Misbah A.

I help scaling teams cut AWS costs, modernize legacy infrastructure, and stop 3 AM pages — without rewriting their whole stack. 📌 Recent example: I rebuilt a Data Analytics SaaS platform from 3 standalone servers into an isolated, autoscaled AWS architecture — cutting infrastructure costs by 25% while improving reliability for 3 products and 5 data pipelines. I also moved their team to VPN-based and SSO access (because shared credentials are a security risk), and am now redesigning their data pipelines end-to-end — including AI-assisted incident triage and autonomous remediation experiments. 💬 Client feedback: "He solved in 5 minutes what other people couldn't solve for weeks." 🛠️ Recent projects: 📊 Data Analytics SaaS infrastructure (3.5-year engagement, ongoing): Migrated 3 standalone servers into isolated AWS accounts, right-sized S3, EFS, and Aurora storage tiers, replaced VPN with SSO plus least-privilege IAM, built full observability stack on Prometheus, Grafana, and Loki. 25% infrastructure cost reduction verified in AWS Cost Explorer. 🛒 High-availability Magento on AWS: Multi-AZ setup with Route53, CloudFront plus WAF, Varnish caching across availability zones behind a public load balancer, separate frontend, admin, and cron server pools behind a private load balancer, Redis for sessions and cache, Aurora RDS for MySQL, EFS for media, CI/CD via Jenkins. Survived 5x baseline traffic in load tests with zero downtime. Page-load times cut from 4 seconds to under a second. 🤖 Serverless AI recommendation engine on AWS Bedrock (Claude). End-to-end serverless with Lambda, API Gateway, AppSync, Redis for hot cache, S3 for catalog snapshots. Per-request cost less than one tenth of one cent. Client integrated into their storefront shortly after launch. 📈 APM and observability setup: Prometheus, Grafana, SigNoz, OpenTelemetry, Fluentd, Ocelot. Full distributed tracing from edge through API gateway to microservices to database. SLO-based alerting with Prometheus recording rules. Mean time to detect cut from roughly 30 minutes to under 5 minutes across 8 microservices. 🔐 VPN plus SSO migration: Replaced shared credential access with WireGuard plus Keycloak/Authentic SSO plus least-privilege IAM roles. Every action now attributed and auditable. Zero-trust access model for distributed development teams. 🎯 What I focus on: ✅ AWS cost optimization — typical 20 to 40% bill reduction, no risk to uptime ✅ Migrating single-server or VPS setups to autoscaled, isolated AWS infrastructure ✅ Kubernetes (EKS) cluster design, hardening, cost optimization, and migration from non-K8s environments ✅ Production observability with Prometheus, Grafana, Loki, OpenTelemetry, and SigNoz ✅ Moving teams to VPN-based and SSO access (because shared credentials are a security risk) ✅ Production triage when nobody else can find the bug ✅ AI-assisted operations — Agentic AI for incident analysis, log review, and infra automation 🤝 How I work: I join as a long-term infrastructure partner, not a one-off contractor. Most of my clients stay 1 to 3 years because infrastructure problems do not end at deploy.