Ce que Datadog a publié en mars 2026

The future ofAIobservabilitystarts here

Datadog announced DASH 2026, its annual conference on June 8–10, highlighting AI-powered observability and security with hands-on workshops, 100+ breakout sessions, and partner showcases. The event ta…

Pricing change detected for Datadoghq

Pricing updated for Datadoghq: - New tier: Infrastructure - Free ($0/ye) - New tier: Infrastructure - Pro ($18/ye) - New tier: Infrastructure - Enterprise ($27/ye) - New tier: DevSecOps - Pro ($27/ye)…

Pricing discovered for Datadoghq

Pricing updated for Datadoghq: - New tier: Code Coverage ($12/ye) - New tier: Log Management - Ingest ($0.10/ye) - New tier: Log Management - Standard Indexing (Custom pricing) - New tier: Log Managem…

Configuring JavaScript caches for better performance

Caching is a critical performance optimization for modern JavaScript applications, directly impacting Core Web Vitals, search visibility, and user experience. This article from Datadog explains how to…

Explore Kubernetes with native OpenTelemetry data

Datadog has announced a Preview of native OpenTelemetry (OTel) support in its Kubernetes Explorer, addressing a critical pain point for teams using OTel in Kubernetes environments. Previously, observa…

Introducing Bits AI Dev Agent for Code Security

Datadog has introduced Bits AI Dev Agent for Code Security, an AI-powered tool integrated into its Code Security platform to automate vulnerability remediation. The agent generates fixes for identifie…

Analyzing round trip query latency

Datadog has introduced a method to analyze roundtrip query latency by correlating Application Performance Monitoring (APM) and Database Monitoring data. This approach enables users to identify perform…

Monitor Nutanix clusters, hosts, and VMs with Datadog

Datadog has introduced a new integration with Nutanix, enabling users to monitor infrastructure health and capacity while correlating performance changes with Prism Central activity. This integration …

Datadog achieves ISO 42001 certification for responsible AI

Datadog has achieved ISO 42001 certification, a globally recognized standard for AI management systems. This certification provides third-party assurance of Datadog’s controls and processes related to…

A new Host Map for modern infrastructure

Datadog has introduced a revamped Host Map feature that provides a real-time, hierarchical visualization of infrastructure components, including hosts, clusters, pods, and containers. This update enab…

Monitor Juniper Mist in Datadog

Datadog has introduced a new integration with Juniper Mist, enabling users to monitor device health, analyze link performance, and track network throughput through a unified platform. This integration…

What's new in Cloud SIEM: AI-powered investigations, enhanced threat intelligence, and scalable security operations

Learn about the latest additions to Cloud SIEM and how they can help you strengthen security engineering and operations.

Monitor Oracle Fusion Cloud Applications with Datadog

Datadog has introduced a new integration for Oracle Fusion Cloud Applications, enabling users to monitor ESS (Enterprise Scheduler Service) job performance, track end-to-end data flows, and analyze us…

Annotate traces to improve LLM quality with Datadog LLM Observability

Datadog introduces a new capability to automate the routing of production traces, enabling consistent labeling and the use of annotations in a repeatable loop for quality improvement. This feature all…

Announcing the Datadog Terraform provider v4.0.0

Datadog has released version 4 of its Terraform provider, introducing significant improvements to monitor governance, AWS integrations, and application key security. The update enhances infrastructure…

Scaling Kubernetes workloads on custom metrics

The article discusses the limitations of relying solely on CPU and memory metrics for Kubernetes workloads, which often fail to reflect actual demand. It introduces custom metrics as a solution to bet…

How to design cloud environments for AI-powered threat analysis

The article discusses the importance of AI-powered threat analysis in cloud environments, emphasizing its role in enhancing security measures. It highlights how traditional security methods struggle t…

Cloud-Scale Monitoring,Minus the Complexity

The webpage promotes Datadog’s monitoring platform, emphasizing its broad capabilities across infrastructure, applications, logs, security, and AI. It highlights over 1,000 pre-built integrations, ena…

Accelerate incident response with Datadog and ServiceNow

Datadog integrates with ServiceNow to accelerate your incident response without creating parallel processes.

Monitor your application and network load balancer logs

Logs from application and network load balancers provide critical visibility into distributed systems for SREs, security teams, and more. Learn how to analyze them and monitor key patterns effectively…

How we centralize and remediate risks with Datadog Case Management

Learn how the Datadog Risk team uses Case Management, Workflow Automation, and LLM Observability to prioritize and remediate risks faster at Datadog.

Monitor Aruba Central in Datadog

Datadog has introduced a new integration with Aruba Central, enabling users to monitor device health, analyze network throughput, and track application usage through a unified platform. This integrati…

AI-Powered Observability and Security

Datadog has released its 2026 State of DevSecOps report, analyzing security posture trends and DevSecOps adoption across thousands of cloud environments. The report highlights the company's focus on b…

Open Source Hub

Datadog has been supporting the Python Software Foundation since 2017, using its platform to monitor PyPI's infrastructure, track downloads, and ensure its health. This collaboration highlights Datado…

Sensitive Data Scanner

Datadog has introduced the Sensitive Data Scanner, a tool designed to help organizations build a comprehensive data security and compliance strategy. This feature allows users to classify sensitive da…

DORA Metrics

Datadog has introduced a new feature to capture DORA metrics without requiring additional instrumentation. This feature aims to help users identify and eliminate bottlenecks in their delivery workflow…

Press releases

The provided content does not contain any specific article or news to summarize. It appears to be a static page with links to various resources such as press releases, media coverage, and analyst repo…

Datadog Mobile App

The Datadog Mobile app allows users to view alerts and investigate issues on their mobile devices. It supports standard, Google, and SAML authentication, with options for QR code or manual entry for l…

Notebooks

Datadog has introduced Notebooks, a collaborative rich text document feature that allows multiple users to work together on investigations, postmortems, runbooks, and documentation. Notebooks integrat…

Engineering

Datadog has published several articles detailing their engineering efforts. The most notable is their detection and resolution of issues from hackerbot-claw, an AI-powered automated attack campaign ta…

AI

Datadog has introduced several advancements in AI-driven systems and tools. The company has developed methods for verifying AI-generated systems at scale using deterministic testing, formal methods, a…

Runtime Code Analysis (IAST)

Datadog has introduced a new feature called Code Security, which focuses on detecting vulnerabilities in production code and prioritizing critical vulnerabilities with observability context. This feat…

What your product data is actually saying

The article discusses best practices for extracting meaningful insights from product analytics data to aid in decision-making. It emphasizes the importance of understanding and utilizing product data …

Tools for collecting metrics and logs from Karpenter

The article provides vendor-agnostic methods to monitor Karpenter, focusing on kubectl spot-checks, Prometheus/Grafana metrics, and logs that explain scaling and consolidation activity. This change af…

Monitor Karpenter with Datadog

Datadog has introduced a new capability to monitor Karpenter, a dynamic node provisioning project for Kubernetes. This feature allows users to visualize and alert on Karpenter's health and performance…

Understanding Karpenter architecture for Kubernetes autoscaling

The article explains the architecture of Karpenter, a tool for provisioning and consolidating cluster capacity in Kubernetes. It introduces key concepts such as NodePools, NodeClasses, and NodeClaims,…

Key metrics for monitoring Karpenter

The article provides a guide to the most critical Karpenter metrics for tracking scheduling latency and cloud provider errors. It focuses on key metrics that help users monitor and optimize their Karp…

Securing Datadog's platform in the AI age: The role of observability data

Datadog is leveraging observability data to enhance system security and resilience, supporting AI-driven threat analysis. This approach allows the company to proactively identify and mitigate potentia…

Security Labs

The Datadog Security Labs blog features several articles on emerging threats and vulnerabilities. Notably, it highlights an active phishing campaign targeting AWS console credentials, which poses a si…

Approaching your observability migration with the right mindset

The article advises treating migration as a redesign rather than a lift and shift. This approach involves rethinking and optimizing the system during the migration process. It affects organizations un…

Four ways engineering teams use the Datadog MCP Server to power AI agents

The Datadog MCP Server connects observability data to AI agents, enabling customers to build automated workflows and solve engineering challenges. This integration allows for more efficient and intell…

Meet the new Bits AI SRE: Deeper reasoning, twice as fast

The latest upgrades to Bits AI SRE include stronger reasoning for root cause analysis, expanded data sources, and new triage and remediation actions. These enhancements aim to improve the efficiency a…

Use plain English to query your multi-cloud infrastructure in Resource Catalog

Learn how natural language querying in Datadog Resource Catalog helps you search cloud resources and answer specialized questions without complex syntax.

Key learnings from the 2026 State of DevSecOps study

The article discusses the key takeaways from Datadog's 2026 State of DevSecOps study. It highlights how Datadog can assist in implementing these findings. The study likely covers trends, challenges, a…

Simplifying troubleshooting across the user journey with Datadog Synthetic Monitoring

Learn how Datadog Synthetic Monitoring uses Test Suites and AI-powered summaries to trace failures back to their origin and reduce noise.

Protect your OCI resources with Datadog Cloud Security

Learn how you can use Datadog Cloud Security to identify and remediate risks in Oracle Cloud Infrastructure environments.

Datadog’s 2026 report on AI engineering in production shows organizations increasingly rely on multi-model, multi-provider LLM fleets, with OpenAI’s share declining but absolute usage rising. Agent fr…