Victoria Poromon’s Post

Curious about mirrord, but want to kick the wheels before setting it up on your real staging environment? In his article, Uthman Abdul-Lateef (DevOps God) provides a step by step, zero to hero guide for setting up and testing out mirrord on your local machine. Prerequisites: none. Well okay, having Docker installed. Find out more here: https://lnkd.in/dJCgBZK8 #mirrord #kubernetes #developm

𝐃𝐞𝐩𝐥𝐨𝐲𝐢𝐧𝐠 𝐅𝐥𝐚𝐬𝐤 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐰𝐢𝐭𝐡 𝐇𝐞𝐥𝐦 𝐨𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐏𝐫𝐞𝐫𝐞𝐪𝐮𝐢𝐬𝐢𝐭𝐞𝐬: - Basic understanding of Kubernetes concepts (Pods, Services, Deployments). - Installed Kubernetes cluster (e.g., Minikube, GKE, EKS). - Helm installed and configured. 𝐒𝐭𝐞𝐩 1: 𝐒𝐞𝐭𝐭𝐢𝐧𝐠 𝐮𝐩 𝐲𝐨𝐮𝐫 𝐅𝐥𝐚𝐬𝐤 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 ⚫ Create a simple Flask application. ⚫ Dockerize the Flask application. ⚫ Push the Docker image to a registry (optional). 𝐒𝐭𝐞𝐩 2: 𝐂𝐫𝐞𝐚𝐭𝐢𝐧𝐠 𝐚 𝐇𝐞𝐥𝐦 𝐂𝐡𝐚𝐫𝐭 ⚫Generate a Helm chart for your Flask application using helm create. ⚫Understand the structure of a Helm chart (charts/, templates/, values.yaml, etc.). ⚫Customize the Helm chart for your Flask application: - Configure Deployment settings (deployment.yaml). - Define Service specifications (service.yaml). - Set up any necessary ConfigMaps or Secrets. 𝐒𝐭𝐞𝐩 3: 𝐂𝐨𝐧𝐟𝐢𝐠𝐮𝐫𝐢𝐧𝐠 𝐕𝐚𝐥𝐮𝐞𝐬 ⚫Modify values.yaml to set environment variables, ports, and other configurations specific to your application. 𝐒𝐭𝐞𝐩 4: 𝐏𝐚𝐜𝐤𝐚𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐢𝐧𝐠 𝐭𝐡𝐞 𝐇𝐞𝐥𝐦 𝐂𝐡𝐚𝐫𝐭 ⚫ Package the Helm chart using helm package. ⚫Install the Helm chart onto your Kubernetes cluster using helm install. 𝐒𝐭𝐞𝐩 5: 𝐕𝐞𝐫𝐢𝐟𝐲𝐢𝐧𝐠 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 ⚫Check the status of your deployment using kubectl get pods, kubectl get services. ⚫Test connectivity to your Flask application. 𝐒𝐭𝐞𝐩 6: 𝐒𝐜𝐚𝐥𝐢𝐧𝐠 𝐚𝐧𝐝 𝐔𝐩𝐠𝐫𝐚𝐝𝐢𝐧𝐠 ⚫Scale your application using Helm (helm upgrade --replicas). ⚫Upgrade your application version with Helm (helm upgrade). #FlaskOnKubernetes #HelmCharts #DevOps #KubernetesDeployment #Containerization #CloudNative #Microservices #HelmDeployments #DevOpsEngineering #K8s

Dockerfile-less and Daemon-less Build Building a Docker image without requiring a Dockerfile or Docker Daemon In the ever-evolving landscape of software development, efficiency and automation are key drivers for success. Traditional Docker image building typically requires the installation of a Docker daemon, a process that can be cumbersome and restrictive, particularly in CI/CD pipelines where agility and isolation are paramount. This article explores alternatives that eliminate the need for a Docker daemon and even a Dockerfile, simplifying the image-building process. We will delve into tools like Buildpack and Kaniko, comparing their capabilities and requirements, and demonstrate how to leverage these tools to streamline your CI/CD workflows, ultimately enhancing your development productivity. https://lnkd.in/gJvNDbnU #devops #docker #buildpack #kaniko #security

Exciting updates have been released with the new versions of BuildKit, Docker Buildx CLI, and Dockerfile frontend for BuildKit (v1.7.0)! 🎉 This latest release brings several new Dockerfile capabilities that can enhance your projects. Here’s a quick rundown: Versioning: - BuildKit now supports multiple frontends, decoupling it from the Dockerfile frontend syntax. - Use the #syntax directive to specify the frontend image, like `#syntax=docker/dockerfile:1.7`. Variable Expansions: - New variable expansions like `${variable#pattern}`, `${variable##pattern}`, `${variable%pattern}`, and `${variable%%pattern}` help manipulate variable values more flexibly. - These expansions enable more sophisticated scripting within Dockerfiles, such as customizing versions and handling multi-platform builds. Copy with Parent Directories: - The new `COPY --parents` flag allows copying files while preserving their directory structure. - This feature is especially useful when dealing with complex file hierarchies or specific file selections using wildcards. Exclusion Filters: - The `--exclude` flag for `COPY` and `ADD` commands lets you exclude specific files or patterns directly in the Dockerfile. - This addition simplifies the build process by providing more control over what gets included in your build context. These new features can make your Dockerfiles more powerful and efficient, and you can start using them today by adding the appropriate `#syntax` line at the top of your Dockerfile. For more details and examples, check out the full release notes and changelogs. 🚀 You can read more here: https://lnkd.in/dMNiaY8K! #Docker #BuildKit #DevOps #SoftwareDevelopment

The Score infrastructure-centric development tool helps developers focus on getting their workload running easily and not getting distracted by infrastructure concerns. https://lnkd.in/g9_m77gA #DevOps #PlatformEngineering #Kubernetes by B. Cameron Gain

Score: New CNCF Sandbox Tool for Infrastructure-Centric Dev The Score infrastructure-centric development tool helps developers focus on getting their workload running easily and not getting distracted by infrastructure concerns. #CNCF #SandboxTool #InfrastructureAsCode #DevOps #CloudNative #Kubernetes #InfrastructureAutomation #SoftwareDevelopment #CloudComputing #NewToolAlert https://lnkd.in/diCK_CBa

🚀 Exploring the best Kubernetes local dev tools? Our article compares six, helping streamline workflows, speed up iterations, and create real environments. Perfect for devs: https://lnkd.in/dMyr2nHf #Kubernetes #DevTools Post by Ashish Choudary

👋 Hello #connections! 🌟 Let's dive into Kubernetes and clarify some key concepts: Containers, Pods, and Deployments. Here’s a breakdown: 1. 📦 Container (Docker): A Docker container is a lightweight, standalone package that includes everything needed to run a piece of software, ensuring consistency across environments. 2. 🛶 Pod (Kubernetes): Think of a pod as the Kubernetes equivalent of a Docker container, but with a twist. Pods are defined using YAML files and can contain one or more containers. Here are some cool things pods can do: 🏠 Primary Containers: The main application containers. 🚀 Init Containers: Run before the primary containers to set up necessary conditions. Example: An init container might populate a database schema before the main application starts. 🌐 Sidecar Containers: Support the main application containers with auxiliary tasks like logging or monitoring. Example: A sidecar container could run a log collector that gathers logs from the main application and forwards them to a logging service. However, pods by themselves don’t provide autoscaling or autohealing capabilities. 3. 🚀 Deployment: This is where Kubernetes gets awesome! A deployment manages pods and adds features like autoscaling (adding/removing pods based on traffic) and autohealing (restarting failed pods). While we deploy pods within a deployment, the deployment makes sure the right number of pods are always running and can update them without any downtime. Got questions 🤔? Drop them below! If you found this post helpful, smash that thumbs up👍 button! Don't forget to hit follow for more cool content. #Kubernetes #Docker #Containers #Pods #Deployments #DevOps #TechTalk

All set to add more tools to your container toolbox? Learn about the best Docker alternatives that provide developers with more freedom. #dockeralternative #dockercontainer #Mobileappdevelopment #mobileappdeveloper #remotework #outsourcingservices #aliansoftware