Richa Banker is a Senior Software Engineer based in San Jose with 9 years of experience building scalable distributed systems and data platforms. She holds an MS in Computer Science from UC San Diego and has focused the last several years on distributed tracing, observability and Kubernetes instrumentation while at Google and Salesforce. Her background spans data engineering with Apache Spark and Kafka, backend systems in Java/C++/Python, and cloud infrastructure on AWS, MySQL/Postgres and Elasticsearch. At Google she works on GKE and cluster upgrades and chairs SIG-Instrumentation for Kubernetes, contributing to SLIs and metric integration in core components. She enjoys solving hard performance and reliability problems with efficient, pragmatic designs and brings a proven track record of shipping instrumentation that improves production health visibility. Outside of work she blends an ML specialization from grad school into practical tooling for monitoring and troubleshooting complex distributed applications.
9 years of coding experience
6 years of employment as a software developer
University of California, San Diego
Bachelor of Technology (B.Tech.) Information Technology, Bachelor of Technology (B.Tech.) Information Technology at NIT Kurukshetra
Production-Grade Container Scheduling and Management
Role in this project:
Backend & DevOps Engineer
Contributions:565 reviews, 5 commits, 88 PRs in 10 days
Contributions summary:Richa contributed to the addition of Service Level Indicators (SLIs) for various Kubernetes components including the kube-scheduler, kube-proxy, cloud-controller-manager, and kubelet. The commits primarily focused on integrating SLI metrics into the health checks of these components. Additionally, the user added a test for internal metrics within the component-base of the Kubernetes project. The work demonstrates familiarity with Kubernetes internals and metrics instrumentation.
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