Datadog Session Replay streamlines the process of identifying and resolving user friction by centralizing session discovery, AI-powered analysis, and cross-team collaboration into …
The July episode of *This Month in Datadog* introduces several new "Bits" AI features, including Bits Release for automated code validation and Bits Chat for interacting with Datad…
The Datadog Runtime Prioritization Engine (RPE) addresses the challenges of managing security in dynamic cloud environments by using live telemetry to automatically identify resour…
This article outlines strategies for implementing effective error handling in React applications by tracking errors at the render, business, and global levels. It emphasizes the im…
To achieve FedRAMP High certification, Datadog had to move beyond its previous proxy-based architecture, which could not sufficiently enforce strict cryptographic boundaries and fa…
To enable cost-effective security monitoring at scale, a new two-stage pipeline uses a small state-space model called Mambark to act as an efficient retriever for massive event str…
Google SecOps packs for Observability Pipelines automate the normalization of diverse security logs into a standardized Unified Data Model (UDM) before they reach Google SecOps. Th…
AI gateways provide a centralized interface for accessing multiple LLM providers through a single API, allowing organizations to efficiently route agentic tasks to the most cost-ef…
Datadog has partnered with Stripe Projects to allow developers to provision observability services directly from the terminal using simple CLI commands. This integration automates …
Datadog recommends using Single Step Instrumentation (SSI) as the default method for distributed tracing because it can deploy across an entire fleet in minutes by injecting tracer…
While traditional Java Flight Recorder (JFR) sampling can be biased and fail to accurately identify CPU-bound hotspots, developers have historically relied on unstable, unsupported…
Following OpenTelemetry’s CNCF graduation, Datadog is expanding its support for OTel-native observability by enabling vendor-neutral data ingestion via standard OTLP exporters and …