Andres Saar’s Post

📘 Ingress vs Gateway in Kubernetes – Explained Visually! 🚀 Understanding how Ingress and the newer Gateway API differ is crucial for anyone managing modern Kubernetes networking and traffic flow. 🔹 Ingress provides a simplified model for routing traffic into a cluster-where a single Ingress Controller (like NGINX or GKE Ingress) handles all routing logic. It’s great for smaller setups but lacks flexibility across multi-team or layered architectures. 🔹 Gateway, on the other hand, introduces a layered, role-based architecture-splitting responsibilities between infrastructure admins, cluster admins, and developers. It enables better security, scalability, and portability across cloud environments using a consistent Gateway API. 👉 In short: Ingress = Simple, controller-specific routing Gateway = Modular, scalable, and role-oriented networking model #Kubernetes #DevOps #CloudNative #Ingress #GatewayAPI #Networking #Microservices #CloudComputing #Containerization #Docker #Istio #Envoy #Cilium #PlatformEngineering #SRE #TechLearning #K8s #OpenSource #CloudArchitecture #InfrastructureAsCode #Automation #Grafana #Prometheus #Observability #CICD #DevOpsCommunity #TechTrends #SoftwareEngineering #Innovation #SiteReliabilityEngineering #ClusterNetworking #GatewayController #APIManagement #KubernetesGateway #NGINX #CloudInfrastructure #DevOpsTools #KubernetesAdmin #TechEducation #SystemDesign #LinkedInLearning

With OpenProdkt, every resource is defined in code. 50+ Terraform modules manage everything from VPCs to IAM roles. Here's what we learned. Why Terraform for AWS? Declarative syntax beats imperative clicking. Version control for infrastructure. Reproducibility across environments. Our Module Structure: Core Infrastructure: VPC, subnets, security groups Compute: EKS cluster, Lambda layers, API Gateway Data: DynamoDB tables with streaming enabled Security: IAM roles, KMS keys, secrets management Observability: CloudWatch, Prometheus, Grafana Key Practices: ✅ Remote state with locking (no conflicts) ✅ Environment separation (sandbox → production) ✅ Modular design (reuse across projects) ✅ Security scanning (Checkov integration) ✅ Documented variables and outputs The Real Win: Spinning up a complete production environment takes less than 30 minutes. Down from weeks of manual configuration. Version control your infrastructure. You'll thank yourself later. What's your IaC strategy? #Terraform #AWS #DevOps #Infrastructure

⚡ Zero Downtime Deployments? Yes, please! Ever wondered how companies deploy new features without breaking production? Meet the Blue/Green Deployment Strategy. In this approach: 🟦 Blue: Your current production environment (v1) keeps running smoothly. 🟩 Green: The new version (v2) is deployed here, completely isolated. A simple AWS Application Load Balancer or similar routing tool directs traffic: ✅ If v2 is healthy, traffic switches to Green. ⚠️ If v2 fails, traffic instantly routes back to Blue. This strategy ensures: - Zero downtime for users - Safe rollbacks if things go wrong - Confidence in releasing new features In the world of Spring Boot apps, microservices, or any web application, Blue/Green deployment is a game-changer for stability and reliability. 💡 Pro Tip: Combine with CI/CD pipelines for fully automated, safe, and fast deployments. #DevOps #BlueGreenDeployment #CICD #SpringBoot #CloudComputing #AWS #SoftwareDelivery

🚀𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐁𝐮𝐥𝐤 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐈𝐦𝐩𝐨𝐫𝐭 — 𝐟𝐫𝐨𝐦 𝐁𝐫𝐨𝐰𝐧𝐟𝐢𝐞𝐥𝐝 𝐭𝐨 𝐈𝐚𝐂 𝐅𝐚𝐬𝐭 🏃 One of the best announcements from HashiConf 2025: Terraform’s new Search + Import (Beta) workflow. This feature discovers existing cloud resources across accounts and regions and imports them into Terraform in bulk — no more manual IDs or one-by-one imports. It maps resources by provider type and identity, building a safe, reviewable import plan that avoids drift and duplicate management. 𝐖𝐡𝐲 𝐢𝐭 𝐦𝐚𝐭𝐭𝐞𝐫𝐬? 🤔 You can now bring your brownfield cloud estate under Terraform control at scale, transforming hand-built infra into a managed, auditable plan of record. 🅷🅾🆆 🆃🅾 🆂🆃🅰🆁🆃 ✦ Begin with a small scope (VPCs, subnets, gateways). ✦ Filter by account, region, or tags. ✦ Review the mapping, approve in batches, and import to a new workspace. ✦ Lock down state, enable policy checks, and measure drift. 𝕭𝖊𝖙𝖆 𝖓𝖔𝖙𝖊𝖘:✍ ✔Expect limited service coverage and edge-case gaps. Always test in non-prod and keep rollback plans ready. »»» 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 𝗷𝘂𝘀𝘁 𝗺𝗮𝗱𝗲 𝗯𝗿𝗼𝘄𝗻𝗳𝗶𝗲𝗹𝗱 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗺𝘂𝗰𝗵 𝗲𝗮𝘀𝗶𝗲𝗿. ¯\_(ツ)_/¯ Link to the Hashicorp 2025 Key note: https://lnkd.in/gZeH8JwR #Terraform #HashiConf #IaC #DevOps #CloudAutomation #InfrastructureAsCode

💡 Terraform Best Practices for Maintainable & Scalable Infrastructure 🌍💻 When working with Terraform, structuring your configurations properly is key to long-term success. Here are some best practices that make your infrastructure easier to manage and scale: ✅ Organize by modules and environments (e.g., modules/vpc, envs/dev, envs/prod) ✅ Keep state files separate per environment or component ✅ Use remote backends (like S3 + DynamoDB) for safe state management ✅ Maintain clean variables.tf and outputs.tf for clarity ✅ Apply consistent naming conventions and tagging across resources ✅ Manage secrets securely — never hardcode them ✅ Automate validation and deployment with CI/CD pipelines ✅ Use tools like tflint, terraform-docs, or terragrunt for quality and DRY configs Clean structure = Easier collaboration, faster scaling, and fewer surprises. 🚀 #Terraform #DevOps #InfrastructureAsCode #CloudEngineering #IaC #AWS #Automation

🚀 Day 3: Static Web Hosting on AWS — Automating Infrastructure with Terraform & GitHub Actions Just turned manual AWS deployments into fully automated CI/CD pipelines! Today was all about infrastructure automation and secure deployments. 🔧 What I Built & Automated: ✅ GitHub Actions Workflow - Automated Terraform deployments on every git push ✅ Secure Secrets Management - Configured AWS credentials via GitHub Secrets (no hardcoded keys!) ✅ Terraform Variable Management - Dynamic configuration through GitHub Actions ✅ Live Deployment Testing - Verified automated infrastructure deployments to AWS 🎯 Key Learnings: • Infrastructure as Code + CI/CD = Magic - Truly reproducible, hands-free deployments • Security First - Secrets management in CI/CD is non-negotiable (credentials never touch code!) • GitHub Actions + AWS Integration - Seamless IaC workflows that just work ⚡ The Result: My cloud infrastructure now deploys automatically with every code change - no manual console work needed! 🧩 Coming Up Next: Deploying AWS Route 53 & ACM modules with Terraform for custom domain and SSL certificate setup. #CloudResumeChallenge #AWS #Terraform #GitHubActions #DevOps #CI/CD #InfrastructureAsCode #CloudComputing #Automation

𝐌𝐚𝐤𝐞 𝐘𝐨𝐮𝐫 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐂𝐨𝐝𝐞 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐰𝐢𝐭𝐡 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦’𝐬 𝐟𝐨𝐫_𝐞𝐚𝐜𝐡! ⚡️ We all know how important infrastructure automation is. But when you need to create multiple similar resources, your code can get long and hard to manage. 𝑻𝒉𝒂𝒕’𝒔 𝒘𝒉𝒆𝒓𝒆 𝑻𝒆𝒓𝒓𝒂𝒇𝒐𝒓𝒎’𝒔 𝒇𝒐𝒓_𝒆𝒂𝒄𝒉 𝒄𝒐𝒎𝒆𝒔 𝒊𝒏 — 𝒂 𝒔𝒎𝒂𝒍𝒍 𝒇𝒆𝒂𝒕𝒖𝒓𝒆 𝒕𝒉𝒂𝒕 𝒄𝒂𝒏 𝒎𝒂𝒌𝒆 𝒚𝒐𝒖𝒓 𝒍𝒊𝒇𝒆 𝒘𝒂𝒚 𝒆𝒂𝒔𝒊𝒆𝒓! 🔹 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐟𝐨𝐫_𝐞𝐚𝐜𝐡? It’s a tool that lets you create multiple instances of the same resource dynamically — without writing the same code again and again. 🔹 𝐋𝐞𝐭’𝐬 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝 𝐰𝐢𝐭𝐡 𝐚𝐧 𝐞𝐱𝐚𝐦𝐩𝐥𝐞: 𝘳𝘦𝘴𝘰𝘶𝘳𝘤𝘦 "𝘢𝘸𝘴_𝘪𝘯𝘴𝘵𝘢𝘯𝘤𝘦" "𝘴𝘦𝘳𝘷𝘦𝘳𝘴" {  𝘧𝘰𝘳_𝘦𝘢𝘤𝘩 = 𝘷𝘢𝘳.𝘴𝘦𝘳𝘷𝘦𝘳𝘴  𝘢𝘮𝘪      = 𝘦𝘢𝘤𝘩.𝘷𝘢𝘭𝘶𝘦.𝘢𝘮𝘪  𝘪𝘯𝘴𝘵𝘢𝘯𝘤𝘦_𝘵𝘺𝘱𝘦 = 𝘦𝘢𝘤𝘩.𝘷𝘢𝘭𝘶𝘦.𝘪𝘯𝘴𝘵𝘢𝘯𝘤𝘦_𝘵𝘺𝘱𝘦 } Here, Terraform will automatically create as many instances as the entries in 𝐯𝐚𝐫.𝐬𝐞𝐫𝐯𝐞𝐫𝐬. No copy-pasting, no confusion! 💡 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬: • Short & clean code • Easily scalable & maintainable • Fewer mistakes, more automation • If you want to write smarter and more professional Terraform code, learn and use for_each! 𝐏𝐫𝐨 𝐓𝐢𝐩: Instead of repeating resources every time, apply the magic of for_each and boost your productivity! 🚀 #Terraform #for_each #InfrastructureAsCode #DevOps #CloudComputing #Automation #TechTips

The most common mistake I see in .NET enterprise builds:- treating microservices like monoliths. Teams often move to microservices for flexibility… but then tie everything together so tightly that one service crash still takes down half the system. If your services can’t deploy, fail, or scale independently, you’ve just built a distributed monolith. Start small. Define clear service boundaries. Keep APIs versioned and asynchronous. Don’t let shared databases sneak back in. True microservices = true autonomy. Curious how large-scale .NET systems can stay modular and high-performance? Let’s talk builds that don’t break. https://lnkd.in/dk8S4MQK #dotnet #SoftwareArchitecture #Microservices #EnterpriseSoftware #BackendDevelopment #TechTalk #CleanArchitecture

Recently I looked at how to setup and configure the latest version of Crossplane. In this post I'm taking a look the core feature of Crossplane; Composition, the templating system that allows platform teams to offer bespoke resources to tenants as Kubernetes CRDs. https://lnkd.in/eUP-pRqK #devops #crossplane #kubernetes #containers #platformengineering