This article explains how Elasticsearch achieves high-performance vector search using HNSW indexing, reaching 15,000 QPS with a 0.99 recall@10 for float32 vectors. It highlights ho…
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To avoid production failures, the author argues that teams must move beyond superficial benchmarks and evaluate vector databases using their specific data distributions to accurate…
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Elastic's Employee Resource Groups (ERGs) foster community and belonging among its diverse global workforce by providing platforms for networking, learning, and professional develo…
Datadog’s new MCP Apps extend the Datadog MCP Server by integrating interactive UI elements, such as live graphs and monitor cards, directly into AI interfaces like Claude, Cursor,…
Datadog has introduced Bits Threat Hunting, an autonomous AI agent for its Cloud SIEM designed to transition security operations from reactive detection to proactive, hypothesis-dr…
Datadog has introduced "Service Remapping," a new feature that allows users to rename, merge, or split services directly through the UI without requiring code changes or redeployme…
Datadog Apps provides a code-first framework for building and running custom internal applications directly within the Datadog platform, specifically optimized for use with AI codi…
Bits Release is a new Datadog tool designed to manage the increasing velocity of AI-driven code deployments by automating release validation and rollout intelligence from pull requ…
Datadog Code Threat Detection uses AI-assisted analysis to identify malicious pull requests that target CI/CD pipelines, dependencies, and development workflows. Unlike traditional…
Datadog Federated Logs enables users to query external data stores, such as Databricks and ClickHouse, directly from the Datadog Log Explorer using a single, consistent syntax. Whe…
Datadog is combining its End User Device Monitoring with Network Path to allow IT teams to trace the entire network journey from a user's device to a SaaS application. This integra…
Datadog’s "Patterns" feature automatically clusters LLM production traffic into interpretable, hierarchical topics to reveal unanticipated user behaviors and workflows. By linking …