Ce que Datadog a publié en 2026

Enforce custom rules in Datadog IaC Security scanning

Datadog introduced the ability to create, test, and publish custom Infrastructure-as-Code (IaC) Security rules directly within its platform. This allows organizations to enforce organization-specific …

Transform and route security logs to Microsoft Sentinel tables using Observability Pipelines

Datadog introduced Observability Pipelines Packs to transform and route security logs to Microsoft Sentinel tables, enabling schema mapping and ingest volume control. This integration streamlines log …

From alert to resolution: Manage incidents with Bits Chat in Slack

Datadog introduced Bits Chat in Slack, enabling teams to investigate incidents, collaborate with responders, make code fixes, and track follow-up work directly within Slack. The feature integrates Dat…

Manage Cursor costs with Datadog Cloud Cost Management

Datadog launched a new integration with Cursor, enabling users to analyze AI coding spend by user and model, detect unexpected cost changes, and manage these costs alongside existing cloud and SaaS sp…

Pricing change detected for Datadoghq

Pricing updated for Datadoghq: - New tier: AI Credits - On-Demand ($1.30/mo per credit) - New tier: AI Credits - Annual (Custom pricing) - New tier: Code Coverage - On-Demand ($12/mo — promo: Multi-Ye…

Pricing updated for Datadoghq: - New tier: AI Credits (On-Demand) ($1.30/mo per credit) - New tier: AI Credits (Annual) (Custom pricing) - New tier: Code Coverage (On-Demand) ($12/mo) - New tier: Code

Pricing updated for Datadoghq: - Log Management (Standard Indexing): annual price $2.13/mo → $2.125/mo - Log Management (Flex Storage): annual price $0.063/mo → $0.0625/mo - Feature Flags: allowance c

Pricing updated for Datadoghq: - New tier: AI Credits ($1.30/mo per credit ($1.08/mo annually)) - New tier: Code Coverage ($12/mo ($10/mo annually)) - New tier: Log Management (Ingest) ($0.10/mo per G

Pricing updated for Datadoghq: - Infrastructure - Free: allowance changed from Up to 5 hosts to 5 hosts - New tier: AI Credits ($1.30/mo per credit ($1.08/mo annually, 17% off)) - New tier: Code Cover

Pricing updated for Datadoghq: - Infrastructure - Free: allowance changed from 5 hosts to Up to 5 hosts - New tier: AI Credits - On-Demand ($1.30/mo per credit) - New tier: AI Credits - Annual (Custom

Monitor prompt caching to optimize your token usage

Datadog introduced a new feature to monitor prompt caching, enabling users to track and optimize token usage in their AI applications. This helps reduce costs and improve efficiency by identifying red…

Debug live production code without redeploying with Datadog Live Debugger

Datadog introduces a new Live Debugger feature that allows developers to debug live production code without redeploying applications, reducing downtime and improving debugging efficiency.

Monitor Azure Functions across every hosting plan with Datadog

Datadog announces expanded monitoring capabilities for Azure Functions, covering all hosting plans. This enhances observability for serverless workloads.

Pricing updated for Datadoghq: - Feature Flags (On-Demand): promotion ended (was: Usage below 1 million monthly flag configuration requests is included at no cost.) - Feature Flags (On-Demand): allowa

Control trace volume with OpenTelemetry tail-based sampling

Datadog introduces OpenTelemetry tail-based sampling to help users manage trace volume more effectively, reducing costs and improving observability efficiency.

Pricing updated for Datadoghq: - Feature Flags (On-Demand): promotion changed — Usage below 1 million monthly flag configuration requests is included at no cost. - Feature Flags (Annual): promotion ch

Trace AWS Lambda durable functions with Datadog

Datadog announces support for tracing AWS Lambda durable functions, enabling better observability for serverless workflows.

Centralize human and agentic work with Datadog Work Management

Datadog launches Work Management, a new feature designed to centralize human and agentic work within its platform. This aims to streamline workflows and improve collaboration.

Two ways to measure the cumulative impact of experiments

Datadog's blog post outlines methodologies for measuring the cumulative effects of experiments, likely in the context of A/B testing or feature rollouts.