Title

AWS re:Invent 2023 - What’s new in Amazon OpenSearch Service (ANT301)

Summary

• Mukul Karnik, General Manager for OpenSearch at AWS, introduced the session and highlighted the growth of the OpenSearch open source project, with over 300 million downloads and 70-plus partners, including major cloud providers.
• The Amazon OpenSearch Service is designed for secure, cost-effective management of OpenSearch at scale, with integration into various AWS services, including AI/ML services.
• The Amazon Ingestion Service was launched to simplify data ingestion into OpenSearch, offering a serverless, efficient, and cost-effective solution compared to tools like Logstash.
• A migration assistant was announced to facilitate the transition from older versions of Elasticsearch or OpenSearch to the latest version, with features to compare performance and results between clusters.
• Zero ETL integration with DynamoDB was introduced, allowing synchronization of DynamoDB tables with OpenSearch indexes directly from the DynamoDB console.
• Carl Meadows, Director of Product Management at OpenSearch, discussed search and observability use cases, including the integration of AI/ML for semantic search and the launch of Neural Search in OpenSearch.
• Bill Burkett, Senior Manager at Electronic Arts, shared their experience migrating from self-managed Elasticsearch to OpenSearch, highlighting significant cost savings and operational improvements.
• Mukul Karnik concluded with innovations in the Amazon OpenSearch Service, including Multi-AZ with Standby for high availability, an optimized instance family for better throughput and cost savings, and serverless capabilities for easier management and scaling.

Insights

• The OpenSearch open source project has seen significant adoption and growth, indicating a strong community and partner ecosystem that extends beyond AWS.
• Amazon OpenSearch Service is focusing on simplifying data ingestion and management, reducing the need for custom code and complex data pipelines.
• The integration of AI/ML into OpenSearch is a significant step forward, enabling more advanced search capabilities like semantic search and multimodal search.
• Real-world use cases, such as Electronic Arts' migration to OpenSearch, demonstrate the tangible benefits of the service in terms of cost savings and reduced operational overhead.
• AWS is investing in making OpenSearch more resilient and cost-effective with features like Multi-AZ with Standby and optimized instance families, as well as embracing serverless to alleviate the burden of infrastructure management.
• The introduction of serverless capabilities in OpenSearch aligns with the broader industry trend towards serverless architectures, offering scalability and operational efficiency.
• The session highlighted AWS's commitment to continuous innovation in OpenSearch, with a focus on improving user experience, performance, and integration with other AWS services.