Breaking down AI complexity: Your gateway to production-ready applications with Elasticsearch — the world's most downloaded vector database Generative AI (GenAI) is transforming the business landscape we’ve come to know.

Elastic Observability 8.16 announces several key capabilities: Elastic Observability 8.16 is available now on Elastic Cloud — the only hosted Elasticsearch offering to include all of the new features in this latest release. You can also download the Elastic Stack and our cloud orchestration products — Elastic Cloud Enterprise and Elastic Cloud for Kubernetes — for a self-managed experience. What else is new in Elastic 8.16?

A deeper look into our new, simplified navigation menu for Elastic Cloud Hosted deployments In recent years, the Elastic platform steadily expanded its features and capabilities to address complex and evolving customer needs. As a result, the left navigation became a vast array of over 100 menu items. While our customers deeply value this extensible toolset on a unified platform, daily users need a simple interface for quick access to commonly used tools.

With the precision of search and the intelligence of AI, Cisco uses Elastic on Google Cloud to create richer search experiences, so support engineers can quickly find the answers they need. Scaling from this success, Cisco's Search team added AI models, semantic search, and vector search to more than 50 internal- and external-facing apps, helping them innovate more quickly and increase overall operational efficiency.

We’re excited to announce Vectorize now integrates with Elasticsearch vector database! This powerful combination simplifies building retrieval augmented generation (RAG) pipelines, allowing AI engineers to focus on building applications with unprecedented speed and accuracy. Elasticsearch vector database enables fast and efficient real-time search and retrieval of vector data, making it an excellent database for RAG applications.

Understanding telemetry signals for better decision-making, improved performance, and enhanced customer experiences Telemetry signals have evolved significantly over the years — if you blinked, you could have missed it. In fact, much of the common wisdom about observability needs a refresh. If your observability solution doesn’t consider the current state of telemetry, you might need an upgrade.

The combination of AI and search enables new levels of enterprise intelligence, with technologies such as natural language processing (NLP), machine learning (ML)-based relevancy, vector/semantic search, and large language models (LLMs) helping organizations finally unlock the value of unanalyzed data. Search and knowledge discovery technology is required for organizations to uncover, analyze, and utilize key data.

How Proficio leveraged Elastic Security on AWS to revolutionize threat detection and response In today’s rapidly evolving digital landscape, maintaining robust cybersecurity defenses has never been more critical. Proficio, a leading managed security services provider, faces the continual challenge of monitoring an expansive array of data points and potential vulnerabilities.

Achieving modern observability with a unified data platform and Search AI If you have a love-hate relationship with your data, we don’t blame you. It’s generated at high velocity and from all sides — your apps, endpoints, networks, and servers. By 2025, global data creation is projected to grow by more than 180 zettabytes.* Inside this wealth of data lies better operational resilience, profitability, and innovation.

With the upcoming release of JDK 23, there are some significant changes in locale information that will affect Elasticsearch and how you ingest and format datetime data. Firstly, a bit of background.