🚀 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

8 FREE💲Udemy Docker Courses from Beginner to Professional 🚀

➡️ Beginners

🔵 Docker for the Absolute Beginner
➡️ https://lnkd.in/eSDNg-Xv

🟡 Docker Tutorial for Beginners practical hands on -Devops
➡️ https://lnkd.in/eTGeQ_dW

🩷 Docker Essentials
➡️ https://lnkd.in/edTFpFxY

🔴 Docker Before Compose - Learn Docker by Example
➡️ https://lnkd.in/eq3_w-7N

🟤 Learn Docker Quickly: A Hands-on approach to learning docker
➡️ https://lnkd.in/ededr6U2


➡️ Professional

🟢 Are You a PRO Series - Docker & Swarm Real Challenges
➡️ https://lnkd.in/em48h_qK

🔵 Docker Swarm Courses
➡️ https://lnkd.in/emr6AaK8

🔴 Building Application Ecosystem with Docker Compose
➡️ https://lnkd.in/eaa43R2f


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

⚙️ Most Common Kubernetes Basic Errors ⚙️

1️⃣. ImageBackPullOff
We face this issue when the image is not present in registry or the given image tag is wrong.
Make sure you provide correct registry url, image name and image tag.

We might face authentication failures, when image is being stored in a private registry, make sure to create secret with private registry credentials and add created secret in Kubernetes Deployment File to pull docker image.

2️⃣. CrashLoopBackOff
We face this issue when the process deployed inside container not running then the POD will be moved to CrashLoopBackOff.
POD might be running out of CPU or memory, POD should get enough resources allocated that’s cpu and memory for an application to be up and running, to fix that check in Resources Requests and Resources Limits.

3️⃣. OOM Killed - Out Of Memory
We face this issue when PODs tries to utilise more memory than the limits we have set.
We can resolve it by setting appropriate resource request and resource limit.

4️⃣. POD Status - Pending
When nodes might not be ready and required resources like CPU and Memory may not be available in nodes for the PODs to be up and running.

5️⃣. POD Status - Waiting
POD will be scheduled to a node but POD won’t be running in scheduled node.
We can fix this by providing correct image name, image tag and authentication to registry.

6️⃣. POD will be up and running and application is not accessible.
We can fix this by creating appropriate service.
If service is already created and application is still not accessible, make sure application and service are deployed in same namespace.

7️⃣. POD Status - Evicted
We can resolve this by setting appropriate resource requests and resource limits for the PODs and having enough resources in worker nodes.

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

Docker 🐬 & Containers All End-to-End Content 2024 ❤️


⚡️This Includes:
- All Docker-Containers Content
- Docker Realtime scenarios
- All Docker Exercises with solutions
- No More Docker PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Docker file examples for DevOps Engineer

📱 Link : https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/containers


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

📢 Kubernetes All End-to-End Content 2024

▶️ This Includes:
- All Kubernetes Content
- Kubernetes Realtime scenarios
- All Kubernetes Exercises with solutions
- No More AWS PDFs needed
- Easy to Learn from anywhere
- Detailed Explanation guide
- All Kubernetes Tricks & Techniques for DevOps guy
- Added Certified Kubernetes Administrator (CKA) Notes
- All Kubernetes Realtime examples included

📱 Link: https://github.com/NotHarshhaa/into-the-devops/tree/master/topics/kubernetes


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

🚀 Google Cloud CLI Commands for DevOps Engineers 🌐

Get the most out of Google Cloud Platform (GCP) with these essential gcloud commands! Here's a handy reference to help you streamline your DevOps workflows. 📑


🌟 Setup & Configuration
1. Initialize GCP SDK:

   gcloud init

2. Authenticate to GCP:

   gcloud auth login

3. Set Default Project:

   gcloud config set project [PROJECT_ID]

🖥 Compute Engine
1. List VM Instances:

   gcloud compute instances list

2. Create a New VM:

   gcloud compute instances create [INSTANCE_NAME] --zone=[ZONE]

3. Start/Stop/Delete VM:

   gcloud compute instances start [INSTANCE_NAME] --zone=[ZONE]
   gcloud compute instances stop [INSTANCE_NAME] --zone=[ZONE]
   gcloud compute instances delete [INSTANCE_NAME] --zone=[ZONE]

📦 Kubernetes Engine
1. Get Credentials for Cluster:

   gcloud container clusters get-credentials [CLUSTER_NAME] --zone=[ZONE]

2. List GKE Clusters:

   gcloud container clusters list

3. Create/Delete GKE Cluster:

   gcloud container clusters create [CLUSTER_NAME] --zone=[ZONE]
   gcloud container clusters delete [CLUSTER_NAME] --zone=[ZONE]

🗂 Cloud Storage
1. List Buckets:

   gcloud storage ls

2. Create/Delete Bucket:

   gcloud storage buckets create gs://[BUCKET_NAME]
   gcloud storage buckets delete gs://[BUCKET_NAME]

3. Upload/Download Files:

   gcloud storage cp [LOCAL_PATH] gs://[BUCKET_NAME]/[OBJECT_NAME]
   gcloud storage cp gs://[BUCKET_NAME]/[OBJECT_NAME] [LOCAL_PATH]

🗄 BigQuery
1. List Datasets:

   gcloud bigquery datasets list

2. Create/Delete Dataset:

   gcloud bigquery datasets create [DATASET_NAME]
   gcloud bigquery datasets delete [DATASET_NAME]

3. Run Query:

   gcloud bigquery query "SELECT * FROM `[PROJECT_ID].[DATASET].[TABLE]` LIMIT 10"

🛠 Deployment Manager
1. List Deployments:

   gcloud deployment-manager deployments list

2. Create/Delete Deployment:

   gcloud deployment-manager deployments create [DEPLOYMENT_NAME] --config [CONFIG_FILE]
   gcloud deployment-manager deployments delete [DEPLOYMENT_NAME]

🔒 IAM & Security
1. List Service Accounts:

   gcloud iam service-accounts list

2. Create/Delete Service Account:

   gcloud iam service-accounts create [ACCOUNT_NAME]
   gcloud iam service-accounts delete [ACCOUNT_NAME]@[PROJECT_ID].iam.gserviceaccount.com   

🗃 Cloud SQL
1. List Instances:

   gcloud sql instances list

2. Create/Delete SQL Instance:

   gcloud sql instances create [INSTANCE_NAME] --tier=db-n1-standard-1 --region=[REGION]
   gcloud sql instances delete [INSTANCE_NAME]

Keep these commands handy to master Google Cloud like a pro! 🌟

Stay tuned for more DevOps tips and tricks. 🚀


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

➡️ Kubernetes Tools Stack for 2024

Navigating the vast Kubernetes ecosystem can be overwhelming with new tools popping up all the time.

I've put together a list of top tools in key categories to help you stay on top of your game:

✅ Monitoring and Observability
✅ Infrastructure Operations
✅ Container Runtime
✅ Networking
✅ Security
✅ Cluster Management


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

#️⃣JENKINS CI/CD ♾ PIPELINE

1️⃣ User (Developer)
🔣 Role (Code Management and Collaboration): Write, test, and push new code to GitHub. May also be responsible for reviewing pull requests and updating documentation
🔣 How It Works: Developers create new features, fixes, or updates and 'push' this code to GitHub after local testing

2️⃣ GitHub (Code Repository)
🔣 Role (Version Control and Webhooks): Maintains version control and tracks changes in the codebase
🔣 How It Works: Once webhooks are manually set up, GitHub automatically triggers a webhook when the developer pushes new code, sending a notification to Jenkins

3️⃣ Jenkins (Automation Server)
🔣 Role (Continuous Integration and Continuous Delivery): Detects code changes and performs automated tasks like testing and building
🔣 How It Works: Upon receiving the webhook notification from GitHub, Jenkins automatically runs predefined tasks and tests. After successful completion, Jenkins invokes Ansible via a shell command or script

4️⃣ Ansible (Automation and Configuration Management)
🔣 Role (Server Configuration and Deployment): Manages server configurations, can create Docker images, and handles other automation tasks
🔣 How It Works: Following the invocation from Jenkins, Ansible runs predefined scripts to manage server configurations and, if needed, create and prepare a Docker image

5️⃣ Docker (Container Platform)
🔣 Role (Containerization and Orchestration): Creates and manages containers for application deployment, and provides orchestration, networking, and storage features
🔣 How It Works: The Docker image prepared by Ansible is run as a container on the Docker platform

In this way, the process that starts with a developer 'pushing' code to GitHub goes through stages of automated webhook triggering, continuous delivery,

Docker image creation, and container deployment.

All these steps are automated to minimize manual errors and speed up the process.

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

☄️ Shell Script, Prometheus, AWS EKS, Jenkins, Terraform, K8S :-


🔗 Link: https://drive.google.com/drive/folders/1C25f8WAhefPx3ml4fTGuQyjnljI7bTlY?usp=sharing


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

☄️ Terraform Free ✔️ Videos:-


🔗 Link: https://drive.google.com/drive/u/0/mobile/folders/1COG6x8YCEceHTai3w52h9suHZ2H0rHvF


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

🐬 Docker Workflow

It all starts with a developer. They write and test the application's code and define the necessary dependencies and libraries that the application needs to run.

1⃣ Dockerfile: A text document that tells 🐬 how to build and run your application. It defines the environment, dependencies, and runtime parameters using commands like FROM, RUN, COPY, etc.

🔢 Docker Image: Built from the Dockerfile, it's a static snapshot of the application and its environment. This image allows the application to run on any 🐬 platform.

🔢 Docker Container: When Docker Images are run, they create isolated instances known as containers. Each container runs the application in the same way, regardless of the environment.

🔢 Docker Hub: A cloud service to store, share, and manage Docker images. Developers upload their own images, download others', and collaborate on shared images.

This workflow:

➡️ Developer writes the application code
➡️ Dockerfile is prepared with build instructions
➡️ Docker Image is created, encapsulating the application and its dependencies
➡️ Image is used to run Docker Containers for testing or shared on Docker Hub
➡️ Others pull and run the image on their own systems or in production

This process streamlines development and deployment across different environments. 📱

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

🚨 Top 5 Mistakes to Avoid as a DevOps Fresher⚠️

Starting your journey as a DevOps professional? Make sure you're on the right path! Check out my latest article: "Top 5 Mistakes to Avoid as a DevOps Fresher" and learn how to navigate the challenges of this exciting field.

🖥 Read the full article here: https://dev.to/prodevopsguytech/top-5-mistakes-to-avoid-as-a-devops-fresher-41op

In this article, you'll discover:
- Common pitfalls to avoid when starting in DevOps
- Tips to build a strong foundation
- How to stay ahead in your career

Start strong and avoid these rookie mistakes! 💪 #DevOps #Learning #ProDevOpsGuyTech

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

📢 DevOps Real World Projects for Aspiring DevOps Engineers [Beginner to Advanced]


📱 REPO LINK: https://github.com/NotHarshhaa/DevOps-Projects

⭐️ Repository Contents for DevOps Projects from Beginner to Advanced Levels
The repository contains hands-on DevOps projects suitable for individuals at various skill levels, ranging from beginner to advanced.

⭐️ Integration of DevOps Technology with Other Technologies
Projects in this repository showcase the integration of DevOps practices with other cutting-edge technologies such as Machine Learning, Git, GitHub, etc.

⭐️ Project Scope
The projects included cover a wide array of topics within the DevOps domain, providing practical experience and insights into real-world scenarios.

⭐️ Why Explore This Repository?
Whether you're new to DevOps or looking to enhance your skills, this repository offers valuable resources and projects to help you learn and grow in the field.

🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩🟩

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

⏩ Here is a wonderfully prepared DevSecOps roadmap and a follow-up training course.

Pre-Requisites
---------------
-> Be able to build a complete CI/CD Pipeline
-> Docker
-> Kubernetes
-> Linux
-> Git
-> AWS Platform
-> IaC with Terraform
-> GitLab CI/CD

Most Comprehensive DevSecOps Course
-----------------------------------------
1 - Introduction to DevSecOps
-> Importance of Security
-> Types of Security Attacks​
-> OWASP Top Ten
-> What is DevSecOps
-> Tools for Automated Security Tests
-> Understand DevSecOps Concepts and Roles

2- Build Secure CI ​
​-> Vulnerability Scanning:
​- Pre-Commit Hooks
- SAST and SCA
- Visualizing, False Positive Analysis
- Remediation
-> Integrate Security Scans in a Continuous Integration Pipeline
​
➡️ Tools: GitLeaks, njsScan, Semgrep, Retire.js, DefectDojo, GitLab CI

3- Build Secure Images
-> Docker Security Best Practices
-> Image Scanning in Release Pipeline
-> Image Scanning in Docker Registry
​
➡️ Tools: Trivy, Docker, AWS ECR, GitLab CI

4 - Cloud Security (AWS)
-> AWS Access Management (Users, Groups, Roles, Policies)
-> AWS Security IaC
-> AWS Logging and Monitoring

5 - Secure Deployment
-> Secure Application Deployment from Release Pipeline
-> AWS Systems Manager Agent (SSM)
-> AWS Roles for deployment
-> Deploying without static AWS Credentials

6 - Dynamic Application Security Testing (DAST)
-> Dynamic Application Security testing
-> Integrate DAST tool in Release Pipeline
-> Fixing Dynamic Scan Findings
-> Baseline vs Full Scans
​
➡️ Tools: OWASP Zap, DefectDojo

7 - Secure Infrastructure as Code
-> Define Secure Infrastructure with IaC
-> IaC in DevSecOps
-> Create Release Pipeline for IaC Project using GitOps Practices
-> Run Security Checks for IaC code in Release Pipeline
​
➡️ Tools: Terraform, AWS, TFSec

8 - AWS Logging and Monitoring
-> Auditing with AWS CloudTrail​
-> Monitoring and Alerting with AWS CloudWatch
-> Billing Alerts

9 - Securing K8s & Secure Deployment to EKS
-> Istio Service Mesh
-> Secret Management
- K8s Secrets
- HashiCorp Vault
- AWS KMS and Secrets Manager
-> Key K8s Security Practices
- RBAC​
- IAM Roles for AWS EKS, ECR
- Scanning for Misconfigurations & Security Vulnerabilities
-> Security Policies
- Open Policy Agent (OPA)​
- Policy as Code

10 - Observability
-> Incident Management
-> Integrating Logging and Auditing into SDLO

11 - Governance & Compliance as Code
-> CIS Benchmarks
-> Governance & Compliance
-> Compliance as Code

12 - Organizational Security
-> Strategies for promoting a DevSecOps culture
-> Steps for adopting DevSecOps Principles in Organization


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

🚀 Exciting Update for DevOps Tool Installer! 🚀

We’ve made it even easier to install and manage your favorite DevOps tools! 🎉

✨ What’s New?
- Two Installation Methods: You can now run the script directly without cloning the repo, or choose to clone it as before.
- Enhanced Flexibility: Pick the method that best suits your workflow!

🔧 Tools Supported: Docker, Kubernetes, Terraform, Jenkins, AWS CLI, and more!

Check it out now on 📱 GitHub and make your DevOps setup smoother than ever! 🌟


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

🟥 Free Resources
➡️ Microsoft Certified Azure Solutions Architect Pathway

➡️ Foundations
✔️ Exam AZ-900: Microsoft Azure Fundamentals
🔗 https://lnkd.in/g4NRXQNF

➡️ Administrator
✔️ Exam AZ-104: Microsoft Azure Administrator
🔗 https://lnkd.in/gfpEkQCn

➡️ Expert
✔️ Exam AZ-305: Designing Microsoft Azure Infrastructure Solutions
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✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

👾 CICD vs. CICD? You might be saying it wrong...

While CICD gets thrown around a lot, it actually refers to two separate practices that work together in the software development lifecycle: Continuous Integration (CI) and Continuous Delivery/Deployment (CD).

Here's a quick breakdown:

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 (𝗖𝗜): Automates the process of merging code changes from developers into a shared mainline frequently. This means every push triggers builds, tests, and catches bugs early on.

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆/𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 (𝗖𝗗): Takes CI a step further. It automates the entire delivery pipeline, allowing you to release new features or bug fixes to production environments quickly and reliably. CD can include manual approval gates before deployment, while Continuous Deployment (CD) automates deployments entirely.

Here's the key difference:

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Gives you a "deploy button" - the code is ready to be pushed to production with a manual go-ahead.

➡️𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Takes it a step further. If all automated tests pass in CD, the code is automatically deployed to production without human intervention.


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