Ankush Sharma’s new ground-breaking book, “Observability for Large Language Models: SRE and Chaos Engineering for AI at Scale,” becomes an Amazon #1 New Release.
There are only a handful of professionals across various fields who have stunned the world with their ground-breaking works. These highly-driven, determined and resilient professionals ensure to look at the bigger picture and focus on a powerful purpose to create a greater impact on the lives of others. This is precisely what Ankush Sharma has been doing as a one-of-a-kind technology leader and now an author with his new book, “Observability for Large Language Models: SRE and Chaos Engineering for AI at Scale,” which has already become an Amazon #1 New Release.
The world is increasingly surrounded by artificial intelligence (AI). It is something that has been increasingly powering critical business and consumer applications, and thus ensuring reliability, resilience, and ethical deployment of large language models (LLMs) becomes vital than ever. In such a scenario, technology leader Ankush Sharma has introduced his new book, Observability for Large Language Models: SRE and Chaos Engineering for AI at Scale, which has gone ahead to become #1 New Release on Amazon in the Software Engineering category.
The tenacious tech talent, through his new book, has offered people a pioneering guide that provides them with a first-of-its-kind framework for monitoring, testing and scaling LLMs in production environments. He combines two decades of engineering leadership across Microsoft and startup ecosystems with deep expertise in multi-cloud infrastructure, distributed systems and site reliability engineering.
Key topics of his new book include:
- Evolving traditional observability for AI/ML environments.
- Setting Service Level Objectives (SLOs) for LLM performance.
- Logging, tracing, and monitoring in distributed AI systems.
- Ethical considerations and risk management in AI deployment.
- Applying chaos engineering to validate resilience.
Real-world case studies make the concepts applicable immediately for engineers, researchers and decision-makers who aim to scale LLM operations responsibly.
Ankush Sharma has risen to be a respected tech engineering leader with over two decades of experience in AI, Cloud infrastructure, and SRE. His career includes leading global engineering teams to deliver scalable, high-quality software at Microsoft and high-growth startups. His credentials span Google Cloud SRE, measuring and managing reliability, Generative AI, Microsoft MCP, MCTS and Oracle OCA AI certifications. Academically, Ankush holds a Bachelor’s in Computer Engineering and a Master’s in IT degree with an alumni status from Stanford Graduate School of Business, Massachusetts Institute of Technology and Southern New Hampshire University.
Early readers of his book have praised his impactful writing, the book’s clarity, depth and practicality. The book is available in print and Kindle editions via Amazon. The book is also now available internationally, including the US, India, Canada, Netherlands, Japan, Brazil, Poland and the UK.
