𝐓𝐚𝐤𝐞 𝐛𝐚𝐜𝐤 𝐜𝐨𝐧𝐭𝐫𝐨𝐥 𝐰𝐢𝐭𝐡 🌐 𝐆𝐢𝐭𝐎𝐩𝐬: 𝐘𝐨𝐮𝐫 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐬𝐢𝐦𝐩𝐥𝐢𝐟𝐢𝐞𝐝 🚀

What is GitOps? It's a revolutionary approach that treats your infrastructure as code, using Git as the single source of truth. ✨

🔣Why GitOps?

⏩ Simplified management: Declarative configuration in Git means no more ad-hoc changes or manual interventions.
⏩ Reduced errors: Automated deployments eliminate human error and ensure consistency.
⏩ Increased visibility: Track changes and rollbacks easily with Git's history and branching.
⏩ Improved collaboration: Everyone works from the same source of truth, fostering transparency and ownership


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

🔔 A Complete Guide to Azure DevOps Pipelines with YAML Templates


⚙️ Streamline Your CI/CD Workflows with Azure DevOps

In today’s software development landscape, efficient CI/CD processes are essential for delivering high-quality applications at a rapid pace. Azure DevOps provides a comprehensive set of tools and services to facilitate the entire development lifecycle, including powerful CI/CD capabilities. In this guide, we will explore Azure DevOps pipelines using YAML templates, providing step-by-step explanations and practical examples. Let’s dive in!

𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/complete-guide-to-azure-devops-pipelines-with-yaml-templates


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

𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐞𝐜𝐫𝐞𝐭𝐬 are where Kubernetes stores secret objects such as 𝐩𝐚𝐬𝐬𝐰𝐨𝐫𝐝𝐬, 𝐎𝐀𝐮𝐭𝐡 𝐭𝐨𝐤𝐞𝐧𝐬, 𝐬𝐞𝐧𝐬𝐢𝐭𝐢𝐯𝐞 𝐝𝐚𝐭𝐚, 𝐚𝐧𝐝 𝐒𝐒𝐇 𝐤𝐞𝐲𝐬. The name 𝐬𝐞𝐜𝐫𝐞𝐭 is a bit misleading, as it is not a secret. It is just base-64 encoded and stored in etcd.

GitOps processes for your Kubernetes application works great for most resources, but it has some limitations when it comes to managing and storing secrets. Storing your secret data with Kubernetes Secrets on Git is uncontrolled for access and is a security risk.

➡️ 𝗟𝗶𝗺𝗶𝘁𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗦𝗲𝗰𝗿𝗲𝘁𝘀 :-
𝙚𝙩𝙘𝙙 𝙞𝙨 𝙣𝙤𝙩 𝙨𝙚𝙘𝙪𝙧𝙚 - etcd is where Kubernetes secrets are stored. Though etcd is a distributed key/value store with great performance, it lacks key features when it comes to handling sensitive data such as audit log, key rotation, and encryption of key.

➡️ 𝙎𝙚𝙘𝙧𝙚𝙩𝙨 𝙖𝙨 𝙥𝙡𝙖𝙞𝙣 𝙩𝙚𝙭𝙩 -When a pod needs to access the secrets, it is provided by Kubernetes as environment variables or mounting them as files containing plain-text secrets. These secrets become accessible to everyone with access to the pod.

➡️ 𝙍𝘽𝘼𝘾 𝙛𝙪𝙣𝙘𝙩𝙞𝙤𝙣𝙖𝙡𝙞𝙩𝙮 -Kubernetes’ RBAC functionality provides only get and set permissions for secrets. And while you get a secret, you only get its decrypted value. A more secure zero-trust setup would allow a developer to set a secret and then only retrieve the encrypted value for consumption.

➡️ 𝙏𝙝𝙚 𝙡𝙖𝙘𝙠 𝙤𝙛 𝙨𝙚𝙘𝙪𝙧𝙚 𝙚𝙣𝙘𝙧𝙮𝙥𝙩𝙞𝙤𝙣 -Since Kubernetes secrets are base-64 encoded, it is possible for anyone to decode it once they get their hands on the secrets.

➡️ 𝗕𝗲𝘀𝘁 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 𝗳𝗼𝗿 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝘀𝗲𝗰𝗿𝗲𝘁 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁:-
1.𝙀𝙣𝙨𝙪𝙧𝙚 𝙚𝙣𝙘𝙧𝙮𝙥𝙩𝙞𝙤𝙣 𝙖𝙩 𝙧𝙚𝙨𝙩 - Storing unencrypted secrets in etcd could lead to compromise and allow access to your systems.

2. 𝙇𝙞𝙢𝙞𝙩 𝙖𝙘𝙘𝙚𝙨𝙨 𝙩𝙤 𝙆𝙪𝙗𝙚𝙧𝙣𝙚𝙩𝙚𝙨 𝙘𝙡𝙪𝙨𝙩𝙚𝙧𝙨 - This can be controlled using Kubernetes RBAC controls and RBAC controls from your cloud provider. Since, in methods like sealed secrets, anyone with access to the cluster to see the decrypted secrets.

3. 𝙍𝙚𝙨𝙩𝙧𝙞𝙘𝙩 𝙎𝙚𝙘𝙧𝙚𝙩 𝙖𝙘𝙘𝙚𝙨𝙨 𝙩𝙤 𝙨𝙥𝙚𝙘𝙞𝙛𝙞𝙘 𝙘𝙤𝙣𝙩𝙖𝙞𝙣𝙚𝙧𝙨- While running multiple containers in a pod, define your volume mount or environment variable configuration in such a way that only the container that needs the secret has access to it.

4.𝙈𝙖𝙣𝙖𝙜𝙚 𝙝𝙤𝙬 𝙮𝙤𝙪𝙧 𝙖𝙥𝙥𝙡𝙞𝙘𝙖𝙩𝙞𝙤𝙣𝙨 𝙝𝙖𝙣𝙙𝙡𝙚 𝙨𝙚𝙘𝙧𝙚𝙩𝙨- Once your applications read the secrets, they have access to its confidential information. Ensure they do not share it with any untrusted parties or display it on logs.

5.𝙋𝙧𝙚𝙛𝙚𝙧 𝙖 𝙘𝙚𝙣𝙩𝙧𝙖𝙡 𝙨𝙚𝙘𝙧𝙚𝙩 𝙨𝙩𝙤𝙧𝙚- Having your Kubernetes secrets stored in a centralized place along with your other tool and database secrets would allow for easier management. This helps reduce secret sprawl and allows for better access control and audit trails.


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

➡️Docker 🐬 and Kubernetes Free Videos 🟩 :

✅Link: https://drive.google.com/drive/folders/162YOHhybk_pYemCfKmKSGbdSjJDeuAYR?usp=sharing


❤️ Follow for more: @prodevopsguy

🟩 Docker Free Videos 🐬

🔗Link : https://drive.google.com/drive/folders/1lXSplxsWu-7f4Bbb3V9o-Em4XUahWVeD?usp=sharing


❤️ Follow for more: @prodevopsguy

🟩 Ansible 🆓 Videos 🔴

🔗Link : https://drive.google.com/drive/folders/1p35HHSamOyL1Rta8hK5--4k1mPWYAXaV?usp=sharing


❤️ Follow for more: @prodevopsguy

🟩 🌐 Git/GitHub Free Videos:- 🟩

🔥 ➡️ https://drive.google.com/drive/folders/1vhSsxz9oAtSh136JVo3gryaDPJAYWteF?usp=sharing

❤️ Follow for more: @prodevopsguy

⚙️ A Complete Guide to Creating GitLab Pipelines with YAML Templates


🔖 Streamline Your Software Development Workflow with Continuous Integration and Deployment with GitLab

In the realm of software development, efficient and reliable continuous integration and deployment (CI/CD) processes 👾 are essential. GitLab Pipelines, a robust CI/CD tool, allows you to automate your software development workflows seamlessly. In this comprehensive guide, we will explore the process of setting up GitLab Pipelines using YAML templates. Each step will be accompanied by detailed explanations and example templates. Let’s dive in!


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/complete-guide-to-creating-gitlab-pipelines-with-yaml-templates


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

⚙️ Troubleshooting in Kubernetes by ProDevOpsGuy - 25 Examples With Commands

➡️ What is Kubernetes Troubleshooting? 🛠
Kubernetes troubleshooting involves the process of identifying, diagnosing, and resolving issues within Kubernetes clusters, nodes, pods, or containers. It encompasses effective ongoing management of faults and proactive measures to prevent issues in Kubernetes components.


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
https://prodevopsguy.site/Troubleshooting-in-Kubernetes-by-ProDevOpsGuy


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

https://prodevopsguy.github.io/2024/Ultimate-DevOps-Bootcamp-2024-Pack/

⚠️ Note: Anyone Interested, can open the Blog 🌐, share it to your friends and colleagues.

🆕 Course content will be updated every month with new topics/videos 🙂

⚠️ Note: Limited slots only

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

⚡️ AWS INTERVIEW QUESTIONS: ⁉️

➡️ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐄𝐂2:

🟢 What is the difference between EC2 and traditional virtualization?
🟢 Explain the concept of Elastic Load Balancing and how it works with EC2 instances.
🟢 How can you encrypt EBS volumes?
🟢 What is Amazon EC2 Container Service, and how does it work?
🟢 How do you create a custom AMI, and when would you need to do so?
🟢 Explain the concept of EC2 instance metadata.
🟢 How can you deploy a multi-tier architecture on EC2 instances?
🟢 What is an EC2 Placement Group, and when would you use it?
🟢 How can you automate EC2 instance launches using AWS CLI or SDKs?
🟢 Explain the differences between horizontal and vertical scaling in the context of EC2.
🟢 How do you troubleshoot an unresponsive EC2 instance?

➡️ 𝐀𝐖𝐒 𝐋𝐚𝐦𝐛𝐝𝐚:

🟢 What is the maximum execution time for a Lambda function, and how can you extend it?
🟢 Explain the concept of Cold Start in AWS Lambda and how to mitigate it.
🟢 How does AWS Lambda handle asynchronous event processing?
🟢 What is the AWS Lambda Execution Environment?
🟢 Explain the concept of Dead Letter Queues in AWS Lambda.
🟢 How can you share code between multiple Lambda functions?
🟢 What are the considerations for securing environment variables in Lambda functions?
🟢 How can you integrate AWS Lambda with other AWS services?
🟢 What is the difference between Provisioned Concurrency and On-demand Concurrency in Lambda?
🟢 Explain the limitations of AWS Lambda.
🟢 How can you monitor and log AWS Lambda function execution?

➡️ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐒3:

🟢 What is the maximum size of an S3 object, and how can you store larger files?
🟢 Explain the concept of eventual consistency in S3.
🟢 How does S3 handle versioning conflicts?
🟢 What is the difference between S3 Transfer Acceleration and Direct Connect?
🟢 How can you enable Cross-Origin Resource Sharing (CORS) for an S3 bucket?
🟢 What is the significance of the S3 Inventory feature?
🟢 Explain the use cases for S3 Transfer Acceleration.
🟢 How can you enforce encryption for data at rest in an S3 bucket?
🟢 What is the AWS Snowball service, and when would you use it for data transfer?
🟢 How do you implement data lifecycle policies in S3?

➡️ 𝐀𝐦𝐚𝐳𝐨𝐧 𝐃𝐲𝐧𝐚𝐦𝐨𝐃𝐁:

🟢 Explain the differences between DynamoDB and Apache Cassandra.
🟢 What is the difference between DynamoDB Local and the actual DynamoDB service?
🟢 How can you implement fine-grained access control for DynamoDB tables?
🟢 Explain the concept of adaptive capacity in DynamoDB.
🟢 What is the importance of partition key design in DynamoDB?
🟢 How do you handle hot partitions in DynamoDB?
🟢 Explain the differences between DynamoDB Streams and Cross-Region Replication.
🟢 What is the difference between a scan and query operation in DynamoDB?
🟢 How do you implement global secondary indexes in DynamoDB?
🟢 What is DAX (DynamoDB Accelerator), and how does it improve DynamoDB performance?
🟢 Explain the considerations for backups and restores in DynamoDB.


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

🐳 𝐀 𝐪𝐮𝐢𝐜𝐤 𝐃𝐨𝐜𝐤𝐞𝐫 𝐦𝐚𝐠𝐢𝐜 𝐭𝐢𝐩! 🚀

Ever struggled with deploying multi-container applications? Enter 𝗱𝗼𝗰𝗸𝗲𝗿-𝗰𝗼𝗺𝗽𝗼𝘀𝗲 𝘂𝗽! ⬆️

One command to rule them all - orchestrating your containers seamlessly. ♾

Spin up your dev environment with ease, define services, and voila! But wait, there's more - when it's time to call it a day, simply do a graceful exit with 𝗱𝗼𝗰𝗸𝗲𝗿-𝗰𝗼𝗺𝗽𝗼𝘀𝗲 𝗱𝗼𝘄𝗻. ⬇️

Clean, efficient, and a game-changer for simplifying your development workflow.🚀


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

🔔 Genpact Hiring Fresher Software Consultant – DevOps

➡️Job Designation : DevOps Engineer Operations

➡️Qualification : Bachelor’s Degree

➡️Experience : Freshers/Experienced

➡️Skill Set :
- Good knowledge of programming languages like Java, Python etc.
- Proficient knowledge of AWS DevOps, Azure DevOps and shell scripting.
- Familiar with Docker, Kubernetes, Helm Terraform, Jenkins, GitHub, Ansible.
- Expertise in DevOps, Public Clouds, and Automation.
- Sound knowledge of Linux and Windows OS Administration.

🖥 Apply link:
https://www.way2fresher.com/job/genpact-hiring-fresher-software-consultant-devops-engineer-operations/


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

⛈ Blue-Green Deployments with Kubernetes


In this blog, we will discuss how Blue-Green Deployments can be implemented using Kubernetes, one of the most popular container orchestration platforms.
We will cover the steps involved in setting up a Blue-Green Deployment in Kubernetes, along with the benefits of using this strategy.


𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.tech/posts/blue-green-deployments-with-kubernetes


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

🌐 Here are 30 GitHub commands that are every DevOps Engineer to know.

1. 𝗴𝗶𝘁 𝗶𝗻𝗶𝘁: Initializes a new Git repository in the current directory.
2. 𝗴𝗶𝘁 𝗰𝗹𝗼𝗻𝗲 [𝘂𝗿𝗹]: Clones a repository into a new directory.
3. 𝗴𝗶𝘁 𝗮𝗱𝗱 [𝗳𝗶𝗹𝗲]: Adds a file or changes in a file to the staging area.
4. 𝗴𝗶𝘁 𝗰𝗼𝗺𝗺𝗶𝘁 -𝗺 "[𝗺𝗲𝘀𝘀𝗮𝗴𝗲]": Records changes to the repository with a descriptive message.
5. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵: Uploads local repository content to a remote repository.
6. 𝗴𝗶𝘁 𝗽𝘂𝗹𝗹: Fetches changes from the remote repository and merges them into the local branch.
7. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘁𝘂𝘀: Displays the status of the working directory and staging area.
8. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵: Lists all local branches in the current repository.
9. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 [𝗯𝗿𝗮𝗻𝗰𝗵]: Switches to the specified branch.
10. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 [𝗯𝗿𝗮𝗻𝗰𝗵]: Merges the specified branch's history into the current branch.
11. 𝗴𝗶𝘁 𝗿𝗲𝗺𝗼𝘁𝗲 -𝘃: Lists the remote repositories along with their URLs.
12. 𝗴𝗶𝘁 𝗹𝗼𝗴: Displays commit logs.
13. 𝗴𝗶𝘁 𝗿𝗲𝘀𝗲𝘁 [𝗳𝗶𝗹𝗲]: Unstages the file, but preserves its contents.
14. 𝗴𝗶𝘁 𝗿𝗺 [𝗳𝗶𝗹𝗲]: Deletes the file from the working directory and stages the deletion.
15. 𝗴𝗶𝘁 𝘀𝘁𝗮𝘀𝗵: Temporarily shelves (or stashes) changes that haven't been committed.
16. 𝗴𝗶𝘁 𝘁𝗮𝗴 [𝘁𝗮𝗴𝗻𝗮𝗺𝗲]: Creates a lightweight tag pointing to the current commit.
17. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 [𝗿𝗲𝗺𝗼𝘁𝗲]: Downloads objects and refs from another repository.
18. 𝗴𝗶𝘁 𝗺𝗲𝗿𝗴𝗲 --𝗮𝗯𝗼𝗿𝘁: Aborts the current conflict resolution process, and tries to reconstruct the pre-merge state.
19. 𝗴𝗶𝘁 𝗿𝗲𝗯𝗮𝘀𝗲 [𝗯𝗿𝗮𝗻𝗰𝗵]: Reapplies commits on top of another base tip, often used to integrate changes from one branch onto another cleanly.
20. 𝗴𝗶𝘁 𝗰𝗼𝗻𝗳𝗶𝗴 --𝗴𝗹𝗼𝗯𝗮𝗹 𝘂𝘀𝗲𝗿.𝗻𝗮𝗺𝗲 "[𝗻𝗮𝗺𝗲]" 𝗮𝗻𝗱 𝗴𝗶𝘁 𝗰𝗼𝗻𝗳𝗶𝗴 --𝗴𝗹𝗼𝗯𝗮𝗹 𝘂𝘀𝗲𝗿.𝗲𝗺𝗮𝗶𝗹 "[𝗲𝗺𝗮𝗶𝗹]": Sets the name and email to be used with your commits.
21. 𝗴𝗶𝘁 𝗱𝗶𝗳𝗳: Shows changes between commits, commit and working tree, etc.
22. 𝗴𝗶𝘁 𝗿𝗲𝗺𝗼𝘁𝗲 𝗮𝗱𝗱 [𝗻𝗮𝗺𝗲] [𝘂𝗿𝗹]: Adds a new remote repository.
23. 𝗴𝗶𝘁 𝗿𝗲𝗺𝗼𝘁𝗲 𝗿𝗲𝗺𝗼𝘃𝗲 [𝗻𝗮𝗺𝗲]: Removes a remote repository.
24. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗰𝗸𝗼𝘂𝘁 -𝗯 [𝗯𝗿𝗮𝗻𝗰𝗵]: Creates a new branch and switches to it.
25. 𝗴𝗶𝘁 𝗯𝗿𝗮𝗻𝗰𝗵 -𝗱 [𝗯𝗿𝗮𝗻𝗰𝗵]: Deletes the specified branch.
26. 𝗴𝗶𝘁 𝗽𝘂𝘀𝗵 --𝘁𝗮𝗴𝘀: Pushes all tags to the remote repository.
27. 𝗴𝗶𝘁 𝗰𝗵𝗲𝗿𝗿𝘆-𝗽𝗶𝗰𝗸 [𝗰𝗼𝗺𝗺𝗶𝘁]: Picks a commit from another branch and applies it to the current branch.
28. 𝗴𝗶𝘁 𝗳𝗲𝘁𝗰𝗵 --𝗽𝗿𝘂𝗻𝗲: Prunes remote tracking branches no longer on the remote.
29. 𝗴𝗶𝘁 𝗰𝗹𝗲𝗮𝗻 -𝗱𝗳: Removes untracked files and directories from the working directory.
30. 𝗴𝗶𝘁 𝘀𝘂𝗯𝗺𝗼𝗱𝘂𝗹𝗲 𝘂𝗽𝗱𝗮𝘁𝗲 --𝗶𝗻𝗶𝘁 --𝗿𝗲𝗰𝘂𝗿𝘀𝗶𝘃𝗲: Initializes and updates submodules recursively.


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

👍 Multi-Stage Build Images used in CICD ♾

➡️ Every microservice should be its own separate container. If you only use a single-stage Docker build, you’re probably missing out on some powerful features of the build process. On the other hand, a multi-stage Docker build has many advantages over a single-stage build for deploying microservices.

➡️ Some Advantages are :
- 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


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

𝐀𝐖𝐒 𝐬𝐞𝐫𝐯𝐢𝐜𝐞 𝐖𝐡𝐞𝐞𝐥⚠️

AWS offers an extended collection of services catering to different functionality and use cases. Below is a condensed summary of some of the main AWS services:

🔶 Compute:
✅Amazon EC2 (Elastic Compute Cloud): Scalable virtual servers for running any application.
✅AWS Lambda: Serverless computing, allowing code execution without managing servers.
✅Amazon Lightsail: Simplified virtual servers for basic needs.
✅AWS Elastic Beanstalk: Effortless deployment and scaling of web applications.

🔶 Storage:
Cloud storage that scales with Amazon S3.
✅Amazon EBS: EC2 instance block storage volumes.
✅Amazon Glacier: Economical, extended-duration storage.

🔶 Database:
Managed relational database service provided by Amazon RDS.
The managed NoSQL database service is offered by Amazon DynamoDB.
Scalable, rapid data warehousing offered by Amazon Redshift.
✅Amazon Aurora: Managed relational database with high performance.

🔶 Networking & Content Delivery:
✅Amazon VPC: Private cloud infrastructure.
✅Amazon CloudFront: A worldwide network for content delivery (CDN).
✅AWS Direct Connect: A network connection that is dedicated

🔶 Tools for developers:
✅Amazon CodeCommit: A service for managed source control.
✅AWS CodeBuild: Construct and evaluate code.
Automated code deployments using AWS CodeDeploy.

🔶 Identity, Security, and Compliance:
✅AWS IAM: Controls encryption keys and user access.
User identification and data synchronization using Amazon Cognito.
✅Amazon KMS: Handles keys for encryption.

🔶 Machine Learning:
Create, train, and implement ML models using Amazon SageMaker.
✅AWS DeepLens: A video camera with deep learning capabilities.
✅Amazon Rekognition: Video and image processing.


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