Linode’s Post

How to enable a new cluster quickly and efficiently using GitOps, Flux, and Linode Kubernetes Engine: https://lin0.de/BKkA3l #DistributedCloud

How to enable a new cluster quickly and efficiently using GitOps, Flux, and Linode Kubernetes Engine: https://lin0.de/54qosH #DistributedCloud

Hello Everyone, This is my new project based on- Orchestrating Scalable Infrastructure: Deploying a High-Concurrency Two-Tier Application on Kubernetes Project Overview: Successfully orchestrated the deployment of a two-tier application built on Flask and MySQL, geared towards efficiently handling 100,000 concurrent users while adhering to best DevOps practices. Actions Taken: Utilized Docker and Docker-compose for containerization, ensuring portability and consistency across environments. Published Docker images to DockerHub for version control and ease of deployment. Automated the setup of Kubernetes clusters using Kubeadm, and subsequently transitioned to AWS EKS with eksctl for enhanced fault tolerance and scalability. Leveraged HELM to package Kubernetes manifests, streamlining deployment processes and enabling seamless scaling of resources. Implemented a multi-node Kubernetes cluster configuration to guarantee high availability, complemented by Load Balancer integration for efficient traffic distribution. Results Achieved: Enhanced application scalability, accommodating up to 10,000 concurrent users, marking a significant improvement. Substantially reduced downtime by 60% through the adoption of AWS Managed Elastic Kubernetes Service (EKS), ensuring robustness and reliability in production environments. #DevOps #Kubernetes #AWS #EKS #Containerization #FlaskMySQL #Scalability #HighAvailability #LoadBalancing #Docker

I recently stumbled across an interesting article discussing the question if Kubernetes is the future of container orchestration or just a fad? On the plus side of Kubernetes: It's widely adopted, powerful, and offers features like service discovery, load balancing, and self-healing. But Kubernetes also has some downsides or risks: It can be complex and might not be the best long-term solution due to its ever-increasing complexity. What could the future of Kubernetes involve? Here are some ideas: Kubernetes 2.0: An improved version of Kubernetes addressing current shortcomings. Multi-Runtime Support: Kubernetes supporting different runtime environments besides containers. Focus on User Experience: Making Kubernetes easier to use and debug for developers. What do you think? Is Kubernetes here to stay? #kubernetes #containerorchestration #devops Here is the full article: https://wllw.co/bpy8coDqh

Speedscale addresses the challenges of scaling Kubernetes in a microservices and containerized, ephemeral environment. This includes real-traffic replays and service mocking to find bottlenecks and tune production and development environments. This episode sponsored by SpeedScale https://bit.ly/46KFWbY Insights on Scaling Kubernetes 🔍 Speedcale helps developers figure out if their code is about to blow up before pushing it into production by creating production conditions in their staging environments and local development machines.🌐 Kubernetes enables teams to build microservice architectures, breaking the monolith into pieces and allowing for individual scaling of each component.🚀 The ability to make small code changes and quickly push them to production with Kubernetes provides a time to market advantage for companies.🚀 Speed and scale are key capabilities for teams testing their code in Kubernetes environments, not just for simulating production.📊 Monitoring data and load testing are crucial for defining the memory and CPU needs of workloads in Kubernetes environments.🚀 Scaling Kubernetes clusters can be challenging, but innovations like Carpenter can help manage node sizing and resource allocation effectively.🔍 Using production monitoring data from tools like New Relic and DataDog can help in tuning production and non-production environments for Kubernetes and microservices.🔮 Mocking out dependencies with one command line tool can revolutionize the development process and improve developer satisfaction. 🔥 Like and Subscribe 🔥 Connect with me 👋TWITTER ► https://lnkd.in/gRPhDehk COMPANY ► https://lnkd.in/grYcEK6x PROFILE ► https://bit.ly/30Eshp7 Want to support the show? Buy Me A Coffee! https://bit.ly/3NadcPK 🔗 Links: Scott Moore Consulting: https://lnkd.in/e2y_Fjs The Performance Tour: https://lnkd.in/dx7UZSYh SMC Journal: https://smcjournal.com DevOps Driving: https://devopsdriving.com Security Champions https://lnkd.in/dmv-egzj

Docker Swarm vs. Kubernetes – Key Differences Explained #DockerSwarm #Kubernetes #ContainerOrchestration #CloudNative #DevOps #Containerization #Microservices #CloudComputing #K8sVsSwarm #OrchestrationTools https://lnkd.in/g26WrKmK

Hello Folks 👋 🚀 Mastering Docker Swarm 🚀 Container orchestration is a key skill for managing scalable, distributed applications, and Docker Swarm makes it simpler than ever to deploy and manage containerized services. In my recent exploration of Docker Swarm, I was fascinated by how it enables high availability and load balancing with just a few commands! Here’s a quick task to help you get started: 💡 Task: Create Your First Docker Swarm Cluster 1️⃣ Initialize a Swarm Cluster: docker swarm init 2️⃣ Add Worker Nodes Use the join token provided by the manager node: docker swarm join --token <token> <manager-ip>:2377 3️⃣ Deploy a Web Service Deploy an Nginx service with 3 replicas: docker service create --name web-app --replicas 3 -p 8080:80 nginx 4️⃣ Test Scaling Scale the service to 5 replicas with: docker service scale web-app=5 5️⃣ Access the Application Open your browser and visit: http://<manager-ip>:8080 Docker Swarm ensures that your application is load-balanced and highly available across nodes. 💻✨ #DockerSwarm #DevOps #ContainerOrchestration #LearningByDoing #AWS

🚀 Exciting Update on My Recent Project: Inception-Of-Things! 🚀 I'm thrilled to share the progress on Inception-Of-Things, a comprehensive project I worked on with my amazing team as part of the 42cursus advanced projects. This hands-on journey gave us invaluable experience in Kubernetes and cloud-native technologies. The project is structured into multiple parts, each emphasizing Kubernetes deployment and CI/CD workflows, leveraging tools like Vagrant, K3D, and GitLab. 🔧 Project Highlights: Part 1: Multi-node k3s cluster setup using Vagrant (Master/Worker nodes). Part 2: Single-node k3s cluster hosting web apps with high availability and zero downtime. Part 3: K3D multi-node cluster integrated with Argocd for seamless CI/CD capabilities. Bonus: Full GitLab integration for repository management and advanced CI/CD workflows. 💻 Explore the Code: Check out the full implementation on GitHub: https://bit.ly/49f6yDi 💡 What's Next? I’m excited to announce that Inception-Of-Things is evolving further! The next phase, TheNext-IOT, will integrate cutting-edge tools like Ansible and Terraform, enhancing automation and scalability through Infrastructure-as-Code (IaC). Stay tuned for updates as we push the boundaries of cloud and infrastructure automation! 🌐⚡️ #Kubernetes #CI_CD #CloudComputing #InfrastructureAsCode #Terraform #Ansible #GitLab #K3S #K3D #42cursus #TechInnovation #DevOps

🧐 What experts say about Cycleops? ♾️ DevOps Engineer Hein Htet Win focused on deployment automation in his recent article, mentioning our software Cycleops, as a solution to simplify deployment. 👉 Read his insightful article to learn how to deploy docker containers in a platform agnostic way: https://lnkd.in/eRUPuFNR #Cycleops #DeploymentAutomation #DevOps #Docker #Automation

🌟 Day 70 of #90DaysOfDevOps Challenge with Shubham Londhe Terraform Modules Mastery! 🌟 Today, I dove deep into Terraform Modules—one of the most powerful features of Infrastructure as Code (IaC). Modules allow you to organize and reuse your infrastructure in a scalable and efficient way. Whether it's creating multiple EC2 instances or setting up complex VPCs, modules simplify everything by making your Terraform code modular, reusable, and easy to maintain. 🚀 🔍 Here's what I learned: The difference between Root and Child Modules. How to use modules to avoid code repetition and improve scalability. Whether Modules and Namespaces are the same (spoiler: they’re not 😉). Excited to apply this knowledge in real-world projects and optimize infrastructure with Terraform. 🙌 Check out my latest blog for more information: 👉 https://lnkd.in/g6R2bq27 #DevOps #Terraform #CloudComputing #InfrastructureAsCode #IaC #Automation #AWS #LearningByDoing #TechJourney