Sudarshan R.

Sudarshan R.

Problem solving in Amazon cloud services and good knowledge in AWS database services

Hyderabad , India

Experience: 12 Years

Sudarshan

Hyderabad , India

Problem solving in Amazon cloud services and good knowledge in AWS database services

12286.3 USD / Year

  • Notice Period: Days

12 Years

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About Me

  • 5+ years of experience as specialized AWS cloud Engineering, DevOps tools and Networking.         

· Expertise in Amazon Cloud Services and its features (EC2, VPC, EBS, AMI, snapshots, Auto scaling, Clou...

· Experienced in setting up EC2 instances, security groups and Setting up applications and databases in AWS.

· Experience in delivering solutions to improve cloud architecture, deployment for AWS private and public cloud.

· Experience in Build tools and CICD tools like Hudson, ALM and Jenkins, Code pipeline, code build and Bitrise.

·  Experience in working with configuration management tools like Ansible.

· Experience with different operating systems like Unix, Linux, Ubuntu and Windows.

· Created and managed security groups for inbound and outbound traffic for instances in both public and private subnets.

· Created S3 buckets and implemented the policies for Pre-prod and Prod environments.

· Configured IAM Roles and security groups.

· Good experience on IAM.

· Good experience into IT operational and maintenance.

· Implemented monitoring process of cloud environment and notification system using cloud watch and SNS.

· Experience in creating AMIs.

· Experience in implementing the Caching mechanism using Redis Cache.

· Experience in versioning systems like Bitbucket and Git repository.

· Good knowledge in AWS Database services like RDS, Dynamo DB and Database Migration Services.

· Good work experience with Agile model and using agile tools like Scrum and Jira.

· Excellent in communication, analytical, interpersonal and presentation skills.

· Experienced in creating Docker images, build Docker images.

· Experienced in push Docker image to private repositories and pull image to our local environment.

· Experienced in Docker image health checkup and Docker Tag creation.

· Experienced in Orchestration tools like AWS ECS, EKS and Kubernetes

· Worked with SMS (Server Migration Service), DMS and CloudEndure.

· Experienced creating Load balancer with path based routing.

· Worked on Autoscaling configuration with Loadbalancer.

· Experienced on validating the volumes and vertical and horizontal scaling.

· Creating Snapshots and AMI from existing Ec2 and RDS services.

Experienced on creating vpc peering and endpoints

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Portfolio Projects

Description

  • Gathering information from client to build a HA Multi region Active-Active configuration.
  • Create, manage, and delete users and groups as per the request using Amazon Identity and Access Management.
  • Design EC2 instance architecture to meet high availability application architecture and security parameters.
  • Used Configuration Management automation tool Ansible and has worked on integrating Ansible YAML Scripts.
  • Designing and Deploying AWS Solutions using EC2, S3, and EBS, Elastic Load balancer (ELB), auto-scaling groups, Load balancers, VPC, site-to-site vpn connections, vpc peering connections.
  • Automated AWS components like EC2 instances, Security groups, ELB, RDS, and IAM through AWS Cloud formation templates.
  • Maintained the user accounts (IAM), RDS, Route 53, VPC, RDB, Dynamo DB and SNS services in AWS cloud.
  • Working with SMS (Server Migration Service) and Cloud Endure.
  • Created alarms and notifications for EC2 instances using Cloud Watch.
  • Worked on Nagios for monitoring the systems.
  • Worked closely with Software Developers and DevOps to debug software and system problems.
  • Coordinate/assist developers with establishing and applying appropriate branching, labeling/naming conventions.
  • Experience installing, configuring and supporting Amazon AWS.

Experienced in Hudson for creating builds and applying patches

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Description

Duration : Oct2018 to Dec 2019

Client : Disney

  • Working with client and designing architecture for production applications.
  • Creating full infrastructure with vpc, subnets, iam users and roles, s3 storages.
  • Created Automation CI/CD process for mobile applications.
  • Used Bitrise Pipeline process to configure Deployments.
  • Creating a application in Bitrise from the scratch and publishing it to the store.
  • Responsible for creating the workflows for both Android and iOS.
  • Responsible for creating the code signing profiles for both android and iOS.
  • Responsible for creating the certificate and provisioning profile for iOS app deployment.
  • Creating the workflow for Android and iOS and specifying to deploy to AppStore and Play Store.
  • once the build gets successful it can view in the respective track.
  • Responsible for modifying the app.json file by incrementing the build value.
  • Created a copy and modified the Bitrise.yml file so that the process of workflow creation is simplified for the new application creation in Bitrise.
  • Created Triggers, so the build process will be automated whenever there is a code push or code pull.
  • Responsible for creating and adding the testers group, so that whenever there is a new build the testers can download the new version in the mobile for testing.

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Description

Duration : Jan 2016 to Oct 2018

Client : TCS

Role : AWS Architect & Devops engineer

  • Creating full infrastructure with vpc, subnets, iam users and roles, s3 storages.
  • Working on ECS clusters and build applications using Docker images.
  • Must create ECR repository to save the docker images.
  • Configure codebuild to create the images using docker file and push the images to ECR repository.
  • To configure codebuild, prepared buildspec.yml and save it to bitbucket repository.
  • Created RDS database for application.
  • Create internal network load balancer to distribute the traffic between the containers and assigned static ip's.
  • Configure code pipeline to automate the process.
  • Configure the code pipeline, prepared pipeline script and s3 artifacts.

Code pipeline watches the updates in s3 bucket and starts creation of task definition using latest ECR images

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