To resolve scaling and credential expiration challenges associated with remote scanning, Datadog migrated its host vulnerability scanning to the existing Datadog Agent. This transi…
Datadog CI/CD Optimization helps teams accelerate software delivery by identifying pipeline bottlenecks and managing flaky tests to improve CI reliability. By utilizing features li…
Datadog’s Observability Pipelines Packs reduce Exabeam ingest and retention costs by filtering out high-volume, non-actionable security log noise before it reaches the SIEM. These …
Using a hypothetical ransomware attack, this article outlines the critical 72-hour timeline a CISO must navigate, progressing from the initial incident response and containment to …
The Datadog integration for Databricks provides end-to-end visibility into analytics, data engineering, and AI/ML workloads by consolidating metrics from clusters, jobs, and model …
This article outlines how to collect and query telemetry data from Databricks and Apache Spark using system tables, the Databricks UI, and various APIs. It details specific methods…
Databricks is a lakehouse platform designed to unify data engineering, analytics, and AI workloads through its integrated control and compute planes. This article outlines essentia…
Datadog is expanding its open-source Supply Chain Firewall into Datadog Code Security, allowing organizations to centrally manage allowlists and blocklists across developer worksta…
Successful data pipeline runs do not guarantee data quality, as "silent" errors like schema drift or upstream changes can produce incorrect results without triggering traditional p…
To overcome the single-machine limitations of Apache DataFusion, Datadog developed "Distributed DataFusion," an open-source Rust framework that enables queries to execute across mu…
Datadog has developed an async-aware Python profiler to address a key limitation in traditional flame graphs, which often lose the logical relationships between `asyncio` tasks by …
Datadog has introduced Real User Monitoring (RUM) and Product Analytics for Shopify and Salesforce to bridge visibility gaps caused by these platforms' restricted frontend runtimes…