Muhammad Ilyas’ Post

🛠 DevOps Interview Question🌟 1. What is a statefile? 2. Where do you store the statefile? 3. What is a null resource in Terraform? 4. CI/CD workflow. 5. Terraform code to deploy an EC2 instance. 6. What will appear in the Terraform plan if you comment out a resource block in the above code? 7. Write a script to find the largest and smallest elements of an integer array. 8. Entry point vs CMD in a Dockerfile. 9. Add vs Copy in Dockerfile. 10. Describe Kubernetes architecture. 11. Do you know Ansible? 12. Difference between Secrets and ConfigMap in Kubernetes? 13. Docker lifecycle. 14. What is a ReplicaSet? 15. Is it possible to run Kubernetes in a single-node local environment? 16. How can we remove a file from Git without removing the filesystem? 17. How can we discover if a branch has already been merged in Git? 18. Application Load Balancer vs Network Load Balancer. 19. What is Route53? 20. Experience with GCP Cloud? 21. What is the difference between a single Jenkins CI/CD pipeline and multiple pipelines? 22. What are the issues of using a single pipeline vs. multiple pipelines? 23. Current Jenkins version. 24. Write a Jenkins pipeline script for Terraform deployment. 25. How to create 10 EC2 machines with incremental values like 0,1,2, etc. 26. How to terminate 9 EC2 instances and leave one EC2 machine running. 27. How to connect on-premise to an application in a VPC cloud. 28. Terraform taint. 29. Terraform refresh. 30. What will happen if someone changes resource values on the console and you do a Terraform apply? 31. What is a Terraform module, and what is its purpose? 32. What is CloudTrail? 33. What is a Load Balancer and Auto Scaling? 34. What is Databricks? #Linux #AWS #DevOps

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🛠 DevOps Interview Question🌟 1. What is a statefile? 2. Where do you store the statefile? 3. What is a null resource in Terraform? 4. CI/CD workflow. 5. Terraform code to deploy an EC2 instance. 6. What will appear in the Terraform plan if you comment out a resource block in the above code? 7. Write a script to find the largest and smallest elements of an integer array. 8. Entry point vs CMD in a Dockerfile. 9. Add vs Copy in Dockerfile. 10. Describe Kubernetes architecture. 11. Do you know Ansible? 12. Difference between Secrets and ConfigMap in Kubernetes? 13. Docker lifecycle. 14. What is a ReplicaSet? 15. Is it possible to run Kubernetes in a single-node local environment? 16. How can we remove a file from Git without removing the filesystem? 17. How can we discover if a branch has already been merged in Git? 18. Application Load Balancer vs Network Load Balancer. 19. What is Route53? 20. Experience with GCP Cloud? 21. What is the difference between a single Jenkins CI/CD pipeline and multiple pipelines? 22. What are the issues of using a single pipeline vs. multiple pipelines? 23. Current Jenkins version. 24. Write a Jenkins pipeline script for Terraform deployment. 25. How to create 10 EC2 machines with incremental values like 0,1,2, etc. 26. How to terminate 9 EC2 instances and leave one EC2 machine running. 27. How to connect on-premise to an application in a VPC cloud. 28. Terraform taint. 29. Terraform refresh. 30. What will happen if someone changes resource values on the console and you do a Terraform apply? 31. What is a Terraform module, and what is its purpose? 32. What is CloudTrail? 33. What is a Load Balancer and Auto Scaling? 34. What is Databricks? hashtag #Linux #AWS #DevOps

Basic #Terraform flow in CI-CD #DevOps! 1. Developer: The developer writes both Terraform configuration files and application code. 2. Source Control: The developer commits the code changes to a local Git repository and then pushes these commits to a remote repository. 3. Static Code Analysis: Before triggering the CI/CD pipeline, a static code analysis tool like SonarQube scans the code for potential security vulnerabilities and code quality issues. 4. CI/CD Tool: The push to the remote repository triggers the CI/CD pipeline configured in Jenkins. 5. CI/CD tool: There are plenty of CI/CD tool available like CircleCI, GitHub Actions, ArgoCD and others. 6. Terraform Initialization: Jenkins runs the terraform init command to initialize the Terraform working directory, downloading the necessary provider plugins. 7. Infrastructure Planning: Jenkins executes terraform plan, which generates an execution plan. This plan shows what actions Terraform will take to achieve the desired state defined in the configuration files. 8. Infrastructure Application: Jenkins runs terraform apply to apply the planned changes. This step makes actual changes to the cloud infrastructure as defined in the Terraform configuration. 9. Infrastructure Deployment: The infrastructure is deployed to the specified cloud provider (e.g., AWS, Azure, GCP). 10. Infrastructure: The deployed resources (e.g., VMs, networks, storage) are now provisioned and ready for use. #sonarqube #devops #azure #aws #gcp

Here’s my favorite DevOps stack: Cloud Provider: AWS CI/CD: GitHub Actions, Jenkins Log Management: ELK Stack Container Runtime: Docker Infrastructure as Code: Terraform Monitoring & Alerting: Prometheus, Grafana, Elasticsearch, Logstash, Kibana Container Orchestration: Kubernetes Configuration Management: Ansible Secrets Management: HashiCorp Vault Version Control: Git(GitHub) Languages for Scripting: Shell, Python Each of these tools plays a key role in ensuring automation, scalability, and security in my workflows. But at the end of the day, how you use them to create value is what really counts. What about you? What tools do you rely on in your DevOps journey?

Here’s my favorite DevOps stack: Cloud Provider: AWS CI/CD: GitHub Actions, Jenkins Log Management: ELK Stack Container Runtime: Docker Infrastructure as Code: Terraform Monitoring & Alerting: Prometheus, Grafana, Elasticsearch, Logstash, Kibana Container Orchestration: Kubernetes Configuration Management: Ansible Secrets Management: HashiCorp Vault Version Control: Git(GitHub) Languages for Scripting: Shell, Python Each of these tools plays a key role in ensuring automation, scalability, and security in my workflows. But at the end of the day, how you use them to create value is what really counts. What about you? What tools do you rely on in your DevOps journey?

***** DevOps Interview Question****** 1. What is a statefile? 2. Where do you store the statefile? 3. What is a null resource in Terraform? 4. CI/CD workflow. 5. Terraform code to deploy an EC2 instance. 6. What will appear in the Terraform plan if you comment out a resource block in the above code? 7. Write a script to find the largest and smallest elements of an integer array. 8. Entry point vs CMD in a Dockerfile. 9. Add vs Copy in Dockerfile. 10. Describe Kubernetes architecture. 11. Do you know Ansible? 12. Difference between Secrets and ConfigMap in Kubernetes? 13. Docker lifecycle. 14. What is a ReplicaSet? 15. Is it possible to run Kubernetes in a single-node local environment? 16. How can we remove a file from Git without removing the filesystem? 17. How can we discover if a branch has already been merged in Git? 18. Application Load Balancer vs Network Load Balancer. 19. What is Route53? 20. Experience with GCP Cloud? 21. What is the difference between a single Jenkins CI/ CD pipeline and multiple pipelines? 22. What are the issues of using a single pipeline vs. multiple pipelines? 23.Current Jenkins version. 24. Write a Jenkins pipeline script for Terraform deployment. 25.How to create 10 EC2 machines with incremental values like 0,1,2, etc. 26.How to terminate 9 EC2 instances and leave one EC2 machine running. 27. How to connect on-premise to an application in a VPC cloud. 28. Terraform taint. 29. Terraform refresh. 30. What will happen if someone changes resource values on the console and you do a Terraform apply? 31. What is a Terraform module, and what is its purpose? 32. What is CloudTrail? 33. What is a Load Balancer and Auto Scaling? 34. What is Databricks? #interviewprep #devops #cloud #linux # networking

🚀 Deployed an Amazon Prime Clone Using CI/CD and Kubernetes! 🎬✨ Proud to share my recent journey of deploying an Amazon Prime Clone using some of the most robust tools and technologies in the DevOps ecosystem. The entire process involved setting up a CI/CD pipeline, container orchestration, and monitoring, making it a full-stack deployment experience! Here's a quick overview of the tech stack and process: 🔧 Steps and Tools Involved: 1️⃣ AWS: IAM setup, CLI configuration, EC2 for hosting Jenkins, ECR for container image storage, and EKS for Kubernetes cluster management. 2️⃣ Terraform: Automated resource creation for EC2 and EKS clusters. 3️⃣ Jenkins: Configured pipelines for both build and deployment, integrated with SonarQube for code quality checks. 4️⃣ Docker: Containerized the application for seamless deployments. 5️⃣ ArgoCD: Streamlined Kubernetes deployments with declarative GitOps practices. 6️⃣ Prometheus & Grafana: Set up monitoring and custom dashboards for application metrics. 7️⃣ GitHub: Hosted and managed the application code and pipeline scripts. ✨ Key Highlights: Built a multi-stage pipeline for both application builds and deployment to Kubernetes clusters. Leveraged SonarQube to ensure code quality. Used ArgoCD to simplify Kubernetes deployments and manage manifests. Integrated Prometheus & Grafana to monitor system performance. 🌟 Final Output: A fully functional Amazon Prime Clone running on a Kubernetes cluster with load-balanced endpoints and real-time monitoring! 🎉 For those interested in replicating this deployment or learning more, check out the GitHub repo here: https://lnkd.in/gE_YxA7P This project was a fantastic opportunity to explore the synergy of tools like Terraform, Jenkins, Docker, and Kubernetes while ensuring scalability and reliability. 💡 Let’s connect if you have ideas or want to discuss DevOps, cloud computing, or Kubernetes deployments! 🌐 #DevOps #AWS #Kubernetes #Terraform #Jenkins #Docker #SonarQube #Prometheus #Grafana #CloudComputing #CICD #Automation #TechInnovation #OpenSource #LearningByDoing

🚀 Building a Robust CI/CD Pipeline for Modern Applications 🚀 I recently worked on an exciting DevOps project where I implemented a fully automated CI/CD pipeline using Terraform and AWS Cloud for deploying a clone of the Amazon Prime Video application. 🔧 Technologies Used: Jenkins: Orchestrated the entire pipeline with plugins like SonarQube Scanner, NodeJS, and Docker. SonarQube: Ensured high code quality with static code analysis and quality gate checks. Trivy: Conducted security vulnerability scanning for Docker images. Docker & AWS ECR: Built and stored Docker images securely. ArgoCD, Prometheus, Grafana: Automated deployment and ensured application monitoring. 📈 Project Workflow: Pulled source code from GitHub. Ran static code analysis with SonarQube. Built a Docker image of the application. Conducted security scans with Trivy. Deployed the Dockerized application to AWS EKS using ArgoCD. Monitored the pods using Grafana and Prometheus for real-time insights. 🎯 Objective: This project was designed to integrate security, scalability, and automation while managing the application lifecycle in a cloud environment. By leveraging tools like Terraform for infrastructure as code (IaC) and AWS for cloud services, I gained hands-on experience with critical DevOps practices. Feel free to check out the project here: https://lnkd.in/g_H7wCk4 #DevOps #CI_CD #AWS #Terraform #CloudComputing #Jenkins #SoftwareDevelopment #Automation #Docker

As a DevOps engineer, I would like to install and test kubernetes with Kubespray once. I think the installation process will be much easier with this tool ...! 😎 (Milad Shahrokhzadeh) Kubespray is an open-source tool that automates the deployment of Kubernetes clusters across various cloud providers and bare-metal infrastructure. Whit this tool, simplify the process of setting up and managing Kubernetes clusters. It was originally developed by MIRANTIS and is now maintained by the community under the Apache 2.0 license. (Milad Shahrokhzadeh) Here's a brief overview of what Kubespray is and what it can do: What is Kubespray? Kubespray is a Python-based tool that uses Ansible playbooks to automate the deployment of Kubernetes clusters.  (Milad Shahrokhzadeh) Key Features 1. Multi-cloud support: Kubespray supports deploying Kubernetes clusters on various cloud providers, including: Amazon Web Services (AWS) Microsoft Azure Google Cloud Platform (GCP) OpenStack VMware vSphere Bare metal 2. Automated cluster deployment: Kubespray automates the entire process of setting up a Kubernetes cluster, including: Creating nodes and networking infrastructure Installing Kubernetes components (e.g., etcd, kubelet, kubeadm) Configuring cluster networking and DNS 3. Scalability: Kubespray supports deploying clusters of varying sizes, from small dev environments to large-scale production clusters. 4. Security: Kubespray provides built-in support for secure cluster configurations, including: TLS encryption Network policies Role-Based Access Control (RBAC) (Milad Shahrokhzadeh) 😉 #DevOps #dev_ops #DevOps_engineer #k8S #kubernetes #cloud #AWS #AZURE #Cloud_Prividers #GCP #CICD #PIPELINE #GIT #GITLAB #PODS #KUBE #AUTOMATION #ANSIBLE #CHEFF #NEXUS #DOCKER #MONITORING #Prometheus #Grafana #Monitoring_Tools #kubespray