Swapnil Rahalkar Email and Phone Number

● Developed automations in python by using Kubernetes, Pandas, CSV, OS modules, Splunk queries to do tasks such as kubernetes deployment, various report generation of monitoring application timeouts, application traffic. ● Designed slack application / workflow for supporting and streamlining queries from application team regarding application deployment and performance issues.● Addressed application team’s deployment and runtime issues like Issue in Docker image build, Package dependency, Resource crunch, Model timeouts, Pod Readiness/Liveness failures etc.● Onboard and setting up CI CD pipeline for GenAI, Machine Learning models.● Set up continuous delivery solution using ArgoCD, Helm Charts and GitOps for deploying application in Kubernetes cluster in no time. This helped in reducing DevOps Team involvement in deployment of application.● Configured Prometheus alerts with the use of PromQL queries to monitor parameters like CPU-Memory utilizations, pod restarts etc. Triggered these alerts to platforms like Slack channel, PagerDuty etc to get the faster resolution.● Set up the Blackbox exporter for continuous probing to the critical components in DevOps Infrastructure and send alerts to platforms like Slack, PagerDuty in case of failures. This helped to make the system infrastructure more reliable.● Automation of creating Incident tickets on client internal ticket tools by creating alerts using Splunk, Prometheus.● Designed Splunk / Grafana Dashboards for parameters like CPU / GPU Utilization, CPU Throttling, Memory utilization, Request per second etc.● In terms of application performance optimization took up task of load testing on application to optimize resources provisioned to the application with the tools like Gatling, Hye etc.● Hands on experience with NoSQL DB like MongoDB, Cassandra for storing metadata of deployed applications.● Provided L1/L2 support on weekend and weekdays in 24/7 production support ecosystem.

• Onboarded Java based microservices on Kubernetes clusters with k8s resources like configmaps, secretes, deployment, HPA, PDB, ingress etc.• As part of release management team involved in activities like release planning, release timeline, gathering software deliverables, co-ordinations with business and tech team, risk management analysis, tracking progress, readiness for timely release.• Implemented CI / CD implementation using tools like Gitlab, Jenkins, SonarQube, Nexus, Docker etc.• Migration of ingress controller from traefik to nginx.• Implemented pod anti-affinity rules in k8s deployment resource for keeping pod on every worker node.• Setup the rolling update deployment strategy to keep downtime of running application to zero.• Added resource like Pod Disruption Budget to keep the application replicas at their least requirement in any disruption or upgradation scenarios.• Hands on experience of Kubernetes cluster upgrades using tool kubeadm.• etcd server backup and restoration activities.• Hands on experience with AWS services like IAM, EC2, SQS, S3 for provisioning it for application development using IaC tools like Terraform.

• Responsible for CI/CD Implementation with Azure Cloud, Jenkins, Maven, SVN.• Implemented Jobs, Multibranch pipelines with tool Jenkins.• Setup of Jenkins instance’s backup and restore with the help of plugins such as thinBackup.• Implemented Continuous Deployment approach by public – private key exchange between application VMs and Jenkins VMs• Implemented Master-Slave model to reduce the load on Jenkins instance.• Setting up of code quality tool SonarQube with multiple code quality profiles and Artifactory tool Nexus to store every pipeline’s build artifact.• Experience in administrating Azure Cloud services like Azure Virtual Machines, Azure Storage, CDN.

• Responsible for deployment and system administration activities on Linux, Windows platform.• Installation and setting up of web servers Apache, JBoss, Wildfly, SCM tool Subversion, DB servers MySQL etc.• Resolving vulnerabilities and OS update activities of Linux( RHEL7, RHEL 8) servers and windows servers.• Automation in Shell scripting to carry out tasks such as backups, restoration, server restart, application deployment etc.