Pravesh Sudha

Hola Amigos 👋 What happens when you deploy the SAME application using Traditional ECS and ECS Express Mode? That's exactly what we're going to find out in today's project. I built a Flask Portfolio application with multiple versions and deployed it using Terraform in two different ways: 🧠 Traditional ECS 🚀 ECS Express Mode With Traditional ECS, we manually configure the infrastructure required to run our application. With ECS Express Mode, AWS takes care of a large part of the underlying infrastructure for us — including components like the Application Load Balancer, Target Groups, HTTPS configuration, scaling, metrics, alarms, health checks and more. But does that make Express Mode better? In this video, we'll deploy both architectures, update the application version, compare the infrastructure, and I'll share my personal verdict on when I would choose Traditional ECS vs ECS Express Mode. My takeaway: Traditional ECS → More control + better for learning ECS Express Mode → More abstraction + simpler deployments 📌 BLOG ECS Express Mode vs Traditional ECS — A Hands-on Comparison with Terraform: https://dev.to/aws-builders/ecs-express-mode-vs-traditional-ecs-a-hands-on-comparison-with-terraform-cnp 💻 GITHUB REPOSITORY Terraform Projects: https://github.com/Pravesh-Sudha/terra-projects ☸️ K8S-WITH-PRAVESH Today's project is different from the K8s-with-Pravesh series. If you want to learn Kubernetes through hands-on projects, check out the playlist: https://youtube.com/playlist?list=PLlens1h3v6tf1apwqaJDYjtdry-uFTUH2&si=NAm71YIT3eEFZXCz 🔥 ANOTHER DEVOPS PROJECT I Automated AWS Infrastructure Using Terraform + Ansible (FULL DevOps Project) In this project, I automated the creation and configuration of multiple AWS environments — Dev, Stage, and Prod — using Terraform and Ansible. We provision 6 EC2 instances automatically, configure them with Ansible, and serve unique content for each environment — all with a single script! Watch it here: https://youtu.be/tKlGTGye_hk ⏱️ TIMESTAMPS 0:00 – Introduction 2:10 – Portfolio 2:56 – Getting Started 3:36 – Traditional ECS 6:23 – What it lacks? 7:14 – Traditional Version Upgrade 8:00 – ECS Express 10:54 – Comparison 12:11 – My Verdict 12:45 – Another COOL Project 13:17 – Wrap Up ━━━━━━━━━━━━━━━━━━━━ 👨‍💻 CONNECT WITH ME GitHub: https://github.com/Pravesh-Sudha LinkedIn: https://www.linkedin.com/in/pravesh-sudha/ X/Twitter: https://x.com/@praveshstwt YouTube: https://www.youtube.com/@pravesh-sudha If you enjoyed the project, consider subscribing for more hands-on AWS, DevOps, Terraform, Kubernetes and Cloud projects. And let me know in the comments: Would you choose Traditional ECS or ECS Express Mode? 👇 #AWS #ECS #ECSExpressMode #Terraform #DevOps #CloudComputing #AWSCloud #Docker #InfrastructureAsCode #IaC #AWSDevOps #CloudEngineering

Year 2 as an AWS Community Builder! 🚀 My latest AWS Community Builder swag finally arrived… and yep, I got another bag. 😂 But hey, it never hurts to have two, right? Grateful to be part of the AWS Community Builder program and excited for another year of learning, building, and sharing with the community. 💙 #AWS #AWSCommunityBuilders #AWSCommunityBuilder #AWSCloud #CloudComputing #DevOps #Tech #Unboxing #Swag #YouTubeShorts #Shorts

What REALLY happens when you run: kubectl apply -f deployment.yaml 🤔 Most people think kubectl creates the Pods. But that's not actually what happens. In 𝗘𝗽𝗶𝘀𝗼𝗱𝗲 𝟰 of 𝗞𝟴𝘀 𝗪𝗶𝘁𝗵 𝗣𝗿𝗮𝘃𝗲𝘀𝗵, we're going inside the Kubernetes API Server and following the complete journey of a request. 𝗪𝗲'𝗹𝗹 𝘂𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱: 🔹 What exactly is the Kubernetes API Server? 🔹 Why is it called the front door of Kubernetes? 🔹 Why is the API Server completely stateless? 🔹 How Authentication and RBAC work 🔹 What Admission Controllers actually do 🔹 How the API Server interacts with etcd 🔹 How the Watch mechanism works 🔹 How Controllers, Scheduler and Kubelet eventually create the Pod 🔹 Why kubectl doesn't actually create Pods 🔹 Why Kubernetes resources have different API versions like v1, apps/v1, and batch/v1 🔹 How to interact directly with the Kubernetes API using kubectl proxy The goal of this episode isn't just to tell you what the API Server is, but to help you build a mental model of how Kubernetes actually works under the hood. ⏱️ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦 0:00 – Introduction 0:59 – What is API Server? 2:23 – Interesting Fact 6:01 – The Journey Begins 7:56 – Conclusion 📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗕𝗹𝗼𝗴 I also wrote a detailed blog covering the same topic, with the API Server demo and examples: 👉 https://dev.to/aws-builders/api-server-explained-like-never-before-episode-4-2pjo ☸️ 𝗞𝟴𝘀 𝗪𝗶𝘁𝗵 𝗣𝗿𝗮𝘃𝗲𝘀𝗵 This video is Episode 4 of my Kubernetes learning series, where we're breaking down Kubernetes concepts and understanding what happens under the hood. 📚 𝗙𝗼𝗹𝗹𝗼𝘄 𝘁𝗵𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝘀𝗲𝗿𝗶𝗲𝘀: 👉 https://dev.to/pravesh_sudha_3c2b0c2b5e0/series/42352 🔗 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝗪𝗶𝘁𝗵 𝗠𝗲 💼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻: https://www.linkedin.com/in/praveshsudha/ 🐦 𝗫: https://x.com/praveshstwt 💻 𝗚𝗶𝘁𝗛𝘂𝗯: https://github.com/Pravesh-Sudha 📝 𝗗𝗲𝘃.𝘁𝗼: https://dev.to/pravesh_sudha_3c2b0c2b5e0 📖 𝗠𝗲𝗱𝗶𝘂𝗺: https://medium.com/@praveshsudha 📺 𝗬𝗼𝘂𝗧𝘂𝗯𝗲: https://www.youtube.com/@pravesh-sudha If you found this video useful, consider liking, subscribing, and sharing it with someone who's learning Kubernetes. ❤️ Till then, Happy Coding 👋 #Kubernetes #K8s #DevOps #CloudComputing #AWS #Docker #KubernetesAPI #APIServer #CloudNative #CNCF #Containers #PlatformEngineering #DevOpsEngineer #KubernetesTutorial #LearnKubernetes

Have you ever wondered what actually happens after you run: kubectl apply -f deployment.yaml A few seconds later, your Pods are running. But what happens in between? In this episode of K8s with Pravesh, we trace the complete journey of a Kubernetes Deployment—from your terminal all the way to a running container inside the cluster. We'll understand how: 🔹 API Server receives your request 🔹 ETCD stores the desired state 🔹 Controller Manager reconciles the cluster 🔹 ReplicaSet creates Pods 🔹 Scheduler selects the best node 🔹 Kubelet manages the workload 🔹 Container Runtime starts the container If you've ever wanted to understand Kubernetes beyond just YAML files and kubectl commands, this video is for you. ━━━━━━━━━━━━━━━━━━━━━━ 📚 K8s with Pravesh Playlist: https://youtube.com/playlist?list=PLlens1h3v6tf1apwqaJDYjtdry-uFTUH2&si=8cwr0bJ7ba7EPXOk 📝 Read the accompanying blog: https://dev.to/aws-builders/what-really-happens-when-you-run-kubectl-apply-episode-3-22kp ━━━━━━━━━━━━━━━━━━━━━━ 🌐 Connect with me 💼 LinkedIn: https://www.linkedin.com/in/praveshsudha/ 🐦 X (Twitter): https://x.com/praveshstwt 💻 GitHub: https://github.com/Pravesh-Sudha 📝 Blog: https://blog.praveshsudha.com 👨‍💻 DEV Community: https://dev.to/aws-builders ━━━━━━━━━━━━━━━━━━━━━━ #kubernetes #kubectl #devops #cloudcomputing #aws #cncf #containers #platformengineering #k8s #docker #opensource #softwareengineering

Think ChatGPT, Claude, or Gemini is giving you bad responses? Well... the AI might not be the problem. Your prompt probably is. 😑 In this video, we'll explore some of the most useful Prompt Engineering techniques that can dramatically improve the quality of AI responses. We'll cover: ✅ Zero-Shot Prompting ✅ Few-Shot Prompting ✅ Multi-Shot Prompting ✅ Chain of Thought Prompting ✅ Retrieval-Augmented Generation (RAG) Whether you're a developer, DevOps engineer, student, or someone using AI daily, these techniques will help you get better responses while saving time (and even tokens). 📖 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗮𝗰𝗰𝗼𝗺𝗽𝗮𝗻𝘆𝗶𝗻𝗴 𝗯𝗹𝗼𝗴: https://dev.to/aws-builders/heres-why-your-prompt-is-wrong-3dlm 🎥 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲 𝗮𝗯𝗼𝘂𝘁 𝗥𝗔𝗚 (𝗖𝗼𝗴𝗻𝗲𝗲): https://youtu.be/86eA3UuxA54 https://youtu.be/uvkwXSUJ6Hw ⏱️ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦 0:00 – Introduction 0:43 – Why Prompts Matter? 1:22 – Zero-Shot Prompting 2:56 – Few-Shot Prompting 4:23 – Multi-Shot Prompting 4:45 – Chain of Thought Prompting 5:48 – Retrieval-Augmented Generation (RAG) 6:49 – Conclusion 🌐 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 𝘄𝗶𝘁𝗵 𝗺𝗲 💼 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 https://www.linkedin.com/in/pravesh-sudha/ 🐦 𝗧𝘄𝗶𝘁𝘁𝗲𝗿 (𝗫) https://x.com/praveshstwt 🎥 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 https://www.youtube.com/@pravesh-sudha 📝 𝗕𝗹𝗼𝗴 https://blog.praveshsudha.com If you enjoyed this video, consider leaving a Like 👍, Share it with your friends, and Subscribe for more content on AI, AWS, Kubernetes, DevOps, Terraform, Cloud Computing, and Software Engineering. Till then, Adios 👋 #AI #PromptEngineering #ChatGPT #Claude #Gemini #LLM #GenerativeAI #RAG #MachineLearning #ArtificialIntelligence #DevOps #AWS #Kubernetes #Programming #SoftwareEngineering #Developers #Tech #Coding