sathish

<p>Managed containerized applications using Kubernetes, including pod scheduling, scaling, and health monitoring.<br>
Developed automated CI/CD pipelines for both web applications and backend services.<br>
Implemented security best practices for Kubernetes clusters for RBAC (Role-Based Access Control), resource allocation, pod design, deployment strategies, Config-Maps and Secrets.<br>
Ensured availability of production and development systems based on AWS cloud and EKS.<br>
Deployed and managed Kubernetes clusters in different environments (development, testing, production) based on infrastructure as code (IaC) principles.<br>
Customized Helm chart templates, values, and configurations for different deployment environments and configurations.<br>
Integrated Helm with CI/CD pipelines (e.g., Jenkins, GitHub Actions) to automate the deployment and upgrade of Kubernetes applications.<br>
Managed secrets, encryption, and access controls for GitHub Actions CI-CD workflows and integrations.<br>
Designed and implemented automated workflows using GitHub Actions for continuous integration (CI) and continuous deployment (CD) pipelines.<br>
Collaborated with development teams to define and implement best practices for using GitHub Actions.<br>
Integrated Terraform with cloud-native services, APIs, and provider-specific features to orchestrate complex cloud architectures.<br>
Wrote and maintained Terraform code for non-team specific infrastructure (VPC, route tables, security groups, IAM, etc.).<br>
Employed Terraform to define and provision infrastructure as code, enabling reproducibility and version control of infrastructure.<br>
Managed Datadog monitoring agents to collect metrics and logs from applications, servers, and cloud resources.<br>
Resolved issues raised by users and developers from JIRA.<br>
Worked on Private-SAAS implementation for an internal application on top of the IIS server.</p>

<p>Utilized Kubernetes for orchestration and Docker for containerization to streamline deployment processes and improve scalability.<br>
Applied security best practices in Kubernetes environments, including network policies, RBAC, and secrets management, high availability, and fault tolerance.<br>
Designed and developed Helm charts to package, configure, and deploy Kubernetes applications.<br>
Wrote YAML scripts to define workflow steps, triggers, and conditions for building, testing, and deploying software applications by using Helm Chart.<br>
Designed, implemented, and managed CI/CD pipelines using Jenkins and GitHub Action to ensure efficient and reliable software delivery.<br>
Integrated GitHub Actions with various development tools and services, including cloud platforms (AWS, Azure), container registries (Docker Hub), and monitoring tools.<br>
Developed and maintained Terraform modules that comply with internal standards for resource security.<br>
Managed Terraform state files, ensuring secure and consistent state management using remote backends like AWS S3 and Azure Blob Storage.<br>
Set up webhooks, triggers, and notifications in Jenkins to initiate CI/CD workflows based on code commits, pull requests, and branch merges.<br>
Worked on taking backup in Jenkins job and pushing the backup into S3 bucket, Master Slave Architecture, Scheduling, trigger jobs, and job migration from one server to another in Jenkins.<br>
Automated repetitive tasks using Groovy, Shell, or declarative pipeline scripts within Jenkins jobs.<br>
Implemented branching strategies (e.g., feature branches, release branches, hotfix branches) to facilitate parallel development and code isolation.<br>
Managed and maintained version control systems using Git for source code, documentation, and configuration files.<br>
Created and managed AMI/Snapshots/Volumes, upgrade/downgrade AWS resources (CPU, Memory, EBS).<br>
Managed and configured AWS services as per the business needs (ELB, Route 53, S3, Cloud Watch, IAM, VPC, Subnets, Route tables, NAT gateways, and VPN connections).<br>
Configured serverless architecture solutions utilizing AWS Lambda functions and API Gateway.</p>

<p>Provided insights and recommendations based on data trends and patterns.<br>
Gathered and processed data to identify customer mindset.<br>
Provided insights and recommendations based on data trends and patterns.<br>
Predicted customer behavior and identified trends.<br>
Stayed updated on the latest marketing technologies and trends.</p>