Rajat Khare

Software Architect, Intuit

Rajat Khare is Software Architect with 16+ years of experience building products and services across Health Care, Automative and Finance domains. Rajat has been working with Intuit over the last 9 years where he has built multiple capabilities around products for Small Businesses in the QuickBooks Ecosystem that serves 8 Million+ customers! He enjoys working Full Stack and has lead multiple technology transformations around building modern Web experiences powered by Cloud based Distributed systems.

Most recently Rajat has been involved in breaking down capabilities from Monolith applications and building them as scalable & highly performant container based Micro Services on AWS. He has also been instrumental in adoption at scale of Front End Technologies like React/Apollo and using emerging Client/Server interaction models like GraphQL. He has also worked in depth on embracing messaging technologies like Kafka to decouple and build message based interactions across micro services.

Rajat is passionate about building highly fault tolerant and performant systems serving critical customer work flows. He loves to share deep technology insights and is an avid internal and external speaker. He has spoken at Nasscom events and conferences like GraphQL Asia conference 2019 earlier this year. He is a demonstrated innovator holding 5+ Patents that are live in production in the products he has worked on.


Talks on Wurreka:

How do you test your failure scenarios explicitly across Service APIs?. How can you take control of writing Automated Integration tests that simulate failure cases and test your resiliency and fallbacks?

As we design and build micro services exposing APIs, it becomes very critical to think of all the failure points that can happen and how they will manifest on the response. Its also important that as we plan automated Integration Testing on the APIs that run in CI/CD pipelines to be able to represent both success and failure test cases. Existing approaches to do so have been hard and usually need the whole environment in a failure more to be able to simulate or mock error cases from downstream dependencies.

In this session, Rajat will introduce AutoFIT, a light-weight framework he co-authored with his colleague Arun Lingala, which helps introduce failures using an expression in request header. The framework when consumed in the Service can intercept the expression and simulate a downstream dependency to return a desired error instead and help the code path enter the failure mode. This gives complete control on simulating a desired error for a request without putting the entire system in a failure mode.

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