Aman Singh
Principal Software Engineer at office of Microsoft Azure CTO
Bellevue, Washington, United States
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Principal Software Engineer in the office of Microsoft Azure's CTO, where he builds Drasi, a CNCF Sandbox project for change-driven architectures. Organizer of the official CNCF community group in Seattle.
A CNCF speaker (KubeCon NA 2025) and program committee member for KubeCon India 2026 and KubeCon Japan 2026 (AI + ML track), Aman also mentors students through Google Summer of Code and LFX Mentorship on projects spanning agentic AI, MCP, and IoT.
Aman has a decade of distributed systems experience at LinkedIn and Microsoft - spanning stream processing (Kafka, Samza), cloud migration, and building new Azure services from the ground up. His current work focuses on the intersection of change-driven systems and AI-augmented developer experiences.
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Drasi: A New Take on Change-driven Architectures
Modern cloud-native systems constantly generate data changes, and applications often need to react to them. Building change-driven solutions that respond to specific changes in distributed data is challenging. This talk introduces Drasi, a CNCF Sandbox project that simplifies the design and implementation of change-driven architectures by codifying continuous query and reaction patterns. For example, with Drasi you can declaratively write automation to detect and respond to running containers with newly identified vulnerabilities across pods and deployments in a Kubernetes cluster. Join us for a walkthrough of real-world use cases and live demos that show how Drasi’s approach brings structure and responsiveness to complex distributed environments—without writing custom code.
Presented at KubeCon North America in Nov 2025 in Atlanta, GA - https://kccncna2025.sched.com/event/27FcB/drasi-a-new-take-on-change-driven-architectures-aman-singh-microsoft?iframe=no
YouTube Video - https://www.youtube.com/watch?v=nbLJ_ICpZhc
Change-driven AI agents with Drasi and LangChain
Drasi is a change‑detection platform for databases that enables reactive, change‑driven AI agents. The LangChain‑Drasi integration connects real‑time data changes to agent workflows using continuous queries. Agents can discover and subscribe to changes, update state and memory, and adapt execution - turning static agents into long‑lived, responsive systems.
Presented at Microsoft Build 2026 in San Francisco in June 2026 - https://build.microsoft.com/en-US/speakers/1768245294609build26-1775094106472001eWz6
Recording - https://www.youtube.com/watch?v=K256XbO4zx4
Drasi - Microsoft Developer
Co-presented Drasi at Open @ Microsoft Podcast.
Drasi is a new data processing system that simplifies detecting critical events within complex infrastructures and taking immediate action tuned to business objectives. Developers and software architects can leverage its capabilities across event-driven scenarios, whether working on Internet of Things (IoT) integrations, enhancing security protocols, or managing sophisticated applications.
Published in Jan 2026 on Microsoft Developer YouTube Channel - https://www.youtube.com/watch?v=gR_2MV8GJ7M
A new take on Change Driven Architectures
The Building change-driven solutions that respond to specific changes in distributed data is
challenging. This talk introduces Drasi, a CNCF project that simplifies the design and implementation of change-driven architectures using Graph Queries and pluggable components. We see how Drasi can help you build real-time RAG pipelines on structured data sources, and another demo shows how to get alerted on slack when vulnerable container images get deployed in your Kubernetes cluster.
Presented on May 14th 2026 at Cloud Native PDX - the official CNCF Community Group for Portland area - https://www.youtube.com/watch?v=QttaAjred44
Drasi: React in real-time to changes happening in Distributed Systems
We will explore how Drasi lets us express sophisticated change detection logic using Graph queries that span data in PostgreSQL, Cosmos DB, Kubernetes, and other sources simultaneously—without writing custom streaming code. Aman, a Principal Engineer in the Azure CTO’s office at Microsoft, will walk through real scenarios (from detecting security vulnerabilities in K8s deployments to building real-time RAG pipelines on structured data for modern LLM-based agents, and optimizing curbside pickup scenarios).
This will be a technical deep dive with demos, covering both the conceptual framework and practical implementation patterns.
Presented at Seattle Systems Meetup Group on Sep 25, 2025 - https://luma.com/x54pm8cg?tk=XPgwlp
Aman Singh
Principal Software Engineer at office of Microsoft Azure CTO
Bellevue, Washington, United States
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