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🏔 Understanding Kubernetes Primitives

Hello engineers, I hope you're having a great day! Here is part two of our Kubernetes recipes. Grab your coffee ☕️ and enjoy:

Resources:

⚛️ Ingress: Manages external access to services within the cluster, enabling routing based on hostnames and paths.

⚛️ NetworkPolicy: Defines communication rules between groups of pods and network endpoints.

⚛️ HorizontalPodAutoscaler: Automatically adjusts the number of pod replicas based on resource utilization metrics.

⚛️ Job: Executes tasks until completion, often used for batch processing.

⚛️ CronJob: Schedules jobs to run at specified intervals using cron notation.

⚛️ ResourceQuota: Enforces constraints on resource consumption within a namespace.

⚛️ LimitRange: Defines resource limits and ranges for compute resources.

Infrastructure Components

⚛️ Kubelet: The primary node agent, responsible for the execution and management of containers on each node.

⚛️ Kube-proxy: The network proxy that facilitates the exposure of Kubernetes networking services on individual nodes.

⚛️ Container Runtime: The underlying software responsible for executing containers, which could be docker, containerd, or a compatible runtime.

⚛️ CNI Plugins: Container Network Interface plugins that configure network interfaces within pods to enable network communication.

⚛️ Node: Worker unit in a Kubernetes cluster, responsible for running containerized applications within pods. Think of node as the machineries or the base engines. 🚂

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❇️ AZURE PIPELINES 🆚 JENKINS

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Project Title: Deploy a 3 Tier Architecture On AWS - End to End Project

Project Overview:
Tier 1: Presentation Layer
Create a web application using a framework like React, Angular, or Vue.js.
Host the frontend on Amazon S3 or use AWS Amplify for a serverless frontend deployment.

Tier 2: Application Layer
Develop a server-side application using a technology like Node.js, Python, or Java.
Deploy the application on AWS Elastic Beanstalk or AWS Lambda for serverless applications.
Use Amazon API Gateway for creating RESTful APIs or AWS App Runner for containerized applications.

Tier 3: Data Layer
Choose a database solution like Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL), or Amazon Aurora (MySQL/PostgreSQL).
Configure database security groups and access controls.
Ensure data backup and redundancy as per your application's needs.

Check for full details 👇

https://github.com/NotHarshhaa/DevOps-Projects/tree/master/DevOps%20Project-01


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@prodevopsguy
How to Learn Kubernetes 🚀

In this Kubernetes learning roadmap,

I have added prerequisites and complete Kubernetes learning path covering basic to advanced Kubernetes concepts.

Learning Kubernetes can seem overwhelming. It’s a complex container orchestration system, that has a steep learning curve.

But with the right roadmap and understanding of the foundational concepts, it’s something that any developer or ops person can learn.


𝗞𝟴𝘀 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗼𝗮𝗱𝗺𝗮𝗽: https://github.com/NotHarshhaa/kubernetes-learning-path
🎯Free resources
🎯Exam AZ-900: Microsoft Azure Fundamentals

Credit: Microsoft Learn

Skills measured:

✔️ Describe cloud concepts
https://lnkd.in/gNKy9r3J

✔️ Describe Azure architecture and services
https://lnkd.in/gJBMgbDg

✔️ Describe Azure management and governance
https://lnkd.in/gaH4RxvW
AWS Billing Alert Terraform Module

📢 Excited to share my latest open-source contribution - The AWS Billing Alert Terraform Module!

Link: https://github.com/NotHarshhaa/aws-billing-alert-terraform.git

Navigating AWS costs can sometimes be tricky. To aid users in proactive cost management, I've developed a Terraform module that automates the setup of billing alerts. With this tool, you'll receive timely notifications if your AWS charges cross predefined thresholds.

📊 Integrated with AWS #CloudWatch - Monitor your #billing metrics seamlessly.

🔔 Leverages AWS #SNS - Get instant notifications so you can act swiftly.
For those keen on ensuring their AWS expenses stay within predictable boundaries, this tool is a valuable asset for every AWS Engineer.


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🛡 GitHub: Link
𝗘𝘃𝗲𝗿 𝘄𝗼𝗻𝗱𝗲𝗿𝗲𝗱 𝘁𝗵𝗲 𝗘𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗼𝗳 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 🤔

Just for fun ,happy weekend !!

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𝗬𝗼𝘂 𝗠𝗨𝗦𝗧 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 𝗟𝗶𝗻𝘂𝘅 𝗳𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺

Linux's file system is tree-like. The base is "/", with everything else branching off.

Core Directories:

/bin 🛠: Essential binaries, e.g., bash, ls, grep.
/boot 🚀: Boot items like kernel & bootloader.
/dev 🔌: Device files for connected hardware.
/etc 📜: System configuration files.
/home 🏠: User home directories.
/lib 📚: Shared libraries for programs.
/media 💿: Mounts for removable media.
/mnt 🧲: Temporary mounts.
/opt 📦: Optional software.
/proc 📊: System, process, memory info.
/root 👑: Root user's home.
/sbin 🔧: System admin tools, e.g., init.
/srv 🌐: Data for services.
/tmp 🌡: Temporary files.
/usr 🖥: User software.
/var 🔄: Variable data, logs, temp files.

Linux Commands:

cd 🚶: Navigate.
ls 📋: List contents.
mkdir 📁: Create folder.
rmdir 🗑: Delete folder.
cp 📤: Copy.
mv 🚚: Move.
rm : Delete.

⚠️ Note: Directories like /bin are crucial. Don't modify!

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𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐢𝐬 𝐚 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂) 𝐭𝐨𝐨𝐥..👀
But are you using it the Right Way??🤔👇

𝘛𝘦𝘳𝘳𝘢𝘧𝘰𝘳𝘮 𝘉𝘦𝘴𝘵 𝘗𝘳𝘢𝘤𝘵𝘪𝘤𝘦𝘴:

🌱 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂): - 📝 Define your infrastructure using code.
- 📦 Store code in version control (e.g., Git).

🧊𝐒𝐭𝐚𝐭𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: - 🗄️ Use remote state storage (e.g., AWS S3, Azure Blob Storage).
- 🔐 Encrypt sensitive data in state files.

📦 𝐌𝐨𝐝𝐮𝐥𝐞 𝐔𝐬𝐚𝐠𝐞: - 🧩 Create reusable modules for infrastructure components.
- 📚 Document modules and usage.

🔑 𝐒𝐞𝐜𝐫𝐞𝐭𝐬 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: - 🔒 Securely manage secrets using tools like Vault or AWS Secrets Manager.
- 🚫 Avoid hardcoding secrets in configuration.

🔄 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐋𝐢𝐟𝐞𝐜𝐲𝐜𝐥𝐞: - 🏁 Plan before applying changes.
- 🔄 Regularly run terraform init, terraform plan, and terraform apply.

🏗️ 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐢𝐞𝐬:
- ⚙️ Define explicit dependencies between resources.
- 🔍 Use depends_on when necessary.

🚧 𝐑𝐞𝐬𝐨𝐮𝐫𝐜𝐞 𝐍𝐚𝐦𝐢𝐧𝐠:
- 🏷️ Use consistent and meaningful resource names.
- 🧩 Include environment-specific prefixes.

𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐖𝐨𝐫𝐤𝐬𝐩𝐚𝐜𝐞𝐬:
- 🏢 Utilize workspaces for managing multiple environments.
- 🌐 Separate dev, staging, and prod configurations.

🔄 𝐕𝐞𝐫𝐬𝐢𝐨𝐧𝐢𝐧𝐠:
- 🔄 Keep Terraform versions up to date.
- 📆 Pin module versions for stability.

📊 𝐋𝐨𝐠𝐠𝐢𝐧𝐠 𝐚𝐧𝐝 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠:
- 📈 Implement logging and monitoring for Terraform runs.
- 🚨 Alert on unexpected changes or errors.

🔒 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬:
- 🛡️ Follow cloud provider's security recommendations.
- 🧑🤝🧑 Implement least privilege access.

🔄 𝐂𝐈/𝐂𝐃 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧:
- 🛠️ Integrate Terraform into CI/CD pipelines.
- 🤖 Automate testing and deployments.

📦 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐫𝐬 𝐚𝐧𝐝 𝐏𝐥𝐮𝐠𝐢𝐧𝐬:
- 🚀 Regularly update Terraform providers and plugins.
- 🛡️ Verify the authenticity of third-party plugins.

🛠️ 𝐄𝐫𝐫𝐨𝐫 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠:
- 🪣 Implement error handling and recovery strategies.
- 📉 Roll back changes in case of failures.

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