Introducing Coralogix Product Analytics
Coralogix Real User Monitoring has spent years collecting full-fidelity user sessions: every session and event processed in stream, without sampling and without prior indexing, at rest in cloud object storage you own. Today that data does a second job. Product Analytics brings heatmaps, funnels, and pathways to the RUM sessions you already send, with no […] The post Introducing Coralogix Product…
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Automate Product Analytics reports with your agent and the CX CLI
Every page view, click, and session your RUM SDK captures lands in Coralogix as a log event under the cx_rum subsystem, the raw data behind how people actually use your product. You can turn it into a shareable report without writing a single query. Just ask your coding agent. Your agent queries that data […] The post Automate Product Analytics reports with your agent and the CX CLI appeared…
Loop Engineering Guardrails for iGaming with Claude Code and CX CLI
A guardrail is a policy that sits between the user and the model, scoring every prompt and response against rules the business has written and blocking the ones that break them. For an agent the stakes are higher than a bad answer, because an agent holds tools: the same prompt that would produce an awkward […] The post Loop Engineering Guardrails for iGaming with Claude Code and CX CLI appeared…
How iGaming operators connect revenue metrics to the operational telemetry
Global iGaming gross gaming revenue reached $115 billion in 2026, twelve percent up on the year before. A growing number of iGaming operators run on Coralogix, and what they use it for has moved well past uptime. Soft2Bet powers ninety percent of its internal dashboards from Coralogix and treats it as the single source of […] The post How iGaming operators connect revenue metrics to the…
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Use Datadog RUM and Product Analytics to monitor checkout journeys on Shopify and customer experiences in Salesforce Experience Cloud.
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…