Join our hands-on SRE Bootcamp and work on real-world cloud-native and AI-powered reliability engineering projects designed for modern production environments. Gain practical experience with Kubernetes, cloud platforms, observability tools, infrastructure automation, incident management, and intelligent monitoring systems while building scalable, resilient, and production-ready systems used by leading tech companies.
Built an end-to-end observability stack using Prometheus, Grafana, Loki, and Alertmanager to monitor production workloads, track system health, and automate alerting for critical incidents.
Designed an intelligent monitoring workflow that analyzed infrastructure logs and metrics to detect anomalies, trigger automated alerts, and reduce incident response time.
Deployed and managed a highly available multi-tier application on Kubernetes with autoscaling, rolling updates, ingress routing, and zero-downtime deployments.
Built a production-grade CI/CD workflow using Jenkins, GitHub Actions, Docker, and ArgoCD to automate testing, deployment, rollback strategies, and infrastructure delivery.
Provisioned scalable AWS infrastructure using Terraform and automated deployments with Infrastructure as Code (IaC) practices for reproducible environments.
Implemented centralized logging and distributed tracing using ELK Stack and OpenTelemetry to debug microservices and improve system reliability.
Simulated infrastructure failures, pod crashes, and network latency in Kubernetes environments to test resilience and improve system recovery strategies.
