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.
Deploy a PHP-based e-commerce application on Ubuntu with Apache, MariaDB and Linux service, networking and security configuration.
Build a Bash-based Linux monitoring utility that collects system metrics, monitors services and processes, and generates automated reports and alerts.
Build a Bash-based deployment automation tool that updates Kubernetes deployment manifests in a Git repository and creates a Pull Request for application releases.
Design and deploy a highly available, fault-tolerant 3-tier e-commerce platform on AWS with automated scaling, load balancing, private networking and a managed relational database.
Build an event-driven infrastructure automation platform that automatically discovers EC2 instances launched by an Auto Scaling Group and dynamically updates a self-managed HAProxy load balancer.
Provision a highly available AWS 3-tier e-commerce platform using Terraform, implementing reusable Infrastructure as Code with remote state and automated application deployment.
Build a reusable Terraform platform that provisions isolated development, staging and production AWS environments using shared modules and automated infrastructure promotion workflows.
Build and deploy a 5-tier containerized voting platform consisting of two application services, a background worker, Redis and PostgreSQL.
Build secure, optimized and reproducible production Docker images using multi-stage builds, BuildKit, minimal runtime images and container security practices.
Build a functional Kubernetes cluster manually without kubeadm, RKE, k3s or managed Kubernetes, configuring the core control plane, worker components, PKI and cluster networking.
Build and operate a complete cloud-native e-commerce platform with 11 microservices on Kubernetes, implementing production-grade deployment, networking, security, autoscaling and GitOps practices.
Build a production-style multi-tenant Kubernetes platform where multiple development teams receive isolated virtual Kubernetes clusters on shared infrastructure, with centralized GitOps management and automated security governance.
Build an end-to-end CI/CD and GitOps pipeline that automatically tests application code, builds and scans container images, publishes them to a registry and promotes application releases to Kubernetes through Git.
Build a DevSecOps software supply chain that continuously secures source code, dependencies, infrastructure, container images and deployment artifacts from commit to Kubernetes.
Build an end-to-end SRE observability platform for a cloud-native microservices application, collecting metrics, logs and distributed traces and turning telemetry into dashboards, alerts and actionable SLOs.