en
Feedback
DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

Open in Telegram

https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guides

Show more

📈 Analytical overview of Telegram channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning

Channel DevOps & Cloud (AWS, AZURE, GCP) Tech Free Learning (@prodevopsguy) in the English language segment is an active participant. Currently, the community unites 16 318 subscribers, ranking 7 977 in the Technologies & Applications category and 25 792 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 16 318 subscribers.

According to the latest data from 07 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 166 over the last 30 days and by 0 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 0%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as devops, docker, terraform, kubernete, git.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
https://projects.prodevopsguytech.com // https://blog.prodevopsguytech.com • We post Daily Trending DevOps/Cloud content • All DevOps related Code & Scripts uploaded • DevOps/Cloud Job Related Posts • Real-time Interview questions & preparation guid...

Thanks to the high frequency of updates (latest data received on 08 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

16 318
Subscribers
No data24 hours
+367 days
+16630 days
Posts Archive
🔖 𝐇𝐨𝐰 𝐭𝐨 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞 𝐃𝐞𝐯𝐎𝐩𝐬 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐔𝐬𝐢𝐧𝐠 𝐉𝐞𝐧𝐤𝐢𝐧𝐬! Jenkins is a popular automation server that can be used to automate the CI/CD pipeline. In this post we will learn how to use Jenkins to automate the following steps: ✅ Checkout code from version control: Jenkins can be configured to automatically checkout code from a version control system, such as GitHub. ✅ Compile code: Jenkins can use a variety of build tools, such as Maven or Gradle, to compile the code. ✅ Run unit tests: Jenkins can run unit tests to ensure that the code is working properly. ✅ Build a Docker image: Jenkins can build a Docker image from the compiled code. ✅ Push Docker image to registry: Jenkins can push the Docker image to a Docker registry, such as Docker Hub. ✅ Deploy to Kubernetes: Jenkins can notify Kubernetes of the new Docker image and deploy it to a Kubernetes cluster. 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

𝐇𝐨𝐰 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐖𝐨𝐫𝐤𝐬 𝐨𝐧 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦❗️ Looking to harness the power of microservices in the cloud? Azure Kubernetes Service (AKS) offers an ideal platform. Here's a snapshot of this architecture: ➡️𝐀𝐊𝐒: Managed Kubernetes cluster hosted in Azure. Focus on agent nodes while Azure handles the Kubernetes API service. ➡️𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤: AKS sets up a virtual network for agent nodes. For advanced scenarios, set up your own network with control over subnet config and more. ➡️𝐈𝐧𝐠𝐫𝐞𝐬𝐬: Exposes HTTP(S) routes to services within the cluster, acting as an API Gateway. ➡️𝐀𝐳𝐮𝐫𝐞 𝐋𝐨𝐚𝐝 𝐁𝐚𝐥𝐚𝐧𝐜𝐞𝐫: Routes internet traffic to the ingress controller, ensuring scalability and reliability. ➡️𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐃𝐚𝐭𝐚 𝐒𝐭𝐨𝐫𝐞𝐬: Microservices often use external data stores like Azure SQL Database or Azure Cosmos DB for stateful operations. ➡️𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐄𝐧𝐭𝐫𝐚 𝐈𝐃: Used for creating and managing Azure resources and recommended for user authentication in client apps. ➡️𝐀𝐳𝐮𝐫𝐞 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐑𝐞𝐠𝐢𝐬𝐭𝐫𝐲: Store private Docker images for deployment. AKS can authenticate using its Microsoft Entra identity. ➡️𝐀𝐳𝐮𝐫𝐞 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬: Part of Azure DevOps, automates builds, tests, and deployments. Also compatible with third-party CI/CD tools. ➡️𝐇𝐞𝐥𝐦: A Kubernetes package manager that simplifies managing and deploying applications. ➡️𝐀𝐳𝐮𝐫𝐞 𝐌𝐨𝐧𝐢𝐭𝐨𝐫: Collects and stores metrics, logs, and telemetry data for monitoring, alerting, and root cause analysis. ➡️𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Use the Azure pricing calculator to estimate costs, and refer to the Azure Well-Architected Framework for further insights. ✨ 𝐂𝐨𝐬𝐭 𝐂𝐨𝐧𝐬𝐢𝐝𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬: ✅ AKS: No direct cost, but you pay for underlying resources. ✅ Azure Load Balancer: Charges for configured load-balancing rules. ✅ Azure Pipelines: Free options with charges for extra jobs. ✅ Azure Monitor: Costs based on data ingestion and retention. Seize the potential of microservices on AKS, backed by the Azure cloud's robust infrastructure. 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

➡️ Kubernetes Tools Stack for 2024 Navigating the vast Kubernetes ecosystem can be overwhelming with new tools popping up all
➡️ Kubernetes Tools Stack for 2024 Navigating the vast Kubernetes ecosystem can be overwhelming with new tools popping up all the time. I've put together a list of top tools in key categories to help you stay on top of your game: ✅ Monitoring and ObservabilityInfrastructure OperationsContainer RuntimeNetworkingSecurityCluster Management 🎄 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

📘 Top 12 ☁️ Git Commands Cheat Sheet 🌐 git init - Initialize a new Git repository. 🌐 git clone - Clone a remote repository to your local machine. 🌐 git status - Check the current state of your working directory. 🌐 git add - Stage changes for the next commit. 🌐 git commit - Record staged changes and create a snapshot. 🌐 git push - Upload local changes to a remote repository. 🌐 git pull - Fetch and merge changes from a remote repository. 🌐 git branch - List, create, or delete branches. 🌐 git checkout / git switch - Switch between branches or commits. 🌐 git merge - Integrate changes from one branch into another. 🌐 git diff - View differences between working directory and staging area. 🌐 git log - Display a chronological list of commits. ⭐ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🙂 Monitoring vs Observability ~ The Simple Description ✍️ When dealing with application issues, both monitoring and observability play crucial roles. Monitoring signals when something is wrong, while observability dives deeper into why it's happening and how to fix it. 🏮 Key Terms Simplified: 📚 Monitoring: - Metric: Server CPU usage exceeds 90%. - Log: Error messages logged when the application encounters issues. - Threshold: An alert triggers when the error rate surpasses a predefined limit. 📚 Observability: - Distributed Tracing: Captures end-to-end traces of requests across microservices. - Logs: Detailed logs capturing each step of a transaction or user journey. - Metrics: Comprehensive metrics on specific components' performance. - Events: Capturing real-time events, such as database queries or external service calls. 🏮 Scenario-Based Example: Imagine an e-commerce application facing performance issues. ✔️ Monitoring: - Alert: Monitoring triggers an alert for high CPU usage. - Action: Operations team identifies the server causing the issue. - Resolution: Allocates more resources to the overloaded server. ✔️ Observability: - Exploration: Observability tools reveal a slowdown in checkout times. - Logs: Detailed logs indicate latency in communication with the payment gateway. - Traces: Distributed traces uncover the sequence of microservices contributing to the slowdown. - Collaboration: Developers and operations collaborate to address specific bottlenecks. - Resolution: Implement code optimizations and introduce a fallback mechanism for the payment service.
In this scenario, monitoring alone might have detected high CPU usage but lacked the context needed to resolve the user-reported slowdown. Observability, with its broader data collection, allowed for a more in-depth exploration, collaboration, and targeted resolution of the performance issue.
✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀

A meme that's sure to resonate with everyone riding the DevOps and cloud wave. It’s our good pal, Elmo, with 'new certificati
A meme that's sure to resonate with everyone riding the DevOps and cloud wave. It’s our good pal, Elmo, with 'new certifications' as his latest obsession, while 'projects' and 'study topics' wait in the wings. Here’s the deal: Certifications are like the cherry on top of your cloud sundry. They're shiny, they're nice, but what really makes the sundae is the scoop of solid knowledge and the sprinkles of hands-on experience.
Before you dive headfirst into the sea of certifications, anchor yourself in the fundamentals of DevOps and cloud computing. Get your hands dirty with real-world projects. Tinker with Kubernetes, wrestle with Terraform, and flirt with serverless architectures.
The thing is, certifications will validate your skills, but they won't build them. You don’t want to be a cert-collecting lab rat lost in a maze of theory. What makes you stand out is not just the badges on your LinkedIn profile but the stories of problem-solving, innovation, and resilience from your actual work. So, by all means, aim for those certifications – but not before you’ve laid a foundation of practical skills and knowledge. Let's ensure that when we reach for the stars (or certs, in this case), our feet are firmly planted in the cloud soil of expertise. 💬 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🐧 The Linux file system isn't just a bunch of folders - it's the organizational bedrock of your entire system. Mastering it can take your tech career to the next level. Here's why: ⏩ 𝗞𝗲𝘆 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝗶𝗲𝘀 & 𝗧𝗵𝗲𝗶𝗿 𝗥𝗼𝗹𝗲𝘀: ➡️ Root (/): The central hub, connecting everything. ➡️ Bin & Sbin: Essential tools for basic system operation and advanced tasks. ➡️ Etc: Configuration files that make your system tick. ➡️ Home: Your personal storage space for files and documents. ➡️ Var: Holds dynamic data like logs and emails, constantly changing. ➡️ Usr: A vast library of applications, libraries, and data used by the system. ➡️ Lib & Opt: Support files for other programs and optional software. ➡️ Tmp: Temporary storage for the system's ongoing work. ➡️ Boot & Dev: Responsible for booting the system and interacting with hardware. ➡️ Proc & Root: Special directories for system information and the root user. ➡️ Run & Srv: Temporary files for running processes and data for system services. ➡️ Sys & Mnt: Virtual system info and mount points for external storage. ➡️ Media: Where removable media like CDs and cameras connect. ⏩ 𝗪𝗵𝘆 𝗦𝗵𝗼𝘂𝗹𝗱 𝗬𝗼𝘂 𝗖𝗮𝗿𝗲? Linux powers countless technologies, and familiarity with its file system gives you an edge in various tech fields: ✔️ Software Engineering: Navigating codebases and system files with ease. ✔️ DevOps: Automating tasks and managing infrastructure efficiently. ✔️ Data Engineering: Working with data stored on Linux systems. ✔️ AI: Understanding where data and resources are located. ✔️ System Administration: Maintaining and troubleshooting Linux systems like a pro. ⏩ 𝗞𝗻𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗶𝗹𝗲 𝘀𝘆𝘀𝘁𝗲𝗺: 🔶 Saves you time by finding files quickly. 🔶 Empowers you to troubleshoot issues effectively. 🔶 Makes you a valuable asset to any team. ⏩ 𝗚𝗼 𝗕𝗲𝘆𝗼𝗻𝗱 𝘁𝗵𝗲 𝗕𝗮𝘀𝗶𝗰𝘀: This is just a starting point. Dive deeper, explore each directory, and unlock your tech potential. Share your questions in the comments, and let's learn together! ✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀

💥 The Payments Ecosystem How do fintech startups find new opportunities among so many payment companies? What do PayPal, Str
💥 The Payments Ecosystem How do fintech startups find new opportunities among so many payment companies? What do PayPal, Stripe, and Square do exactly? ➡️ Steps 0-1: The cardholder opens an account in the issuing bank and gets the debit/credit card. The merchant registers with ISO (Independent Sales Organization) or MSP (Member Service Provider) for in-store sales. ISO/MSP partners with payment processors to open merchant accounts. ➡️ Steps 2-5: The acquiring process. The payment gateway accepts the purchase transaction and collects payment information. It is then sent to a payment processor, which uses customer information to collect payments. The acquiring processor sends the transaction to the card network. It also owns and operates the merchant’s account during settlement, which doesn’t happen in real-time. ➡️ Steps 6-8: The issuing process. The issuing processor talks to the card network on the issuing bank’s behalf. It validates and operates the customer’s account. I’ve listed some companies in different verticals in the diagram. Notice payment companies usually start from one vertical, but later expand to multiple verticals. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

✨ 𝗠𝗲𝗿𝗴𝗶𝗻𝗴 𝗔𝗴𝗶𝗹𝗲 𝗮𝗻𝗱 𝗗𝗲𝘃𝗢𝗽𝘀: 𝗬𝗼𝘂𝗿 𝗕𝗹𝘂𝗲𝗽𝗿𝗶𝗻𝘁 𝘁𝗼 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 ✨ ⚙️ 𝗔𝗴𝗶𝗹𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 ✔️ Initiate the project by having the Product Owner create product requirements documents. ✔️ Conduct daily stand-up meetings to ensure everyone is on the same page and to make progress through the product development stages with user input. ✔️ Utilize product backlogs to plan and deliver the final product in sprints. ⚙️ 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 ✔️ Commit code to a version control system, then build, test, and maintain code quality. ✔️ Use tools such as GitHub or Bitbucket for code repositories, which can integrate seamlessly with platforms like Jira or Rally. ✔️ Utilize continuous integration servers to streamline operations and monitor code quality metrics in real time. ⚙️ 𝗔𝗴𝗶𝗹𝗲 𝗗𝗲𝘃𝗢𝗽𝘀 𝗖𝘆𝗰𝗹𝗲 ✔️ Adhere to daily stand-up meetings, sprint reviews, and continuous testing. ✔️ Maintain transparency using communication tools like Slack or Teams. ✔️ Early bug detection, support for frequent releases, and constant feedback loops are essential. ⚙️ 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆 & 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸 ✔️ Leverage tools like SonarQube for static code analysis, triggering builds, and providing valuable feedback. ✔️ Implement unit tests with JaCoCo and JUnit, aiming for 100% execution success and at least 80% code coverage. ✔️ Utilize Jenkins and Maven for build and deployment to minimize defects and vulnerabilities. ⚙️ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝘂𝗿𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 ✔️ Utilize tools such as Selenium for regression and user acceptance testing. ✔️ Enhance security with regular scans using tools like Qualys. ✔️ Manage infrastructure using infrastructure as code tools like Terraform and Ansible. 🔖 𝗡𝗼𝘁𝗲: This is a baseline guide, and it is important to adjust the tools and methodologies used to match your team's specific needs and organizational objectives. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

🔴 Monolith, N-Tier, Microservices: Choosing the Right Architecture for Your Project Choosing the right software architecture is crucial for building scalable, maintainable, and agile applications. Three prominent options stand out: Monolithic, N-Tier, and Microservices. Each has its strengths and weaknesses, making the choice dependent on your specific project needs. Let's delve into each: ➡️ 𝗠𝗼𝗻𝗼𝗹𝗶𝘁𝗵𝗶𝗰: Description: A single, self-contained application where all functionalities are bundled together. ➡️ Pros: ✅ Simple to understand and develop. ✅ Easy deployment and maintenance. ✅ Good performance for smaller applications. ➡️ Cons: 🚫 Scalability challenges as the application grows. 🚫 Changes to one part can affect the entire system. 🚫 Tight coupling makes independent deployments and updates difficult. ➡️ 𝗡-𝗧𝗶𝗲𝗿: Description: Divides the application into logical layers (presentation, business logic, data access) that communicate through well-defined interfaces. ➡️ Pros: ✅ Improved modularity and separation of concerns. ✅ Enhanced scalability compared to monoliths. ✅ Easier to maintain specific layers. ➡️ Cons: 🚫 Increased complexity due to layered communication. 🚫 Can still be challenging to scale horizontally across all layers. 🚫 Requires careful design and management of interfaces. ➡️ 𝗠𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀: ➡️ Description: Breaks down the application into completely independent, self-contained services that communicate via APIs. ➡️ Pros: ✅ Highly scalable and adaptable. ✅ Independent deployment and updates for each service. ✅ Technology flexibility: use different languages and frameworks for different services. ➡️ Cons: 🚫 Increased development and operational complexity. 🚫 Distributed system challenges like network latency and distributed tracing. 🚫 Requires robust communication and orchestration mechanisms. ➡️ 𝗖𝗵𝗼𝗼𝘀𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗙𝗶𝘁: The best architecture depends on your project's specific needs. Consider factors like: Size and complexity: For smaller, simpler applications, Monolithic might be sufficient. For larger, more complex systems, N-Tier or Microservices offer more advantages. Scalability needs: If you anticipate significant growth, N-Tier or Microservices provide better horizontal scalability. Development and deployment preferences: Monolithic offers simplicity, while Microservices offer flexibility and independent deployments. Team size and expertise: Microservices require a larger, more experienced team to manage effectively. ➡️ 𝗥𝗲𝗺𝗲𝗺𝗯𝗲𝗿: ➡️ There's no "one-size-fits-all" solution. ➡️ Hybrid approaches combining elements of different architectures can be effective. ➡️ Continuously evaluate your needs and adapt your architecture as your project evolves.

1707626802579.gif6.46 MB

💥 Hiring .. 🔖 AWS DevOps Engineer Exp - 2-5Years Location - Bengaluru & Pune 🔖 Azure Engineer Exp - 0-5Years Location - Bengaluru & Noida 🖥 Upload your cv with 100% Details --> https://lnkd.in/ezPzXX9 ⚠️ Note: Shortlisted profile get a call in a 2 Days

📌 Master Terraform in Minutes: The Terraform CLI Cheat Sheet You Need Terraform is an infrastructure as a code tool that let
📌 Master Terraform in Minutes: The Terraform CLI Cheat Sheet You Need Terraform is an infrastructure as a code tool that lets you build, change, and version infrastructure safely and efficiently. ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy & @devopsdocs 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

Hello 🤗, ⭐️ Join this Telegram Group: https://t.me/devopsdocs Here we posted all DevOps & Cloud (AWS, Azure, Google Cloud) Notes 📚, PDFs, Latest Interview Questions. ✉️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

From 'It works on my machine!' to 'It works on my container!' but hey at least it works! ✔️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿
From 'It works on my machine!' to 'It works on my container!' but hey at least it works! ✔️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

📌 https://harshhaa.hashnode.dev/end-to-end-cicd-pipeline-using-github-actions-for-android-application 🔗 More DevOps Projects : HERE Follow 🍩 Like 👍 Share 👍 Comment Your thoughts 💬 🌟 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

https://prodevopsguy.github.io/2024/Ultimate-DevOps-Bootcamp-2024-Pack/ ⚠️ Note: Anyone Interested, can open the Blog 🌐, share it to your friends and colleagues. 🔵 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!

☁️ 𝐇𝐨𝐰 𝐀𝐖𝐒 𝐍𝐞𝐭𝐰𝐨𝐫𝐤 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐖𝐨𝐫𝐤𝐬 Diving into the intricacies of AWS network architecture, we find the foundation of a highly available, scalable, and secure cloud ecosystem. Here's a snapshot: 🌎 Global Infrastructure: AWS boasts a global network of data centers and availability zones, ensuring fault tolerance and high availability. 🌍 Regions: The world is divided into AWS geographic regions, each housing multiple availability zones. 🏢 Virtual Private Cloud (VPC): VPC forms the core of AWS networking, allowing for isolated virtual networks within the cloud. 🔵 Subnets: Within VPCs, subnets segment IP address spaces for logical resource isolation. 🌐 Internet Gateway: This VPC component facilitates communication between public subnets and the internet. 🌐 NAT Gateway/NAT Instance: For private subnet resources to access the internet securely. ⚖️ Elastic Load Balancing (ELB): Ensures high availability and fault tolerance by distributing incoming traffic across multiple instances. 🌐 Route 53: AWS's DNS web service handles domain registration, DNS routing, and health monitoring. 🔒 Virtual Private Network (VPN): Enables secure communication between on-premises networks and VPCs. 🛡 Security Groups and Network ACLs: Enhance security by controlling inbound and outbound traffic. 🤝 VPC Peering: Connects multiple VPCs, enabling direct communication. 🌐 Transit Gateway: Simplifies network management by providing centralized connectivity for VPCs and on-premises networks. 🔗 AWS PrivateLink: Offers private connectivity without exposing traffic to the public internet. This robust architecture balances flexibility, reliability, and scalability while prioritizing security and compliance, empowering businesses to confidently deploy applications in the cloud. ☁️ ✈️ 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝗳𝗼𝗿 𝗺𝗼𝗿𝗲 𝘀𝘂𝗰𝗵 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗰𝗹𝗼𝘂𝗱 & 𝗗𝗲𝘃𝗢𝗽𝘀!!!