About Hemal Buha
Technical leadership
- Mentored two engineers on the infrastructure/backend team; ran architecture reviews and production incident coordination.
- Led cross-team Bunny-to-CloudFront CDN migration with measurable latency gains and coordinated release dependencies.
- Enabled support self-service through secure API-key tooling and runbooks for common platform operations.
I am a Senior Platform Engineer based in Whitefield, Bengaluru. I build secure, high-availability SaaS platforms - event-driven backends on AWS, release pipelines that catch problems before production, and systems that recover in minutes, not hours.
Over six years at Edmingle and Rovae I moved from Laravel APIs to multi-tenant Node.js platforms with Redis Streams, CloudFront, and GitHub Actions. I focus on the problems that only appear at scale: burst traffic, webhook idempotency, tenant isolation, and the delivery work that keeps a platform trustworthy when product teams ship daily.
This site documents that work through projects, production notes, and deep dives on platform engineering, Kubernetes, AWS, system design, observability, and AI infrastructure. Each expertise area has its own indexable page so you can see how the writing maps to real operational constraints.
Platform Engineering
Platform engineering expertise from Hemal Buha: internal developer platforms, CI/CD, developer experience, and production automation for SaaS teams.
ExploreKubernetes
Kubernetes platform patterns: crash loop debugging, autoscaling, GitOps with Argo CD, policy-as-code, service mesh decisions, and zero-downtime deployments.
ExploreAWS
AWS platform patterns by Hemal Buha: highly available API design, secrets management, CDN modernization, SQS workers, and reliable AI API infrastructure on AWS.
ExploreSystem Design
Distributed systems and SaaS architecture: multi-tenant isolation, database replica lag, event backbones with Redis Streams vs SQS, webhooks, and API reliability.
ExploreObservability and SRE
Observability and SRE practices: logs vs metrics vs traces, slow API debugging, Slack alerting at scale, chaos engineering, and LLM application monitoring.
ExploreAI Infrastructure
AI infrastructure and agent platforms: LLM gateways, reliable AI APIs, agent failure modes, prompt injection defenses, coding agents in CI, and LLM observability.
ExploreHemalBuha
I build secure, high-availability SaaS platforms - event-driven backends on AWS, release pipelines that catch problems before production, and systems that recover in minutes, not hours.
Six years across Edmingle and Rovae, from Laravel APIs to multi-tenant Node.js platforms with Redis Streams, CloudFront, and GitHub Actions. I care about the problems that only show up at scale - burst traffic, webhook idempotency, and the delivery work that keeps a platform trustworthy.
Additional credentials
Apr 2020 · Udemy
Statistics Fundamentals and its Applications