Extend Datadog RUM and Product Analytics to Shopify and Salesforce
From the source: Datadog BlogUse Datadog RUM and Product Analytics to monitor checkout journeys on Shopify and customer experiences in Salesforce Experience Cloud.
Read the full story on Datadog BlogHave you worked with this?
The story is what was announced. Nobody has discussed it yet, so if it touches your team, a short post about what you’ve seen helps the next reader.
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Using TypeSafe’s Jev for evals in Datadog Agent Observability
See how we wired Jev into online evals on live spans and offline evals inside Datadog experiments, using a single rubric for both.
Teaching a 9B model to investigate production alerts
Learn how we fine-tuned Qwen3.5-9B into a specialized agent for change attribution that achieved 87% of GLM-5.3’s Recall@5 roughly 5% of the investigation cost.
Find answers in your logs faster with Datadog’s Tap to Parse
Use Datadog’s Tap to Parse feature to extract searchable fields from unstructured logs across Log Explorer, Log Pipelines, and Observability Pipelines.
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DevRel newsletter — September 2026
Hello from the Elastic DevRel team! In this newsletter, we cover jina-ocr-v1, the latest blogs and videos, and upcoming events like Elastic{ON}.
What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior
At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can reason about instead of hope for. That instinct led us somewhere unexpectedly useful. It turns out one of the oldest ideas in reliability engineering, the error budget, maps…
Cribl Stream and Databricks: A faster path to analytics-ready telemetry
The new Databricks Zerobus Destination for Cribl Stream helps organizations move analytics-ready telemetry into Delta Tables with fewer moving parts, less latency, and more control.
Trust, but verify: Atomic claim checking against LLM hallucinations
Hallucinations kept an LLM out of our knowledge base cleanup for years. Splitting generation from atomic claim verification fixed it and cleared a four-year backlog of duplicate articles.



