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

🐬 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

☄️ 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

☄️ 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

➡️ 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!!!

🚀 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 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

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

⚙️ 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

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🚀 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

🚀 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

🛠 Essential AWS CLI Commands for DevOps Engineers 🛠 📌 Setup and Configuration:

# Install AWS CLI
pip install awscli

# Configure AWS CLI
aws configure

📌 IAM:

# List IAM users
aws iam list-users

# Create IAM user
aws iam create-user --user-name <username>

# Attach policy to IAM user
aws iam attach-user-policy --user-name <username> --policy-arn arn:aws:iam::aws:policy/<policy-name>

📌 EC2:

# List all EC2 instances
aws ec2 describe-instances

# Start an EC2 instance
aws ec2 start-instances --instance-ids <instance-id>

# Stop an EC2 instance
aws ec2 stop-instances --instance-ids <instance-id>

📌 S3:

# List all S3 buckets
aws s3 ls

# Upload file to S3 bucket
aws s3 cp <file-path> s3://<bucket-name>/<file-key>

# Download file from S3 bucket
aws s3 cp s3://<bucket-name>/<file-key> <file-path>

📌 RDS:

# List RDS instances
aws rds describe-db-instances

# Start RDS instance
aws rds start-db-instance --db-instance-identifier <instance-id>

# Stop RDS instance
aws rds stop-db-instance --db-instance-identifier <instance-id>

📌 CloudWatch:

# List CloudWatch log groups
aws logs describe-log-groups

# Create CloudWatch log group
aws logs create-log-group --log-group-name <log-group-name>

📌 Elastic Beanstalk:

# List Elastic Beanstalk environments
aws elasticbeanstalk describe-environments

# Update environment to new version
aws elasticbeanstalk update-environment --environment-name <env-name> --version-label <version-label>

📌 CloudFormation:

# List CloudFormation stacks
aws cloudformation describe-stacks

# Create CloudFormation stack
aws cloudformation create-stack --stack-name <stack-name> --template-body file://<template-file>

# Update CloudFormation stack
aws cloudformation update-stack --stack-name <stack-name> --template-body file://<template-file>

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

⛈ Free DevOps Courses ⚡️ Introduction to DevOps : https://lnkd.in/eewbW8xF ⚡️ IBM Applied DevOps Engineering : https://lnkd.in/erfsfEzm ⚡️ Python Scripting for DevOps Specialization : https://lnkd.in/ejaHRK8q ⚡️ Continuous Delivery & DevOps : https://lnkd.in/eBuU9Gb6 ⚡️ Introduction to DevOps (Great Learning) : https://lnkd.in/e4h_vt8B ⚡️ Getting Started with DevOps on AWS : https://lnkd.in/ejchJqDN ⚡️ Introduction to DevOps (Codeacademy) : https://lnkd.in/ek-bXi8r ⚡️ DevOps - For Beginners : https://lnkd.in/ecUVWb36 ⚡️ DevOps 101: What is DevOps? : https://lnkd.in/ezPfGTkU ⚡️ Bonus: Live Workshop - https://brij.guru/ai 🛒 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs

➡️ Let's compare Azure and AWS to help you decide which one might be better for beginners: 1. Market Share: ➡️Azure: Holds a 24% share of the worldwide market. ➡️AWS: Has a 31% share of the global computing market[1]. 2. Availability Zones: ➡️Azure: Offers 140 availability zones. ➡️AWS: Provides 105 availability zones[1]. 3. Storage Services: ➡️Azure: Blob Storage Containers Azure Drive Table Storage ➡️AWS: S3 Buckets EBS (Elastic Block Store) SDB domains DynamoDB 4. Networking Services: ➡️Azure: Virtual Network Azure Connect Balancing Endpoints ➡️AWS: Virtual Private Cloud (VPC) Route 53 ELB (Elastic Load Balancing) 5. Security and Permissions: ➡️Azure: Offers permissions on the whole account. ➡️AWS: Provides security using defined roles with permission control features. 6. Ease of Use: ➡️Azure: Generally user-friendly. ➡️AWS: Offers a diverse toolkit but can be overwhelming for beginners. 7. Deployment Services: ➡️Azure: Uses \.cspkg (fancy zip file) or uploads via portal/API. ➡️AWS: Supports various deployment models, including Elastic Beanstalk and CloudFormation. 8. Pricing Models: ➡️Azure: Free trial, pay per minute. ➡️AWS: Free tier, pay per hour (rounded up). 9. Popularity and Applications: ➡️Azure is known for seamless Windows integration. ➡️AWS is widely used and trusted by companies like Adobe, Airbnb, and Netflix[1]. 10. Overall: ➡️ Azure excels in Platform-as-a-Service (PaaS) and Windows integration. ➡️ AWS offers robust Infrastructure-as-a-Service (IaaS) and a diverse toolkit. ➡️Both platforms are near equals in most use cases[2] In summary, both Azure and AWS have their strengths. For beginners, Azure might be more approachable due to its user-friendliness, while AWS provides a vast ecosystem of services. Consider your specific needs and preferences when choosing between them! 🌐🚀[1] [2]. ➡️Reference links: [1] [2] [3] ❤️ 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!!!

How to Get Into DevOps? There isn't a one-size-fits-all path to DevOps. If you come from a background in development, QA, performance, or support, you should focus on learning about the Cloud, infrastructure automation, container orchestration, and CI/CD. Most importantly, you must work on real-world use cases. If you are a fresher, you must concentrate on IT fundamentals, programming, OS concepts, Cloud, and Containers. Getting a job in the DevOps domain as a newcomer can be challenging. Internships are a good starting point. This is because most companies (primarily service-based) seek experienced individuals who can immediately contribute to projects. As the well knowledged person, I've noticed that clients always prefer hiring experienced professionals. Dedicate yourself to learning and avoid shortcuts. With hard work, luck will naturally come your way. ☺️ 🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!