Saif Rajhi

How easy It should be to upgrade your DB ? Very simple 1. Update the Terraform variable 2. Shutdown the apps using ArgoCD 3. Execute terraform apply 4. Start the applications up 5. Bringup the apps using ArgoCD Total time for upgrade and health check : 3 mins 😀.

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🚀 Structuring GitHub Repositories for Microservices on ECS Fargate As teams scale and embrace cloud-native architectures, organizing GitHub repositories efficiently becomes critical. In my latest video, I dive into how to design GitHub repositories for deploying microservices on AWS ECS Fargate using Terraform and GitHub Actions. 🔑 Key takeaways from the video: 1️⃣ Identify all required AWS infrastructure for your deployment. 2️⃣ Separate shared infrastructure (e.g., VPC, ALB) into a Shared AWS Infrastructure repository. 3️⃣ Use a monorepo for service-specific deployment, with Terraform configurations and GitHub Actions workflows for automation. 4️⃣ Leverage reusable Terraform modules to standardize and simplify the deployment process. 🎯 Whether you're starting from scratch or optimizing your current setup, this approach ensures modularity, scalability, and ease of maintenance. https://lnkd.in/eSS5byan #ECSFargate #GitHubActions #Terraform #DevOps #Microservices

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Troubleshooting Kubernetes Replica Scaling Issues 🚀 Kubernetes Quick Tips: Scaling Challenges & Solutions 🔍 If Scaling the replica count of a deployment wasn’t working as expected. Here are some of challenges. ⚡ Common Causes for Scaling Issues Horizontal Pod Autoscaler (HPA): An active HPA may override manual scaling commands. 🔧 Check with: kubectl get hpa. Pod Termination Delays: Pods may be stuck in the Terminating state due to resource cleanup or stuck finalizers. 🛠️ Fix: Force delete with kubectl delete pod <pod-name> --grace-period=0 --force. Resource Constraints: Namespace resource quotas or cluster node issues may prevent scaling. 🧐 Verify with: kubectl get resourcequota. Controller Conflicts: Custom controllers or other scaling tools might be managing replicas. 🔧 Steps to Resolve Scaling Issues Inspect Deployment: #kubectl describe deployment <deployment-name> Look for conflicts, pending actions, or errors. Check Pod States: #kubectl get pods Identify if pods are stuck in Pending or Terminating. Audit Events: #kubectl get events --sort-by=.metadata.creationTimestamp Review recent events for scaling-related errors. Ensure Cluster Health: #kubectl get nodes Verify all nodes are Ready. Reconcile Deployment: #kubectl rollout restart deployment <deployment-name> 🚀 Pro Tip Always validate HPA settings, check for stuck finalizers in Pod YAMLs, and monitor resource quotas when debugging scaling issues. 💡 Why It Matters Efficient scaling is critical for maintaining cost-effective and performant Kubernetes deployments. By addressing these issues, we ensure smooth operation and avoid unnecessary resource usage. What About You? Have you faced similar challenges with Kubernetes? Share your experience or tips in the comments! Let’s discuss how we can make Kubernetes troubleshooting even better. 🚀 #Kubernetes #CloudComputing #DevOps #Containers #Troubleshooting #TechTips

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Kubernetes cluster networking is drastically important because remember... Your application stacks running on Kubernetes are running on a cluster and that cluster can be communicated with both ingress/inbound and egress/outbound via the cluster. When you’re setting up cluster networking, you’ll want to ensure that you choose proper CIDR ranges and ensure you know what nodes are public and private. The internal networking for Kubernetes from a Pod perspective is managed by the Container Network Interface (CNI), but the cluster is still an entry point. Proper firewall rules, network ranges, and overall connectivity to the cluster are drastically important from both a security perspective and an overall management perspective. #kubernetes #devops #platformengineering

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Looking to land a DevOps Engineer role in Belgium? Here are my top tips! 1. **Master the tools**: Know your CI/CD pipelines, Kubernetes, Docker, and Terraform. 2. **Get certified**: AWS, Azure, or GCP certifications can give you an edge. 3. **Network locally**: Attend tech meetups and events in Brussels and Antwerp. 4. **Stay updated**: DevOps is ever-evolving, so keep learning and adapting. 5. **Tailor your CV**: Highlight relevant projects and tools you’ve worked with. What tips do you think are essential? Let me know in the comments! 💬🌍🚀 #DevOps #BelgiumJobs #CareerTips

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Hi Folks, Here is today's Byte 💡: Azure Kubernetes Service (AKS) - Expanded Node Pool Flexibility 🖥 : 🔹Supports multiple operating system versions within the same cluster's node pools, offering more flexibility when running workloads that require different OS configurations. 🔹Combine Linux and Windows nodes in the same AKS cluster, simplifying workloads that require both platforms. 🔹Automatic scaling of node pools for more efficient resource allocation and cost management. 🔹 Seamless integration with AKS features like auto-scaling, version control, and hybrid environments for better workload management. Area of Implementation 👨‍💻 : ➡ A large e-commerce platform uses AKS to run its microservices architecture, requiring both Linux and Windows-based applications. ➡  With the new AKS node pool flexibility, they can run their inventory and transaction systems on Windows, while their recommendation engine and other Linux-based services operate in the same AKS cluster, significantly reducing infrastructure complexity and improving resource efficiency. Hope you find this Byte useful, do share your suggestions for any specific topic/concept 👍 Stay tuned for the next Byte... 🤓 #AzureBytes #azure #azurecloud #microsoft #microsoftbuild #microsoftinspire #microsoftlearn #aks #kubernetes #nodepools #aksmanagement #k8s #clustering Azure Developer Community OpsTree Solutions

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𝐓𝐡𝐞 𝐏𝐨𝐰𝐞𝐫 𝐨𝐟 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 Container architecture has transformed how we build, ship, and run applications. Here's why it matters:   𝐏𝐨𝐫𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Run anywhere, consistently 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Lightweight and fast startup times 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Easy to scale up or down on demand 𝐈𝐬𝐨𝐥𝐚𝐭𝐢𝐨𝐧: Enhanced security and reduced conflicts 𝐃𝐞𝐯𝐎𝐩𝐬 𝐞𝐧𝐚𝐛𝐥𝐞𝐫: Streamlines development and operations   Whether you're using Docker, Kubernetes, or other container technologies, the benefits are clear. Container architecture is not just a trend—it's the foundation of modern, cloud-native applications.     🔍 🅳🅸🆅🅸🅽🅶 🅳🅴🅴🅿:   Client Runtime Registry in Container Architecture Often overlooked but crucial to container ecosystems, the client runtime registry plays a vital role in managing containerized applications. Here's what you need to know:   𝐃𝐞𝐟𝐢𝐧𝐢𝐭𝐢𝐨𝐧:: It's a component that pulls, stores, and manages container images on the client-side. 𝐊𝐞𝐲 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧:  • Caches images locally for faster deployment  • Manages image layers efficiently  • Handles authentication for private registries 𝐏𝐨𝐩𝐮𝐥𝐚𝐫 𝐄𝐱𝐚𝐦𝐩𝐥𝐞𝐬: • containerd (used by Docker and Kubernetes) • CRI-O (optimized for Kubernetes) 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬: • Improved performance in image operations • Enhanced security through image verification • Better resource management on host systems   Understanding the client runtime registry is crucial for optimizing your container deployment pipeline. It's the unsung hero ensuring smooth, secure, and efficient container operations. Have you considered the impact of your client runtime registry choice on your container architecture? Share your thoughts! #ContainerArchitecture #DevOps #ClientRuntimeRegistry #CloudNative

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Mandatory Outline for Writing the Terraform Block. Required Terraform Version: Terraform version in configuration file, need to include the terraform block with the required_version attribute. This ensures that the configuration is only applied if the Terraform CLI version meets the specified criteria. Specifying providers is essential for defining the infrastructure resources from various platforms AWS. that it can manage. how to configure and specify providers in your Terraform configuration. Backends are used to store the state of your infrastructure. A backend defines where Terraform's state snapshots are stored. This allows multiple users to work on the same infrastructure, ensures consistency, and enables state locking. Here are the key points to understand about Terraform backends. Terraform occasionally introduces experimental language features to allow users to try new capabilities and provide feedback before they become stable. Here's how you can use and understand these experimental features. Configuring providers in Terraform, might need to pass metadata or additional configuration settings to customize their behavior.

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🔐 Top Terraform State File Best Practices 🌍🚀 When managing your infrastructure with Terraform, securing and managing the state file is essential. Here’s how to keep your state file safe, consistent, and resilient: 1) 🌐 Use a Remote Backend: Store your Terraform state file in a remote backend like AWS S3, Azure Blob Storage, or Terraform Cloud. This centralizes state management, enables seamless team collaboration, and prevents conflicts with state locking 🔒. 2) 🔄 Enable Versioning & 🔒 Encryption: Set up versioning on your remote backend to easily roll back any changes. Ensure encryption is enabled to protect sensitive data from prying eyes 🛡️. 3) 🚫 Avoid Local State Files: Don’t store the state file locally! A remote backend reduces the risks of file loss or corruption and ensures your infrastructure is always in sync 📂➡️☁️ 4) 🙅♂️ Keep State Files Out of Version Control: Add the state file to .gitignore to avoid accidentally committing sensitive information to your repository 🚫🗃️. 5) 🔑 Control Access & 🕵️♂️ Audit Regularly: Restrict access to the state file to authorized personnel only, and conduct regular audits to ensure everything remains secure 🔍✅. What practices do you follow to manage your Terraform state file? Share your tips and experiences in the comments! 💬👇 By implementing these best practices, you'll ensure your Terraform state file is secure, reliable, and ready to support your infrastructure's needs! 🌟 Consider a repost if you like this this. Please like share and follow Arbaz Mohammed #Terraform #DevOps #CloudComputing #InfrastructureAsCode #BestPractices #CloudSecurity #Automation #ITOps #Azure

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Insightful. Additional insight in the comments #kube-startup-cpu-boost. Especially for Java apps which requires high cpu at startup up

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Post 17 of Series: "How to Explain Kubernetes to a 5-year-old" 🌞How to Explain the K8s Disaster Recovery to a 5 Year Old ?🌞 Imagine you are gifted with your special toy car; you are personalising (Colouring and attaching Sticker) it as per your needs. Suppose one day while playing the car tyre suddenly got lost; Now it will not be fun to ride it but luckily your father has kept the spare wheel tyre for this very day so that you can recover your toy car's busted wheel with the spare one. Also from now on, you make sure to check your toy car before playing and keep extra parts handy, just in case something breaks again. Similarly the Disaster Recovery in K8s helps you to keep running the application as smoothly as it was earlier. 🤗 Analogies: 🤗 Toy Car ==> Pods running the Application Personalising Car ==> Refers to the efforts of customising the application according to changes required. Tyre Burst / Flat Tyre ==> Disruptions caused in the Applications due to new Configurations or Crashes / Data Loss caused due to unforeseen circumstances. Spare Tyre ==> It is just like the backup solution that we can have to recover from the disaster in some unforeseen circumstances with certain backup strategies and tools. Replacing Flat Tyre ==> Restoring the services or applications to restore its previous working state, recovering after the failure. Having Extra Parts ==> Reflects the importance of having the scheduled backups and being prepared for the worst case to ensue smooth sailing of the applications. 🔥 Points to Notice 🔥 - The backup of the application lies within the ETCD; so its essential to have a backup of that; further if we have the stateful sets we will need a backup of the persistent volumes as well. - The Scenarios to recover from could range from someone accidentally deleting the namespace where deployment lies, replicating the prod environment into the staging environment, migrating the cluster from one environment to another. - Some popular tools which could be used for having the Data Recovery are like follows; a. Velero (Along with backup it provides migration between cluster or cloud providers) b. Stash (Supports backing up range of Databases and Applications, flexible restore options) c. Rook with Ceph (Supports Data Replication with HA for Persistent Storage) and many more... 🔥 Conclusion: 🔥 The car analogy illustrates the concept of disaster recovery in a way that's relatable. Just as you maintain and repair your toy car to keep it running, organisations need to implement strategies to protect and quickly recover their applications in Kubernetes to minimise downtime and data loss. If you feel this is helpful; then a REPOST is appreciated! For more such Dope Knowledge Bits Follow: Aditya Dhopade 👨‍💻 Check out this awesome series: https://lnkd.in/dZsseZUY  

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🚀 Simplify Configuration Management in Kubernetes with Stakater's Reloader 🚀 (Tired of manual updates and downtime?) Managing configurations in a Kubernetes environment can be challenging, especially with dynamic settings. Stakater's Reloader makes this seamless and efficient. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐒𝐭𝐚𝐤𝐚𝐭𝐞𝐫'𝐬 𝐑𝐞𝐥𝐨𝐚𝐝𝐞𝐫? Reloader is an open-source Kubernetes controller that monitors changes in ConfigMaps and Secrets and triggers a rolling update of the dependent pods. Your applications always run with the latest configurations—no manual intervention needed. 𝐖𝐡𝐲 𝐔𝐬𝐞 𝐑𝐞𝐥𝐨𝐚𝐝𝐞𝐫? 1. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐜 𝐔𝐩𝐝𝐚𝐭𝐞𝐬: Eliminates manual restarts, reducing operational overhead. 2. 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐄𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Ensures minimal downtime by automating the reloading process. 3. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐑𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Maintains consistency across your application deployments.  𝐆𝐞𝐭𝐭𝐢𝐧𝐠 𝐒𝐭𝐚𝐫𝐭𝐞𝐝 - 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧: Add Reloader to your Kubernetes cluster using Helm or kubectl. - 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐚𝐭𝐢𝐨𝐧: Annotate your deployments with `https://lnkd.in/gpNW56sR to specify which ConfigMaps and Secrets to watch. - 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Sit back and let Reloader handle the rest!  𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 - 𝐍𝐚𝐦𝐞𝐬𝐩𝐚𝐜𝐞 𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜: Use namespace-specific annotations for better control. - 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Monitor resource usage to ensure Reloader operates efficiently. Stakater's Reloader is a game-changer for managing Kubernetes configurations. It streamlines updates, minimizes manual tasks, and enhances system reliability. 👉 Check out the [GitHub repository](https://lnkd.in/g4ytghAu) to get started! #Kubernetes #DevOps #ConfigurationManagement #OpenSource #StakaterReloader P.S. What's your biggest pain point with Kubernetes configuration management? Let's discuss in the comments! ♻️ Repost this to your network. Thank you!

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Use terraform fmt for Consistent Code Formatting Why? Keeping your Terraform code consistently formatted improves readability and makes collaboration easier. The terraform fmt command automatically formats your configuration files to follow a standard style, eliminating inconsistencies like misaligned indentation or mixed tabs and spaces. How to Use: Run terraform fmt in the root directory of your Terraform project This command will automatically format all .tf files in the current directory and its subdirectories. Benefits: Consistency: All Terraform code looks uniform, which reduces errors and makes it easier to review. Collaboration: When everyone uses the same formatting, merging changes becomes smoother, with fewer conflicts. How do you ensure your Terraform code remains clean and consistent? Do you rely on terraform fmt, or do you have other strategies or tools in your workflow? Share your tips and tricks for maintaining code quality! Consider a repost if you like this post. Please follow Arbaz Mohammed for more such tips. #Terraform #Devops #Cloud #Azure #Aws

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Terraform's Import block functionality will help give a lot of companies the ability to bring their existing infrastructure under a unified code base. Now with the ability to use for_each inside their import block this video shows a cool way to utilize that feature to build on top of your existing pipelines without having to re-engineer anything.

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🖥 Understanding Kubernetes API Structure 💻 At the heart of Kubernetes is its API, the control panel that makes everything work seamlessly. The Kubernetes API handles all communication between your applications and infrastructure. Here’s how it works: - API Server: This is the central gateway, processing all requests (e.g., from kubectl) and ensuring changes are correctly applied. - Resources: Everything in Kubernetes (like pods, services, or deployments) is a resource that the API manages. - Endpoints: Every resource has an endpoint (like /api/v1/pods) where you can send requests to create, read, update, or delete them. - API Groups: Kubernetes organizes resources into API groups (e.g., core, apps, batch). These groups help structure and manage related resources efficiently. For example, the apps group handles deployments, while batch manages jobs and cron jobs. From scaling apps to automating deployments, it all happens through the API. That's what makes Kubernetes so flexible and powerful. Also, check out my post on "How API Really Works" here(link in the comment section) ~~~ Infographics - you most likely to remember what you visualized ~~~ ♻ Repost to help others find it, sharing is caring 💾 Save this post for future reference #Kubernetes #API #CloudComputing #TechExplained

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