Datadog — Volume 342, Issue 4

Datadog

Volume 342, Issue 4 · 6 articles

In This Issue

Extend Datadog RUM and Product Analytics to Shopify and Salesforce (datadog, Friday, September 25th, 2026)

Datadog extended RUM and Product Analytics to monitor Shopify checkout journeys and Salesforce Experience Cloud customer experiences. Read more

Cut AI Agent Cost and Improve Accuracy with Code Execution in the Datadog MCP Server (datadog, Tuesday, September 22nd, 2026)

Datadog added a Code Execution toolset to its MCP Server, cutting AI agent tool calls and context use in multisignal investigations. Read more

Understand the Top Paths Users Take to Convert or Drop Off with Journey Paths (datadog, Monday, September 21st, 2026)

Datadog's new Journey Paths feature in Product Analytics shows the top paths users take to convert or drop off between funnel steps. Read more

Using TypeSafe's Jev for Evals in Datadog Agent Observability (datadog, Thursday, September 24th, 2026)

Datadog described wiring TypeSafe's Jev model into online evals on live spans and offline evals in Datadog experiments using one rubric. Read more

Teaching a 9B Model to Investigate Production Alerts (datadog, Wednesday, September 23rd, 2026)

Datadog fine-tuned a 9B-parameter Qwen3.5 model to investigate production alerts, matching most of GLM-5.3's accuracy far more cheaply. Read more

Find Answers in Your Logs Faster with Datadog's Tap to Parse (datadog, Wednesday, September 23rd, 2026)

Datadog's new Tap to Parse feature extracts searchable fields from unstructured logs across Log Explorer and Observability Pipelines. Read more

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