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https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guides
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Channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) in the English language segment is an active participant. Currently, the community unites 16 318 subscribers, ranking 7 977 in the Technologies & Applications category and 25 792 in the India region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 16 318 subscribers.
According to the latest data from 07 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 166 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
- Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
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- Thematic interests: Content is focused on key topics such as devops, docker, terraform, kubernete, git.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com
• We post Daily Trending DevOps/Cloud content
• All DevOps related Code & Scripts uploaded
• DevOps/Cloud Job Related Posts
• Real-time Interview questions & preparation guid...”
Thanks to the high frequency of updates (latest data received on 08 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
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How Docker 🐬 Works Explained
Docker is a platform that simplifies application development and deployment through containerization.
➡️Here's a brief overview of how it works:
1. Developer: Writes code and prepares a Dockerfile with instructions to build an image.
2. Client: Uses Docker commands (docker build, docker pull, docker run, docker push) to interact with Docker.
3. Dockerfile: Script containing instructions to create an image, specifying base images and configurations.
4. Registry: Stores Docker images, which can be pulled or pushed by developers.
5. Docker Host: Runs the Docker daemon, managing images and containers.
6. Docker Daemon: Background service that manages the lifecycle of containers.
7. Images: Templates for creating containers, containing applications and dependencies.
8. Containers: Isolated environments where applications run, sharing the host system's kernel.
➡️Workflow:
- Build: Developer creates an image from a Dockerfile.
- Push: Image is uploaded to a registry.
- Pull: Image is downloaded from the registry.
- Run: Container is created and started from the image.
Docker ensures applications are portable and consistent across different environments, simplifying deployment and scaling.❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🔥 Real-Time Resume Ready DevOps Projects 🔥
Looking to boost your DevOps skills and add impressive projects to your resume? Check out our latest article on Dev.to where I share a curated list of hands-on DevOps projects that are perfect for showcasing your expertise. 🚀
🔗 Read Here: https://dev.to/prodevopsguytech/real-time-resume-ready-devops-projects-2n5i
Stay ahead in the DevOps game with these projects and take your career to the next level! 💼✨📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀Connecting to Your Kubernetes Cluster with Kubectl: A Quick Guide! 🚀
Imagine this: It's your first day on a new project, and you're tasked with deploying an app on a Kubernetes cluster. You feel a mix of excitement and a bit of nervousness. Your mentor leans over and says, "Let's connect to our Kubernetes cluster using kubectl!"
Here's how we did it, step-by-step:
🌏 Step 1: Install Kubectl First, we ensured
kubectl was installed. If you haven’t already, download and install it from the official Kubernetes site.
⚙️ Step 2: Configure Kubectl
Next, we set up the kubeconfig file to authenticate and point kubectl to our cluster. We got the config file from our cluster admin and saved it to ~/.kube/config.
📋Step 3: Verify the Connection Finally, we verified our connection. A simple command showed we were connected and ready to deploy! Seeing the list of pods pop up on the terminal.
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
𝐓𝐚𝐤𝐞 𝐛𝐚𝐜𝐤 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐰𝐢𝐭𝐡 🌐 𝐆𝐢𝐭𝐎𝐩𝐬: 𝐘𝐨𝐮𝐫 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 🚀
What is GitOps? It's a revolutionary approach that treats your infrastructure as code, using Git as the single source of truth. ✨
🔣Why GitOps?
⏩ Simplified management: Declarative configuration in Git means no more ad-hoc changes or manual interventions.
⏩ Reduced errors: Automated deployments eliminate human error and ensure consistency.
⏩ Increased visibility: Track changes and rollbacks easily with Git's history and branching.
⏩ Improved collaboration: Everyone works from the same source of truth, fostering transparency and ownership
😎 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs
Preparing for an Azure DevOps interview is crucial to showcase your skills and knowledge effectively. Here are some valuable resources to help you prepare:
1. Top 50 Azure DevOps Interview Questions and Answers: This comprehensive guide covers a wide range of topics related to Azure DevOps. It includes questions on DevOps concepts, tools, services, and practical scenarios. Understanding these questions and their answers will give you a solid foundation for your interview[1].
2. 2024 Azure DevOps Engineer Interview Questions & Answers: This resource dissects various question types that Azure DevOps Engineer candidates may encounter. It provides insights into technical inquiries and behavioral scenarios, along with exemplary responses. Make sure to prepare thoroughly to excel in your interview[2].
3. Top 25 Azure DevOps Interview Questions and Answers: This guide features commonly asked questions and in-depth answers. It's a great resource to help you showcase your skills during the interview process[3].
4. Top 15 Azure DevOps Scenario-based Interview Questions and Solutions: If you're looking for scenario-based questions, this blog provides 17 beginner-friendly videos with real-time projects and hands-on experience. It's a last-minute interview preparation guide that complements your overall preparation[4].
Remember to practice, review your concepts, and stay confident during your interview. Good luck! 🚀➡️Reference links: [1] [2] [3] [4] ❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
➡️What DevOps and Cloud Engineers think their jobs will be:
- 40% Scripting automation
- 30% Cloud deployments
- 20% Monitoring and optimizing
- 10% Team collaboration
➡️What their jobs often actually look like:
- 20% Scripting automation
- 25% Cloud deployments
- 15% Monitoring and optimizing
- 40% Team collaboration
- 65.73% Debating on the infra/tool choices
➡️That’s because, beyond technical aspects, DevOps and Cloud Engineering involves:
- On-demand support
- Many alignment meetings
- Managing system incidents
- Balancing cost-efficiency
- Technical review sessions
- Cross-department collaboration
- Defending infrastructure choices
- Implementing stakeholder feedback
✅Technical skills get you in the door.
✅Communication and collaboration skills push your career forward.
✅To excel, keep up with both the latest technology trends and best practices in teamwork and communication.
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🚀 New Features Alert! 🚀
We are excited to announce new updates to our DevOps Tool Installer! 🎉
☁️ Check out the updated repository here: DevOps Tool Installer
🌟 What's New?
🔹 Multi-OS Support: Now install and uninstall DevOps tools on multiple Linux distributions (Ubuntu/Debian, CentOS/RHEL, Fedora) and Windows. 🐧🪟
🔹 Uninstallation Feature: Easily uninstall DevOps tools when no longer needed. 🗑
🔹 Comprehensive Toolset: Support for a wide range of tools including Docker, Kubernetes, Ansible, Terraform, Jenkins, AWS CLI, Azure CLI, Google Cloud SDK, Helm, Prometheus, Grafana, GitLab Runner, HashiCorp Vault, and HashiCorp Consul. 🚀
🔹 User-Friendly Interface: Interactive terminal menus for selecting installation or uninstallation actions on Windows. 🖥
🔹 Preview Images: Check out the tool previews on both Windows and Linux machines in the README! 🖼
🔹 Multi-OS Detection: Automatically detects your OS and performs appropriate actions. 🌍
🔹 Enhanced Documentation: Updated README with detailed instructions and new features. 📚
💻 Installation:
- Linux: Clone the repo, make the script executable, and run it.
- Windows: Clone the repo and run the PowerShell script.
📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
+1
DevOps Tool Installer Sample images on Windows & Ubuntu Machines
🚀 Introducing the DevOps Tool Installer 🌐
Are you a DevOps engineer or enthusiast looking to streamline the installation of essential DevOps tools? Look no further! Our new repository, DevOps Tool Installer, is here to make your life easier.
📱 Check it out here: DevOps Tool Installer on GitHub: https://github.com/NotHarshhaa/DevOps-Tool-Installer
🔧 What's Included?
- Docker 🐳
- Kubernetes (kubectl) ☸️
- Ansible 📜
- Terraform 🌍
- Jenkins 🏗
- AWS CLI ☁️
- Azure CLI ☁️
- Google Cloud SDK ☁️
- Helm ⛵️
- Prometheus 📈
- Grafana 📊
- GitLab Runner 🏃♂️
- HashiCorp Vault 🔐
- HashiCorp Consul 🌐
📜 Features:
- Easy installation on both Linux and Windows
- Single script with a menu to select and install tools as per your requirement
- Perfect for setting up your DevOps environment quickly and efficiently
🌟 Get Started Now:
1. Clone the repository:
git clone https://github.com/NotHarshhaa/DevOps-Tool-Installer.git
1️⃣. Tutorial for Kubernetes
🌐 Introduction to Kubernetes
➡️https://lnkd.in/gz4-zvdC
🌐 Kubernetes tutorials: Hands-on labs with certification
➡️https://lnkd.in/g_2SVjvs
🌐 Networking with Kubernetes | Basics of Kubernetes Networking
➡️https://lnkd.in/gb7UpM6N
🌐 Kubernetes Full Course | Kubernetes Architecture
➡️https://lnkd.in/g8NATDPQ
🌐 what is Kubernetes (playlist)
➡️https://lnkd.in/gACGJzAq
🌐 Docker Containers and Kubernetes Fundamentals - Full Hands-On Course
➡️https://lnkd.in/gwtEN6hS
🌐 Kubernetes for Beginner
➡️https://lnkd.in/gdYZ4bgQ
🌐 Kubernetes Tutorial for Beginners
➡️https://lnkd.in/duGZwHYX
🌐 Kubernetes Tutorial For Beginners - Learn Kubernetes
➡️ https://lnkd.in/gmjRkGSJ
🌐 Kubernetes Full Course
➡️https://lnkd.in/gqr2nzYT
🌐 Kubernetes Course - Full Beginners Tutorial
➡️ https://lnkd.in/de84ESNv
🌐 Kubernetes Tutorial For Beginners
➡️https://lnkd.in/gSRYYGPG
2️⃣. Labs
1. Kubernetes Hands-on Lab #1 – Setting up 5-Node K8s Cluster
2. Kubernetes Hands-on Lab #2 – Running Our First Nginx Cluster
3. Kubernetes Hands-on Lab #3 –
🌐 Deploy Istio Mesh on K8s Cluster
➡️ https://lnkd.in/gpB4DNs6
🌐 Kubernetes 101 workshop - complete hands-on
➡️https://lnkd.in/gUCeEjFF
🌐 Build a Kubernetes Home Lab from Scratch step-by-step!
➡️https://lnkd.in/gM-kRUEh
🌐 Kubernetes Hands on
➡️https://lnkd.in/guhw9iKa
🌐 Hands-on with Kubernetes on Cloud
➡️ https://lnkd.in/gTcKi2Fq
🌐 Kubernetes Project for beginners
https://lnkd.in/gSc2KDAb
3️⃣. Book
🌐 https://lnkd.in/gM7ts9XC
❤️ Follow for more: @prodevopsguy
🚨 kubectl Command: Behind the scenes!
When you perform kubectl apply, Kubernetes executes a series of steps to manage the desired state of the resources defined in the provided configuration files. Here’s on what happens:
1️⃣. User issues the kubectl apply -f request.
2️⃣. The kubectl tool sends an API request to the Kubernetes API server to create or update the resource.
3️⃣. The server validates the user’s request. If all looks good, the server will write the new or modified resource into etcd.
4️⃣. The kube-controller-manager is a daemon that continually watches the kube-apiserver.
5️⃣. It will be notified of the new deployment and proceeds to create new pods to achieve the desired state through another call to the kube-apiserver.
6️⃣. Then we have kube-scheduler which is responsible for scheduling Kubernetes pods on worker nodes.
7️⃣. The kube-scheduler is then notified about the new pods that have been created and proceeds to determine which nodes are valid placements for the same. The scheduler’s primary task is to identify the create request and choose the best node for a pod that satisfies the requirements.
8️⃣. Finally, Kubelet is an agent component that runs on every node in the cluster that gets notified if a pod has been assigned to it. The assigned node then coordinates with the container runtime on the node to start the appropriate containers.
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
What is DevOps ♾ - Explained in Details
✅ We will start from the very beginning, when the software development was hard, and developers had to do everything on their own, and developing a simple app, took years.
📝 Developing software required at least two teams, developers (programmers) and the operations team.
📝 Developers had to plan, design and build the software, whereas the operations team, took the already built software, created the infrastructure and implemented the software there.
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
💻 https://prodevopsguy.site/what-is-devops-explained-in-details
😎 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
🚀 Explore the Top 10 AWS Cloud Services for DevOps Engineers! ☁️
Check out our detailed guide on the Top 10 AWS Cloud Services Used by DevOps Engineers. This article breaks down each service, providing insights into how they can streamline your workflows and enhance your cloud infrastructure.
🖥 Read the full article here: https://dev.to/prodevopsguytech/top-10-aws-cloud-services-used-by-devops-engineer-and-explained-in-detailed-2726
💡 Discover the power of:
- EC2 for scalable compute capacity
- S3 for reliable storage
- Lambda for serverless computing
- RDS for managed databases
- And much more!
Enhance your AWS proficiency and optimize your cloud operations with these essential services. Happy learning! 🎉📱 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
🔖 𝐇𝐨𝐰 𝐭𝐨 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐔𝐬𝐢𝐧𝐠 𝐉𝐞𝐧𝐤𝐢𝐧𝐬!
Jenkins is a popular automation server that can be used to automate the CI/CD pipeline. In this post we will learn how to use Jenkins to automate the following steps:
✅ Checkout code from version control: Jenkins can be configured to automatically checkout code from a version control system, such as GitHub.
✅ Compile code: Jenkins can use a variety of build tools, such as Maven or Gradle, to compile the code.
✅ Run unit tests: Jenkins can run unit tests to ensure that the code is working properly.
✅ Build a Docker image: Jenkins can build a Docker image from the compiled code.
✅ Push Docker image to registry: Jenkins can push the Docker image to a Docker registry, such as Docker Hub.
✅ Deploy to Kubernetes: Jenkins can notify Kubernetes of the new Docker image and deploy it to a Kubernetes cluster.
🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
🔔 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤
What it is: A powerful open-source platform designed to automate deploying, scaling, and operating application containers.
➡️𝐂𝐥𝐮𝐬𝐭𝐞𝐫 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭:
- Organizes containers into groups for easier management.
- Automates tasks like scaling and load balancing.
➡️𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐑𝐮𝐧𝐭𝐢𝐦𝐞:
- Software responsible for launching and managing containers.
- Ensures containers run efficiently and securely.
➡️𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲:
- Implements measures to protect against unauthorized access and malicious activities.
- Includes features like role-based access control and encryption.
➡️𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐎𝐛𝐬𝐞𝐫𝐯𝐚𝐛𝐢𝐥𝐢𝐭𝐲:
- Tools to monitor system health, performance, and resource usage.
- Helps identify and troubleshoot issues quickly.
➡️𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠:
- Manages network communication between containers and external systems.
- Ensures connectivity and security between different parts of the system.
➡️𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐎𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬:
- Handles tasks related to the underlying infrastructure, such as provisioning and scaling.
- Automates repetitive tasks to streamline operations and improve efficiency.
➡️𝐊𝐞𝐲 𝐜𝐨𝐦𝐩𝐨𝐧𝐞𝐧𝐭𝐬:
- Cluster Management: Handles grouping and managing multiple containers.
- Container Runtime: Software that runs containers and manages their lifecycle.
- Security: Implements measures to protect containers and the overall system.
- Monitoring & Observability: Tools to track and understand system behavior and performance.
- Networking: Manages communication between containers and external networks.
- Infrastructure Operations: Handles tasks like provisioning, scaling, and maintaining the underlying infrastructure.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
If you're a DevOps fresher looking to understand Azure Cloud, here's a brief introduction:
1⃣. Understanding DevOps:
- DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to improve collaboration, automate processes, and enhance software delivery.
- It emphasizes continuous integration, continuous delivery, and infrastructure as code.
- DevOps aims to break down silos between development and operations teams, fostering a culture of collaboration and agility.
2⃣. Key Concepts in DevOps:
➡️Agile Planning and Lean Project Management: Agile methodologies help manage work efficiently, while lean principles minimize waste.
➡️Version Control: Use tools like Git to manage code changes and collaborate effectively.
➡️Continuous Integration (CI): Automate code integration and testing to catch issues early.
➡️Continuous Delivery (CD): Automate deployment to ensure reliable and frequent releases.
➡️Infrastructure as Code (IaC): Define infrastructure using code (e.g., ARM templates in Azure).
➡️Monitoring and Logging: Monitor applications and infrastructure to identify issues promptly.
➡️Validated Learning: Use data and feedback to improve processes continuously.
3⃣. Building a DevOps Culture:
- Cultivating a DevOps culture involves more than just tools. It requires changes in team structures, workflows, and habits.
- Encourage collaboration, transparency, and shared responsibility.
- Focus on learning, adaptability, and continuous improvement.
⚠️ Remember, DevOps is about people, processes, and tools working together to deliver high-quality software efficiently. If you'd like to explore further, check out the Microsoft Azure DevOps tutorial for practical steps! 🚀 [1]
➡️Reference links: [1] [2] [3]
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
📣 New to DevOps? 📣
Here are the most widely used tools in the industry along with their official documentation:
➡️ Source Code Management:
1. Git: https://git-scm.com/docs
2. GitHub: https://docs.github.com/en
3. Bitbucket: https://lnkd.in/dA2PcM_w
➡️ Ticketing Tools:
1. Service Now: https://lnkd.in/d69yubJF
2. Jira: https://lnkd.in/dD_WcXFQ
3. Trello: https://trello.com/guide
➡️ Public Clouds:
1. AWS: https://lnkd.in/dMa9XpMa
2. Azure: https://lnkd.in/dBsJtZHy
3. GCP: https://lnkd.in/d3hmN-Jr
➡️ Containerization and Orchestration Tools:
1. Docker: https://docs.docker.com/
2. Kubernetes: https://lnkd.in/dZXfQEqW
3. Mesos: https://lnkd.in/dqzvzJhY
➡️ Deployment Tools:
1. Terraform: https://lnkd.in/dM46h2_D
2. Octopus: https://octopus.com/docs
3. Heroku: https://lnkd.in/dCDuwvcj
➡️ Testing Tools:
1. Selenium: https://lnkd.in/dTnFN8bT
2. Cucumber: https://lnkd.in/dpmD4A9C
3. Postman: https://lnkd.in/d3xERi6c
➡️ Build Tools:
1. Maven: https://lnkd.in/dfgBnrZj
2. Gradle: https://lnkd.in/dv6rQczZ
3. Ant: https://lnkd.in/dQgMsgef
➡️ Pipeline Tools:
1. Jenkins: https://lnkd.in/dPmA6-ff
2. TravisCI: https://lnkd.in/dxxFaK_X
3. Argo CD: https://lnkd.in/dK5eXbYi
➡️ Monitoring Tools:
1. Grafana: https://lnkd.in/dX5anVq9
2. Prometheus: https://lnkd.in/ddxjc9bV
🚀 Follow for more DevOps content, tips and tricks, and Hands-On Project Implementation.
🔵 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
☄️ Real-world Prometheus Deployment: A Practical Guide for Kubernetes Monitoring ☄️
🔗 Source Link: https://github.com/NotHarshhaa/Learning-Prometheus
🔗 Blog Link: https://blog.prodevopsguy.xyz/real-world-prometheus-deployment-a-practical-guide-for-kubernetes-monitoring
✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!
📣 ReplicaSet and Deployment :
ReplicaSet and Deployment are both Kubernetes resources used for managing and scaling application instances, but they serve different purposes and have distinct features:
🔖 ReplicaSet:
➡️A ReplicaSet ensures that a specified number of pod replicas are running at any given time.
It is a lower-level controller in Kubernetes.
It does not support declarative updates or rollback strategies.
➡️When using a ReplicaSet, you manage updates manually by creating new ReplicaSets with updated configurations and then deleting the old ReplicaSets.
It is often used directly only in advanced scenarios where finer control over scaling and updates is required.
🔖 Deployment:
➡️A Deployment is a higher-level resource that manages ReplicaSets and provides declarative updates and rollback strategies.
It is a higher-level abstraction built on top of ReplicaSets.
➡️Deployments allow you to describe the desired state of your application, and Kubernetes handles the process of creating and managing the ReplicaSets to achieve that state.
🎄 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
