Elizabeth Fuentes Leone’s Post

✨ **Weekend Project Done!** ✨ This weekend, I had fun building and deploying my **personal portfolio** using **AWS S3** and **GitHub Actions**! It’s now live and automated, with every push to GitHub instantly updating the site. Check it out here: Repo: https://lnkd.in/g8qh_w28 #AWS #GitHubActions #Portfolio #WebDevelopment #S3 #cicd #DevOps

Trying to learn basic AWS S3 with nodeJS. In this repo, I tried to get and put objects in the S3 private bucket. 👨💻 #aws #awsS3 #nodejs

My first published GitHub actions!! AWS Nitro Enclaves EIF Build Action helps you build a Nitro enclave EIF file. With just a few lines of code, this action can help you build a consistent EIF file from your app repository. #aws #awscloud #nitroenclave #nitroenclaves #confidentialcomputing #enclaves

🚀 Exciting Projects in Progress! 🚀 I'm currently working on several interesting projects involving AWS and Terraform. Here's a sneak peek: Terraform for EC2: Spinning up EC2 instances across two separate regions (us-east-1 and us-west-1) using Terraform. Use AWS Cloud9 for Development: Writing a simple Node.js app using AWS Cloud9. I might clone one from my GitHub repo to get started. Use AWS CodeCommit for Source Control: Utilizing AWS CodeCommit for source control and to initiate the pipeline. AWS CodeDeploy for Deployment: Deploying the Node.js app to EC2 instances in both us-east-1 and us-west-1 regions using AWS CodeDeploy. AWS CodePipeline for CI/CD: Automating the CI/CD process with AWS CodePipeline. Use AWS Lambda for Automation: Leveraging AWS Lambda functions to automate code execution. Below is a link to my repo showing the terraform script used to spin the EC2 instances. still in progress. https://lnkd.in/dAuQpaFx #AWS #Terraform #Cloud9 #CodeCommit #CodeDeploy #CodePipeline #Lambda #CloudComputing #DevOps

If your account or organization doesn't have an existing repository, you won’t be able to use AWS CodeCommit. This was fact-checked with the AWS support group. So, instead, I used GitHub for my continuous integration while keeping the other steps the same. GitHub Actions will also be used in conjunction with AWS CodePipeline for CI/CD. One key point for me was using Terraform to configure IAM roles rather than doing it manually in the console. My GitHub repo will be updated accordingly. #aws #github #hashicorp #terraform #devops

Just wrapped up a new project I’m really proud of - VideoTube. It’s a cloud-native video-sharing backend that I built from scratch and deployed to kubernetes with monitoring and logging. Thought I’d share what went down and some things I learned along the way. Here’s the repo if you wanna check it out: https://lnkd.in/giMhEs_v Here is the live demo of this project on youtube: https://lnkd.in/gF5UjWbK Tech I Used: - Cloud: AWS EKS - Containers & Orchestration: Docker + Kubernetes + Helm - CI/CD: GitHub Actions + ArgoCD - Monitoring & Logs: Prometheus, Grafana, EFK Stack - Backend: Node.js, Express.js, MongoDB Atlas, JWT - Media Handling: Cloudinary What’s Cool About It: - Deployed on multi-node AWS EKS with custom Helm charts. - CI/CD pipeline was a game-changer—deployment times dropped by 96%! - Slimmed down the Docker image size by 87% using multi-stage builds. - Full monitoring setup with Prometheus/Grafana and centralized logging with EFK. - Secure backend with JWT authentication and modular data models. What I Learned: - Implementing a solid and secure javascript/nodejs tech stack based backend. - Got a much deeper understanding of deploying with Kubernetes. - Setting up a solid CI/CD pipeline makes life easier. - Monitoring and logs are crucial -- easier to spot and fix issues in real time. I’m sharing this because I know how much I’ve learned from others in the community, and maybe this will spark some ideas for you too. If you’ve done similar projects or are just starting out with cloud-native stuff, let’s connect. Always up for a chat about tech or exchanging ideas. No fluff, just a solid project that helped me level up. Let me know what you think! #DevOps #CloudNative #Kubernetes #Docker #CICD #AWS #VideoTube

📚 Spring Boot with AWS S3 and DynamoDB: A Practical Guide 📚 I’ve just completed a project that walks through the integration of Spring Boot with AWS S3 and DynamoDB, focusing on implementing CRUD operations and configuration setups. If you're learning about these technologies or need a reference for your own projects, feel free to check out the code on GitHub! 🔗 [https://lnkd.in/gqU5Dpie] The repository covers: Configuring S3 for file storage and retrieval Using DynamoDB for efficient data management Building RESTful APIs to interact with both services I hope this project serves as a useful resource for anyone looking to dive deeper into cloud-based backend development. Feedback and discussions are always welcome! #SpringBoot #AWSS3 #DynamoDB #GitHub #BackendDevelopment #CloudComputing

𝐖𝐡𝐞𝐫𝐞 𝐝𝐨 𝐭𝐡𝐞 𝐝𝐨𝐜𝐤𝐞𝐫 𝐢𝐦𝐚𝐠𝐞𝐬 𝐥𝐢𝐯𝐞? 🤔 Imagine 𝐃𝐨𝐜𝐤𝐞𝐫 𝐢𝐦𝐚𝐠𝐞𝐬 as recipes for building containers. Now, where do we store these recipes? Here's a breakdown of options 😃 👉 𝐋𝐨𝐜𝐚𝐥 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 (𝐋𝐢𝐤𝐞 𝐚 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐂𝐨𝐨𝐤𝐛𝐨𝐨𝐤): 🚤 When we create or download an image, it gets saved on our computer in the /𝐯𝐚𝐫/𝐥𝐢𝐛/𝐝𝐨𝐜𝐤𝐞𝐫 directory (on Linux). 🚤 We can see all our local images with the 𝐝𝐨𝐜𝐤𝐞𝐫 𝐢𝐦𝐚𝐠𝐞𝐬 command. Think of it as our personal recipe collection, handy for quick access. 👉 𝐃𝐨𝐜𝐤𝐞𝐫 𝐇𝐮𝐛 (𝐓𝐡𝐞 𝐁𝐢𝐠 𝐏𝐮𝐛𝐥𝐢𝐜 𝐂𝐨𝐨𝐤𝐛𝐨𝐨𝐤 𝐒𝐡𝐞𝐥𝐟): ⛴️ This is the most popular public registry for Docker images (https://hub.docker.com). ⛴️ Anyone can upload recipes (push images) or download existing ones (pull images) from here. ⛴️ It's great for finding common images like the popular web server 𝘯𝘨𝘪𝘯𝘹 i.e. 𝐝𝐨𝐜𝐤𝐞𝐫 𝐩𝐮𝐥𝐥 𝐧𝐠𝐢𝐧𝐱. 👉 𝐏𝐫𝐢𝐯𝐚𝐭𝐞 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐢𝐞𝐬 (𝐂𝐨𝐦𝐩𝐚𝐧𝐲'𝐬 𝐒𝐞𝐜𝐮𝐫𝐞 𝐂𝐨𝐨𝐤𝐛𝐨𝐨𝐤 𝐕𝐚𝐮𝐥𝐭): 🛥️ Many companies use private registries to store their own images securely. 🛥️ This gives them more control over who can access and use these recipes. 🛥️ There are several options like Docker Hub's private repositories, or cloud-based solutions like 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐂𝐑(Elastic Container Registry), 𝐆𝐨𝐨𝐠𝐥𝐞 𝐆𝐂𝐑(Google Container Registry), and 𝐀𝐳𝐮𝐫𝐞 𝐀𝐂𝐑(Azure Container Registry). 🛥️ You can even set up your own private registry with tools like Docker Registry or Harbor. 👉 𝐎𝐭𝐡𝐞𝐫 𝐏𝐮𝐛𝐥𝐢𝐜 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐢𝐞𝐬 (𝐌𝐨𝐫𝐞 𝐏𝐮𝐛𝐥𝐢𝐜 𝐒𝐡𝐞𝐥𝐯𝐞𝐬): 🛳️ Besides Docker Hub, there are other public registries like GitHub Container Registry (GHCR) and Quay[dot]io. #docker #dockerImages #aws #ECR #ACR #GCR #nginx

🚀 Excited to Share My Latest AWS Project! 🚀 I've recently completed a project on AWS, and I'm thrilled to share it with you all. The project involves Continuous Deployment using AWS CodePipeline and S3(Simple Storage service). 🔍 Project Overview: - Game Description: Developed a simple memory matching game where users click on cards to find matching pairs. The game is built using HTML, CSS, and JavaScript. - Game Features:  - Matching cards mechanism  - Potential for additional features like scoring, timer, more cards, and multi-player capabilities 🔧 Deployment Environment: - Hosting: The game is hosted in an S3 bucket. - Continuous Deployment Pipeline:  - Tools Used: AWS CodePipeline, GitHub, S3  - Process: CodePipeline pulls the code from GitHub and deploys it to S3 whenever a change is detected, ensuring seamless updates. 🛠️ Why This Project? This project provided a hands-on experience with AWS CodePipeline and S3 for continuous deployment. It was a great opportunity to integrate AWS services and automate the deployment process. 📈 Outcomes: - Successfully created a continuous deployment pipeline. - Gained practical experience with AWS CodePipeline and S3. - Improved understanding of automating deployment workflows. Check out the project on GitHub to see the implementation: (https://lnkd.in/dcBtbKD2). #AWS #CodePipeline #S3 #CloudComputing #WebDevelopment #GitHub

A codespace is a development environment that's hosted in the cloud. You can customize your project for GitHub Codespaces by committing configuration files to your repository (often known as Configuration-as-Code), which creates a repeatable codespace configuration for all users of your project. Today I earned my "Code with GitHub Codespaces" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! #github #githubcodespaces #git #githubcommand #gitproject #gitlearn