Quema ’s Post

Managing Kubernetes Got You Feeling Like a Juggler? 🤹♂️ Ever felt like you’re trapped in a circus act with a dozen tools and dashboards just to keep your Kubernetes clusters in check? 🎪📊 You're not alone! ✋ This is the reality for many of us, and it can feel like we're spending more time managing our tools than actually building awesome applications. 🛠 🏗 Me: ▪ Trying to coordinate ArgoCD, Grafana, Prometheus, Helm, Jenkins..(🛠️🔄) ▪ Juggling notifications, metrics and deployments like a circus performer on a unicycle. 🤹♂️ Vs. Me with Devtron: ▪ Focusing on my Business Goals 📈💼 ▪ Thanks to a single-pane dashboard that makes managing Kubernetes as easy as pie. 🥧✨ With Devtron, say goodbye to the chaos & hello to streamlined efficiency. 🚀 It lets you build, deploy, monitor and automate your Kubernetes environment with ease while maintaining tight control over security & access. 💪 🧩 Power up with Devtron and let your business goals take center stage! #Kubernetes #DevOps #TechLife #Devtron #efficiency #BusinessGoals #TechHumor #memes #streamline #tools #innovation #efficiency #devs

We're thrilled to announce the availability of a suite of DevOps tooling that brings the flexible principles of modern CI/CD deployments to Fauna’s enterprise operational database. Through the Fauna Schema Language (FSL), a modern Command Line Interface (CLI), and robust integrations with GitHub and GitLab, Fauna's Schema as Code approach allows developers to apply IaC-like design patterns to the schema layer. These features enable builders on Fauna to match the rapid pace of application creation, ensuring seamless and automated schema-level changes. This is critical for engineering teams focused on scaling and improving applications at every stage. Check out our blog to learn how Fauna’s Schema as Code approach helps development teams move faster with less risk: https://buff.ly/3G2QpmB #DevOps #SchemaAsCode #DatabaseAsCode

The "Schema as Code" story for Fauna is coming together. GitHub, GitLab, and similar platforms have become the central integration point for modern software development. FSL and our CLI updates allow you to put your database schema in your VCS alongside your application source code where it belongs, manage it with your existing PR workflows, and treat Fauna as just another deployment target in your CI/CD pipelines.

Deploying an API Gateway to #kubernetes with #argocd. This makes it simple to manage dependencies, expose APIs, monitor and update the gateway using ArgoCD A really useful guide from Carlos Villanúa Fernández of Tyk

Only one hour left until our two-part Huddle in the Unified Insights series begins! Join us for “Measuring GitHub Copilot's Downstream Impact with DORA” to learn how Opsera Unified Insights bridges reporting gaps by consolidating data from all your tools, teams, and environments to enhance decision-making while implementing DORA. The Opsera team is ready to cover Opsera’s GitHub Copilot report, gathering and measuring DORA metrics, and improving the Developer Experience. Don’t miss out! Register now: https://hubs.la/Q02DBC7N0 #DORA #DORAMetrics #MTTR #Insights #DevOps #Visibility #CICD #LeadTime #GitHub #Opsera Subscribe to our YouTube channel to watch our latest DevOps Huddles 🎥: https://hubs.la/Q02DBBp10

🚀 Navigating And Managing Kubernetes With Devtron 🚀 Are you ready to take your Kubernetes game to the next level? Buckle up, because we're diving deep into the world of Kubernetes management with Devtron! 🌟 In the latest blog post penned by Michael Levan, he shares everything you need to know about managing Kubernetes clusters like a pro. Whether you're dealing with one cluster or handling multiple clusters like a champ, Devtron has got covered. 💪 👀 What's inside: 🎯 Deploying Devtron: Learn how to deploy Devtron using Helm Charts, making your Kubernetes setup a breeze. With just a few simple commands, you can have Devtron up and running, ready to streamline your operations. ⚙️ 🎯 Managing Clusters: From existing clusters to adding new ones, Devtron's intuitive dashboard puts you in control. 🌐 🎯 Accessing and Managing Resources: Explore the Resource Browser, where you can manage K8s resources with ease. Monitor nodes, track events and navigate namespaces effortlessly. 🛠️ 🎯 Creating Kubernetes Resources: Create Kubernetes resources directly from the dashboard. Say goodbye to manual deployments and hello to efficiency! 💡 🎯 Helm Chart Deployments: With Devtron's Chart Store, you can deploy Helm Charts, customize settings and streamline your application stacks. 🚀 Ready to take control of your Kubernetes deployments? 🔗 Dive into the full blog post here: https://lnkd.in/g2-TASWb #Kubernetes #DevOps #Devtron #cloudnative #deployment #migration #adoption #management #devs #scale #architecture #clusters

And my second tech post! Argo Project deploying Tyk! A year back I saw a video from Hugo Guerrero deploying applications in #kubernetes using #argocd and since then I have been wanting to use it and document it. In this blog post I explain how to deploy and manage your Tyk stack and dependencies on Kubernetes with ArgoCD: -Deploy Tyk, in ArgoCD -Configure Tyk to expose your APIs -Monitor and update Tyk with ArgoCD You’ll have a working #apimanagement platform on Kubernetes, deployed and monitored by ArgoCD. You’ll also see how ArgoCD can help you with continuous delivery and consistency. Interested? Read the full blog post here! https://lnkd.in/dGmzrG9K

🌟 Demystifying Kubernetes: Understanding its Core Components 🌟 Hello, LinkedIn family! 🚀 Today, I'm taking you on an exciting journey into the heart of Kubernetes (K8s) - the game-changer in container orchestration. Let's unravel the mysteries of its core components in a fun, relatable way! 🧱 Nodes: Picture these as the Lego blocks of a K8s cluster. Each node, be it a beefy server or a sleek virtual machine, is a fundamental part that runs K8s. Think of them as two squads: the strategic Masters (control plane) and the hardworking Workers. 🎖️ Master Node: This is the mission control, the place where all the big decisions are made. Its crew includes: - API Server (The Maestro): The conductor orchestrating all operations. Imagine a maestro in an orchestra, ensuring every instrument (component) is in perfect harmony. - Controller Manager (The Executor): This one keeps a vigilant eye on the cluster's health and state. Think of a superhero who ensures everything works just as it should. - Scheduler (The Traffic Cop): This savvy strategist decides which node will run a specific pod. Imagine a traffic cop, directing the flow of cars (pods) efficiently. - etcd (The Guardian): The keeper of all cluster wisdom. This key:value database stores everything the cluster knows, like a wise old sage guarding ancient secrets. 🛠️ Worker Nodes: Here's where the action happens! These nodes get things done, running your apps and workloads. - Kubelet (The Captain): Following orders from The Maestro, this component ensures everything runs smoothly on board. Imagine a ship's captain, skillfully navigating through the seas. - Kube-Proxy (The Postman): This one's all about connections, ensuring smooth communication between pods and the outside world. Picture a postman, delivering letters (data packets) to the right addresses. - Container Runtime Engine (The Worker): The muscle behind the operation, running the containers. Think of a dedicated worker, tirelessly executing tasks. And there you have it! Each part of Kubernetes plays a vital role in this orchestrated dance of technology. 🕺💻 Feeling more familiar with the K8s crew? Share your thoughts and experiences, and let's keep learning together! 💡👩💻👨💻 #Kubernetes #TechCommunity #ContainerOrchestration #TechFun #devops

🚀 Excited to kick off Day 33 of our DevOps-K8s exploration! 💠 Unlock the potential of Kubernetes Service Accounts for seamless application deployments! Let’s explore Service Accounts in Kubernetes, backed by a practical example to illustrate their significance. 🔍 Understanding Service Accounts: Service Accounts are Kubernetes resources used to authenticate and authorize applications running inside pods to interact with the Kubernetes API. They provide a secure way for applications to access Kubernetes resources without exposing sensitive credentials. 📋 Example: Imagine you’re deploying a microservice architecture on Kubernetes. Each microservice requires access to specific resources like pods, secrets, or config maps. Instead of embedding credentials directly into the application code, you can use Service Accounts to grant access securely. 🔐 Creating a Service Account: apiVersion: v1 kind: ServiceAccount metadata:  name: my-service-account 🔑 Using the Service Account: Once the Service Account is created, you can assign it to pods within your deployment configuration: apiVersion: apps/v1 kind: Deployment metadata:  name: my-deployment spec:  replicas: 3  selector:   matchLabels:    app: my-app  template:   metadata:    labels:     app: my-app   spec:    serviceAccountName: my-service-account    containers:    - name: my-container     image: my-image:latest     ports:     - containerPort: 8080 In this example, the Service Account my-service-account is associated with the pods belonging to the deployment my-deployment. Now, any application running within these pods can access Kubernetes resources using the credentials provided by the Service Account. 💡 Benefits: • Enhances security by avoiding hardcoded credentials in application code. • Facilitates granular access control to Kubernetes resources. • Simplifies management of access credentials for multiple applications. Empower your Kubernetes deployments with Service Accounts for enhanced security and efficiency! Share your thoughts and experiences in the comments below. #Kubernetes #DevOps #ServiceAccounts #CloudNative #Security #devopstools #devopscommunity #devopslearning 

𝐃𝐢𝐧𝐃 𝐒𝐰𝐚𝐫𝐦. 💣 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐢𝐧𝐟𝐨 👇 Discover how I orchestrated a 𝐃𝐨𝐜𝐤𝐞𝐫 𝐒𝐰𝐚𝐫𝐦 cluster in 𝐃𝐢𝐧𝐝 using 3 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐚𝐧𝐝 3 𝐰𝐨𝐫𝐤𝐞𝐫 𝐧𝐨𝐝𝐞𝐬, creating a 𝐫𝐨𝐛𝐮𝐬𝐭 𝐚𝐧𝐝 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞 environment with cost effectiveness. 🔰 Learn the intricacies of launching services, and witness the magic of deploying applications seamlessly across the swarm. To enhance 𝐚𝐜𝐜𝐞𝐬𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲, I introduced 𝐇𝐀𝐏𝐫𝐨𝐱𝐲, configuring it to streamline communication with the 𝐜𝐥𝐮𝐬𝐭𝐞𝐫'𝐬 𝐦𝐚𝐧𝐚𝐠𝐞𝐫 𝐧𝐨𝐝𝐞𝐬. Dive into the future of container orchestration with this dynamic exploration! 🐳🚀 𝐀𝐧𝐝 𝐈 𝐰𝐨𝐮𝐥𝐝 𝐥𝐢𝐤𝐞 𝐭𝐨 𝐭𝐡𝐚𝐧𝐤 𝐦𝐲 𝐦𝐞𝐧𝐭𝐨𝐫 Vimal Daga 𝐒𝐢𝐫 𝐟𝐨𝐫 𝐚𝐥𝐰𝐚𝐲𝐬 𝐩𝐫𝐨𝐯𝐢𝐝𝐢𝐧𝐠 𝐯𝐚𝐥𝐮𝐚𝐛𝐥𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. 🙇♂️ #Docker #SwarmCluster #HAProxy #containerorchestration #clustermanager #learningeveryday