AI Infrastructure
How I Use AI Agents in Production Infrastructure Work
Three real production AI agent workflows for infrastructure analysis, engineering activity reporting, and complex database latency investigation.
ReadAI Readiness Advisory
Is Your SaaS Product AI-Ready?
We'll Tell You in Two Weeks.
Fixed-scope AI readiness reviews, Kubernetes AI workload assessments, and AWS cloud cost audits for B2B SaaS teams. No sales pitch, no open-ended engagement, a clear report you can act on.
At a glance
- Headquarters
- Coimbatore, India
- Practice
- Cloud Modernization · Reliability Engineering · AI Integration
- Clients
- Scaling SaaS · Enterprise Technology · Global
The Technology Continuum
Six eras. One continuous arc of enterprise computing.
Every transition looks different on the surface. Underneath, the same forces are always at work — economics shift, standards form, and powerful capabilities become accessible to more organizations at lower cost. Understanding these forces is what separates organizations that adapt from those that struggle.
- 1960sMainframe
- 1980sEnterprise
- 1990sWeb
- 2010sCloud
- 2015+Cloud Native
- 2020s+AI Native
- 1960sMainframe
- 1980sEnterprise
- 1990sWeb
- 2010sCloud
- 2015+Cloud Native
- 2020s+AI Native
Practice
Where we focus
01
Architecture Review
An independent assessment of your infrastructure's scalability, reliability, resilience, and operational readiness — with a clear, actionable roadmap.
02
Cloud Modernization
A structured evaluation of your current platforms, identifying modernization opportunities, migration paths, and cost optimization priorities.
03
AI Readiness Advisory
Supporting engineering teams exploring AI integration — from infrastructure readiness to evaluating which capabilities are genuinely production-worthy.
Founded by practitioners
27 years across every major technology transition — hands-on, in production, at scale.
D. Kumaran
Infrastructure & Platform Engineering
27+ years hands-on across mainframes, enterprise systems, cloud infrastructure, Kubernetes, and AI-native platforms. Currently operating infrastructure across 12 AWS regions. AWS Solutions Architect Professional, CKA, CKAD. M.Tech in AI & ML, BITS Pilani.
Radha Kumaran
Programs, Education & Delivery
Software engineer with 15+ years delivering large-scale technology programs — including digital product launches and online education reaching millions of people. Brings structured program delivery and pedagogy to every engagement.
Perspective
Insights for technology leaders.
Practical thinking on technology transitions, cloud architecture, and AI integration — written from 27 years of hands-on experience, not analyst reports.
All insightsCloud Economics
Where Cloud Cost Hides in a Distributed Device SaaS Platform
An outside-in architecture study of where cloud cost hides in distributed-device SaaS platforms across media delivery, telemetry, remote commands, offline reconciliation, software updates, APIs and observability.
ReadAI Infrastructure
7 Pillars of AI Infrastructure Readiness for B2B SaaS Teams
Assess the strategy, data, models, infrastructure, lifecycle, governance, and people needed to move an AI feature safely from prototype to production.
ReadAI Infrastructure
Adding AI to Your B2B Software Product? First Identify the AI Pattern
Four AI patterns. Four different infrastructure problems. Often treated as one. Nine lessons from a real production implementation.
ReadTechnology Transitions
What 27 Years of Technology Transitions Teach Us About AI
The patterns are familiar. The stakes are higher. What the cloud era teaches us about navigating AI adoption.
ReadCloud & Reliability
Why Your AWS Bill Grew 40% Last Quarter — And What To Do About It
Many organizations migrated to cloud infrastructure without migrating to cloud thinking.
ReadUpcoming · Free Webinar
Which AI pattern is your B2B SaaS product building — and is your infrastructure ready?
A free session for engineering leaders navigating the AI infrastructure question. We will confirm the date once we have enough interest.