I BUILD SYSTEMS
THAT DON'T FALL APART.
Cloud infrastructure, automation, and AI-powered systems — engineered for reliability, resilience, and scale.
I LIKE COMPLEX PROBLEMS.
I LIKE SIMPLE SOLUTIONS.
I'm a Cloud Engineer focused on Azure, DevOps, infrastructure automation, and cloud-native systems. I believe disciplined foundations outlast fleeting complexity.
AUTOMATE BEFORE YOU SCALE.
Premature manual operations breed operational debt. True scale is unlocked when infrastructure, testing, and deployment pipelines are fully reproducible and codified from day one.
MEASURE BEFORE YOU OPTIMIZE.
Intuition is valuable for hypotheses, but dangerous for architecture. Deep telemetry, structured metrics, and distributed tracing must inform every performance or cost decision.
DESIGN FOR FAILURE.
In cloud systems, networks partition, pods crash, and regions experience hiccups. Resilient engineering treats failure as a standard operating state through redundancy and self-healing.
KEEP COMPLEXITY WHERE IT BELONGS.
A simple developer and user experience often requires disciplined complexity under the hood. Contain and isolate that complexity within platform abstractions rather than exposing it.
TECHNICAL DOMAINS & CAPABILITIES.
No endless walls of logos. Organized by engineering discipline — from enterprise cloud landing zones to autonomous AI infrastructure.
CLOUD ARCHITECTURE
Enterprise Azure cloud environments engineered with defense-in-depth, strict workload isolation, and resilient networking.
DEVOPS & CI/CD
Automated build, test, and release pipelines ensuring consistent, audit-ready deployments without human intervention.
INFRASTRUCTURE AS CODE
Codified infrastructure state, modular architecture, and policy-as-code governing multi-subscription enterprise environments.
DEVELOPMENT & AUTOMATION
Modern full-stack interfaces, automation tooling, and high-performance APIs connecting cloud infrastructure to end users.
AI & EMERGING SYSTEMS
Exploring the frontier of AI infrastructure, agentic execution systems, Model Context Protocol (MCP), and browser automation.
SYSTEMS, PLATFORMS & ARCHITECTURES.
Engineering case studies and active platforms built with resilient cloud infrastructure, infrastructure as code, and agentic workflows.
Enterprise Cloud Modernization
Auditing & Migrating 40+ Workloads across 400+ Resource Groups
Architected and executed an infrastructure & DevOps modernization for a leading private aviation company. Migrated 40+ workloads into a Cloud Adoption Framework (CAF) compliant hub-and-spoke architecture.
- Consolidated 40+ subscriptions and 400+ resource groups into unified CAF landing zones.
- Established secure on-prem hybrid connectivity via ExpressRoute and VPN Gateway with zero-trust private endpoints.
ShipOps
Engineering Content & Cloud Knowledge Platform
A dedicated engineering knowledge and content platform focused on Cloud Architecture, Azure, DevOps workflows, and infrastructure automation.
- In-depth guides on real-world Azure hub-and-spoke networking and landing zones.
- CI/CD and Terraform automation best practices distilled for production environments.
AI Workflow Platform
Autonomous Agentic Automation with MCP & Playwright
An AI-powered workflow automation system exploring autonomous agents, Model Context Protocol (MCP) servers, browser automation, and containerized cloud runtimes.
- Dynamic tool calling and local context bridging via Model Context Protocol.
- Headless browser task execution with Playwright and self-healing error loops.
Terraform Azure Landing Zones
Production-grade Modular Infrastructure as Code
A complete library of modular Terraform configurations implementing Azure Cloud Adoption Framework (CAF) landing zones, automated network routing, and security baselines.
- Fully parameterized modules for hub VNets, spoke VNets, and private DNS zones.
- Built-in compliance with Azure CIS benchmarks and automated tfsec / checkov scans.
MCP Browser Sidecar
Model Context Protocol Server for Headless Automation
A lightweight Model Context Protocol (MCP) server providing structured browser inspection, screenshot capture, and web interaction primitives for AI agents.
- Exposes semantic DOM snapshotting and accessibility tree inspection to LLMs.
- Zero-dependency sidecar container design.
tanmaytrivedi.me
Engineering Noir Personal Headquarters
This website itself — built as a living representation of cloud engineering, systems thinking, and minimalist design with sub-second performance.
- Original 'Engineering Noir' design system with Geist & JetBrains Mono typography.
- 100% static prerendered output ready for Azure hosting.
BUILDING MY WAY THROUGH THE CLOUD.
A track record of solving real-world infrastructure problems, automating deployments, and scaling reliable cloud platforms.
Cloud Engineer / DevOps Engineer
Leading cloud architecture, Infrastructure as Code automation, and platform modernization across enterprise Azure environments.
DevOps / Infrastructure Engineer
Automated continuous integration, deployment pipelines, containerized workloads, and infrastructure observability.
THINGS I'VE LEARNED THE HARD WAY.
Field notes, architecture trade-offs, and practical lessons from operating cloud systems and AI workflows in production.
Azure Container Apps: Designing for Scale-to-Zero in Production
A deep dive into cold-start mitigation, KEDA HTTP scaler tuning, and ingress routing when building cost-optimized microservices on ACA.
Terraform in Production: What Breaks at 400+ Resource Groups
Architectural strategies for state file partitioning, module version pinning, plan performance optimization, and blast radius containment.
Building Deterministic AI Workflows with MCP & Playwright
Bridging large language models with browser automation and local system tools using the Model Context Protocol without hallucinated executions.
The Production Kubernetes Readiness Checklist
Essential guardrails every AKS cluster needs before accepting production customer traffic: resource requests, PDBs, and network policies.
From Operator to Systems Builder: A Cloud Career Reflection
Why the future of DevOps belongs to engineers who write code, design platforms, and treat infrastructure as a software product.
HAVE AN INTERESTING PROBLEM?
Let's talk about technology, cloud architecture, engineering, or something ambitious you're building.