Datadog | The Monitor blog

Datadog achieves GovRAMP High authorization

Datadog has achieved GovRAMP High authorization, reinforcing its ability to provide secure, unified observability and security for state, local, tribal, territorial, and education …

Preparing for OMB M-26-14: How Datadog supports federal logging maturity

OMB Memorandum M-26-14 introduces a new risk-based cybersecurity framework for the federal government, shifting from prescriptive logging requirements to a maturity-based model foc…

Reduce CDN log costs with searchable archives

Datadog’s Observability Pipelines and Archive Search solve the costly dilemma of managing high-volume CDN logs by routing raw data to low-cost storage while forwarding critical sig…

How we saved over $3 million in idle compute costs with Datadog Kubernetes Autoscaling

Datadog developed Datadog Kubernetes Autoscaling (DKA) to automate multidimensional workload scaling and provide intelligent resource recommendations, addressing the trade-off betw…

Automatically enrich security logs with MITRE ATT&CK context before they reach your SIEM

Observability Pipelines' new MITRE ATT&CK Enrichment Packs solve the challenge of fragmented security telemetry by automatically mapping diverse vendor logs to a standardized frame…

How to migrate feature flags without breaking production

Feature flag migrations can be executed safely by replacing high-risk, large-scale cutovers with an incremental approach that allows two systems to run in parallel. By redirecting …

How we migrated a live routing system using AI-assisted refactoring

To overcome scaling limits caused by an inadequate key-value storage model, Datadog redesigned its Stream Router architecture using a relational schema to better manage complex dat…

Using Evaluation Frameworks with Agent Observability

Datadog Agent Observability enables AI teams to operationalize LLM evaluations by natively supporting existing open-source frameworks, such as DeepEval and Pydantic Evals, within i…

Store and search high-volume logs with ClickHouse and Datadog

Datadog and ClickHouse have introduced a new integration that allows users to route high-volume logs to ClickHouse via Observability Pipelines for cost-efficient storage and proces…

Autonomously monitor for impactful degradations with Bits Detection

Bits Detection is an automated Datadog feature designed to combat "coverage drift" by continuously creating, tuning, and maintaining monitors as software services evolve. By levera…

Securing the AI era: Outpace AI-powered attacks with unified security and observability

Datadog has introduced new security features, such as the Runtime Prioritization Engine and AI Guard, to combat the increasing speed and complexity of AI-driven cyberattacks. By in…

Infinite Cardinality Metrics: Custom metrics built for modern systems

Datadog has launched "Infinite Cardinality Metrics," a new feature designed to allow engineers to capture highly dimensional data without the unpredictable costs typically associat…