Boost your workloads with OpenSearch innovations
summary
Covers how Amazon OpenSearch Service simplifies deploying and running OpenSearch and Apache-2.0 Elasticsearch clusters at scale, and highlights recent innovations including a serverless option, built-in machine learning features, and cost-optimization capabilities. Also outlines current capabilities and planned future enhancements for using OpenSearch for log analytics, real-time monitoring, and site search.
AI-written summary · about
chapters (14)
- 0:00Intro
- 2:07Common use cases
- 2:59How does it work?
- 6:28Hot Storage tier: Support for GP3 (General Purpose SSD) volume type
- 9:17UltraWarm storage tier
- 11:59Amazon OpenSearch: Managed Clusters
- 16:56Technical innovations
- 19:12Amazon OpenSearch Serverless pricing
- 22:39Hot-warm architecture-Time Series Use Case
- 29:12Amazon OpenSearch Use Cases
- 30:093 Levels of Tenant Data Segregation
- 32:41Self Provisioning of Resources for Security Focused Tenants
- 38:48OpenSearch Project Roadmap is on GitHub
- 39:35Data & Analytics Track
related talks
12mMaximize media search scalability & performance w/
40mAgentic Relevance Tuning With OpenSearch: Faster, Easier, and Higher Quality Search at Scale
42mContribute to OpenSearch: Build Your Skills While Advancing Open Technolo...
18mAdvancing Search at Uber with OpenSearch
35mManaging the Managed: Advanced Automation and Security for Amazon...
26mOpenSearch and the Path to a Trillion-s...
15mAdvancing Search and Observability at Uber with OpenSearch
48mUnlocking Next-gen Semantic Search With OpenSearch 3.x
