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Datadog

7 posts

  1. Understand the top paths users take to convert or drop off with Journey Paths

    Datadog’s Journey Paths visualizes the most common sequences users follow through a defined flow, letting you rank converted vs. dropped‑off paths, spot detours or dead ends, and drill into the underlying user segments with Conversion Analysis, Session Replay, and RUM. It’s a UI‑level feature that augments funnel percentages with concrete path data, but the post offers no implementation details o…

    Datadogdatadoghq.com4 min

  2. Enforce custom rules in Datadog IaC Security scanning

    Datadog now lets you write organization‑specific IaC security checks as Rego policies that run alongside its built‑in rule set. You can author, test, version, and publish custom rules via the UI (or AI‑assisted generation), then see violations in PR comments, IDE extensions, or automation pipelines.

    Datadogdatadoghq.com5 min

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

    Datadog Observability Pipelines now ships pre‑built Microsoft Sentinel Packs that map logs from Palo Alto, Fortinet, Cisco ASA, Cisco Meraki, and ExtraHop into Sentinel’s CommonSecurityLog or Syslog tables. Packs handle field extraction, severity derivation, and device‑action mapping, letting you filter or drop low‑value events before ingest, validate mappings with Live Capture, and reduce per‑GB…

    Datadogdatadoghq.com5 min

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

    Datadog’s Bits Chat adds a natural‑language interface to Slack, letting responders start investigations, get root‑cause analysis, generate code fixes, and close incidents without leaving the channel. The post walks through a sample e‑commerce outage to show the end‑to‑end workflow.

    Datadogdatadoghq.com4 min

  5. Monitor TAS and gang scheduling for AI training in Kubernetes

    Kubernetes’ default scheduler can’t satisfy AI training’s need for low‑latency GPU interconnects and simultaneous pod start‑up. The blog explains how the open‑source Kueue job queue adds topology‑aware placement (using node labels like `topology.kubernetes.io/rack`) and how the Coscheduling plugin adds a permit phase that only binds a gang of pods when the full set is ready, preventing idle GPU r…

    Datadogdatadoghq.com19 min

  6. Manage Cursor costs with Datadog Cloud Cost Management

    Datadog Cloud Cost Management now integrates Cursor AI‑coding usage, exposing per‑user, per‑model, and mode breakdowns, out‑of‑the‑box dashboards, anomaly detection, and budget/monitoring tools so FinOps can track and control AI coding spend alongside other cloud and SaaS costs.

    Datadogdatadoghq.com5 min

  7. How to operate shared platforms safely at agent scale

    Datadog explains how scaling AI agents turns isolated executions into shared‑platform risk and outlines a systematic approach to model agent trajectories, monitor per‑dependency constraints, and enforce workload‑specific capacity policies. The result is proactive detection of bottlenecks and protection against noisy‑neighbor failures.

    Datadogdatadoghq.com11 min