Cloud Community By ProDevOpsGuy Tech
Top 10 Google Cloud Services for Every DevOps Engineer 🚀
Google Cloud Platform (GCP) offers a wide range of services tailored for DevOps engineers to automate, manage, and streamline their workflows. Here are the top 10 Google Cloud services essential for every DevOps engineer, explained in detail.
1. Goog...
1. Goog...
Top 10 ☁️ Google Cloud Services for Every DevOps Engineer 🚀
🖥 https://cloud.prodevopsguy.xyz/top-10-google-cloud-services-for-every-devops-engineer
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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The below illustration shows some common container commands and their syntax 👇
1.
docker run -it --name nginx nginx
2.
docker start nginx
3.
docker restart nginx
4.
docker pause nginx
5.
docker unpause nginx
6.
docker stop nginx
7.
docker kill nginx
8.
docker ps
9.
docker exec -it nginx /bin/bash
10.
docker attach nginx
11.
docker logs nginx
12.
docker rename old-name new-name
13.
docker inspect nginx
14.
docker cp nginx:/container-path/file.txt /local-path
15.
docker rm nginx
These container commands are essential for managing containerized applications, whether for development, testing, or production deployment, as they enable efficient control and manipulation of container instances.
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Whether you're a beginner or seasoned developer, understanding Git basics is a must!
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𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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Top 100 ♾ DevOps Interview Questions and Answers (Beginners to Advanced)
🖥 https://blog.prodevopsguy.xyz/top-100-devops-interview-questions-and-answers
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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- Create a new project:
oc new-project <project-name>
- Switch to a project:
oc project <project-name>
- Delete a project:
oc delete project <project-name>
- List all pods:
oc get pods
- Describe a specific pod:
oc describe pod <pod-name>
- Delete a pod:
oc delete pod <pod-name>
- Deploy a new application:
oc new-app <image-name>
- View deployment status:
oc status
- Start a new build:
oc start-build <build-config-name>
- List all services:
oc get services
- Create a new route:
oc expose svc/<service-name>
- Get route details:
oc get route <route-name>
- Create a ConfigMap:
oc create configmap <configmap-name> --from-literal=<key>=<value>
- Create a Secret:
oc create secret generic <secret-name> --from-literal=<key>=<value>
- List all ConfigMaps and Secrets:
oc get configmaps
oc get secrets
- View pod logs:
oc logs <pod-name>
- Open a terminal session in a pod:
oc rsh <pod-name>
- Get events in the project:
oc get events
- Add a user to a project:
oc adm policy add-role-to-user <role> <user> -n <project-name>
- Get current user details:
oc whoami
Keep these commands handy to streamline your DevOps processes in OpenShift!
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Getting started with Azure is a great choice for cloud computing. Here are some steps to help you begin:
1. Create an Azure Account:
Go to the Azure free account page and click "Start free."
Sign in using your Microsoft or GitHub account.
Provide your details (name, email, contact number) and verify your identity.
Review and accept the agreement and privacy statement.
2. Explore Azure Services:
Visit the Azure portal.
Use the search bar to find the Quickstart Center or select it from the All services menu.
In the Quickstart Center, explore the tabs:
Get started: Learn the basics of Azure through demos and live Q&A sessions.
Projects and guides: Choose projects and follow step-by-step guides.
Take an online course: Dive deeper into specific topics.
3. Watch How-To Videos:
Check out the Azure videos to learn how to work with Azure services in the portal.
4. Learn from Documentation and Training:
Read the Azure developer guide.
Access Azure documentation, example code, and tutorials for all services.
Follow the Azure Fundamentals online learning path.
5. Start Building:
Create your first solution in Azure using the Azure Quickstart Center.
Explore options like creating virtual machines, building web apps, using Azure SQL Database, and integrating AI services.
➡️ Reference links: [1] [2] [3] [4] [5] [6] [7]
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
1. Create an Azure Account:
Go to the Azure free account page and click "Start free."
Sign in using your Microsoft or GitHub account.
Provide your details (name, email, contact number) and verify your identity.
Review and accept the agreement and privacy statement.
2. Explore Azure Services:
Visit the Azure portal.
Use the search bar to find the Quickstart Center or select it from the All services menu.
In the Quickstart Center, explore the tabs:
Get started: Learn the basics of Azure through demos and live Q&A sessions.
Projects and guides: Choose projects and follow step-by-step guides.
Take an online course: Dive deeper into specific topics.
3. Watch How-To Videos:
Check out the Azure videos to learn how to work with Azure services in the portal.
4. Learn from Documentation and Training:
Read the Azure developer guide.
Access Azure documentation, example code, and tutorials for all services.
Follow the Azure Fundamentals online learning path.
5. Start Building:
Create your first solution in Azure using the Azure Quickstart Center.
Explore options like creating virtual machines, building web apps, using Azure SQL Database, and integrating AI services.
Remember, you can enjoy popular Azure services free for 12 months, with more than 55 services free always, and a $200 credit in your first 30 days. Happy exploring!🚀 🌐
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DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning
We added Cloud/DevOps certifications content a few minutes ago
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- Optimizes the overall size of the Docker image
- Removes the burden of creating multiple Dockerfiles for different stages
- Easy to debug a particular build stage
- Able to use the previous stage as a new stage in the new environment
- Ability to use the cached image to make the overall process quicker
- Reduces the risk of vulnerabilities found as the image size becomes smaller with multi-stage builds
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ProDevOpsGuy Tech Community
🌟 Different types of DevOps and Cloud Roles and Their Activities 🌟
The integration of DevOps practices with cloud technologies has revolutionized how software is developed, deployed, and managed. Various specialized roles have emerged to support these practices, each with specific responsibilities and expertise. Bel...
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This guide will cover everything required to deploy an example Azure Service Bus instance via Terraform and ADO.
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roadmap.sh
DevOps Roadmap: Learn to become a DevOps Engineer or SRE
Step by step guide for DevOps, SRE or any other Operations Role in 2026
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Horizontal vs Vertical Scaling 🚀
➡️ Horizontal Scaling (Scaling Out)
Instead of upgrading a single machine, we add more machines or servers to share the load.
✅ Some benefits of horizontal scaling are: helps us to enhance reliability (no single point of failure), better load distribution, simple to implement, costs less, fewer points of downtime.
➡️ Vertical Scaling (Scaling Up)
We upgrade our existing servers/machines with more powerful hardware such as more memory, CPU, storage, etc.
✅ Some benefits of vertical scaling are: are simple to manage (fewer servers to handle), faster performance for specific tasks, and no need to reconfigure systems for multiple servers, less complicated maintenance.
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Instead of upgrading a single machine, we add more machines or servers to share the load.
We upgrade our existing servers/machines with more powerful hardware such as more memory, CPU, storage, etc.
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Monitor Data Transfer with Pipe Viewer (pv) 🚀
Imagine migrating a website and manually transferring data from a local SQL file (around 450MB) to a new MySQL database hosted on a managed service like RDS.
We can use the Pipe Viewer (pv) utility to track the progress.
- pv, or Pipe Viewer, is a command-line tool that allows you to monitor data transfer progress within your terminal.
- pv can be inserted into any data transfer pipeline between two processes.
➡️ This provides valuable insights such as:
- Transfer speed
- Elapsed time
- Completion percentage
- Estimated time remaining
𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Here's a command demonstrating how to use pv during an import:
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
Imagine migrating a website and manually transferring data from a local SQL file (around 450MB) to a new MySQL database hosted on a managed service like RDS.
We can use the Pipe Viewer (pv) utility to track the progress.
- pv, or Pipe Viewer, is a command-line tool that allows you to monitor data transfer progress within your terminal.
- pv can be inserted into any data transfer pipeline between two processes.
- Transfer speed
- Elapsed time
- Completion percentage
- Estimated time remaining
𝗘𝘅𝗮𝗺𝗽𝗹𝗲: Here's a command demonstrating how to use pv during an import:
pv backup.sql | mysql -h rds-amazonaws-com -u <user-name> -p <db-name>
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www.prodevopsguy.site
𝐏𝐫𝐨𝐃𝐞𝐯𝐎𝐩𝐬𝐆𝐮𝐲 ♾️ 𝐅𝐫𝐞𝐞 𝐃𝐞𝐯𝐎𝐩𝐬/𝐂𝐥𝐨𝐮𝐝 𝐖𝐨𝐫𝐥𝐝
Free DevOps/Cloud World
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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www.prodevopsguy.site
DevOps Real-time Day to Day activities by DevOps Engineer
The daily activities of a DevOps engineer can vary depending on the specific organization, project, and team structure.
However, here are some common tasks and responsibilities that DevOps engineers typically engage in on a day-to-day basis:
However, here are some common tasks and responsibilities that DevOps engineers typically engage in on a day-to-day basis:
DevOps ♾ Real-time Day to Day activities that every DevOps Engineer should Know
➡️ The daily activities of a DevOps engineer can vary depending on the specific organization, project, and team structure. However, here are some common tasks and responsibilities that DevOps engineers typically engage in on a day-to-day basis:
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/devops-day-to-day-activities-by-devops-engineer
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
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1. Create and Set Up Your Azure Account:
Sign in to your Azure portal.
If you're new to Azure, follow the Microsoft-Azure portal guide to get started.
2. Build Your Web Application:
Create your web app using your preferred tech stack (e.g., C#, Java, Python, etc.).
You can host your code on GitHub or any other Version Control System.
3. Create a Resource Group:
Resource groups help manage access control and resource allocation.
If you don't have an existing resource group, create a new one in the Azure portal.
4. Set Up Your Web App Service:
In the Azure portal, navigate to "App Services."
Choose the "Create" option and customize settings:
Basics: Select the resource group, name your web app, choose a region, and set the runtime stack (e.g., Java, .NET, etc.).
Deployment: Configure continuous deployment from GitHub or other sources.
Other tabs allow further customization (networking, monitoring, tags).
Review and create your web app.
5. Deploy Your Web App:
Click on your web app's name in App Services.
Find the "Default domain" link, which is the deployed URL.
Access your web app and modify it as needed.
Remember, there are various approaches and options for deploying web apps on Azure. Choose the one that best suits your requirements and application complexity[1]. Happy deploying!🚀 🔵
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What is Ansible →
➡️ Ansible is DevOps tool and it is similar like chef means it is a Configuration management tool let’s Begins with a Story → suppose you have a big organisation which have 100’s of servers Now a task is came to install git on that 100’s of servers …man responsible for doing this is System Administrator who is doing this manually which takes a lot of time…
guys!!!! we have that tool and that is Ansible→ A Configuration Management Tool…..
➡️ But !! But !! But !! First you need to connect all the nodes to ansible server which is done manually after that you will be able to automate the things…..
➡️ configuration management →It is a method through which we automate admin tasks.
➡️ It automates the task which the system administrator doing manually
Configuration management tool is of 2 types →
➡️ Pull based → In Pull Based it periodically check for the update from the main server to the nodes if update available it automatically install on the nodes connected with the server → chef and puppet is a pull based config tool.
➡️ Push based → In push based nodes is not going to the main server for the update the update is pushed to the nodes automatically for example the update of apps is pushed to your phone play store now it’s your choice whether you update or not → push based tool is Ansible when you need control in your hands so you take control of your own server for updating.
History of Ansible →
➡️ Michael Dehan developed Ansible in Feb 2012
➡️ Red Hat acquired the Ansible tool in 2015.
➡️ Ansible is available for RHEL, Debian, cent OS, Oracle Linux.
➡️ It is developed in Python background and also in Windows PowerShell.
➡️ You Can use this tool whether your server are in on premises or in the cloud.
➡️ It converted your code into infrastructure means you can say that it is a little bit called an Infrastructure building tool.
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
guys!!!! we have that tool and that is Ansible→ A Configuration Management Tool…..
Configuration management tool is of 2 types →
History of Ansible →
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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.Please open Telegram to view this post
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