DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

📢 Microsoft Azure offers a wide range of services across different categories. Here are some popular ones: 1. Azure AI Services: These include capabilities like anomaly detection, language understanding, and custom vision models[1]. 2. Azure Machine Learning: An enterprise-grade service for end-to-end machine learning lifecycle[1]. 3. Azure Databricks: Designed for AI with Apache Spark™-based analytics[1]. 4. Azure Open Datasets: A cloud platform to host and share curated open datasets for machine learning models[1]. 5. Azure App Service: A fully managed platform for building, deploying, and scaling web apps[2]. 6. Azure Functions: Serverless compute service for event-driven applications[2]. 7. Azure SQL Database: Managed relational database service[2]. 8. Azure Cosmos DB: Globally distributed, multi-model database service[2]. 9. Azure Kubernetes Service (AKS): Managed Kubernetes container orchestration service[2]. 10. Azure Virtual Machines: Infrastructure as a Service (IaaS) for scalable compute resources[2]. Remember, there are over 200 Azure services, so this is just a glimpse! Feel free to explore more based on your specific needs. 😊🚀 [1] [2] ➡️Reference links: [1] [2] [3] [4] [5] [6] [7] [8] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🌐 https://www.prodevopsguy.tech/posts/complexity-by-simplicity-a-deep-dive-into-kubernetes-components 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Tech News ‼️ ➡️ Microsoft to lay off hundreds at Azure cloud unit. ➡️ Google lays off 100 Employees in its Cloud unit. ➡️ Instagram testing feature that stops users from skipping ads. ➡️ Truecaller AI Call Scanner can help you to prevent Voice call scams. ➡️ London hospitals cyber attack causing significant impact on services. ➡️ Intel launches new Xeon server processors amid competition with AMD. Want more Tech News Like this? Join our WhatsApp group https://chat.whatsapp.com/FndTPrJEkbq5RlKQE3jGp3

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

⚙️ 𝗠𝗮𝘀𝘁𝗲𝗿𝗶𝗻𝗴 𝗗𝗲𝘃𝗢𝗽𝘀: 𝗔 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 1️⃣. Foundational Understanding 2️⃣. Continuous Integration (CI) 3️⃣. Infrastructure as Code (IaC) 4️⃣. Containerization and Orchestration 5️⃣. Continuous Deployment (CD) 6️⃣. Monitoring and Logging 7️⃣. Security in DevOps 8️⃣. Collaboration and Communication Foster a culture of continuous learning and improvement. ❤️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devopsdocs

🚨 Fineese Hiring for a DevOps Engineer. ➡️Job location : Remote ➡️Experience range: 2-4yrs ➡️Required skills: · AWS Platform support · Knowledge of all AWS services · Knowledge of Kubernetes, Terraform and CloudFormation · Kong installation and management · CICD and GitHub · AppDynamics or any other monitoring tool knowledge · Good Communication Skill & Willing to work in shifts. ✉️ Email us your CV at payal@finessedirect.com 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 https://cloud.prodevopsguy.xyz/aws-lambda-a-beginners-guide 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 https://cloud.prodevopsguy.xyz/aws-lambda-a-beginners-guide 📱 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

🔔 𝟏𝟎𝟎 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐄𝐫𝐫𝐨𝐫𝐬 𝐖𝐢𝐭𝐡 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐈𝐧 𝐃𝐞𝐭𝐚𝐢𝐥 ➡️ Kubernetes has become the de facto standard for container orchestration, providing a powerful and scalable platform for deploying and managing applications. However, like any complex system, Kubernetes can encounter errors during the process, which can lead to frustration and downtime. 🔖 In this blog, we will explore common reasons for errors in 100 Kubernetes and provide possible solutions for each case. Let's dive in! 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: https://prodevopsguy.site/100-Kubernetes-Errors-With-Solution #DevOps #Cloud #Kubernetes #Troubleshooting ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🔔 Simple CI/CD 👾 pipeline Integrating Jenkins with Maven and GitHub to Build a job on a Tomcat server. ⭐️ (Best Project for Freshers/Beginners) 🔖 A company would use a CI/CD pipeline integrated with Jenkins, Maven, GitHub, and Apache Tomcat to streamline and automate the software development and deployment processes. Jenkins serves as the automation server, orchestrating the pipeline, while Maven manages project dependencies and builds. GitHub acts as a version control system, enabling collaboration, and Apache Tomcat facilitates the smooth deployment of applications, ensuring efficient and consistent delivery of software updates. This integrated toolchain enhances development speed, ensures code quality, and simplifies the continuous delivery of software applications. 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.site/simple-ci-cd-devops-project ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🖥 https://blog.prodevopsguy.xyz/most-useful-devopscloud-github-repositories-to-learning-and-become-a-devops-engineer 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Crafting a DevOps Engineer resume as a fresher is essential for landing your first job in this field. Let's create a strong resume that highlights your skills and potential: ➡️Fresher DevOps Engineer Resume Example Lily Chang Email: lily@chang.com Phone: (987) 654-3210 LinkedIn: linkedin.com/in/lily-chang Twitter: @lily.chang ➡️Summary: Highly motivated and detail-oriented Fresher DevOps Engineer with a passion for automation and improving system performance. Skilled in implementing CI/CD pipelines, automating system administration tasks, and collaborating with cross-functional teams to identify and resolve issues. Proven track record in reducing deployment time by 50%, improving system reliability, and increasing team productivity by 25%. ➡️Work Experience: Fresher DevOps Engineer ➡️AgileTech Solutions (01/2023 – 04/2023) Developed and implemented a CI/CD pipeline, reducing deployment time by 50% and increasing team productivity by 25%. Collaborated with development teams to identify and resolve system issues, resulting in a 30% reduction in downtime and improved system performance. Created and maintained system documentation, ensuring compliance with industry standards and improving overall system reliability. ➡️Systems Administrator TechWave Innovations (09/2022 – 12/2022) Implemented automated backup and recovery procedures, reducing data loss by 80% and improving system availability by 25%. Researched and evaluated new technologies, resulting in the adoption of a new monitoring tool that improved system performance by 15%. Collaborated with security teams to implement and maintain system security policies, ensuring compliance with industry regulations and improving overall system security.

Remember to tailor your resume to the specific job you're applying for, emphasizing relevant skills and achievements. Good luck with your job search! 😊

➡️References: 1. Fresher DevOps Engineer Resume Example - TealHQ 2. 9 DevOps Resume Samples Built for 2024 - BeamJobs 3. DevOps Engineer Resume Examples and Template for 2024 4. How to Write a DevOps Engineer Resume (Step-by-Step With Examples) 5. 15 DevOps Resume Examples for 2024 | Resume Worded ➡️Reference links: [1] [2] [3] [4] [5] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

Multi-stage builds in Docker allow you to break down the image-building process into multiple stages. Each stage serves a specific purpose, making your Dockerfile more efficient and reducing the final image size. Here's how it works: 1. Multiple FROM Statements: In a Dockerfile, you can use multiple FROM statements. Each FROM begins a new build stage. These stages can have different base images, allowing you to perform specific tasks in each stage. 2. Artifact Copying: You can selectively copy artifacts (files, binaries, etc.) from one stage to another. This helps create a final image that includes only what's necessary, leaving behind build tools and intermediate artifacts. 3. Example:

# Build stage
FROM golang:1\.21 as build
WORKDIR /src
COPY <<EOF \./main\.go
package main
import "fmt"
func main() {
    fmt\.Println("hello, world")
}
EOF
RUN go build -o /bin/hello \./main\.go

# Final stage
FROM scratch
COPY --from=build /bin/hello /bin/hello
CMD ["/bin/hello"]

4. Named Stages: You can name your stages using AS <NAME> in the FROM instruction. This helps maintain consistency even if instructions are reordered later. 5. Target Build Stage: You can stop the build process at a specific stage using --target. Useful for debugging or creating different versions of your image.

Remember, multi-stage builds optimize your Docker images by keeping only what's necessary. Feel free to explore this powerful feature! 😊

For more details, check out the official Docker documentation. [1] [2] ➡️ Reference links: [1] [2] [3] [4] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

A Dockerfile 🐬 is a text-based document that provides instructions for creating a container image. Let's walk through the basics of writing one: 1. Choose a Base Image: Start by specifying the base image you want to use. It serves as the foundation for your custom image. For example:

FROM node:14

2. Set the Working Directory: Use the WORKDIR instruction to define the working directory inside the container:

WORKDIR /usr/src/app

3. Copy Files: Use COPY or ADD to copy files from your local machine into the image:

COPY package\.json package-lock\.json \./

4. Install Dependencies: Run any necessary commands to install dependencies (e.g., using RUN npm install for Node.js):

RUN npm install

5. Expose Ports: Specify which ports your application will listen on using EXPOSE:

EXPOSE 3000

6. Define Startup Command: Finally, set the command that runs when the container starts:

CMD ["npm", "start"]

Remember, this is just a basic example. You can customize your Dockerfile based on your specific application and requirements.

For a hands-on tutorial, check out this Dockerfile tutorial from Docker's official documentation. [1] ➡️Reference links: [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] 📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚨 Everyone says, 'The best way to learn AWS is to build in the cloud.' BUT... 'How? Where can I get a sample project?' This is the most common question I hear from aspiring and existing cloud engineers. ➡️ Here are 10 handpicked projects you can build for FREE: ➡️ Build a Serverless Web Application: https://lnkd.in/gCgdvmYK ➡️ Create Continuous Delivery Pipeline: https://lnkd.in/gSw_zaVM ➡️ Create and Connect to a MySQL Database with Amazon RDS: https://lnkd.in/gksv8u92 ➡️ Amazon EC2 Backup and Restore Using AWS Backup: https://lnkd.in/gxXBasme ➡️ Batch Upload Files to Amazon S3 Using the AWS CLI: https://lnkd.in/gegNihnk ➡️ Deploy a Web App on AWS Amplify: https://lnkd.in/gPdaC65x ➡️ Remotely Run Commands on an EC2 Instance with AWS Systems Manager: https://lnkd.in/gGvd4SZ7 ➡️ Detect, Analyze, and Compare Faces with Amazon Recognition: https://lnkd.in/g478VkKm ➡️ Create an Audio Transcript with Amazon Transcribe: https://lnkd.in/gukPRryX ➡️ Analyze insights in text with Amazon Comprehend: https://lnkd.in/gw-miUPm ⛔ SHARE if this was helpful to you - to benefit others ♻️ 🛒 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

⛈ Blue-Green Deployments with Kubernetes In this blog, we will discuss how Blue-Green Deployments can be implemented using Kubernetes, one of the most popular container orchestration platforms. We will cover the steps involved in setting up a Blue-Green Deployment in Kubernetes, along with the benefits of using this strategy. 𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘: 🖥 https://prodevopsguy.tech/posts/blue-green-deployments-with-kubernetes ✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

🚀 DevOps Project-09: DevSecOps : Netflix Clone CI-CD with Monitoring | Email 🚀 🔗 Project Link: https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps-Project-09 🌐 Project Overview :- I will be deploying a Netflix clone. I will be using Jenkins as a CICD tool and deploying our application on a Docker container and Kubernetes Cluster and I will monitor the Jenkins and Kubernetes metrics using Grafana, Prometheus and Node exporter. ❤️‍🔥 Share with friends and colleagues ❤️‍🔥 ❤️ Follow for more: @prodevopsguy

🚀 Excited to share some insights on Kubernetes architecture! 🌟 Kubernetes has revolutionized the way we deploy and manage containerized applications, but understanding its architecture can sometimes feel like navigating a complex labyrinth. Fear not! I've simplified it into bite-sized pieces for you. 🎉 🔍 Visual Breakdown: Check out the image below for a simplified visualization of Kubernetes architecture. It's like having a map to guide you through the Kubernetes landscape! 🗺 🧩 Key Components: Let's break it down: Nodes: Think of them as the workers and managers in your application orchestra. Pods: Your application's smallest building blocks, neatly packed containers. Services: Gateways to your applications, ensuring seamless communication. Controllers: The brains behind the operation, ensuring everything runs smoothly. etcd: The reliable memory bank, storing all cluster data securely. API Server, Scheduler, Controller Manager: The command center, orchestrating every move. 🔄 Interactions and Flow: Discover how these components interact with each other, forming a well-choreographed dance of scalability and resilience. 🌱 Continuous Learning: Kubernetes is a vast ecosystem, and there's always more to explore! Dive deeper into its intricacies to unlock its full potential. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!