Akash Thakur is an internationally recognized Site Reliability Engineering leader and IT Architect with over 16 years of experience transforming mission-critical infrastructures across finance, healthcare, and public sector organizations. Currently serving as SRE Architect at Cognizant Canada, he has pioneered automation-first SRE strategies that have delivered measurable performance breakthroughs and millions in cost savings for Fortune 500 enterprises. His expertise spans cloud platforms (AWS, Azure, GCP), advanced observability frameworks, and Infrastructure as Code implementations that have been adopted as reference architectures across global operations. He has successfully led complex modernization programs—including a five-year initiative completed with zero production incidents—while introducing AI-driven recovery processes that have redefined operational resilience standards. Beyond his technical leadership, he serves as an IEEE Senior Member and Editorial Review Board Member for Major Journal. He has been recognized as a national judge for the Canada-Wide Science Fair and Technovation Global (UN-affiliated), and contributes as an expert judge for the prestigious Globee® Awards for Business & Technology Excellence. A graduate of NIT Raipur with a B.Tech in Computer Science, he holds certifications including AWS Cloud Practitioner, Salesforce AI Associate, and GitHub Certified Copilot. He is passionate about bridging traditional and cognitive workloads, and writes about the evolving intersection of SRE practices and AI infrastructure.
From cargo-culting Google's playbook to rushing AI-powered observability into production before the fundamentals are in place, here's where SRE transformations quietly go wrong, and how to course-correct. ...
AI Reliability Engineering (AIRE) is here, but is your organization ready? Discover why 80% of AI projects fail due to "Runbook Debt" and why traditional SLOs are meaningless for non-deterministic AI agents ...
Many SRE initiatives stall because organizations adopt the title without the principles. True SRE success requires leadership vision, cultural change, shared KPIs and continuous maturity measurement—not tools alone ...
Discover how AI and large language models (LLMs) are revolutionizing performance testing—shifting from reactive load testing to predictive, continuous assurance powered by intelligent agents and automation ...
As organizations embrace artificial intelligence (AI) workloads alongside traditional cloud systems, site reliability engineering (SRE) must evolve to manage an entirely new class of infrastructure — intelligent, hybrid and graphics processing unit ...
