𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗟𝗶𝘀𝘁 𝗼𝗳 20 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻𝗹𝘆 𝘂𝘀𝗲𝗱 𝐃𝐨𝐜𝐤𝐞𝐫 🐬 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀!!
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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In This Project, we are Developing and Deploying a video streaming application on EC2 using Docker and AWS Developers Tools.
📣 Note: Fork this Repository🧑💻 for upcoming future projects, Every week releases new Project.
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Choosing the right load balancer can make a world of difference for your application's performance and reliability! Here are 6 key points to consider:
ALB: Layer 7 (Application Layer)
NLB: Layer 4 (Network Layer)
ALB: Works with IP, instance, and Lambda target types
NLB: Works with IP, instance, and ALB target types
ALB: Ideal for HTTP/HTTPS traffic with advanced routing capabilities
NLB: Perfect for TCP/UDP traffic with ultra-low latency
ALB: Content-based routing (URL, host headers, etc.)
NLB: IP protocol data-based routing
ALB: Supports HTTP, HTTPS, and gRPC protocols
NLB: Supports TCP, UDP, and TLS protocols
ALB: Web applications, microservices architectures
NLB: Real-time applications, IoT, gaming where low latency is critical
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2 to 3 years of experience as a DevOps Engineer or in a similar role.
Strong experience with cloud services (AWS, GCP, Azure), containerization (Docker, Kubernetes), and automation tools (Ansible, Terraform).
Proficient in scripting languages such as Python, Bash.
Experience with CI/CD tools such as Jenkins, Circle CI, GitLab.
Strong problem-solving skills and the ability to work under pressure to solve complex issues.
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For Cloud-DevOps-SRE Engineers!!
✅ 𝗥𝗲𝗲𝗹 𝗮𝗱𝘃𝗶𝗰𝗲: Learn Linux, Shell Scripting, Python, Docker, Kubernetes, AWS, GCP, Azure, Jenkins, Argo, Spinnaker, Ansible, Chef, Prometheus, Grafana + 30 tools.
✅ 𝗥𝗲𝗮𝗹 𝗮𝗱𝘃𝗶𝗰𝗲: Be good with your English, please. Know how to write a professional email, a retrospective doc, a CR doc, and be ready with good coverage of questions in the client meeting. Then learn just one tool in each category of DevOps practices.
👉 Application Delivery: Argo
👉 Secret Management: Vault
👉 Infrastructure provisioning: Terraform
👉 Building Containers: Docker
👉 Orchestrating Containers: Kubernetes
+ Few services of cloud
✅ 𝗘𝘃𝗲𝗿𝘆𝗼𝗻𝗲 𝘄𝗮𝗻𝘁𝘀 𝗮 𝗷𝗼𝗯 𝗯𝘂𝘁 𝗮𝗿𝗲 𝘆𝗼𝘂 𝗼𝗻 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗽𝗮𝘁𝗵?
📱 𝗙𝗼𝗹𝗹𝗼𝘄 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
+ Few services of cloud
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Top 10 Docker 🐬 Secrets for DevOps Beginners in 2024
➡️ This article is specifically aimed at DevOps beginners who are eager to unlock the potential of Docker. We'll look into 10 secrets that will empower you to build, deploy, and manage containerized applications with confidence.
𝑓𝑜𝑟 𝑚𝑜𝑟𝑒 𝑖𝑛𝑓𝑜, 𝑦𝑜𝑢 𝑐𝑎𝑛 𝑐ℎ𝑒𝑐𝑘 𝑡ℎ𝑖𝑠 𝑙𝑖𝑛𝑘:
🖥 https://prodevopsguy.site/top-10-docker-secrets-for-devops-beginners-in-2024
😎 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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Kubernetes Design Patterns are reusable solutions to common problems encountered when deploying applications on Kubernetes. They help in structuring and organizing applications for scalability, resilience, and maintainability. Some key Kubernetes design patterns include:
🛡 Sidecar Pattern: Involves deploying an additional container alongside the main application container to extend its functionality without altering the main container.
🛡 Ambassador Pattern: Conceals complexity by providing a unified interface to the outside world for a container, simplifying communication with external services.
🛡 Adapter Pattern: Allows a pod to present a consistent interface to the external world by transforming requests and responses as necessary.
🛡 Initialize Pattern: Separates initialization-specific tasks from the main application logic, ensuring that containers are initialized properly before serving requests.
🛡 Work-Queue Pattern: Enables the processing of arbitrary code within containers and facilitates the implementation of work-queue systems using Kubernetes primitives.
🛡 Custom-Controller Pattern: Implements custom logic to observe changes in Kubernetes objects and ensures that the cluster reaches the desired state based on these modifications.
🛡 Self-Awareness Patterns: Enable applications to gather metadata and understand their runtime environment, facilitating dynamic configuration and adaptation.
By leveraging these design patterns, developers can design more robust and scalable applications that effectively utilize the capabilities of the K8s platform.
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
By leveraging these design patterns, developers can design more robust and scalable applications that effectively utilize the capabilities of the K8s platform.
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- Cab Facility available
- 5 Days working
- Night Shifts & WFO
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When you perform kubectl apply, Kubernetes executes a series of steps to manage the desired state of the resources defined in the provided configuration files. Here’s on what happens:
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Basic DevOps CI-CD ♾ Workflow in every DevOps Project
🖥 https://prodevopsguy.xyz/basic-devops-ci-cd-workflow
🌟 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗗𝗲𝘃𝗢𝗽𝘀/𝗖𝗹𝗼𝘂𝗱 𝗕𝗹𝗼𝗴𝘀 & 𝗮𝗿𝘁𝗶𝗰𝗹𝗲𝘀: LINK
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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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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Git 🌐 Cheat Sheet!!!
😎 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗟𝗶𝘀𝘁 𝗼𝗳 20 𝗺𝗼𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗻𝗹𝘆 𝘂𝘀𝗲𝗱 𝐃𝐨𝐜𝐤𝐞𝐫 🐬 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀!!
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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1. What is infrastructure as code (IaC)?
2. Explain the difference between declarative and imperative programming in the context of infrastructure provisioning.
3. Why is IaC important in cloud computing?
4. What are the benefits of using infrastructure as code?
5. Compare CloudFormation and Terraform in terms of language, features, and ecosystem.
1. What is Terraform and how does it work?
2. Describe the basic structure of a Terraform configuration file.
3. How does Terraform maintain state, and why is state important?
4. What is the purpose of a Terraform provider?
5. Explain the difference between a Terraform resource and a data source.
6. How does Terraform handle dependencies between resources?
7. What is Terraform's execution plan?
8. How do you manage sensitive information (like API keys) in Terraform configurations?
9. Describe the significance of the Terraform lifecycle.
1. What is AWS CloudFormation and how does it work?
2. Explain the structure of an AWS CloudFormation template.
3. What are CloudFormation stacks and what purpose do they serve?
4. How does CloudFormation handle dependencies between resources?
5. What is the difference between an AWS resource and an AWS parameter in a CloudFormation template?
6. How can you conditionally create resources in AWS CloudFormation?
7. What is AWS CloudFormation change sets and why are they useful?
8. Explain the concept of intrinsic functions in CloudFormation.
9. How does AWS CloudFormation handle rollback in case of a failure?
10. What is the purpose of AWS CloudFormation Designer?
1. Discuss the concept of variable interpolation in Terraform.
2. How do you handle versioning in Terraform?
3. Explain how to create reusable modules in Terraform.
4. What is Terraform's "remote backends" feature?
5. Discuss strategies for handling drift in Terraform.
6. How can you achieve idempotence in Terraform configurations?
7. Explain the difference between "provisioners" and "null resources" in Terraform.
8. How does Terraform handle secrets management?
9. Discuss the role of "workspaces" in Terraform.
10. What are CloudFormation stack policies and when would you use them?
1. What are some best practices for organizing Terraform code?
2. How do you handle state isolation in Terraform?
3. Explain the concept of "immutable infrastructure" and its relevance to IaC.
4. Discuss strategies for managing sensitive data in CloudFormation templates.
5. What are some security considerations when working with IaC tools?
6. How can you optimize the performance of Terraform deployments?
7. What is the "terraform validate" command used for?
8. How do you manage drift in CloudFormation templates?
9. Discuss the importance of tagging resources in CloudFormation.
10. What are some strategies for rolling back changes in Terraform?
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Hiring! AWS DevOps Engineer at LogiQuad Solutions ⭐️
➡️ Exp:- 3 to 5 years
➡️ Location : Remote
🔧 Expertise & Experience:-
AWS Cloud: Extensive hands-on experience designing and managing scalable, secure cloud environments.
Terraform: Proficient in Infrastructure as Code (IaC) to automate and optimize infrastructure deployment.
Kubernetes: Skilled in deploying and managing containerized applications for seamless, efficient scaling.
Serverless Applications: Developed and maintained serverless architectures, ensuring cost-efficiency and agility.
Infrastructure Development: Proven track record of building infrastructure from scratch, tailoring solutions to meet business needs.
✉️ Interested candidates can send their resumes to ppandya@logiquad.com
✈️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
AWS Cloud: Extensive hands-on experience designing and managing scalable, secure cloud environments.
Terraform: Proficient in Infrastructure as Code (IaC) to automate and optimize infrastructure deployment.
Kubernetes: Skilled in deploying and managing containerized applications for seamless, efficient scaling.
Serverless Applications: Developed and maintained serverless architectures, ensuring cost-efficiency and agility.
Infrastructure Development: Proven track record of building infrastructure from scratch, tailoring solutions to meet business needs.
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Basic 📱 Git Flow in DevOps ♾ CI-CD!
1️⃣ . Developer Creates Feature Branch: The developer creates a new feature branch and is used to work on a new feature or a specific task.
2️⃣ . Developer Writes Code: The developer writes the necessary code for the feature in their local development environment.
3️⃣ . Developer Commits Changes: Once the developer is satisfied with the changes, they commit the changes to the feature branch in the local Git repository.
4️⃣ . Developer Creates Pull Request: The developer pushes the committed changes by creating a pull request to merge the feature branch into the main branch.
5️⃣ . Code Review by Team: The pull request initiates a code review process where team members review the changes.
6️⃣ . Approval of Pull Request: After addressing any feedback and making necessary adjustments, the pull request is approved by the reviewers.
7️⃣ . Merge to Main Branch: The approved pull request is merged into the main branch of the Git repository.
8️⃣ . Triggers CI/CD Pipeline: This automation ensures that the changes are continuously integrated and deployed.
9️⃣ . Then we follow the procedure for building and testing the code, deploying to staging env. Once the tests in the staging environment pass, a manual approval is required to deploy the changes to the production environment. Once the code is deployed to production env, the prod env is monitored using Prometheus to track the performance and health of the application. The collected metrics are visualized using Grafana. Finally alerts are configured.
❤️ 𝐅𝐨𝐥𝐥𝐨𝐰 @prodevopsguy 𝐟𝐨𝐫 𝐦𝐨𝐫𝐞 𝐬𝐮𝐜𝐡 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐚𝐫𝐨𝐮𝐧𝐝 𝐜𝐥𝐨𝐮𝐝 & 𝐃𝐞𝐯𝐎𝐩𝐬!!! // 𝐉𝐨𝐢𝐧 𝐟𝐨𝐫 𝐃𝐞𝐯𝐎𝐩𝐬 𝐃𝐎𝐂𝐬: @devopsdocs
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Here's a streamlined workflow for managing Terraform remote state with AWS:
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In this article, we’ll explore a practical example of a Fully Serverless Architecture implemented using Terraform — a popular IaC tool and CI/CD implemented using GitHub Actions. The code repository we’ll be examining is hosted on GitHub
I have a NodeJS Cloud Native API which I have used to deploy in this architecture. This API is specifically designed to make use of AWS serverless services.
Following are the serverless services used in this project:
❤️🔥 Share with friends and colleagues❤️🔥
📣 Note: Fork this Repository☁️ for upcoming future projects, Every week releases new Project.
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