AWS DevOps Engineer Scenario Based Interview - Real World AWS, Docker, Kubernetes, CICD Pipelines

💜 Booking Link for Mentorship Program https://topmate.io/cloud/606995 💙 Join Our WhatsApp Group: https://chat.whatsapp.com/LsFkkWKDUSoL0JKFowR1bq 💚 Join Our Telegram Group: https://t.me/+xjZA3ZS-OQkxZTk1 💜 Follow our community page on LinkedIn: https://www.linkedin.com/company/devops-and-cloud-labs 💙 Project # 1 Recordings: https://topmate.io/cloud/395820 💙 Project # 2 Recordings: https://topmate.io/cloud/453994 💙 Project # 3 Recordings: https://topmate.io/cloud/649977 💙 DevOps Cloud Bootcamp (Recorded): https://topmate.io/cloud/555006 💚 Subscribe to the Channel: http://www.youtube.com/channel/UCYDlBuxE7BEtYR5r4q3WRrQ?sub_confirmation=1 Summary: → Nayazula Shaik has 2.8 years of experience as a DevOps engineer at Exit Technologies, focusing on AWS and open-source DevOps tools. → Worked on CI/CD pipelines using Jenkins, integrating Maven, Nexus, SonarQube, Docker, and Kubernetes for Java-based projects. → Containerized applications using Docker and managed deployments via Kubernetes (EKS), troubleshooting issues like CrashLoopBackOff and image pull errors. → Achieved 50% reduction in deployment times using Docker, Kubernetes, and Ansible, implementing strategies like rolling updates and canary deployments. → Configured Prometheus and Grafana via Helm for monitoring, visualizing logs and metrics. → Implemented security measures in CI/CD pipelines: SonarQube for code analysis, Trivy for Docker image scanning, and non-root container execution. → Used AWS services (EC2, VPC, S3, IAM) and followed security best practices (least privilege, encryption, network policies). → Handled a production outage by rolling back to a stable version and fixing database misconfigurations. → Differentiated monolithic vs. microservices architectures, stateful vs. stateless applications, and deployment strategies (blue-green, canary). → Addressed cloud security via IAM roles/groups, secrets management (AWS Secrets Manager, Kubernetes Secrets), and S3 lifecycle policies for cost optimization. → Proposed a solution for automated image-to-video processing using S3, Lambda, and event triggers. → Identified gaps in knowledge (immutable infrastructure, GitOps, Chaos Engineering, RTO/RPO, DDoS) but demonstrated problem-solving in troubleshooting and design. About The Channel : DevOps and Cloud Labs empowers you to thrive in the dynamic world of DevOps and Cloud Computing. We offer comprehensive learning resources covering AWS, Azure, and essential DevOps tools like Ansible, Packer, SonarQube, Trivy, Jenkins, Datadog, GitHub, GitHub Actions, GitOps, Argo CD, JFrog Artifactory, Terraform, Kubernetes, and Docker. Our content includes tutorials, engaging shorts, realistic mock interviews (covering devops interview questions, devops engineer interview, aws devops interview questions, devops mock interview, cloud engineer interview questions, devops fresher interview questions, and senior devops engineer interview questions), insightful podcasts, downloadable PDFs, and helpful books. We focus on practical application through complex, industry-grade projects, encompassing 3-tier architectures, database management (RDS, DynamoDB), data warehousing, secrets management, Azure DevOps, CI/CD pipelines, and various deployment strategies. Whether you're a fresher starting your journey (devops interview for freshers, devops mock interview for freshers) or an experienced professional looking to enhance your expertise (devops interview questions for experienced), DevOps and Cloud Labs is your trusted partner. Prepare for devops interviews with our resources, including devops interview recordings, and gain insights into the future of devops (devops future scope). Explore DevOps Cloud, AWS Projects, DevOps projects for practice, AWS, Azure, Terraform, Infrastructure, Kubernetes (K8s), Docker, and IaC (Infra as Code) with us. Subscribe now and unlock the power of DevOps and Cloud!