Datadog

Volume 342, Issue 5 · 6 articles

In This Issue

• Monitor Databricks with Datadog
• The First 72 Hours of a Ransomware Attack: Why Restored Isn't Recovered
• How We Extended Apache DataFusion to Execute One Query Across Many Machines
• Databricks' Native Monitoring Resources
• Monitor Warehouse Data Quality Beyond Pipeline Health
• Block Malicious Packages Across Your Organization with Supply Chain Firewall and Code Security

Monitor Databricks with Datadog (Datadog, Friday, October 2nd, 2026)

Datadog shows how its Databricks integration monitors jobs, clusters, data quality, Model Serving endpoints and costs in one place. Read more

The First 72 Hours of a Ransomware Attack: Why Restored Isn't Recovered (Datadog, Friday, October 2nd, 2026)

Datadog walks through a ransomware attack's first 72 hours and why restoring servers differs from recovering the business. Read more

How We Extended Apache DataFusion to Execute One Query Across Many Machines (Datadog, Thursday, October 1st, 2026)

Datadog engineers explain Distributed DataFusion, an open-source framework that scales Apache DataFusion queries across machines. Read more

Databricks' Native Monitoring Resources (Datadog, Friday, October 2nd, 2026)

Datadog explains how to collect Databricks and Spark telemetry using system tables, the Spark UI, job notifications and the REST API. Read more

Monitor Warehouse Data Quality Beyond Pipeline Health (Datadog, Thursday, October 1st, 2026)

Datadog explains why successful pipeline runs don't guarantee good data and how to monitor warehouse data quality at rest. Read more

Block Malicious Packages Across Your Organization with Supply Chain Firewall and Code Security (Datadog, Thursday, October 1st, 2026)

Datadog Code Security now manages its open-source Supply Chain Firewall centrally, with allowlists, blocklists and a CI GitHub action. Read more

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