Shampa Ghosh

• working with RCP and backstage to onboard applications using different plugins and implementing CICD pipeline and devops methodology
• working and debugging kubefed clusters and accessing clusters using teleport and saml2aws for diff platforms such as EKS, ECS and KMC
• Debugging issues with pipeline tools including Jenkins, spinakker, github actions and artylab
• working with pave road helm charts and using the same in crossplane
• debugging deployments , helm charts, pods, containers, yaml files pipeline.json, values.yaml & chart.yaml
• workload to workload troubleshooting
• clusters creation and deletion request handling
• working with various aws tools such as cloudtrail, cloudwatch logs ECS EKS and s3
• retrieveing heap dumps and working with ephemeral containers, pods, docker containers to troubleshoot errors
• Measure Service Latency and Network Latency, decoding istio logs using splunk indexes
• troubleshooting connectivity issues using cnrq connectivity tester and requesting firewall access
• Using observablity tool Datadog to watcg Pod/Container Metrics node, application, container, network, timeouts errors
• root cause analysis of client timeout issues
• application pod troubleshooting

• Developed and maintained infrastructure automation using Terraform for AWS cloud environments
• Designed and implemented Terraform modules to provision and manage AWS resources, Troubleshot and resolved issues related to Terraform deployments, infrastructure configuration, and connectivity in AWS environments
• Deployed Docker containers for application development, testing, and production environments
• Configured port mappings to enable containerized applications to communicate with other containers and external systems
• Created Docker images using Dockerfiles, optimizing resource usage and minimizing image size
• Proficient in managing Docker containers and Kubernetes clusters using tools like Minikube Kubernetes deployment manifests and YAML
• specifications for defining Kubernetes resources, such as deployments, services, and pods.
• Kubernetes cluster management, including scaling applications, rolling updates, and managing secrets and configurations
• Kubectl for interacting with Kubernetes clusters, inspecting cluster state, and managing resources Utilizing Jenkins for continuous integration and continuous delivery (CI/CD) pipelines integrating with git, docker , Kubernetes
• Utilized Git for version control, repo storage and collaboration in software development projects.
• Managed repositories, branches, and merges using Git workflows
• Working with AWS services such as EC2, VPC ,VPC PEERING, NAT GATEWAYS , VPC ENDPOINTS,EBS, S3, EFS,AUTOSCALING,ELB,IAM,ROUTE 53, CLOUDFRONT, SQS RDS, EVENT BRIDGE, Security groups, .

• Accessing multiple accounts and creating security tokens
• Operating on security
• Creating SQS service and integrating with other services
• Working with management tools like cloudwatch , autoscaling, cloudformation, cloudtrail , Route53 ,EFS,ELB AND RDS
• Working in Service Catalouge to build infrastructure as per requirements Working in Systems Manager for patching of both windows and Linux servers Setting up an Auto-Scaled load balanced EC2 application,Defining policies for Auto-Scaling groups,Boot strapping,
• Creating launch configurations Configuring and Creating databases and connecting to them (RDS)

• Cloud-based environments, Provisioning application resource with Cloud Formation, Deploying templates , creation and deletion of stacks
• Creating Cloud Front distributions, Hosting Websites with Cloud Front Distributions,Implementing restrictions,Configuring origins and behaviours Configuring VPC Security, Elastic IP's, inbound and outbound ACLs
• Creating Dynamo DB, Configuring alarms,adding data manually
• Storage, and configure encryption settings
• Setup/Managing Linux Servers on Amazon ( EC2, EBS, ELB, SSL, Security Groups, RDS and IAM Setup/Managing Databases on Amazon RDS Monitoring servers through Amazon CloudWatch Installed and Setup New Relic Server monitoring tools for various linux and windows server Investigation and Recover of Production Server Issues AMI/Snapshots/Volumes, Upgrade/downgrade
• Monitoring servers through Amazon CloudWatch

AMI/Snapshots/Volumes, Upgrade/downgrade AWS resources (CPU, Memory, EBS)

• Working with Ticketing Tools ( ServiceNow) Scheduling downtimes of the servers for patching, memory upgrades and various admin activities in coordination with Appropriate teams
• Working in SSM for patching and automation purpose Troubleshooting EC2 instances, troubleshooting using cloudwatch,ELB,Cloudtrail.