Simplifying GitOps with ArgoCD and Flux for Kubernetes

Docker and Kubernetes are often mentioned together — but they solve different problems.   𝗗𝗼𝗰𝗸𝗲𝗿 Packages your application and everything it needs into a container. Think of it as a box that runs the same way everywhere — your laptop, staging, production.   𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 Manages those containers at scale. When you have 10, 50, or 500 containers — Kubernetes decides where they run, restarts them when they crash, and balances traffic between them.   Simple analogy: → Docker = shipping container (packages the cargo) → Kubernetes = the port (manages where every container goes)   You can use Docker without Kubernetes. You can't use Kubernetes without containers.   Start with Docker. Understand containers first. Then Kubernetes makes much more sense.   #Docker #Kubernetes #DevOps #CloudEngineering #ContainerOrchestration

We just published a new blog post on our GitOps journey - and how it led us to building our own operator: Espejote. From Ansible playbooks to a jungle of operators, bash reconcilers and plenty of lessons learned along the way - this is the story of how we ended up building something that finally fits our needs. Espejote combines GitOps principles with in-cluster state, powered by Jsonnet and native server-side apply. Built for flexibility, reliability and real-world operations at scale. If you're working with Kubernetes, GitOps or platform engineering, this might resonate 🙂 👉 Read the full story: https://lnkd.in/d29EEvtT #Kubernetes #GitOps #PlatformEngineering #DevOps #CloudNative #OpenSource

We just published a new blog post on our GitOps journey - and how it led us to building our own operator: Espejote. From Ansible playbooks to a jungle of operators, bash reconcilers and plenty of lessons learned along the way - this is the story of how we ended up building something that finally fits our needs. Espejote combines GitOps principles with in-cluster state, powered by Jsonnet and native server-side apply. Built for flexibility, reliability and real-world operations at scale. If you're working with Kubernetes, GitOps or platform engineering, this might resonate 🙂 👉 Read the full story: https://lnkd.in/d29EEvtT #Kubernetes #GitOps #PlatformEngineering #DevOps #CloudNative #OpenSource

Kubernetes Basics Made Simple Kubernetes manages containerized applications by organizing them into Pods, exposing them through Services, and controlling them with Deployments. 🔹 Pods run one or more containers together as a single application unit 🔹 Services provide a stable way to access those Pods, even as they change 🔹 Deployments ensure the right number of Pods are running and handle updates without downtime Understanding these three core components is the foundation of building scalable, reliable applications in Kubernetes. Save and revisit this; these basics power everything in K8s. #Kubernetes #DevOps #CloudComputing #devopseasylearning

Migrated a monolith to Kubernetes. Here's what that actually looked like: • Containerized services with Docker • Deployed on K8s with Helm charts • Added Istio for service mesh and mutual TLS • Set up ArgoCD for GitOps-based deployments • Built monitoring with Prometheus + Grafana End result: zero-downtime cutover, auto-scaling under real traffic, and a deployment process the whole team trusted. The tech was the easy part. Getting everyone aligned on the new workflow — that was the real migration. #Kubernetes #Docker #DevOps #SRE #Microservices #CloudEngineering

🔹 Docker & Kubernetes — Simple Definitions Docker is a platform that allows developers to package applications and their dependencies into lightweight, portable containers, ensuring they run consistently across different environments. Kubernetes is an open-source container orchestration system that automates the deployment, scaling, and management of containerized applications. 💡 In short: Docker helps you create and run containers, while Kubernetes helps you manage and scale them efficiently. #Docker #Kubernetes #DevOps #CloudComputing #SoftwareDevelopment

Understanding the difference between Dockerfile and Docker Compose is key to building scalable applications A Dockerfile helps you create a single container image, while Docker Compose lets you manage and run multi-container applications seamlessly. Mastering both makes development, deployment, and scaling much more efficient. #Docker #DevOps #CloudComputing #Microservices #Containerization #SoftwareDevelopment #TechLearning

🚀 Simplify your workflow with CI/CD using GitHub Actions Automate your build, test, and deployment processes seamlessly — no complexity, just efficiency. With GitHub Actions, you can streamline your entire delivery pipeline, reduce errors, and ship faster with confidence. Start small, iterate fast, and let automation do the heavy lifting. 💡 #CICD #GitHubActions #DevOps

Ever wondered why your Kubernetes Service is sending traffic to pods it shouldn't? 🛑 The common trap is forgetting that selectors use strict "AND" logic—a pod must have every label in the selector to be included. If you’re dealing with repetitive labels across 6 different pods, adding just one specific key-value pair like status: canary can be the difference between a successful deployment and a routing mess. I’ve found that the fastest way to debug this is running kubectl get endpoints to see exactly which IPs are being picked up. It's a small check that saves hours of troubleshooting! #Kubernetes #CloudNative #DevOps #BackendDeveloper #BuildInPublic

𝐈𝐟 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐮𝐬𝐢𝐧𝐠 𝐇𝐞𝐥𝐦 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐓𝐇𝐈𝐒, 𝐲𝐨𝐮’𝐫𝐞 𝐦𝐚𝐤𝐢𝐧𝐠 𝐥𝐢𝐟𝐞 𝐡𝐚𝐫𝐝𝐞𝐫! I always try to stay 𝐃𝐑𝐘 (do not repeat yourself) when writing my 𝐘𝐀𝐌𝐋 files in Kubernetes. When it comes to Helm, there are 2 main things to understand: 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬, which are Kubernetes manifest files that actually create your deployments, services, and other resources. And a 𝐯𝐚𝐥𝐮𝐞𝐬 𝐟𝐢𝐥𝐞, which provides input to those templates so you don’t have to hardcode everything. It’s similar to variables in Terraform. Define once, use everywhere. #devops #kubernetes #helm #terraform #cloudengineering