October 2026 Summaries

Coralogix’s migrations team has published benchmark data from more than 300 migrations and onboardings since 2023, covering over 75,000 assets, including a migration of roughly 41,000 alerts. Using an AI-assisted “agentic build” combining large language models, the CX CLI, and reusable migration knowledge, the team reports that conversion and review of 60-widget dashboards now takes under an hour for each measured source, with Splunk reduced from 12 hours to 45 minutes, New Relic from 6 hours to 40 minutes, Datadog from 3 hours to 35 minutes, and Grafana from 1 hour to 35 minutes. The company says elapsed migration time is now more often determined by data onboarding, customer validation, and changing scope than by dashboard conversion, noting a median 3.5-week period to get data flowing and a decline in median dashboard delivery time from 4.0 calendar days in early 2025 to 1.8 days in late 2026. It recommends defining essential dashboards, alerts, and SLOs before decommissioning a prior vendor, validating converted assets before activating alerts, and using migrations as an opportunity to remove unnecessary telemetry and reduce alert fatigue.

Coralogix presents a CLI integration that lets coding agents such as Claude investigate production incidents directly using observability data including logs, metrics, traces, real-user monitoring, and infrastructure information. After installation and authentication, users can ask an agent to identify urgent issues or analyze a specific failure, with the agent correlating telemetry, source code, deployments, configuration changes, and historical data to propose a likely root cause. An example describes checkout failures caused by code that assumed an expired promotional coupon would always return a matching campaign, which the agent could identify and potentially address by drafting a pull request. The approach is intended to reduce manual switching among monitoring views and repetitive context-sharing while retaining engineers’ responsibility to review findings, decide on fixes, and escalate issues to other teams when appropriate.