Gaurav Pandey

Senior Software EngineerMicrosoft
Bengaluru, Karnataka, India

Complex systems.
Clear thinking.

I build distributed systems, lead production migrations, and help engineers understand the choices behind them.

  • Distributed systems
  • Technical leadership
  • System design
About the engineer

Case studies

Engineering impact.
The work behind it.

Production migrations, automated workflows, and performance engineering.

Technical articles & videos

Ideas worth
passing on.

Start with a database deep dive, a systems pattern, or a video explanation.

Browse all articles & videos

Engineering playground

How I approach
engineering decisions.

Explore an illustrative request flow, then open the principles behind reliability, scale, and clarity.

A request’s journeyInteractive illustration
Illustration of routing and recovery; not a production topology.
01ReliabilityDesign for the imperfect day

What happens when a dependency stops responding?

A service should have an intentional failure boundary. Timeouts, bounded retries, and circuit breakers help prevent a local problem from becoming a wider outage. Observability should make that boundary visible.

At Capillary Technologies, the work included Resilience4j circuit breakers and a shared library for retry patterns on external API calls.

  • Resilience4j
  • Monitoring
  • Retry patterns
02ScaleFollow the work, then choose the shape

When should work happen asynchronously?

Separate work that needs an immediate answer from work that can wait. Queues and orchestration can make that separation explicit, but they also introduce delivery, ordering, and recovery decisions.

At CommerceIQ, Media Planner combined Java microservices with serverless workflows using AWS Lambda, SQS, S3, and Step Functions.

  • Java
  • AWS
  • Event-driven workflows
03ClarityMake the system understandable

How will another engineer know what is happening?

Make useful signals easy to find. Dashboards, explicit boundaries, and readable explanations help a team move from noticing a problem to understanding it. The people operating a system are part of its design.

At PayPal, the work included Grafana dashboards for chargeback tracking. Scale to Billions carries the same interest in explanation into articles and videos.

  • Grafana
  • Observability
  • Knowledge sharing

The people operating a system are part of its design.