Performance Testing with AI with Akash Thakur

About This Episode:

Is traditional performance testing becoming obsolete?

In this episode, performance engineering expert Akash Thakur shares why AI is fundamentally transforming load testing, scripting, observability, and shift-left strategies.

With 17 years of real-world enterprise experience, Akash explains how AI-augmented tools are already reducing scripting time by 30%, improving analysis speed, and helping teams move from reactive performance testing to predictive intelligence.

You’ll learn:

• How AI is accelerating performance scripting and analysis
• Why shift-left performance testing is finally becoming realistic
• The role of structured data in predictive QA models
• How to test AI applications (LLMs, GPUs, inference throughput) differently than traditional web apps
• What the future role of performance engineers looks like — architect, not script writer

If you’re a performance tester, SRE, QA leader, or DevOps engineer wondering how AI will impact your role — this episode gives you practical, actionable insights you can apply immediately.

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About Akash Thakur

Akash Thakur is an SRE leader, architect, and advisor known for implementing advanced Site Reliability Engineering models across global enterprises. With 17+ years of experience, he specializes in value-driven SRE transformations, AI-powered Performance Engineering, and scalable cloud reliability practices. His work and articles are frequently featured in industry platforms, and he guides organizations on building high-performing engineering cultures with clear vision, measurable reliability goals, and sustainable operational excellence. Akash is passionate about demystifying SRE for wider audiences and bringing practical, actionable insights to the community.

Connect with Akash Thakur

• • LinkedIn: www.akash-thakur-00367a155
  • Github: www.akashthakur34

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