Vishal Deshmukh

About Vishal Deshmukh

Hi I am Vishal Deshmukh, Persistent and detail-oriented Cloud infrastructure & DevOps…

Experience

1. Senior System (Devops) Engineer

   Infosys

   Dec 2021 — Present · Pune, IN

   Experience in AWS to create, manage and configure the services like ALB, ASG, EC2, IAM, S3, Redis, EBS, Route53, RDS, Cloud front, Security Groups and VPC along with automating the AWS cloud deployments•Led the migration project from on-premises servers to the AWS cloud, successfully establishing a fully private network environment for enhanced security and scalability.•Played a pivotal role in resolving production outages by actively engaging in incident responses, conducting thorough Root Cause Analyses (RCAs), and implementing robust fixes to prevent recurrence, thereby ensuring continuous system stability and reliability.•Managed a production Kubernetes cluster on AWS EKS for a microservices-based application, ensuring high availability and scalability. Implemented autoscaling to automatically adjust resources based on application traffic.•Designed and deployed highly available and fault-tolerant architectures on EKS, utilizing services like EC2, Application Load Balancing, VPN, and Cloud SQL for seamless operation and disaster recovery.•Worked on AWS cost optimization project to lower the cost by 15% using different techniques like instance resizing, instance scheduling and AWS Lambda for EBS stale snapshot.•Automated infrastructure provisioning for a new development environment using Terraform scripts (AWS), reducing deployment time by 50%.•Experience in deploy artifacts to Nexus repository manager and building the code by build tool like Maven.•Implemented a comprehensive monitoring system using Prometheus to gather system health metrics, and built interactive dashboards in Grafana to enable real-time analysis and proactive troubleshooting, resulting in a 20% reduction in mean time to repair (MTTR).•Implemented a canary deployment to mitigate risks during a critical application update•Reduced deployment time by 30% using Kubernetes\' rolling update deployment.