Elastic 9.3 integrates native workflow automation into the Elasticsearch Platform with Elastic Workflows, enables users to ask questions of their data using natural language and simplifies the develop...

Elastic offers insights into Elasticsearch, Kibana, and the Elastic Stack, providing documentation, tutorials, and best practices for building search and analytics applications at scale. By exploring Elastic's curated content, developers can learn about full-text search capabilities, data visualization techniques, and distributed data processing for analyzing and exploring large datasets in real-time. Whether you're building logging systems, monitoring dashboards, or search-driven applications, Elastic offers resources to leverage the power of search and analytics and drive actionable insights from your data.

elastic

Elastic 9.3 introduces Elastic Workflows for native automation, Elastic Agent Builder for conversational AI with Elasticsearch data, and GPU-accelerated vector indexing via NVIDIA cuVS integration (12x faster indexing). Three Jina AI models are now available through Elastic Inference Service for embeddings and reranking. The release includes observability improvements like pattern-based log compression (50% reduction), 5x faster ES|QL queries on metrics, and Amazon Bedrock integration. Security enhancements feature automatic rule migration from QRadar, AI-generated entity risk summaries, and automatic gap filling for detection rules. Cloud Serverless now offers 35% lower search latency and 26% higher ingest throughput across 18 global regions.

Elastic 9.3: Chat with your data, build custom AI agents, automate everything