Vijai Electricals Interview Questions and Answers

AWS services commonly used in DevOps include EC2, S3, RDS, Lambda, and CloudFormation.

• EC2 (Elastic Compute Cloud) for scalable virtual servers

• S3 (Simple Storage Service) for object storage

• RDS (Relational Database Service) for managed databases

• Lambda for serverless computing

• CloudFormation for infrastructure as code

Use Kubernetes Ingress controllers and Horizontal Pod Autoscalers to efficiently handle traffic within a k8s cluster.

• Utilize Kubernetes Ingress controllers to manage inbound traffic and route it to the appropriate services within the cluster.

• Implement Horizontal Pod Autoscalers to automatically adjust the number of pods based on traffic load, ensuring cost effectiveness by scaling up or down as needed.

• Consider using a service mesh like Istio to efficiently manage traffic rout...read more

I am familiar with tools like Jenkins, Docker, Kubernetes, Git, and Ansible in DevOps.

• Jenkins

• Docker

• Kubernetes

• Git

• Ansible

Load balancers distribute incoming network traffic across multiple servers to ensure optimal resource utilization, while auto scaling automatically adjusts the number of servers based on traffic demand.

• Load balancers help prevent overload on any single server by distributing traffic evenly.

• Auto scaling allows for dynamic allocation of resources based on traffic patterns, ensuring efficient use of resources.

• Load balancers can also help with high availability by redirecting tra...read more

Traffic in AWS EC2 can be managed using various methods such as load balancers, auto scaling, and security groups.

• Use Elastic Load Balancing to distribute incoming traffic across multiple instances for better fault tolerance and availability.

• Implement Auto Scaling to automatically adjust the number of EC2 instances based on traffic demand to ensure optimal performance and cost efficiency.

• Utilize security groups to control inbound and outbound traffic to EC2 instances by defin...read more

Optimizing docker images involves reducing image size, using multi-stage builds, and minimizing layers.

• Use multi-stage builds to reduce the number of layers in the final image

• Remove unnecessary files and dependencies to reduce image size

• Use a smaller base image like Alpine instead of a full Linux distribution

• Combine multiple RUN commands into a single command to reduce the number of layers

• Use .dockerignore file to exclude unnecessary files and directories from the build conte...read more