Arun kumar Peddapalli’s Post

🚀 **New Article Alert!** 🚀 I'm excited to share my latest blog post on Docker Containerization 🐳 In this article, I dive deep into: - The history of containers and how they evolved over time. - Why containers are crucial for modern development and deployment. - A comprehensive guide on Docker commands, building images with Dockerfile, managing multi-container apps with docker-compose.yml, and optimizing builds with .dockerignore. Whether you're just getting started with Docker or looking to refine your skills, this article has got you covered! Check it out and feel free to share your thoughts. Read here: https://lnkd.in/dzZSKWJs #Docker #Containerization #DevOps #SoftwareDevelopment #CloudComputing #Tech

Day 47 of #90daysofcloudops. Today learning is the next step in making the application deployment on K8s publically available after the configuration of replication, deployment, and the service manifest files. In the service manifest, we configure port mapping, where the created pods are mapped to the Docker service port, and each Docker container has its own unique IP address; hence, to make the service accessible, we need to use a port forwarding method. By using, $Kubectl port-forward --address node-app 8080:80 In short, we are making the application accessible on port 8080, and by using your local IP address with port 80, you could easily be able to make public access to the application. Further DNS can help you create the URL for ready-to-access application deployment. Stay tuned for more insights as we continue this #90DaysOfCloudOps journey! #CloudComputing #DevOps #Kubernetes #PortForwarding #ExternalAccess #TechLearning #90DaysOfCloudOps

#Lifecycle of applications in Kubernetes : #Kubernetes uses #pods to manage the #containers and their resources for your applications. When an application requires more resources to meet consumption or capacity demands, Kubernetes can scale up the application by creating more pods. Likewise, Kubernetes can scale down the application by deleting pods when consumption demands are low. Kubernetes also uses pods to manage the lifecycle of an application's containers. For example, if a container in a pod fails, then Kubernetes can restart the container or deploy a new pod to replace the failed one, thus ensuring that the #application is always running and available. The following figure illustrates the basic lifecycle of an application that is deployed in a Kubernetes cluster: Starts with the definition of a pod and the containers that it is composed of, which contain the application. Pods are assigned to a healthy node. Pods run until their containers exit. Pods and their containers are removed from the node.

Hello everyone Please take a moment to read my medium article titled "What happens on docker run" where I tried to discuss Docker internals. Key discussions: 1. What if Docker was not invented 2. What happens when containers are created 3. Use of Namespace, control groups in containers I’d love to hear your thoughts and feedback on the article! Your insights would be invaluable in refining and expanding the discussion on containerization and Docker. Read the full article here: https://lnkd.in/gEe5XzxU #Docker #Containerization #Tech #DevOps #SoftwareEngineering #MediumArticle #TechWriting #Containers

Today I dive deep into the core components of Docker technology: 1. Runtime - runc: This is the low-level runtime component of Docker that acts as the core building block for containers. runc is a reference implementation of the Open Containers Initiative (OCI) runtime-spec and interfaces directly with the operating system to start and stop containers. - containerd: Operating at a higher level, containerd manages the full container lifecycle, from pulling images to supervising runc instances. It is crucial for maintaining the overall health and management of containers. 2. Daemon (dockerd) - Function: The Docker daemon, dockerd, sits above containerd and offers a higher-level, easy-to-use interface for Docker functionalities. It handles tasks like managing Docker images, volumes, and networks. - Purpose: dockerd provides the standard interface that simplifies user interaction with Docker's complex underlying systems, making it more accessible and manageable. 3. Orchestrator (Docker Swarm) Simplicity: Docker Swarm provides native clustering capabilities, allowing Docker containers to be orchestrated and managed across multiple nodes. It's praised for its simplicity and ease of setup compared to Kubernetes. Use Case: While Docker Swarm is easier to manage and install, it lacks some of the advanced features and extensive ecosystem provided by Kubernetes. However, for many applications and companies, Docker Swarm's simplicity and effectiveness in managing container deployments are sufficient. #Docker # #DevOpsTools #CloudComputing #DockerTechnology #Containerization #DevOpsTools #SoftwareDevelopment #Orchestration #LinkedInPost

If you want to run a local Kubernetes cluster, you can use Kind. It is very simple to use. It uses Docker to run the cluster on your machine. Another important thing about Kind is that it can run multiple nodes and control planes. There are some other tools that can do this as well, but I found Kind to be simpler. #kubernetes

I'm embarking on a journey to learn Docker! Over the next few weeks, I'll be sharing what I learn about containers, images, and orchestration. If you're also curious about Docker or have tips, let's connect and learn together 😊 ! Docker Container Image is lightweight, standalone executable package of software that includes everything needed to run as application ->code , runtime, system tools, system libraries and settings. Containers vs Virtual Machines 1. Resource Utilisation Containers share the host OS kernel making them lighter and faster than VM's. VM's have a full fledged OS and hypervisor making them more resource intensive. 2. Portability Containers are designed to be portable and can run on any system with compatible host OS. VM's are less portable as they need a compatible hypervisor to run. 3. Security VM's provide a higher level of security as each VM has its own OS and can be isolated from host and other VM's. Containers provide less isolation as they share the OS. 4. Management Managing containers are typically easier than managing VM's as containers are designed to be light weight and fast moving. Containers are light weight because they use containerisation which allows them to share OS's kernel and libraries while still providing isolation for the application and its dependencies. Happy learning 😊 #Docker #SiteReliabilityEngineering #PerformanceEngineering #Devops Thank You 😊 Abhishek Veeramalla Vikas Yadav Sandip Das Savinder Puri Shubham Londhe

Flagger is a progressive delivery tool that automates the release process for applications running on Kubernetes. It reduces the risk of introducing a new software version in production by gradually shifting traffic to the new version while measuring metrics and running conformance tests. Flagger implements several deployment strategies (Canary releases, A/B testing, Blue/Green mirroring) using a service mesh (App Mesh, Istio, Linkerd, Kuma, Open Service Mesh) or an ingress controller (Contour, Gloo, NGINX, Skipper, Traefik, APISIX) for traffic routing. For release analysis, Flagger can query Prometheus, InfluxDB, Datadog, New Relic, CloudWatch, Stackdriver or Graphite and for alerting it uses Slack, MS Teams, Discord and Rocket. https://fluxcd.io/flagger/

Linus Torvalds’ critique of Docker offers a valuable perspective on the growing complexity and potential misuse of containerization tools in modern software development. While Docker has revolutionized workflows by simplifying application deployment, Torvalds raises an important point about the risk of over-reliance on such tools, potentially leading to inefficiencies or masking underlying issues. #dev #knowhow https://lnkd.in/eE_qdhBk

In today’s rapidly evolving IT landscape, containerization has emerged as a critical technology, offering a lightweight, efficient, and portable solution to software deployment. Docker, a leading platform in the containerization space, has revolutionized how developers build, ship, and run applications. This guide provides in-depth knowledge of how Docker works, its key components, and practical implementation steps essential for cloud and security engineers. Read More: https://lnkd.in/egdt7yBZ #Docker #Containerization #DevOps #CloudEngineering #SecurityEngineering #DockerCompose #DockerSwarm #ContainerSecurity #Microservices #CloudComputing #SoftwareDevelopment #Virtualization #DevSecOps #ITInfrastructure #DockerTutorial #TechGuide #CI_CD #Kubernetes #ApplicationDeployment #DockerImages #DockerContainers