Sekhar Yatam

● Having 5+ years of Experience in Implementing Organization DevOps strategy in various environments of Linux and Windows servers along with adopting cloud strategies based on Amazon Web Services.

● Extensive experience in architecting and deploying fault tolerant, highly available, cost effective and secure servers in Amazon Web Services (AWS).

● Expertise on AWS cloud, extensive usage of Virtual Private Cloud (VPC), CloudFront, Cloud Formation, Elastic Cloud Computing (EC2), Relational Database System (RDS), Simple Storage Service (S3), Elastic Block Storage (EBS), Elastic Load Balancer(ELB), Elastic File Systems(EFS), Elastic Beanstalk, Cloudformation, Elastic Container Service, Code Pipeline, Code Build, Code Deploy, SNS, IAM, Auto Scaling Groups, Route53 and Cloud Trail.

● Expertise in writing Cloudformation & Terraform templates to automate Infrastructure as a code.

● Good Experience in Server Configurations and Installations and Modifications.

● Automated the creation of Amazon Machine Images (AMIs ) using shell scripts.

● Hands on Experience on Container Orchestration Service like ECS.

● Hands on experience on implementing Service Discovery using scalable DNS service like Route53.

● Creating S3 buckets and also managing policies for S3 buckets and Utilized S3 bucket and Glacier for storage and backup on AWS.

● Created alarms and notifications for EC2 instances using Grafana.

● Experience on Automating the Build and Deploy NodeJS applications to different environments by using Cloudformation and Jenkins.

● Deployed builds to different environments like DEV, QA, UAT environments by integrating Jenkins and Ansible.

● Hands on experience on installation of Static Code Analysis tool SonarQube and Integrated in Jenkins Pipeline.

● Responsible for creating and developing the Jenkins Scripted Pipelines for Container based applications using Groovy Script.

● Experience in setting up and managing the monitor tools like Grafana, Prometheus, cAdvisor to monitor the Instances and Docker Containers.

● Installed and Configured the monitor tools like ELK to monitor the Application Performance, Infrastructure.

● Hands-on experience on developing the Python lambda functions using Serverless Framework and SAM.

● Experience in creating Docker containers leveraging existing Linux Containers and AMI's in addition to creating Docker containers from scratch.

● Extensive experience in implementing DevOps tools and pipelines using Jenkins, GIT, SonarQube, Cloudformation, Docker etc. for continuous integration and delivery.

● Experience with container based deployments using Docker, working with Docker images, Docker Hub, Docker file, Docker Compose and Docker registries.

● Experience in branching, tagging and maintaining the version across the environments using SCM tools like Subversion (SVN) and GIT on the LINUX environment.

● Experience in scripting languages like Python, Shell & Groovy.

● Hands on experience on switching the traffic from old features to new using Blue/Green Deployment technique.

● Implemented Blue Green Deployment for Production Applications using CodeDeploy.

● Good experience in securing the web API’s using Dynamic generated time based user-delegated tokens with the help of AWS Cognito.

● Experience in Containerization tools like Docker.

● Installed and set up the Container Orchestration tool like Elastic Container Service for Docker based applications.

● Written shell script to get the notification through mail whenever the docker container stops.

● Installed and set up Grafana, cAdvisor monitoring tools to monitor the Servers and docker containers.

● Experience on Installation of ElasticSearch and Logstash.

● Hands on experience in creating firewalls,changing rules, DNS, TCP/IP, SSL, Routing.

● Good experience on YAML & JSON.

● Involved in Installing Jenkins on a Linux machine and created a master and slave configuration to implement multiple parallel builds through a build farm.

● Worked on web servers like Apache to deploy code.

● Has good knowledge on kubernetes.

• Created the automated build and deployment process for application, re-engineering setup for better user experience and leading up to building a continuous integration system for all our products
• Migrating a production infrastructure into an Amazon Web Services (AWS) utilizing AWS Cloud formation, Code Deploy, Ansible and EBS
• Creating S3 buckets and managing policies for S3 buckets and Utilized S3 buckets and Glacier for storage and backup on AWS
• Integration of web portal and users associated with S3 bucket
• Implementation of NAT gateways for web apps hosted in private subnets
• Setting up monitoring tools like Nagios and Amazon Cloud watch to monitor major metrics like Network packets, CPU utilization, Load Balancer Latency
• Installing, configuring and administering Jenkins CI tool on AWS EC2 instances
• Configured various jobs in Jenkins for deployment of Java based applications and running test suites
• Creating and managing a Deploy environment by using the Deploy plug-in
• Using for application release
• Using it to manage multi app continuous delivery
• Using downstream parameterized trigger plugin for integrating Git, Maven and Apache Tomcat server for achieving continuous integration using Jenkins
• Assist with maintaining current build systems, developed build scripts, and maintained the source control system
• Documentation of detailed build configuration, Build procedures, schedule build calendars and change history for releases
• Responsible for maintenance of the GIT Repositories which includes Jenkins Integration, creating pull requests, code reviews, branching, merging and transitioning JIRA issues
• Developed build and deployment scripts using MAVEN as build tool in Jenkins to move from one environment to other environments
• Worked on Tomcat Web server for hosting web apps
• Created and managed EC2 instances utilizing various AWS services like auto-scaling groups, Elastic Load Balancing (ELB), S3 and Glacier for our QA and UAT environments and infrastructure servers for Ansible
• Experience in working with Elastic Block Storage (EBS), creating Volumes and attached to the EC2 instances and creating snapshots from that so that we can create a new server with the same configurations
• Responsible for using AWS Console and AWS CLI for deploying and operating AWS services specifically VPC, EC2, S3, EBS, IAM, ELB, Cloud Formation and Cloud Watch
• Used S3 for highly durable and available data, versioning and lifecycle policies
• Defined AWS Security Groups which acted as virtual firewalls that controlled the traffic allowed to reach one or more AWS EC2 instances
• Used IAM (Identity Access and Management) to create new users and assigned groups and roles for that user
• Created a virtual data center in the Amazon Web Services cloud to support Enterprise Data Warehouse including Virtual Private Cloud (VPC), Public and Private Subnets, Security Groups, Route Tables, Elastic Load Balancer
• Good knowledge of AWS services like S3, Glacier, ELB (Load Balancers), RDS, SNS, WAF, and IAM and hands on experience on Amazon Web Services (AWS) provision
• Built AWS Cloud Formation templates to create custom sized VPC, subnets, NAT to ensure successful deployment of Web applications and database templates
• Used Git, Maven, Jenkins and Ansible as tools for day to day build & release cycles
• Used Docker as a new level of simplicity to defining and creating applications by encapsulating them in containers
• Created virtual images like a production environment using Docker by writing Docker compose files
• Created Docker images using a Docker file, worked on Docker container snapshots and managed Docker volumes
• Expertise in setting up Docker Host, Docker Registry, RHEL/ Centos Atomic Host, Docker images (Centos, RHEL and Ubuntu instances)
• Worked on creation of Docker containers and Docker consoles for managing the application life cycle
• Created and maintained the Python deployment scripts for Web Sphere web application server
• Installed, Configured, Managed Monitoring Tools such as Splunk, Nagios for Resource Monitoring/Network Monitoring/Log Trace Monitoring
• Knowledge on Server monitoring, capacity planning, application monitoring with the help of Nagios
• Knowledge on monitoring and logging tools
• Configured Nagios to monitor EC2 Linux instances with Puppet automation
• Build the maven artifacts using Jenkins and Deploying into Amazon Cloud Environment by adding Monitoring Metrics to CloudWatch and the respective Alarms.
• Defined dependencies and plug-ins in Maven pom.xml for various activities and integrated Maven with GIT to manage and deploy project related tags Used GIT source control systems to manage code
• Have experience on version controls tools and repositories like GIT, SVN, Bit bucket, S3
• Involved in setting up JIRA as a defect tracking system and configured various workflows, customizations and plug-ins for the JIRA bug/issue tracker.