Datadog

Let’s say your team shipped a support agent last quarter. The launch demo went well, stakeholders were pleased, and everyone moved on. A few months later, things start to look off. Summaries of long conversations are truncated, and monitors show latency spikes on tool calls to…

Datadog's APM team open sources dd-trace-rs, an opinionated Rust distributed tracing library built on the OpenTelemetry SDK. It configures itself from standard Datadog environment variables (DD_SERVICE, DD_ENV), applies consistent sampling and context propagation, and reuses the OpenTelemetry instrumentation ecosystem, alongside upstream contributions to improve tracing/OpenTelemetry interoperability.

Published

Developers and SREs who use Bitbucket Cloud often need to move between their source code, observability data, test results, and security findings to investigate a problem. Connecting an error or slow method to the correct repository, file, and…

Learn how Bits generates synthetic data, measures simulation fidelity, and uses execution time and database work to determine whether an optimization is truly faster.

Learn how Tines workflows can update Datadog Observability Pipelines to prioritize threats, reduce alert noise, and accelerate investigations.

Adds a Feature Flags tab available on all Datadog sites with overrides scoped per site, attaches debug IDs to log events, and enables session replay to clear its string table. Fixes include sanitizing name in startView/setViewName and resolving document-relative URLs against document.baseURI.

Datadog's new build-time allowlist approach for RUM and Session Replay preserves readable action names for static text while keeping runtime-generated or sensitive values masked. The mask-unless-allowlisted privacy level and companion build plugin extract fixed strings from compiled artifacts and let the Browser SDK display only allowlisted text.

Blog post details findings from monitoring Datadog's own AI agents, covering inventorying agent components and tracing sensitive data and tool calls.

Datadog Live Debugger lets teams place logpoints on running services to capture variable values, method arguments, and execution context without restarting or redeploying code. Bits AI can analyze linked source code, place non-breaking logpoints, retrieve variable snapshots, and suggest fixes from production data.

The Dynamic Instrumentation proxy no longer drops payloads — this was accidentally removing existing workload-specific configs. Also fixed a system-probe upgrade regression that prevented clean upgrade.

OpenFeature provider now loads configuration directly from Datadog over HTTPS without a Datadog Agent, with remote configuration via DD_FEATURE_FLAGS_CONFIGURATION_SOURCE=remote_config. Also adds AI Guard redaction, LLM Observability experiment queries and feedback submission, and Span.remove_tag/remove_metric, plus fixes for Bedrock token metrics, Django worker memory, and distributed sampling decisions.

cloud cost management anthropic claude code ai

Learn how federal agencies can use Datadog Cloud Cost Management to build the cost, usage, and value evidence needed for FY27 AI renewals as OneGov promotions expire.

Datadog explores how platform teams must adapt Golden Paths for AI agents, covering execution pattern selection, machine-consumable and enforceable capabilities, and controlled platform workflows.

Datadog's Serverless Compatibility Layer extends direct telemetry collection to Azure Functions on Linux and Windows across all hosting plans, for .NET, Python, Node.js, and Java. Distributed tracing for Azure Functions is generally available, with trace context preserved across Service Bus, Event Hubs, and Cosmos DB via inferred spans and span links.