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Cost-effective data tiering in OpenSearch has traditionally meant moving older indices to warm storage that is optimized for density rather than mutability. In practice, this comes with no write support and intrusive migration workflows that rely on forced segment merges, serial processing, and heavy CPU and IO usage—frequently impacting production workloads and operational stability.
In this talk, we introduce Writable Warm, a new tiering architecture designed for remote-storage-backed clusters that removes the read-only constraint while simplifying operations. Instead of heavyweight migrations, Writable Warm relies on fast shard relocation, block-level data access, and lazy recovery to support sustained writes and reads on warm data.
We will walk through the core design decisions behind block-level fetching, replica-aware recovery, and concurrent seamless migrations, and explain how eliminating forced merges improves stability and predictability at scale. Attendees will learn how this approach enables faster tier transitions, better resource utilization, and meaningful cost reductions—without changing application behavior or operational workflows.
Shubh Sahu is a Software Development Engineer II at Amazon OpenSearch Service. With 2.5 years of experience in building distributed systems and storage solutions, he focuses on enhancing the scalability and reliability of OpenSearch, enabling customers to efficiently leverage open-source... Read More →
Software Development Engineer II, Amazon Web Services OpenSearch Services
Sandeep Kumawat is a Software Development Engineer II at Amazon OpenSearch Service with 2.5+ years of experience building and operating large-scale distributed systems. He works on core OpenSearch internals, focusing on scalability, reliability, and performance of storage and indexing... Read More →
Software Development Engineer, Amazon Web Services
Harshita is a Software Developer at Amazon Web Services. She has contributed to building scalable and reliable systems to help customers leverage open-source search and analytics effectively.
