Towards AWS’ Post

**Guide to Using Docker Volumes in AWS DevOps Pipelines** 🚀🛠️ Here’s a simple guide on how to set up and use Docker volumes in AWS for DevOps workflows: 1. **Create a Volume in Docker** 📦:   - Use the `-v` option to create and mount a volume for your container:    ```bash    docker run -v myvolume:/data myimage    ```   - This creates a volume named `myvolume` and mounts it to `/data` inside the container, so data is saved even if the container stops. 2. **Use Volumes in a Jenkins Pipeline** 🤖:   - In Jenkins, specify volumes when running containers. For example:    ```groovy    pipeline {      agent any      stages {        stage('Build and Run') {          steps {            script {              def volumeName = 'myvolume'              docker.build('myimage') // Build Docker image              docker.run('myimage', '-v ' + volumeName + ':/data') // Run with volume            }          }        }      }    }    ```   - This builds the Docker image, then runs it with a volume attached, so data persists even if the container stops. 3. **Set Up Volumes in AWS ECS** ☁️:   - For AWS ECS (Elastic Container Service), define volumes in the ECS task definition:    - Add a volume:     ```json     "volumes": [{"name": "myvolume", "host": {"sourcePath": "/ecs/data"}}]     ```    - Mount it to a container:     ```json     "mountPoints": [{"sourceVolume": "myvolume", "containerPath": "/data"}]     ``` 4. **Use Amazon EFS for Larger Storage** 💾:   - For larger or shared storage, consider Amazon EFS (Elastic File System), which can be mounted to multiple containers for shared and scalable storage. --- ### Tags:  #AWSDevOps 🌩️ #DockerVolumes 📂 #JenkinsPipeline 🤖 #ContainerPersistence 🛠️ #AmazonEFS 🗄️ #CloudStorage ☁️ #DataManagement 📊 #DevOpsTips 💡 #TechGuide 📘

I'm thrilled to share my latest blog "𝐋𝐞𝐯𝐞𝐫𝐚𝐠𝐢𝐧𝐠 𝐀𝐖𝐒 𝐂𝐨𝐝𝐞𝐁𝐮𝐢𝐥𝐝 𝐚𝐧𝐝 𝐂𝐨𝐝𝐞𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐟𝐨𝐫 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐭𝐨 𝐄𝐧𝐚𝐛𝐥𝐞 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐇𝐞𝐥𝐦 𝐂𝐡𝐚𝐫𝐭 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭𝐬 𝐨𝐧 𝐏𝐫𝐢𝐯𝐚𝐭𝐞 𝐄𝐊𝐒 𝐂𝐥𝐮𝐬𝐭𝐞𝐫"🚀 In today’s fast-paced DevOps world, efficient and reliable CI/CD pipelines are essential for robust and reliable deployments. This blog dive deep into building a secure, automated CI/CD pipeline using AWS CodeBuild and CodePipeline with security best practices in the private network, utilizing AWS Secrets Manager to manage sensitive credentials. This CI/CD pipeline simplify Helm chart deployments, empowering teams to deliver faster rollouts. Whether you're looking to optimize your deployments within private networks or adopt security best practices for application rollouts, this blog offers actionable insights to level up the workflow! 💡 Curious to learn how these practices can transform the deployment strategies? Check out the full blog here: 🔗 Blog Link: https://lnkd.in/g7pBeQaW Amazon Web Services (AWS) #aws #amazonwebservices #awscloud #cloudcomputing #devops #kubernetes #eks #cicd #helm #codebuild #codepipeline #docker #containerization #cicdpipeline #k8s #git #github #cloudsecurity #awscommunity #awscommunitybuilder #cloudnativesolutions #ecr #continuousintegration #continuousdeployment #sre #automation #cloudengineer #devopsengineer #devopscommunity #learning #techblog

Unlocking the Power of AWS Console to Code: A Game-Changer for DevOps and Infrastructure as code (IaC) New capability! It’s now easier to learn and start in the AWS console and then move a workload in production managing the infrastructure as code. Check my blog on AWS Community: https://lnkd.in/d64jn9mS Convert AWS console actions to reusable code with AWS Console-to-Code. Amazon Web Services (AWS) #AWS #DevOps #IaC #iac_generator #automation

AWS DevOps Project: CI/CD Pipeline with Infrastructure as Code, Monitoring and more Welcome back to everyone. I am so glad I finally get to do this. This has been a pretty unique journey for me so far. In this AWS DevOps project (advanced), we will build a really sophisticated CI/CD pipeline which will automate the deployment of microservices-based application on AWS. To do this, we’ll leverage key DevOps practices like Infrastructure as Code (IaC) — Terraform, container orchestration — Amazon EKS (Elastic Kubernetes Service), service mesh integration — Istio, and comprehensive monitoring and logging — Prometheus, Grafana, and Fluentd. We designed this project to cover complex, real-world scenarios that Cloud & DevOps engineers frequently face, providing you with an in-depth understanding of how we can architect, deploy, and manage modern cloud-native applications. #awscloud #cloudcomputing #devops #devsecops #awseks #terraform #prometheus #grafana #kubernetes #docker #ansible #linux #redhatlinux #openshift #opensource https://lnkd.in/gGy4KDeg

Essential AWS Services : DevOps Engineer Fundament Services VPC: launch resources in the virtual network EC2: Virtual servers in the cloud S3: scalable and secure object storage RDS: easy setup and scaling of databases IAM (Identity and Access Management): secure access control for resources and learn how to create IAM users, groups, and roles, and how to apply permissions and security best practices to ensure proper access control. Networking VPC and Route 53 ( scalable domain name system (DNS) service ) Continuous Integration & Continuous Delivery (CICD) Codecommit : Github for AWS and a managed source control service. Learn how to set up a Git repository in CodeCommit, collaborate with team members, and manage version control of your codebase. CodeBuild: fully-managed build service and a fully managed build service. Learn how to configure build projects in CodeBuild, define build specifications, and perform build and testing processes. CodeDeploy : automated application deployment service and a service for automating application deployments to various compute environments. Learn how to create deployment groups, configure deployment strategies, and perform automatic rollbacks if necessary. Code Pipeline: continuous integration and delivery service and a fully managed continuous delivery service. Learn how to build end-to-end CI/CD pipelines by configuring source, build, and deployment stages, automating the entire software release process. Database RDS SQL : Database service DynamoDB : NoSQL database service ElastiCache: in-memory data store and cache service Infrastructure Provisioning and Management ( Infrastructure as CODE ) CloudFormation : automate infrastructure with code Terraform: Embrace the multi-cloud world! This open-source IaC tool lets you manage your AWS infrastructure alongside other cloud providers, giving you flexibility and control. Automation Lambda: serverless compute service to run code without managing the server. Manager : control your infrastructure on AWS Elastic beanstalk : deploy web apps without managing infrastructure. Secrets Manager : secure secret management and a service for storing and Key Management Service (KMS): encryption key creation and management Cloudwatch  CloudTrail CloudTrail and Config ECR : AWS ECR (Elastic Container Registry)  ECS AWS ECS (Elastic Container Service) EKS AWS EKS (Elastic Kubernetes Service) AWS Elastic Load Balancer #AWS #DevOps #Cloud #AWSService #AWSFORDEVOPS #CloudDevOPS

Learn how to efficiently work with CI/CD for containers and microservices-based applications on AWS EKS in our latest blog post. 👉 https://lnkd.in/geUPu3Mn #aws #eks #devops #terraform

🚀 Deployed an Amazon Prime Clone Using CI/CD and Kubernetes! 🎬✨ Proud to share my recent journey of deploying an Amazon Prime Clone using some of the most robust tools and technologies in the DevOps ecosystem. The entire process involved setting up a CI/CD pipeline, container orchestration, and monitoring, making it a full-stack deployment experience! Here's a quick overview of the tech stack and process: 🔧 Steps and Tools Involved: 1️⃣ AWS: IAM setup, CLI configuration, EC2 for hosting Jenkins, ECR for container image storage, and EKS for Kubernetes cluster management. 2️⃣ Terraform: Automated resource creation for EC2 and EKS clusters. 3️⃣ Jenkins: Configured pipelines for both build and deployment, integrated with SonarQube for code quality checks. 4️⃣ Docker: Containerized the application for seamless deployments. 5️⃣ ArgoCD: Streamlined Kubernetes deployments with declarative GitOps practices. 6️⃣ Prometheus & Grafana: Set up monitoring and custom dashboards for application metrics. 7️⃣ GitHub: Hosted and managed the application code and pipeline scripts. ✨ Key Highlights: Built a multi-stage pipeline for both application builds and deployment to Kubernetes clusters. Leveraged SonarQube to ensure code quality. Used ArgoCD to simplify Kubernetes deployments and manage manifests. Integrated Prometheus & Grafana to monitor system performance. 🌟 Final Output: A fully functional Amazon Prime Clone running on a Kubernetes cluster with load-balanced endpoints and real-time monitoring! 🎉 For those interested in replicating this deployment or learning more, check out the GitHub repo here: https://lnkd.in/gE_YxA7P This project was a fantastic opportunity to explore the synergy of tools like Terraform, Jenkins, Docker, and Kubernetes while ensuring scalability and reliability. 💡 Let’s connect if you have ideas or want to discuss DevOps, cloud computing, or Kubernetes deployments! 🌐 #DevOps #AWS #Kubernetes #Terraform #Jenkins #Docker #SonarQube #Prometheus #Grafana #CloudComputing #CICD #Automation #TechInnovation #OpenSource #LearningByDoing

Hi there, In the below project I have created, - Azure infra using terraform - CICD using Azure Devops - Multi-staging Dockerfile https://lnkd.in/gz-Fywjn . . . . . . . . . . . #DevOps #Containerization #Docker #Azure #AzureDevOps #Kubernetes #IaC #Terraform

Kubernetes Simplified: Building versatile environments with Flux and vCluster on AWS #WorkSmartWithK8s #kubernetes #aws #eks #gitops #flux #vcluster https://lnkd.in/e4RE5Wcv

Implementing AWS CodeDeploy for Continuous Delivery on EC2 Instance - AWS Ultimate CI/CD Pipeline #aws #devops #DevOpsenthusiasts #Devopsjobs #Devopslearners #DevOpsteams #DevOpsskills ✦ Implementing CI/CD solution with AWS CodeDeploy on EC2 instance ✦ Focusing on integrating CodeDeploy with EC2 instance for a Python Flask application deployment. ✦ Setting up application deployment with AWS CodeDeploy ✦ Create an EC2 instance to host and deploy applications. ✦ Utilizing tags for efficient resource tracking ✦ Installing CodeDeploy agent on EC2 instance ✦ AWS recommends replacing bucket name and region identifier for low latency ✦ Granting permissions and starting service for AWS CodeDeploy ✦ Configure CodeDeploy application for deployment Source: https://lnkd.in/gRQXpTU5 Special thanks to Abhishek Veeramalla providing amazing content for devops.