AAKASH Tandla

• Like EC2, VPC, S3, ELB, Elastic IP, IAM, Auto-Scaling, CloudFront, SNS, and CloudWatch through AWS Console
• EC2 instances creation and management for the deployment of Linux servers using Terraform
• Knowledge of AWS IAM service for authentication, authorization, policy (access level), and Roles
• Storage services like S3 bucket (Backups, website content for static applications) and policy management (Bucket policy, ACLs, etc.…), EFS, and EBS (snapshots and Images)
• Managing application High Availability using Elastic Load Balancer (APLB, NLB) and Auto-scaling group
• Deploy and monitor scalable infrastructure on Amazon Web Services(AWS) & amp, configuration management using puppet
• Installtion, Confguration Troubleshooting and Manintaince of WebLogic 10.2/11g, Jboss EWS/EAP and Tomcat Apache 7 and Web Servers
• Monitoring AWS resources using CloudWatch to configure Metrics, Alerts, Logs, Insights, etc.,
• Worked with Terraform scripts for instance provisioning, configuration management
• Used Bash included Boto3 to supplement automation provided by Ansible and Terraform for tasks such as encrypting EBS volumes backing AMIs and scheduling Lambda functions for routine AWS tasks
• Experience in Converting existing AWS Infrastructure to Server less architecture (AWS Lambda, Kinesis), deploying via Terraform and AWS Cloud Formation templates
• Worked with Terraform Templates to automate the Azure IAAS virtual machines using terraform modules and deployed virtual machine scale sets in production environment
• Written Templates for Azure Infrastructure as code using Terraform to build staging and production environments
• Integrated Azure Log Analytics with Azure VMs for monitoring the log files, store them and track metrics and used Terraform as a tool, Managed different infrastructure resources Cloud, VMware, and Docker containers
• Network management and creation using Terraform for VPC like IGW, CIDR,
• Subnet, Route table, NAT gateway, Peering, Transit Gateway, VPN (site-to-site)
• Good understanding of Terraform, variables, and handling Terraform state files in the S3 bucket
• Worked with Terraform key features such as Infrastructure as code, Execution plans, Resource Graphs, and Change Automation
• Configure and maintain Version control tools like GIT, CodeCommit,GitHUB
• Well-versed in configuring build tools like Maven
• Proficient in automating the Build and Release cycle using Jenkins, AWS Code Pipeline
• Created the complete CI/CD pipeline through Jenkins, AWS Code Pipeline
• Deploying Microservices using Docker and created Docker file and containers
• Experienced with OpenShift platform in managing Docker containers and Kubernetes Clusters
• Implementation of Docker and various Docker orchestration tools such as docker-compose, docker swarm and various other management tools
• Implemented Docker and various Docker orchestration tools such as docker-compose, docker swarm and various other management tools
• Worked on the docker network for setting up the private network and linking it to the container when it is spun up
• Mirrored the Docker images required for Spinnaker from the external registry to the private Docker Registry
• Worked on the docker network for setting up the private network and linking it to the container when it is spun up
• Mirrored the Docker images required for Spinnaker from the external registry to the private Docker Registry
• Experienced with Code Quality tools like Sonar, Junit, Jacoco
• Develop CI/CD system with Jenkins on Kubernetes container environment, utilizing Kubernetes and Docker for the runtime environment for the CI/CD system to build and test and deploy
• Worked with Kubernetes to automate deployment, scaling, and management of web Containerized applications
• Kubernetes dashboard to access the cluster via its web-based user interface and implemented microservices on Kubernetes Cluster
• Configured Kubernetes Replication controllers to allow multiple pods such as Jenkins Master server in multiple minions
• Worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes
• Deploying windows Kubernetes (K8s) cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test and Octopus Deploy
• Worked with Scheduling, deploying, managing container replicas onto a node using Kubernetes
• Migrated Kubernetes deployments manifests to Helm format to speed up deployment process
• Developed Ansible playbook in a variety of areas including Docker base deployment, Docker Swarm configuration, oracle deployment, Linux system provisioning, Jenkins management (deploy seed job from ansible), Vsphere (VMware guest) management, module development
• Manage Ansible Playbooksand deploy Framework with other cloud tools
• Hands-on experience writing automated Ansible scripts to restart services in all production servers
• Installing and configuring Jenkins master and slave nodes
• Built CI/CD pipeline and managed the infrastructure as code using Ansible.Worked on branching, tagging, and maintaining the version control and Buildingpipeline with TFS and GITHUB
• Automated the continuous integration and deployments of CI/CD using Jenkins, Docker, Ansible, and AWS Cloud Templates
• Responsible for design and maintenance of the GIT/CVS/Subversion repositories and the access control strategies
• Migrated Kubernetes deployments manifests to Helm format to speed up deployment process
• Worked with Ansible playbooks for software deployment on cloud
• Experience in deploying artifacts like JAR & WAR into application & web servers and managing versions in S3 bucket
• Ability to learn and master new technologies and deliver outputs within short deadlines.

• Created user roles for dev, QA and Operations teams for viewing and working with the API Manager & API Connect portals
• Registered Applications and Subscribed API plans, Generated Client IDs & Secret Key's
• Using Postman to test backend API calls
• Created Snapshots and Amazon Machine Images (AMI's) of EC2 Instance for snapshots and creating clones instances
• Written Python script for AWS AMI backups in east and west region
• This script will create AMI with current date and time
• It will delete old version and will keep latest AMI versions in both regions
• Utilized AWS Cloud watch to monitor environment for operational & performance metrics during load testing
• Creation of Cloud formation templates for different environments(DEV/stage/prod) to automate Infrastructure(ELB, Cloud watch alarms, ASGs, SNS topics, RDS etc.,) on click of a button
• Written various Python workers and integrated with AWS Lambda to automate the AWS infrastructure including scheduled automatic backups, Stopping and starting the instances as part of cost-saving
• Installed, configured and managed the ELK (Elastic Search, Log stash and Kibana) for Log management within EC2 / Elastic Load balancer for Elastic Search
• Setup Log Analysis AWS Logs to Elastic Search and Kibana and Manage Searches, Dashboards, custom mapping and Automation of data
• Designing and configuring the AWS Simple Notification Service (SNS) and Secure Email Service (SES) architecture of the solution and working with a client
• Used MySQL, Dynamo DB and Elastic cache to perform basic database administration
• Have built Elastic search, Log stash for centralized logging and then store logs and metrics into S3 bucket using Lambda function
• Installed and configured configuration tool such as Chef Server / workstation and nodes via CLI tools to AWS nodes
• Automated the development process for deployment of the Applications, Containers and Provisioning Public Cloud Environments with Terraform, Ansible, Jenkins, Docker and Kubernetes
• Ensured additional permissions are provided to perform actions in a different account using IAM ‘Assume Role’
• Extensively used Terraform for building, changing, and versioning infrastructure safely and efficiently
• Automating the process of a secure VPC creation and deployment of the Stand-up secure Jenkins Server, ELK stack9, etc
• By writing the corresponding Terraform / Ansible code
• Leveraged AWS cloud services such as EC2, auto-scaling and VPC to build secure, highly scalable and flexible systems that handled expected and unexpected load bursts
• ENVIRONMENT: Jenkins, GIT, ANT, MAVEN,AWS,JAVA/J2EE, Web Sphere, Nagios, Unix/Linux, Windows, Ruby, Shell, Apache Tomcat, XML, Java/J2EE
• Project

• This project is all about supporting statistical Application teams on assigned study level activities inplanning, implementing, designing, architecture and support of cloud-based server and service solutions for the reportingand analysis of product release data in accordance with applicable business process
• Responsibilities and Achievements:
• Responsible for the overall functionality of the middleware platform based on OpenShift, including maintainingand supporting existing platform and managing and implementing the new features and functionalities
• Liaising with development and field teams to develop technical solutions and identify bugs for future releases ofapplications
• Involved in designing and deploying a multitude of applications utilizing almost all the AWS stack includingEC2, Route53, S3, RDS, Dynamo DB, SNS, SQS, LAMBDA, REDSHIFT, focusing on high-availability, faulttolerance and auto-scaling in AWS cloud formation
• Supported AWS Cloud environment with 200+ AWS instances and configured Elastic IP & Elastic Storage and experience working on implemented security groups and Network ACLs
• Configured AWS Identity and Access Management (IAM) users and groups for improved login authentication
• Created a Python Script to stop all the instances with a specific tag in AWS Instance using Lambda functions andmade it into Cloud Watch Scheduler to schedule it every night
• Responsible for the overall functionality of the middleware platform based on OpenShift, including maintaining and supporting existing platform and managing and implementing the new features and functionalities
• Liaising with development and field teams to develop technical solutions and identify bugs for future releases of applications
• Installation and implementation of AppDynamics on all Prod and Non-Prod environment for monitoring of all java and .net applications
• Configured RDS instances using Cloud formations and Terraform
• Implemented AWS Code Pipeline and Created Cloud formation JSON templates in Terraform for infrastructure as code
• Automate provisioning and repetitive tasks using Terraform and Python , Docker container, Service Orchestration
• As part of AppDynamics production support team Worked as a liaison between development teams, DBA, Middleware, Performance, Integration teams
• Jenkins for enterprise scale infrastructure configuration and application deployments – checking out the code from GIT and use ant/maven to build Jar, war and ear artifacts
• Led Jenkins continuous integration server installation and configuration for all GIT Repositories
• Connected continuous integration system with GIT version control repository and continually build as the check-in's come from the developer
• Configured and maintained Jenkins to implement the CI process and integrated the tool with GIT to schedule the builds
• Working on day to day support, Release management activities from build to deployment of artifacts, dealing
• With incident management and change managements through service now to make sure the functionality of the tested programs works efficiently
• Day to day engagement of management /monitoring/troubleshooting of multi-tier applications using Ansible and Nagios in Dev, QA, Prod environments
• Assessing, trouble-shoot and resolve a wide variety of issues on the container platform
• Adhering to documented best practices, polices and guidelines.

As a DevOps Engineer, you will be responsible for ensuring the smooth and efficient operation of the software development and deployment processes. Your primary focus will be on automating workflows, implementing continuous integration/continuous deployment (CI/CD) pipelines, managing infrastructure, and promoting collaboration between development and operations teams. You will work closely with cross-functional teams to optimize the software development lifecycle and ensure the reliability, scalability, and security of production systems.