🚀 Demystifying Docker, Containers, and Images! 🐳

In today's fast-paced world of software development and deployment, Docker has emerged as a game-changer, revolutionizing the way we build, ship, and run applications.

🔣 Let's break down the key concepts of Docker, Containers, and Images to uncover their significance in modern software development:

🐳 What is Docker?

Docker is an open-source platform that simplifies the process of building, shipping, and running applications within containers. It provides a lightweight, portable, and scalable environment for deploying applications across different computing environments, from development to production. With Docker, developers can package their applications and all their dependencies into a single unit called a container, ensuring consistency and reproducibility across various deployment targets.

📦 What is a Container?

A container is a lightweight, standalone, and executable package that contains everything needed to run a piece of software, including the application code, runtime, system tools, libraries, and settings. Containers leverage operating system-level virtualization to isolate the application environment from the underlying infrastructure, making them highly portable and efficient. They provide a consistent runtime environment across different platforms, enabling developers to build once and run anywhere.

🖥 What are Images?

An image is a read-only template used to create containers. It serves as a blueprint for defining the filesystem and configuration of a containerized application. Docker images encapsulate all the necessary components, including the operating system, runtime, libraries, dependencies, and application code, in a standardized format. Images can be shared, versioned, and distributed via Docker registries, making it easy to collaborate and deploy applications across diverse environments.

💡 Key Takeaways:

➡️Docker simplifies application deployment by leveraging containers to encapsulate and isolate software environments.

➡️Containers provide lightweight and portable runtime environments that ensure consistency and reproducibility across different platforms.

➡️Docker images serve as immutable templates for creating containers, facilitating seamless application packaging, distribution, and deployment.


✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

𝘾𝙧𝙮𝙞𝙣𝙜 𝙞𝙣 𝙔𝘼𝙈𝙇 🥲

➡️ 𝟭𝟭 𝘄𝗮𝘆𝘀 𝘁𝗼 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝗗𝗲𝗯𝘂𝗴 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗶𝘀𝘀𝘂𝗲𝘀:

1. 🛠 Utilize kubectl commands for quick diagnostics.
2. 🖥 Leverage the Kubernetes Dashboard for visual debugging.
3. 🚀 Use ephemeral containers for troubleshooting without modifying pod state.
4. 📜 Explore logs with stern for efficient log monitoring.
5. 🚪 Use kubectl port-forward for direct access to services.
6. ⚙️ Implement probes for automated health checks.
7. 🗓 Analyze cluster events with kubectl get events.
8. 🌐 Network troubleshooting with netshoot.
9. 📊 Performance monitoring with Prometheus and Grafana.
10. 💻 Inspect container filesystems with kubectl exec.
11. 📈 Analyze resource usage with Metrics Server.

Share this to help other DevOps Engineers ♻️🤝


✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 Go from Zero to Hero with our Linux 🐧 System Administrator


Lesson 1 ➡️ https://lnkd.in/darzXURj

Lesson 2 ➡️ https://lnkd.in/dJStSRtn

Lesson 3 ➡️ https://lnkd.in/dRv9WYbr

Lesson 4 ➡️ https://lnkd.in/dAQ7DCmX


✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

CICD 👾 with Jenkins Multibranch pipeline ⚙️


➡️What is Jenkins Multibranch pipeline ❓
According to official documentation, multibranch pipeline job type lets you define a job where from a single git repository Jenkins will detect multiple branches and create nested jobs when it finds a Jenkinsfile

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/cicd-jenkins-multibranch-pipeline


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

⚙️ 100 Kubernetes Commands With Examples


🦠 The Kubernetes command-line tool, kubectl—though extremely helpful—is flavored with numerous commands with several options. Searching for the right command or syntax can be like finding a needle in a haystack.

⛔ That’s why, we have compiled 100 essential kubectl commands with code examples in this article to help you streamline your Kubernetes management tasks.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
❤️‍🔥 https://prodevopsguy.site/kubernetes-commands-with-examples


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

As a DevOps Engineer, you must be aware of 𝐃𝐨𝐜𝐤𝐞𝐫𝐟𝐢𝐥𝐞 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬:


🔍 Use only and only official and verified images as base image.

🔍 Use light weight docker images for base image like alpine linux image distribution.

🔍 Use docker image version instead of using latest version.

🔍 Install only required packages and softwares into Docker Image.

🔍 Do not have multiple layers of RUN instructions in a Dockerfile, instead have single RUN instruction to install all necessary packages into a docker image using && operator.

🔍 When Dockerfile contains too many layers, try to use multi stage docker file.

🔍 Use .dockerignore file to exclude unnecessary files and directories from docker image in order to reduce docker image size.

🔍 Do not use root user to start docker container, use non root user with least privileges.

🔍 Once docker image is built, make sure docker image is scanned before pushing to Docker Registry.


✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 Mobikode is hiring for an AWS Cloud Engineer

➡️ We are hiring for an AWS Cloud Engineer with 2 to 4 Years of Experience (AWS, Kubernetes, terraform)

📍 Location - Magarpatta City, Pune

Immediate joiners preferred

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✉️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 Azure DevOps Complete Zero to Hero Guide 2024


Azure DevOps is a suite of services you can implement end-to-end DevOps in your organization. It includes services such as Azure Repos, Boards, Wiki, Build and Release pipelines, Test plans, Artifacts, etc.,

➡️ This Azure DevOps guide includes the following services:
🔖 Azure Boards: A project management tool that assists teams in planning, tracking, and discussing work.
🔖 Azure Pipelines: A continuous integration/continuous delivery (CI/CD) platform that automates software development, testing, and deployment.
🔖 Azure Repos: A Git repository hosting service that offers code version control.
🔖 Azure Artifacts: A centralized storage and management system for software artifacts such as NuGet packages and Docker images.
🔖 Azure Test Plans: A test management solution that assists teams in planning, executing, and analyzing tests.

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/azure-devops-hero-to-zero-guide


✉️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

𝐓𝐨𝐨𝐥 𝐒𝐭𝐚𝐜𝐤 𝐟𝐨𝐫 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭 ⚠️

⏩𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲: In today's cyber landscape, security takes center stage. Leverage the power of Aqua Security and Sysdig Secure, robust container security tools, to fortify your clusters and safeguard workloads.

⏩𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠: Smooth network connectivity is the lifeblood of containerized apps. Employ Kubernetes-native solutions like Calico and Cilium to effortlessly manage network policies, ensuring seamless communication among your applications.

⏩𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐑𝐮𝐧𝐭𝐢𝐦𝐞: At the core of Kubernetes lies the container runtime. Docker and other container solutions reign supreme, simplifying the management of container lifecycles and runtime environments.

⏩𝐂𝐥𝐮𝐬𝐭𝐞𝐫 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Streamline cluster management for scalable applications with the help of tools like Kops and Rancher. They take the complexity out of cluster provisioning and upkeep.

⏩𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲: Maintain a vigilant watch over your Kubernetes environment using Prometheus for monitoring and Grafana for intuitive visualization. Remember to establish centralized logging through Fluentd or the Elastic Stack.

⏩𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: To automate infrastructure provisioning and scaling, rely on indispensable tools like Terraform and Helm for efficient package management. They empower you to define and manage your infrastructure as code.

When combined, these tools create a robust Kubernetes ecosystem that empowers you to securely and efficiently deploy, manage, and scale containerized applications. 💡


✉️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🐬 Docker Image size 500 MB --> 80 MB ⚡️

Here is how.❓

🔣 SlimToolkit is an open source tool that helps to optimize Docker images by removing unnecessary layers and files.

🔣 SlimToolkit does this by analyzing the Docker image and identifying the unwanted layers and files that will not affect the image’s ability to run properly even if they are not included in the image.

The SlimToolkit can reduce the image size by up to 30% of the image size

The image size may be reduced even more for applications run in compiled languages such as C, C++, Java, etc.

➡️Want to dive deeper?

Our detailed blog by Aswin dives into optimizing Python and Java Docker images with practical examples.

➡️𝗦𝗹𝗶𝗺𝘁𝗼𝗼𝗹𝗸𝗶𝘁 𝗕𝗹𝗼𝗴: https://lnkd.in/g4bJeGFn


✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 https://prodevopsguy.site/deploying-an-application-on-kubernetes-a-complete-guide


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 https://blog.prodevopsguy.xyz/series/azure-devops-zero-to-hero


✔️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🐬 Docker Container Commands for a DevOps Engineer

The below illustration shows some common container commands and their syntax 👇

1. 🏗 Creates a container from an image

docker run -it --name nginx nginx

2. 🚀 Begins a Docker container

docker start nginx

3. 🔄 Restarts a Docker container.

docker restart nginx

4. ⏸ Temporarily halts a container.

docker pause nginx

5. ▶️ Resumes a paused container.

docker unpause nginx

6. 🛑 Ends a running Docker container.

docker stop nginx

7. ❌ Forcefully stops a running container

docker kill nginx

8. 📊 Lists Docker containers.

docker ps

9. 🖥 Accesses a container's shell.

docker exec -it nginx /bin/bash

10. 📝 Connects to a running container.

docker attach nginx

11. 📜 Views container logs.

docker logs nginx

12. 🔄 Change a container's name.

docker rename old-name new-name

13. 🔍 Retrieves container info.

docker inspect nginx

14. 📂 Copies files to/from a container.

docker cp nginx:/container-path/file.txt /local-path

15. 🗑 Deletes a container.

docker rm nginx

These container commands are essential for managing containerized applications, whether for development, testing, or production deployment, as they enable efficient control and manipulation of container instances.


😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

📍 What strategies would you employ to optimize the performance of your Jenkins pipeline? 📍

Based on the above question, you could ask the interviewer:
✅ Can you specify which aspects of the Jenkins pipeline are most critical to optimize, such as build times, resource allocation, or dependency management?

The design factors for optimizing Jenkins Pipeline performance and reducing build times would include:
🔢 Parallel Execution:
Leverage parallel execution in Jenkins pipelines. This means designing the pipeline to allow multiple stages or steps to run concurrently rather than sequentially, significantly reducing total execution time for independent tasks.
🔢 Agent and Workspace Efficiency:
Focus on optimizing agent and workspace efficiency. This involves configuring pipelines to use lightweight executors, like Docker agents, and implementing practices to reuse workspaces effectively, which minimizes setup and teardown times.
🔢 Optimize Build Environment:
Ensure the build environment is optimized. This includes selecting high-performance hardware, minimizing network latency, particularly in distributed setups, and choosing efficient build tools and compilers.
🔢 Efficient Retrieval Methods for Source Code:
To minimize checkout times, implement efficient source code retrieval methods, such as local shallow cloning and caching repositories, reducing the time spent fetching code from remote sources.
🔢 Artifact Management:
Effective artifact management is another key area. Utilize artifact repositories and optimize artifact storage and retrieval strategies, such as uploading only deltas or employing parallel downloads.
🔢 Pipeline Caching:
Incorporate pipeline caching to avoid redoing work. By caching dependencies or build outputs at certain stages, the pipeline can reuse previously computed results, which is especially beneficial for dependency-heavy builds.
🔢 Use of Plugins and Tools:
Utilizing Jenkins plugins and external tools effectively is crucial. Employ plugins like Pipeline Utility Steps and Timestamper to optimize performance and manage the pipeline more efficiently.
🔢 Review and Refine Regularly:
Believe in continuous improvement. Regularly reviewing build times and performance metrics helps identify bottlenecks, allowing for the ongoing refinement of pipelines.

➡️ Interviewer expectation:
🔢 Show that you understand the core concepts of Jenkins Pipeline and CI/CD processes.
🔢 Explain how each point contributes to the optimization and efficiency of the pipeline.
🔢 Provide examples from your experiences applying these strategies to solve real-world problems. If you haven't had direct experience, discuss how you would implement these strategies in a hypothetical scenario.


✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

https://prodevopsguy.github.io/2024/Ultimate-DevOps-Bootcamp-2024-Pack/

⚠️ Note: Anyone Interested, can open the Blog 🌐, share it to your friends and colleagues.

🆕 Course content will be updated every month with new topics/videos 🙂

⚠️ Note: Limited slots only

🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

CICD 👾 with Jenkins Multibranch pipeline ⚙️


➡️What is Jenkins Multibranch pipeline ❓
According to official documentation, multibranch pipeline job type lets you define a job where from a single git repository Jenkins will detect multiple branches and create nested jobs when it finds a Jenkinsfile

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/cicd-jenkins-multibranch-pipeline


😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Dont create Dockerfiles 🐬 manually

Do this instead 👇

➡️Docker Desktop has a command-line utility called 𝗱𝗼𝗰𝗸𝗲𝗿 𝗶𝗻𝗶𝘁, which simplifies the process of creating a Dockerfile based on the source code.

If you have Docker Desktop version 4.19.0 or later installed on your system, you can use the docker init command.

By running the docker init command in your project workspace, it will create the following files based on your project:

- Dockerfile
- compose.yaml
- .dockerignore

The generated Dockerfile follows best practices like adding minimal base images, non-root users, cache etc.

It also adds comments for beginners to understand everything in the Dockerfile.

You can get started with docker init using the following hands-on guide.

➡️𝗗𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗕𝗹𝗼𝗴: https://lnkd.in/g_zW3nZE

Currently docker init supports GO, Python, Node, Rust, Java etc

✅ 𝗡𝗼𝘁𝗲: When using Docker init for projects, you will need to customize the base image and add other parameters based on your project requirements.


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

📣 DevOps Engineer for a Security based company in Bangalore!


✅ YOE: 2 to 5 years

✅ Mandatory Skills: Python,Jenkins,Ansible,Terraform,AWS,Linux

📍 Location: Bangalore

📌 Notice Period: 30Days or less

✉️ If interested, Please send resume at krystal@peoplegamut.com


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 50 Ansible Real-Time Use Cases


➡️ In this article, we will discuss what is Ansible in DevOps and its use cases? You can explain to someone that Ansible is just an automation tool. but, with the abundance of automation tools available, such as Jenkins, Nagios, Docker, and Kubernetes, what makes Ansible new? Put simply, you could say that all of these tools are also tools for automation; the kind of automation you want to achieve will depend on what you want to automate.

➡️For example, Jenkins is a good option if you want to automate testing and deployment. You can use Ansible to automate configuration-level tasks.


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/50-ansible-real-time-use-cases


📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs