Yaswanth Vegesna

Project: Optum SRE-Consumer-Digital

• Orchestrated full-stack observability with Datadog, integrating APM, infra monitoring, logs, RUM, synthetic monitoring, and custom metrics for holistic visibility.
• Engineered SLI/SLO frameworks with burn-rate based alerts and implemented Monitoring as Code using Terraform.
• Established Kubernetes observability with readiness/liveness probes, scaling metrics, and cluster health validation.
• Implemented database observability for Oracle and Redis observability for cache performance, latency, and replication metrics.
• Automated Datadog alerting and SLO monitoring using Terraform scripts, with GitHub Copilot accelerating the creation of burn rate alerts, Kubernetes observability, and service-level dashboards—enhancing reliability and reducing manual configuration overhead.
• Deployed RUM and Synthetic Monitoring to validate real user experience and simulate critical business transactions.
• Integrated Azure Application Gateway logs into Datadog for centralized traffic monitoring and anomaly detection.
• Automated incident triage, routing, and escalation using Datadog–PagerDuty–ServiceNow workflows, reducing MTTR.
• Utilized Splunk for application-level monitoring and log analysis across multiple services, enabling proactive issue detection, performance optimization, and real-time alerting.
• Conducted postmortems (RCAs) and drove reliability roadmaps aligned with error budgets.
• Implemented progressive delivery (canary & blue/green deployments) tied to error budgets for safe rollouts.
• Developed security observability ( Application-gateway , firewall events, API auth failures) in Datadog.
• Leveraged Datadog Watchdog (AI anomaly detection) for proactive service health monitoring.
• Mentored teams on observability-driven development, SRE practices, and incident automation.
• Integrated Azure Application Gateway logs into Datadog for centralized traffic monitoring and anomaly detection.

• Enterprise-wide support for all CI/CD tools such as Cloudbees-Jenkins, Github, Artifactory, Octopus-Deploy, and SonarQube
• Developed and maintained Terraform templates for AWS resources
• Managed Kubernetes clusters, ensuring high availability and scalability; implemented rolling updates and auto-scaling
• Streamlined CI/CD pipeline for Java applications using Maven, Gradle reducing build and deployment times
• Helped to enhance monitoring of production environment to ensure speedy resolution of issues with E commerce Search Optimization and recommendation APIS
• Ensuring full feed and delta feed processing through datadog events management
• Leading a team of six people in different time zones to provide continuity and on-call support
• Backup and snapshot creation, restoration activities from AWS S3 for DR server setup
• Configuration and patch management using ansible playbooksinfrastructure while managing the SLI, SLO and SLA to meet all the Site reliability criteria
• Deployed the microservices using docker compose in Podman containers and to EKS services
• Implemented Role-Based Access Control (RBAC) policies and user management to secure OpenShift environments

• IFIXES and generated fix packs for each release
• Updated source copyrights Set up build environments for specific versions, managed user password changes Cloned and set up development build servers Configured Appmake and Mainwin
• Set up UNIX and Windows build machines Set up Jenkins for continuous integration builds Maintained APPMAKE;
• created project-specific profiles Deployed EAR/WAR applications across various environments
• Created and set up workspaces for releases.