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Consider using a containerization platform like Docker or Kubernetes to make deployment and scaling even easier. You can create a Docker image of your JAR application and deploy it as a container using a Kubernetes cluster.
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Building a new application DeployIt which is a free, self-hostable Platform as a Service that simplifies the deployment and management of applications and databases. Currently at 40% completion, and it's already GitHub: https://github.com/ezeslucky
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DevOps Roadmap ๐ Step 1 โ Linux Basics Step 2 โ Scripting (Bash, Python) Step 3 โ Git Step 4 โ CI/CD (Jenkins, GitHub) Step 5 โ Containerization (Docker) Step 6 โ Orchestration (Kubernetes) Step 7 โ Monitoring (Prometheus, Grafana) Step 8 โ Cloud P
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๐ Optimizing Docker builds goes beyond just speed; itโs a game-changer for reducing deployment costs, enhancing security, and ensuring consistency! ๐ ๏ธ Every layer and dependency countsโlarge images can slow down deployments and inflate costs. Don't
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This Week's Learning Journey - Cloud, DevOps, Node.js & Docker. This week has been packed with hands-on learning and growth. Cloud & DevOps Gained a solid understanding of AWS services like EC2, S3, and CloudFront. Deployed my first application on
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After successfully automating the deployment of JAR files, I'm now tackling a more complex challenge: automating the deployment of Node.js applications across various popular JavaScript frameworks. It's definitely more complicated, but I'm optimistic
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I am now accepting freelance projects in DevOps and Generative AI domains. With hands-on experience in cutting-edge technologies, here's what I bring to the table: DevOps Expertise Proficient in Docker and Kubernetes for containerization and orches
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