🚀 Just Published: The Ultimate DevOps Roadmap for Beginners! 🔥


🖥 Check it out here: The Ultimate DevOps Roadmap for Beginners: Skills, Tools, and Resources

Want to break into the world of DevOps? This comprehensive guide covers all the essential skills, tools, and resources you need to get started and thrive as a DevOps engineer!

🔧 Learn about:
- Core technical skills
- Must-have DevOps tools 🛠
- Cloud platforms 🌐
- CI/CD, IaC, Containers, and more!

🎯 Whether you're a beginner or looking to upskill, this roadmap has everything you need.

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

🚀 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 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 our community: @devcloudninjas

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 @devcloudninjas 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devcloudninjas

🚀 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 @devcloudninjas 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!! // Join for DevOps DOCs: @devcloudninjas

➡️Useful Terraform commands along with brief explanations:- ❤️

1. terraform init: Initializes a working directory containing Terraform configuration files.
2. terraform plan: Generates an execution plan, outlining actions Terraform will take.
3. terraform apply: Applies the changes described in the Terraform configuration.
4. terraform destroy: Destroys all resources described in the Terraform configuration.
5. terraform validate: Checks the syntax and validity of Terraform configuration files.
6. terraform refresh: Updates the state file against real resources in the provider.
7. terraform output: Displays the output values from the Terraform state.
8. terraform state list: Lists resources within the Terraform state.
9. terraform show: Displays a human-readable output of the current state or a specific resource's state.
10. terraform import: Imports existing infrastructure into Terraform state.
11. terraform fmt: Rewrites Terraform configuration files to a canonical format.
12. terraform graph: Generates a visual representation of the Terraform dependency graph.
13. terraform providers: Prints a tree of the providers used in the configuration.
14. terraform workspace list: Lists available workspaces.
15. terraform workspace select: Switches to another existing workspace.
16. terraform workspace new: Creates a new workspace.
17. terraform workspace delete: Deletes an existing workspace.
18. terraform output: Retrieves output values from a module.
19. terraform state mv: Moves an item in the state.
20. terraform state pull: Pulls the state from a remote backend.
21. terraform state push: Pushes the state to a remote backend.
22. terraform state rm: Removes items from the state.
23. terraform taint: Manually marks a resource for recreation.
24. terraform untaint: Removes the 'tainted' state from a resource.
25. terraform login: Saves credentials for Terraform Cloud.
26. terraform logout: Removes credentials for Terraform Cloud.
27. terraform force-unlock: Releases a locked state.
28. terraform import: Imports existing infrastructure into your Terraform state.
29. terraform plan -out: Saves the generated plan to a file.
30. terraform apply -auto-approve: Automatically applies changes without requiring approval.
31. terraform apply -target=resource: Applies changes only to a specific resource.
32. terraform destroy -target=resource: Destroys a specific resource.
33. terraform apply -var="key=value": Sets a variable's value directly in the command line.
34. terraform apply -var-file=filename.tfvars: Specifies a file containing variable definitions.
35. terraform apply -var-file=filename.auto.tfvars: Automatically loads variables from a file.


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

📣 Hiring DevOps Freshers 💥

✉️ hr@althisolutions.com


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

▶️ 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗦𝘂𝗰𝗰𝗲𝘀𝘀! 📱

Are you ready to unlock the power of Ansible and boost your DevOps workflows? Here's a quick breakdown of the core concepts, tips, and tricks to get you on the right path to efficient automation. 👇

⭐️ 𝗖𝗼𝗿𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
𝗣𝗹𝗮𝘆𝗯𝗼𝗼𝗸𝘀 📜
YAML files where automation lives! Write them to describe the desired state of your infrastructure.
𝗧𝗶𝗽: Keep them simple and modular for readability.

𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝗶𝗲𝘀 📂
Define your hosts and groups of servers here.
𝗧𝗶𝗽: Use dynamic inventory scripts for cloud platforms like AWS to stay updated.

𝗠𝗼𝗱𝘂𝗹𝗲𝘀 🧩
Predefined functions that automate tasks like installing packages, copying files, etc.
𝗧𝗶𝗽: Make use of idempotent modules to ensure consistent results!

𝗥𝗼𝗹𝗲𝘀 🏗️
Group related tasks, variables, and handlers in roles to keep things organized.
𝗧𝗶𝗽: Share your roles with others through Ansible Galaxy.

𝗛𝗮𝗻𝗱𝗹𝗲𝗿𝘀 🚦
Respond to changes and only run tasks when necessary.
𝗧𝗶𝗽: Use handlers to restart services or trigger additional tasks, minimizing downtime.

💡 𝗧𝗶𝗽𝘀 & 𝗧𝗿𝗶𝗰𝗸𝘀
𝗔𝘃𝗼𝗶𝗱 𝗛𝗮𝗿𝗱𝗰𝗼𝗱𝗶𝗻𝗴 ⛔: Use variables and parameterize your playbooks to keep them flexible.
𝗨𝘀𝗲 𝗧𝗮𝗴𝘀 🏷️: Assign tags to tasks and run specific parts of playbooks without executing everything.
𝗗𝗿𝘆 𝗥𝘂𝗻 (𝗖𝗵𝗲𝗰𝗸 𝗠𝗼𝗱𝗲) 🔍: Always test before execution with --check mode to ensure no surprises.
𝗬𝗔𝗠𝗟 𝗙𝗼𝗿𝗺𝗮𝘁𝘁𝗶𝗻𝗴 🖋️: Stick to best YAML practices for indentation and structure—Ansible is strict about it!

🛠 Example
𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Configuring 100 EC2 instances with different setups manually is tedious and error-prone. 😓
𝗔𝗰𝘁𝗶𝗼𝗻: Create a dynamic inventory, use roles to define common configurations, and execute your playbook across all instances. 🚀
𝗥𝗲𝘀𝘂𝗹𝘁: Successfully 𝗰𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗲𝗱 𝗮𝗹𝗹 𝟭𝟬𝟬 𝗶𝗻𝘀𝘁𝗮𝗻𝗰𝗲𝘀 𝗶𝗻 𝗺𝗶𝗻𝘂𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝘇𝗲𝗿𝗼 𝗺𝗮𝗻𝘂𝗮𝗹 𝗲𝗿𝗿𝗼𝗿𝘀. 🎉

🔥 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗔𝗻𝘀𝗶𝗯𝗹𝗲?
𝗔𝗴𝗲𝗻𝘁𝗹𝗲𝘀𝘀: No need to install agents on nodes.
𝗜𝗱𝗲𝗺𝗽𝗼𝘁𝗲𝗻𝗰𝘆: Ensures tasks are executed exactly as intended.
𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Perfect for small to large infrastructures.

🔔 Action Time! If you want to streamline your DevOps automation and master Ansible, start now!

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

🔔 Here is a list of some Resume Ready DevOps projects (Part-II)

➡️ Real-Time CI CD Pipeline From Scratch with Jenkins:-
🔗 https://lnkd.in/day6k4GE

➡️ Creating AWS EKS Cluster using Terraform:-
🔗 https://lnkd.in/gjtjHuw4

➡️ Cost Optimization through AWS Lambda Function:-
🔗 https://lnkd.in/drDazJ9E

➡️ AWS Ninja — Convert EBS Volume from gp2 to gp3:-
🔗 https://lnkd.in/d6mUFdEK

➡️ Real-World CI/CD DevSecOps Pipeline for Deployment of Python Web-app:-
🔗 https://lnkd.in/d-TJisDn

➡️ AWS S3 Event Triggering Shell Script Used by Netflix, Airbnb, Adobe, Expedia, and Others :-
🔗 https://lnkd.in/dXhzdwP8

➡️ Deploy Multi Stage CICD Pipeline with Amazon EKS :-
🔗 https://lnkd.in/dEn7Vexj

➡️ Deploying Spring Boot application on K8S :-
🔗 https://lnkd.in/d8E_N_eg

➡️ Netflix Clone application via K8's:-
🔗 https://lnkd.in/d2zBUdMG
🔗 https://lnkd.in/dPVTDK9r

➡️ Deploy a Flask Application to a EKS Cluster using Jenkins and ArgoCD :-
🔗 https://lnkd.in/dn8WtnWj


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

🔔 Here is a list of some Resume Ready DevOps projects.(Part-III)


➡️ Deploying Super Mario on Amazon EKS
🔗 (https://lnkd.in/d2JVCw6M)

➡️ 🚀 Designing a 10-Microservices Application Deployment on EKS! 🤖
🔗 (https://lnkd.in/dFuq9mMA)

➡️ Uber Clone DevSecOps Project
🔗 (https://lnkd.in/dTXm9_h9)

➡️ 3-Tier Robot Shop App On EKS
🔗 (https://lnkd.in/dtFK8Xj7)

➡️ Full Stack CICD Virtual Browser Project
🔗 (https://lnkd.in/d2ZErR2b)


💬 𝗙𝗼𝗹𝗹𝗼𝘄 @devcloudninjas 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

Route 53 Routing Policies 🚀

Route 53 is a powerful DNS service by AWS, offering various routing policies to manage traffic.

🔢. Simple Routing
- Most straightforward approach, good for single resources.
- Routes traffic to a single endpoint, like a web server or an elastic load balancer.
- Easy to set up and manage.

🔢. Weighted Routing
- Distributes traffic across multiple resources.
- Controls traffic distribution based on predefined weights.
- Great for load balancing and testing new deployments.

🔢. Failover Routing
- Routes traffic to a primary resource, with a secondary resource on standby.
- Automatically routes the traffic to the secondary resource if the primary resource goes into an unhealthy state or fails.
- Ensures high availability.


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

🛠 Essential Azure CLI Commands for DevOps Engineers 🛠


📌 Setup and Configuration:

# Install Azure CLI
curl -sL https://aka.ms/InstallAzureCLIDeb | sudo bash

# Login to Azure
az login

# Set default subscription
az account set --subscription <subscription-id>

📌 Resource Groups:

# List resource groups
az group list

# Create resource group
az group create --name <resource-group-name> --location <location>

# Delete resource group
az group delete --name <resource-group-name> --yes --no-wait

📌 VM Management:

# List VMs
az vm list

# Create VM
az vm create --resource-group <resource-group-name> --name <vm-name> --image <image> --admin-username <username> --admin-password <password>

# Start VM
az vm start --resource-group <resource-group-name> --name <vm-name>

# Stop VM
az vm stop --resource-group <resource-group-name> --name <vm-name>

📌 Storage Accounts:

# List storage accounts
az storage account list

# Create storage account
az storage account create --name <account-name> --resource-group <resource-group-name> --location <location> --sku <sku>

# Delete storage account
az storage account delete --name <account-name> --resource-group <resource-group-name>

📌 Azure Kubernetes Service (AKS):

# List AKS clusters
az aks list

# Create AKS cluster
az aks create --resource-group <resource-group-name> --name <cluster-name> --node-count <node-count> --enable-addons monitoring --generate-ssh-keys

# Get AKS credentials
az aks get-credentials --resource-group <resource-group-name> --name <cluster-name>

📌 App Services:

# List App Services
az webapp list

# Create App Service
az webapp create --resource-group <resource-group-name> --plan <app-service-plan> --name <app-name> --runtime <runtime>

# Delete App Service
az webapp delete --resource-group <resource-group-name> --name <app-name>

📌 Azure DevOps:

# List Azure DevOps organizations
az devops organization list

# Create Azure DevOps project
az devops project create --name <project-name> --organization <organization-url>

# List Azure DevOps pipelines
az pipelines list --organization <organization-url> --project <project-name>

# Run Azure DevOps pipeline
az pipelines run --name <pipeline-name> --organization <organization-url> --project <project-name>

📌 Azure Monitor:

# List monitor activity logs
az monitor activity-log list

# Create alert rule
az monitor metrics alert create --name <alert-name> --resource-group <resource-group-name> --scopes <resource-id> --condition "<condition>" --action <action-group-id>

🔗 For more detailed commands and options, refer to the Azure CLI Command Reference


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🔧 Kubernetes Commands for DevOps Engineers 🚀


Here’s a handy list of essential Kubernetes commands to streamline your workflow and boost your productivity. Save this post for quick reference! 📌


🔹 Cluster Management:

# Check cluster info
kubectl cluster-info

# Get all nodes
kubectl get nodes

# Describe a node
kubectl describe node <node-name>

# Check cluster health
kubectl get componentstatuses

🔹 Namespaces:

# List all namespaces
kubectl get namespaces

# Create a namespace
kubectl create namespace <namespace-name>

# Delete a namespace
kubectl delete namespace <namespace-name>

🔹 Pods:

# List all pods in the default namespace
kubectl get pods

# List pods in a specific namespace
kubectl get pods -n <namespace>

# Describe a pod
kubectl describe pod <pod-name>

# Delete a pod
kubectl delete pod <pod-name>

🔹 Deployments:

# List all deployments
kubectl get deployments

# Create a deployment
kubectl create deployment <deployment-name> --image=<image-name>

# Update a deployment
kubectl set image deployment/<deployment-name> <container-name>=<new-image>

# Scale a deployment
kubectl scale deployment <deployment-name> --replicas=<number>

# Delete a deployment
kubectl delete deployment <deployment-name>

🔹 Services:

# List all services
kubectl get services

# Create a service
kubectl expose deployment <deployment-name> --type=<type> --port=<port>

# Describe a service
kubectl describe service <service-name>

# Delete a service
kubectl delete service <service-name>

🔹 ConfigMaps & Secrets:

# List all ConfigMaps
kubectl get configmaps

# Create a ConfigMap
kubectl create configmap <configmap-name> --from-literal=<key>=<value>

# List all Secrets
kubectl get secrets

# Create a Secret
kubectl create secret generic <secret-name> --from-literal=<key>=<value>

🔹 Persistent Volumes & Claims:

# List all persistent volumes
kubectl get pv

# List all persistent volume claims
kubectl get pvc

# Create a persistent volume
kubectl apply -f <persistent-volume-definition>.yaml

# Create a persistent volume claim
kubectl apply -f <persistent-volume-claim-definition>.yaml

🔹 Logs & Monitoring:

# View logs of a pod
kubectl logs <pod-name>

# View logs of a specific container in a pod
kubectl logs <pod-name> -c <container-name>

# Stream logs of a pod
kubectl logs -f <pod-name>

🔹 Troubleshooting:

# Get events
kubectl get events

# Describe a resource
kubectl describe <resource-type> <resource-name>

# Exec into a pod
kubectl exec -it <pod-name> -- /bin/bash

🔹 Custom Resources:

# List custom resource definitions
kubectl get crd

# Describe a custom resource
kubectl describe crd <custom-resource-name>

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⛈ Knowing these 20 AWS ☁️ services makes you an AWS DevOps expert!

⏩Infra as code
- AWS CloudFormation
- AWS CDK

⏩Monitoring & Logging
- AWS CloudWatch
- AWS CloudTrail

⏩CI/CD
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy

⏩Configuration Management
- AWS Systems Manager
- AWS OpsWorks

⏩Security
- AWS IAM
- AWS KMS

⏩Networking
- AWS VPC
- AWS Direct Connect

⏩Containers
- AWS ECS
- AWS ECR
- AWS EKS

⏩Serverless
- AWS Lambdas
- AWS API Gateway

⏩Databases
- AWS RDS
- AWS DynamoDB


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60 Terms & Services which every DevOps ♾ Engineer should be aware of:

1. Continuous Integration (CI): Automates code integration.
2. Continuous Deployment (CD): Automated code deployment.
3. Version Control System (VCS): Manages code versions.
4. Git: Distributed version control.
5. Jenkins: Automation server for CI/CD.
6. Build Automation: Automates code compilation.
7. Artifact: Build output package.
8. Maven: Build and project management.
9. Gradle: Build automation tool.
10. Containerization: Application packaging and isolation.
11. Docker: Containerization platform.
12. Kubernetes: Container orchestration.
13. Orchestration: Automated coordination of components.
14. Microservices: Architectural design approach.
15. Infrastructure as Code (IaC): Manage infrastructure programmatically.
16. Terraform: IaC provisioning tool.
17. Ansible: IaC automation tool.
18. Chef: IaC automation tool.
19. Puppet: IaC automation tool.
20. Configuration Management: Automates infrastructure configurations.
21. Monitoring: Observing system behavior.
22. Alerting: Notifies on issues.
23. Logging: Recording system events.
24. ELK Stack: Log management tools.
25. Prometheus: Monitoring and alerting toolkit.
26. Grafana: Visualization platform.
27. Application Performance Monitoring (APM): Monitors app performance.
28. Load Balancing: Distributes traffic evenly.
29. Reverse Proxy: Forwards client requests.
30. NGINX: Web server and reverse proxy.
31. Apache: Web server and reverse proxy.
32. Serverless Architecture: Code execution without servers.
33. AWS Lambda: Serverless compute service.
34. Azure Functions: Serverless compute service.
35. Google Cloud Functions: Serverless compute service.
36. Infrastructure Orchestration: Automates infrastructure deployment.
37. AWS CloudFormation: IaC for AWS.
38. Azure Resource Manager (ARM): IaC for Azure.
39. Google Cloud Deployment Manager: IaC for GCP.
40. Continuous Testing: Automated testing at all stages.
41. Unit Testing: Tests individual components.
42. Integration Testing: Tests component interactions.
43. System Testing: Tests entire system.
44. Performance Testing: Evaluates system speed.
45. Security Testing: Identifies vulnerabilities.
46. DevSecOps: Integrates security in DevOps.
47. Code Review: Inspection for quality.
48. Static Code Analysis: Examines code without execution.
49. Dynamic Code Analysis: Analyzes running code.
50. Dependency Management: Handles code dependencies.
51. Artifact Repository: Stores and manages artifacts.
52. Nexus: Repository manager.
53. JFrog Artifactory: Repository manager.
54. Continuous Monitoring: Real-time system observation.
55. Incident Response: Manages system incidents.
56. Site Reliability Engineering (SRE): Ensures system reliability.
57. Collaboration Tools: Facilitates team communication.
58. Slack: Team messaging platform.
59. Microsoft Teams: Collaboration platform.
60. ChatOps: Collaborative development through chat.


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