jobs:
- job: Build
displayName: 'Building and Testing'
steps:
steps:
- task: Maven@4
displayName: 'build and publish the maven code'
inputs:
mavenPomFile: pom.xml
goals: 'clean package'
testResultsFiles: '**/surefire-reports/TEST-*.xml'
publishJUnitResults: true
- task: CopyFiles@2
inputs:
contents: '**/*.jar'
targetFolder: '$(Build.ArtifactStagingDirectory)'
- task: PublishBuildArtifacts@1
inputs:
pathToPublish: '$(Build.ArtifactStagingDirectory)'
artifactName: drop
- task: Docker@2
displayName: 'Build docker image'
inputs:
command: 'buildAndPush'
Dockerfile: './Dockerfile'
repository: venkeyboda/spring-petclinic
tags: '$(Build.BuildId)'

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setup.md Normal file
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# Steps
### DEVELOP BRANCH PULL BASED
-----------------------------
* Java-based Spring Petclinic application
* Pull request-based development
* Create a multi-stage Dockerfile for the Spring Petclinic application on the `develop` branch
* Execute Dockerfile Using Command
```bash
# Create image command
docker image build -t spc:1.0 .
docker image build -t <your image:tag> (dockerfile name)
# Check if the image was created
docker image ls
# Check if your image is running in a container (for verification purposes)
docker container run -P -d --name mytest spc:1.0
docker container run -P -d --name <container name> <your image:tag>
# Check if the container is running (to verify container status)
docker container ls
```
* Image Scanning with Trivy
* Now, to scan your image with Trivy, follow these steps:
* First, install Trivy on your VM or EC2 instance.
```bash
sudo apt-get install wget apt-transport-https gnupg lsb-release
wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | gpg --dearmor | sudo tee /usr/share/keyrings/trivy.gpg > /dev/null
echo "deb [signed-by=/usr/share/keyrings/trivy.gpg] https://aquasecurity.github.io/trivy-repo/deb $(lsb_release -sc) main" | sudo tee -a /etc/apt/sources.list.d/trivy.list
sudo apt-get update
sudo apt-get install trivy -y
```
### After Trivy is installed, scan your image using the following command:
```bash
trivy image spc:1.0
trivy image <image:tag>
```
#############################################################################################################################################################################
### RELEASE BRANCH PUSH BASED
-----------------------------
* Push Based `Release`
* Multiple developers have made changes, so we will scan the Docker image again.
* On the release branch, scan the Docker image with Trivy.
### After Trivy is installed, use the following command:
```bash
trivy image spc:1.0
trivy image <image:tag>
```
* The output will show vulnerabilities or reports.
* Pushing the Image to a Registry
* Once the image scan is completed, we can push the image to a registry such as Docker Hub, ECR, or ACR.
### To push to Docker Hub, follow these steps:
```bash
docker login
docker image tag <docke image> <repousename>/<reponame>:<tag>
docker image tag spc:1.0 longflew/javaimagecicd:1.0
docker image push longflew/javaimagecicd:1.0
```
##### Note: Ensure k8s Cluster(AKS or EKS) will be created
### Installing helm
* [Refer Here](https://helm.sh/docs/intro/install/) for installing Helm
* Once installation completed run the following commands
* To Create a new helm chart repo
`helm create <your chat>`
`helm create spc-chart`
* Deploy the application in k8s using helm , the command will be
`helm install <release name> <chart name>`
`helm install spc-release spc-chart`
* Check the appliocation running or not using the k8s commands
```bash
kubectl get po
kubectl get svc
```
* Take the IP or DNS of the service and open new Browser and paste the IP or DNS.
### Upgrade docker image in helm
* Whenever we upgrade the Docker image in Helm, the deployment manifest file is also automatically updated with the new image
* After making further changes, we updated the values.yaml file to modify the image tag.
* use the following command:
```bash
# docker image upgrade
helm upgrade spc-release spc-chart -f values.yaml --set image.tag=new-image-tag
# Verify the Upgrade
helm get all <release name>
helm get all spc-release
```