Portfolio
Case study: Infrastructure Reliability (SRE)
Industry:
High-Traffic E-commerce / AI-Native Platforms
Built for DevOps teams and Product Owners to ensure 24/7 availability and "four-nines" (99.99%) uptime during high-velocity growth.
Problem
Manual Scaling Failures:
Sudden traffic spikes from marketing campaigns caused frequent "cascading failures" and site crashes.
Observability Gap:
The team only discovered site outages when customers complained on social media.
Slow Recovery (MTTR):
Identifying the root cause of an infrastructure failure took an average of 3 hours of manual log-diving.
Configuration Drift:
Manual changes to servers made the infrastructure impossible to replicate or scale reliably.
Solution
Kubernetes Orchestration:
Migrated the legacy application to a managed Kubernetes cluster (EKS) with Horizontal Pod Autoscaling (HPA).
Infrastructure as Code (IaC):
Defined the entire environment using Terraform, ensuring 1:1 parity between Staging and Production.
Proactive Observability:
Deployed a Prometheus and Grafana stack to monitor "Golden Signals" (Latency, Errors, Traffic, Saturation) in real-time.
Automated Incident Response:
Configured n8n to trigger automated self-healing scripts and alert on-call engineers via PagerDuty/Telegram.
Tech Stack
Platform:
Kubernetes (EKS) & Docker.
Provisioning:
Terraform (Infrastructure as Code).
Monitoring:
Prometheus, Grafana, and OpenTelemetry.
Automation:
n8n (Alert routing and auto-remediation).
Results
Uptime Milestone:
Increased availability from 98.5% to
99.99%
over a 6-month period.
Detection Speed:
Reduced Mean Time to Detect (MTTD) from 45 minutes to
under 120 seconds
.
Scalability:
The system now automatically scales from 2 to 50+ nodes during traffic spikes without manual intervention.
Deployment Safety:
Zero-downtime rolling updates eliminated the "Sunday night maintenance" window.
DevOps & SRE