Oct 2021 – Mar 2024 · 2 yrs 5 mos

• WebOS Signage Media applications were handled by the DevOps/SRE team, the 16 microservices were onboarded into the CICD pipeline with end-to-end integration of all tools where we had various suites like Security, build, docker, ansible and k8 deployment.
• The Jenkins shared library along with the Jenkinsfile design for each microservice was done by both in an individual contribution and as a teamwork.
• Integrated all tools with the Jenkins and designed various automation scripts in shell and python to
• check the various stages conditions in pipeline
• SonarQube QG was checked with shell script for each module and each microservice was on
• boarded to sonar
• Automation of GITLAB/SONAR/JENKINS/JIRA rest apis was done where I have received appreciation
• emails
• Maintained the build servers of Jenkins where we had docker installed which converted the IPK into
• image
• Jfrog rest api automation for cleanup of old binaries was done
• Kubernetes manifest file design as per the development teams was handled where we had various
• kinds of deployments, daemonset, services etc.
• Troubleshooting the pod deployment along with RCA was performed.
• By incorporating OWASP Trivy, Fortify, and Black Duck into the CI/CD pipeline, the security posture has
• been significantly enhanced. OWASP Trivy specifically caters to container image security, while Fortify
• specializes in static application security testing. Additionally, Black Duck effectively tackles open-
• source software security risks by promptly detecting and mitigating potential vulnerabilities during
• the development stage.

Jul 2020 – Oct 2021 · 1 yr 3 mos

• The project had a baseline of applications which were dealing with the Security of Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting.
• The Prometheus was installed on all the two clusters of our AWS EKS with the help of helm charts
• The DB for the Prometheus we used was influx database where we inserted the Time series data
• The two clusters along with 10 nodes had the Prometheus exporters which continuously extracted the data based on the pull mechanism.
• The Grafana was installed on the system and integrated with the help of GQL to show the data on the Grafana dashboard like cluster and node along with pod monitoring
• The helm charts management was done via the helm repo where each sub folder was formed based on the WebOSE project repositories
• Splunk was integrated with each application to get the application logs.