Version control with 🧑‍💻 GIT has become an essential skill for developers.

In this post, I'll provide a quick overview of some core GIT concepts and commands.

Key concepts:
➡️ Repository - Where your project files and commit history are stored
➡️ Commit - A snapshot of changes, like a version checkpoint
➡️ Branch - A timeline of commits that lets you work on parallel versions
➡️ Merge - To combine changes from separate branches
➡️ Pull request - Propose & review changes before merging branches

Key commands:
➡️ git init - Initialize a new repo
➡️ git status - View changed files not staged for commit
➡️ git add - Stage files for commit
➡️ git commit - Commit staged snapshot
➡️ git branch - List, create, or delete branches
➡️ git checkout - Switch between branches
➡️ git merge - Join two development histories (branches)
➡️ git push/pull - Send/receive commits to remote repo


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

📌 West Agile Labs is Hiring for DevOps Architect

➡️ Work Location - Pune/Hyderabad

Interested please share your CV's to chaitanya.c@westagilelabs.com

❤️‍🔥 Urgent Hiring
➡️ Job Title : DevOps engineer
➡️ Experience : 2+ years
➡️ Company : Unicode Systems
➡️ Location : Lucknow (WFO)
➡️ Job type : Full-time

Share your resume at shubhi@unicodesystems.info

📌 Hiring AWS DevOps Freshers for our Noida office. If you are excited about accelerating your career in AWS and DevOps this position is for you.

➡️ Role Type : Permanent
➡️ Location : Noida
➡️ No. of openings : 10
➡️ Last date to apply : 23th Jan'24

Preference will be given to the candidates who are having any certification in AWS, DevOps tools or Linux or have completed training in AWS or DevOps.

Please share your CV at Amar@i2k2.com

🚀 𝗪𝗵𝘆 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀? 𝗡𝗮𝘃𝗶𝗴𝗮𝘁𝗶𝗻𝗴 𝗜𝘁𝘀 𝗣𝗼𝘄𝗲𝗿 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 🚀

Kubernetes has revolutionized the way we handle containerized applications, but it's not without its complexities. Here's a quick dive into why Kubernetes is a game-changer and a note on its intricate nature:

💪 𝗧𝗵𝗲 𝗣𝗼𝘄𝗲𝗿 𝗼𝗳 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀:
🔢 Enhanced Scalability: Effortlessly scale your apps to handle increased traffic.
🔢 High Availability & Resilience: Keep your services up and running, no matter what.
🔢 Improved Resource Utilization: Say goodbye to resource wastage and hello to cost efficiency.
🔢 Automated Rollouts and Rollbacks: Deploy new features with confidence and ease.
🔢 Strong Community Support: Tap into the collective wisdom of Kubernetes experts.

❓ 𝗕𝘂𝘁, 𝗜𝘀 𝗜𝘁 𝗔𝗹𝘄𝗮𝘆𝘀 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗧𝗼𝗼𝗹?
While Kubernetes excels in managing complex applications, its strength can be a challenge for simpler needs. The learning curve is steep, and setting up a Kubernetes environment for a basic app might be like using a sledgehammer to crack a nut. It requires a thoughtful approach - understanding that the power it brings is accompanied by a level of complexity not always necessary for smaller-scale applications.

🔍 𝗧𝗵𝗲 𝗕𝗼𝘁𝘁𝗼𝗺 𝗟𝗶𝗻𝗲:
Kubernetes is incredibly powerful, but it's not a one-size-fits-all solution. For complex, scalable applications, it's a match made in heaven. But for smaller, simpler projects, consider the overhead and whether a simpler solution might meet your needs.


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

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!!!

https://harshhaa.hashnode.dev/advanced-terraform-getting-started-with-terragrunt

Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬

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

🆘 Hiring for our Client

👉 Position : Devops Engineer
👉 Experience : 6 month -2.5 year
👉 Skills : Docker, Kubernetes, Terraform, Ansible, AWS
👉 Location : Bangalore- WFO

Interested candidate can share their resume at aiman.bano@zyoin.com

➡️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 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🎮 Azure DevOps Guide: 🧠

Create a CI/CD Pipeline for Python application in Azure DevOps with integrate with Azure Repos with pipeline script of deployment and test stages and finally push to Azure Artifacts


🌐 Link: https://github.com/NotHarshhaa/DevOps_Setup-Installations/blob/master/azure-devops/setup-cicd.md

We add daily Tools Setup, Installations, Guides with each and every commands with clear explanation

💎 Now added : Kubernetes, Jenkins, Ansible, AWS, Azure DevOps
More added daily so "fork the repository for updates"


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

Here's your typical Docker Workflow 🐳

If you understand this, you understand enough to accomplish 80% of your Docker tasks.

1⃣ After developing your application, Create a Dockerfile to capture all the assets like code, executables & dependencies.

🔢 Use “docker build” to build an Image from your Dockerfile. You’d normally also use the “--tag” option to give your Image a name & tag (eg- “hello_world:latest”).

🔢 At this point, Docker pulls the Base Image (eg- Alpine, Ubuntu) from a Registry (this is Docker Hub by default). If you’re using a private registry instead, this step might perform authentication as well.

🔢 Run the Container from your newly baked Image using “docker run”. A container goes through various states throughout its lifecycle, depending on the processes running inside it and what you do with it from outside.

🔢 Your image is now ready to be distributed to other users so you “docker push” it to the registry.

🔢 Continuously monitor the performance of your container(s) using "docker stats”. Debug a live container using “docker exec” and “docker inspect”.

🔢 Get back to building 🚀


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

🚨 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!!!

📌 Complete Prometheus Architecture

You will learn about the following from the Blog.- High Level Prometheus Architecture

➡️ Prometheus Server
➡️ Time-Series Database (TSDB)
➡️ Prometheus Targets
➡️ Prometheus Exporters
➡️ Prometheus Service Discovery
➡️ Prometheus Push Gateway
➡️ Prometheus Client Libraries
➡️ Prometheus Alert Manager
➡️ PromQL

➡️ 𝗗𝗲𝘁𝗮𝗶𝗹𝗲𝗱 𝗕𝗹𝗼𝗴: https://lnkd.in/gVuPeWcS


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

📌 𝐓𝐡𝐞 𝐦𝐨𝐬𝐭 𝐚𝐬𝐤𝐞𝐝 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐐𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬/ 𝐓𝐨𝐩𝐢𝐜𝐬:

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐯𝐨𝐥𝐮𝐦𝐞𝐬 are an essential feature for managing data in containerized applications. They provide a way to persist and share data between containers within a pod or across pods. Volumes abstract the underlying storage details and make it easier to manage data in a containerized environment.

Some key concepts and implementation details related to Kubernetes volumes:

1️⃣. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐕𝐨𝐥𝐮𝐦𝐞𝐬:
Kubernetes supports various types of volumes, each designed for specific use cases. Some common volume types include:
- 𝐄𝐦𝐩𝐭𝐲𝐃𝐢𝐫: An empty directory is created when a pod is scheduled on a node and is deleted when the pod is removed.
- 𝐇𝐨𝐬𝐭𝐏𝐚𝐭𝐡: Uses a directory on the host machine's filesystem and mounts it into the pod.
- 𝐏𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐭𝐕𝐨𝐥𝐮𝐦𝐞: Represents a piece of networked storage in the cluster that is provisioned by an administrator and can be dynamically or statically bound to a PersistentVolumeClaim.
- 𝐂𝐨𝐧𝐟𝐢𝐠𝐌𝐚𝐩 𝐚𝐧𝐝 𝐒𝐞𝐜𝐫𝐞𝐭: Special volumes that allow you to inject configuration data or secrets into pods.
- 𝐍𝐅𝐒, 𝐀𝐖𝐒 𝐄𝐁𝐒, 𝐆𝐂𝐄 𝐏𝐃, 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞: Various cloud-specific volume types are also available.

2️⃣. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐋𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞:
- When a pod using a volume is created, Kubernetes ensures that the volume is created and mounted.
- When the pod is deleted, the volume is unmounted, and the data is retained for some volume types (like PersistentVolumes) and deleted for others (like EmptyDir).

3️⃣. 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐏𝐫𝐨𝐯𝐢𝐬𝐢𝐨𝐧𝐢𝐧𝐠:
For cloud-based storage solutions and other external storage systems, Kubernetes can dynamically provision volumes when a PersistentVolumeClaim is created. The storage class associated with the PVC defines the storage type and configuration.

4️⃣. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐀𝐜𝐜𝐞𝐬𝐬 𝐌𝐨𝐝𝐞𝐬:
Some volume types support different access modes, such as ReadWriteOnce, ReadOnlyMany, and ReadWriteMany. These modes specify whether the volume can be mounted as read-write or read-only by multiple pods.

5️⃣. 𝐒𝐭𝐚𝐭𝐞𝐟𝐮𝐥𝐒𝐞𝐭𝐬:
For stateful applications, you can use StatefulSets along with PersistentVolumes to ensure stable and unique network identities for pods. This is crucial for databases and other stateful workloads.

6️⃣. 𝐕𝐨𝐥𝐮𝐦𝐞 𝐏𝐥𝐮𝐠𝐢𝐧𝐬 𝐚𝐧𝐝 𝐂𝐒𝐈:
Kubernetes supports custom volume plugins through the Container Storage Interface (CSI). This allows third-party storage providers to integrate with Kubernetes and offer specialized storage solutions.

7️⃣. 𝐏𝐨𝐝-𝐭𝐨-𝐏𝐨𝐝 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧:
Volumes can also be used to share data between different pods within a cluster, enabling inter-pod communication and data sharing.


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

💼 Hiring Alert 🚨 🚨 for DevOps Engineer 🚨 🚨

📢 Audviklabs, Bangalore, India is hiring !!

We are seeking highly motivated DevOps Engineers.

➡️ Skills - Azure, AWS, GCP, Docker, Kubernetes, CI/CD pipeline Azure DevOps, Python, and Linux.
➡️ Location: Remote
➡️ Number of openings - 7
➡️ Exp . - 2-3 years


Interested??
Please drop your resume at richa.pragya@audviklabs.com

https://harshhaa.hashnode.dev/mastering-aws-devops-tools-your-in-depth-guide-to-streamlining-cloud-operations

Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬

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

☄️ DevOps ♾ Project Ideas for 🌟🌟 💪

1️⃣ Scripting and Automation
Write scripts to automate tasks such as server provisioning, log rotation, or data migration. Use languages like Python or Bash.

2️⃣ Collaborative Git Workflow
Practice collaborative development using Git with a team or by yourself. Set up a Git repository, create branches, and simulate a workflow similar to what you'd experience in a real job.

3️⃣ Dockerize an Application
Containerization is an essential #DevOps practice. Dockerize an application of your choice, create an image, and then deploy it to a container orchestration platform like Docker Swarm.

4️⃣ Container Orchestration with Kubernetes
Learn Kubernetes basics and deploy a simple application on a #Kubernetes cluster. Explore features like pod scaling, rolling updates, and service discovery.

5️⃣ Configuration Management
Use tools like Ansible or Puppet to automate the configuration of multiple servers. Create playbooks or manifests to ensure consistency across your infrastructure.

6️⃣ CI/CD Pipeline for a Web Application
Set up a continuous integration and continuous deployment (CI/CD) pipeline for a simple web application. You can use tools like Jenkins, GitLab CI/CD, or #GitHub Actions. Automate the building, testing, and deployment processes.

7️⃣ Infrastructure as Code (IaC)
Learn and implement Infrastructure as Code using tools like #Terraform or #AWS CloudFormation. Create and manage cloud resources like EC2 instances VPCs in an automated and version-controlled manner.

8️⃣ Monitoring and Alerting Setup
Set up monitoring and alerting for your infrastructure and applications. Use tools like Prometheus and Grafana or a cloud-native solution like AWS CloudWatch. Create alerts for critical metrics.

9️⃣ Log Management and Analysis
Implement a log management system using tools like ELK Stack (Elasticsearch, Logstash, Kibana) or centralized logging on cloud platforms like AWS or Azure. Analyze logs to identify issues and trends.

🔟 Automated Backup and Recovery
Learn how to use a backup service like #Veeam to safeguard your critical data. Ensure that you can quickly recover from data loss or system failures or move your data from one place to another.

1️⃣1️⃣ Multi-Environment Deployment
Set up multiple environments (e.g., development, staging, production) and practice deploying your applications across these environments using automation.

1️⃣2️⃣ Configuration Drift Detection
Implement a system that detects and reports configuration drift in your infrastructure. Tools like AWS Config or custom scripts can help with this.

➡️ Tackle one project at a time.
➡️ Share your wins and lessons on social media.
➡️ Write a blog about your project.
➡️ Ask for help if you need it.

Doing these steps will make you stand out.


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

Continuous Integration vs Continuous Delivery vs Continuous Deployment


✅ Developers today face increasing demands to deliver software updates and new features at a rapid pace.

Adopting modern development practices like continuous integration (CI), continuous delivery (CD), and continuous deployment can help teams meet these demands and ship software more frequently.

➡️ But what's the difference between these three approaches?

➡️ 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻👇

Continuous integration is the practice of merging developer working copies to shared repositories multiple times per day.

With CI, developers frequently commit their code changes to a shared version control repository.

Each commit triggers an automated build and test process to catch integration errors as early as possible.

CI helps teams avoid "integration hell" that can happen when developers work in isolation for too long before merging their changes.

➡️ 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 👇

Continuous delivery takes CI a step further with automated releases.

CD means that at any point, you can push a button to release the latest app version to users.

The CD pipeline deploys each code change to a testing/staging environment and runs automated tests to confirm the app is production ready.

This ensures developers always have a releasable artifact that has passed tests.

While CD enables releasing often, someone still needs to manually push the button to promote changes to production.

➡️ 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁👇

Continuous deployment fully automates the release process.

Every code commit that passes the automated tests triggers an immediate production deployment.

This enables teams to ship features as fast as developers write code.

However, the business may not want to release daily since this could overwhelm users with constant changes.

Many teams use feature flags so developers can deploy new features, but limit their exposure until the business is ready for the public launch.

Adopting CI, CD, and CD practices can accelerate a team's ability to safely deliver innovation.

The key is automating repetitive processes to limit manual errors, provide rapid feedback, and reduce risk.

This frees up developers to focus their energy on writing great code rather than building and deploying it.
The outcome is faster time-to-market and more frequent delivery of customer value.

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