Anirudha Jadhav is a Senior Engineering Manager at Amazon Web Services, where he leads observability and platform development for the OpenSearch project—the open-source, Apache 2.0-licensed search and analytics suite used by organizations worldwide. His team drives the evolution of OpenSearch Dashboards, the project’s visualization and analytics platform, and is at the forefront of building agent observability capabilities that give engineering teams deep visibility into the behavior, performance, and reliability of AI agents and autonomous systems in production.

Under Anirudha’s leadership, OpenSearch’s observability stack has grown to encompass trace analytics, metrics federation with Prometheus and OpenTelemetry, log analytics with query-time field extraction, and integrated alerting—providing a unified, open-source alternative for full-stack and agent observability. His work on query infrastructure, including SQL and Piped Processing Language (PPL), has made OpenSearch a powerful platform for investigative and operational analytics at massive scale.

Anirudha brings nearly two decades of experience building search and data platforms at the highest scale. His contributions include architecting one of the largest Lucene-based search deployments in production, managing over 86 billion documents. Prior to AWS, he spent 11 years at Bloomberg LP, where he founded the company’s Search as a Service platform and served as Lead Search Architect for Bloomberg Vault, re-engineering its search stack on Solr/Lucene for a multi-data-center cloud deployment.

Anirudha holds a Master’s degree in Computer Science from New York University’s Courant Institute of Mathematical Sciences. He is a passionate open-source advocate and a frequent contributor to the OpenSearch community through technical talks, blog posts, and hands-on community engagement.

Areas of Expertise

Agent observability and AI system monitoring, OpenSearch Dashboards and visualization platforms, distributed search and analytics at scale (Lucene, Solr, Elasticsearch, OpenSearch), open-source observability and telemetry (OpenTelemetry, Prometheus), query language design (SQL, PPL, DSL), enterprise data platform architecture, and large-scale data ingestion and retrieval systems.

 

LinkedIn: linkedin.com/in/ianirudha

 

Presentations

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OpenSearch: The Open Source Path to Search and Observability

OpenSearch has become a cornerstone of open source search and observability, empowering developers and organizations to derive meaningful insights from unstructured data at scale. With OpenSearch officially joining The Linux Foundation in 2024, backed by tech giants such as IBM, SAP, Uber and AWS, it further cemented its position in the open source ecosystem.

In this session we’ll introduce OpenSearch, from indexing and analyzing unstructured logs to full observability capabilities across tracing, monitoring and security. We’ll share latest improvements in query performance and scalability, and real-time analytics, as well as its expanding ecosystem with new plugins and SDKs in multiple programming languages, and its compatibility with cloud-native environments. You’ll even find vector search and natural language processing capabilities for your AI/ML development.

Join us to hear it right from OpenSearch Ambassador and lead of the Observability TAG (technical advisory group) and discover how OpenSearch can fit into your observability architecture.

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