Releasesby GlyphInvestigate Kubernetes health and processes with the Datadog MCP Server
Datadog added new tools to the Datadog MCP Server, enabling AI agents to investigate Kubernetes control plane health, search running processes, and analyze process metrics.
Also shipped Nov 9, 2026Datadog in November 2026 →
AlloyDB AI smart batching and sentiment analysis are generally available
AlloyDB AI smart batching for AI functions and the ai.analyze_sentiment function are now generally available on PostgreSQL 17 and later. Smart batching improves query performance by offloading AI operations asynchronously.
BigQuery compute cost attribution is available in preview
BigQuery now supports compute cost attribution in preview, allowing users to track billed compute charges at the project level based on reservation capacity usage for FinOps reporting.
BigQuery jobs explorer performance troubleshooting is generally available
BigQuery jobs explorer now provides generally available tools for troubleshooting query performance and comparing job and system performance to diagnose regressions.
BigQuery pipeline task concurrency limits are generally available
Users can now specify the maximum number of concurrently executed tasks when creating or scheduling BigQuery pipelines.
BigQuery adds Zstandard compression functions in preview
BigQuery now supports Zstandard (Zstd) compression and decompression functions for bytes and string values in GoogleSQL, currently available in preview.
AWS Glue adds 100 new native connectors for popular SaaS applications
AWS Glue now includes 100 native connectors for SaaS and REST API applications, enabling data integration without custom code. These connectors allow teams to reuse connections across ETL jobs with existing permission models.
More from DatadogEvery Datadog release →
Catch incidents and pause faulty deployments automatically with Datadog Deployment Gates
Datadog launched Deployment Gates to automate deployment safety checks, catch production issues early, and automatically pause faulty rollouts.
Monitor OCI workloads in US government clouds with Datadog
Datadog for Government now supports monitoring Oracle Cloud Infrastructure workloads across US Government Cloud (OC2) and US Defense Cloud (OC3).
Monitor OpenAI Codex usage and impact with Datadog
Datadog added monitoring support for OpenAI Codex, enabling teams to track token consumption, adoption, code contributions, and review activity alongside software delivery performance.
Monitor and troubleshoot employee devices with Datadog End User Device Monitoring
Datadog introduced End User Device Monitoring to help IT teams detect degrading employee devices, trace issues across networks, and resolve recurring hardware and software problems.
Compare AI agent changes with Online Experiments in Agent Observability
Datadog Online Experiments allows engineers to test AI agent changes against production traffic. It enables comparison of response quality, cost, latency, and error rates.
Migrate Splunk queries, alerts, and dashboards to Datadog
Datadog Log Management now includes Translate and Import tools to migrate Splunk SPL queries, alerts, and dashboards. It also provides tracking for migration progress.
Evaluate your AI agents with Fireworks AI models in Datadog Agent Observability
Users can now evaluate AI agents and compare model performance within the Datadog Agent Observability Playground using integrated Fireworks AI models.
Extend RUM to Electron’s main process with the Datadog Electron SDK
The Datadog Electron SDK now supports Real User Monitoring (RUM) for the Electron main process, allowing developers to capture failures and trace requests across Node.js and Chromium.