У нас вы можете посмотреть бесплатно Meet AI Powered Guided Troubleshooting или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
See how Chronosphere’s AI-powered Guided Troubleshooting takes you from an SLO burn-rate alert to a fix—without leaving your observability platform. Suggestions surface a ranked, evidence-backed starting point, and adapt as you steer the investigation.    What you’ll see in the demo Start from an alert on Checkout, trace issues to the Payment Service, and inspect transparent evidence. Pivot deeper to infrastructure, catch Kubernetes crash events and OOM patterns, and connect them to a recent feature-flag change—reaching root cause fast.   Save the steps so the path becomes reusable knowledge for the next incident.  What powers it Temporal Knowledge Graph unifies metrics, traces, logs, infra context, and human input—including custom/non-standard telemetry—so Suggestions start with complete context. Advanced analytics (Differential Diagnosis, Leaf Errors, Related Alerts) pinpoint the most relevant next step with reasoning you can check. Investigation Notebooks capture steps, evidence, and conclusions—feeding the graph so guidance gets smarter over time. Human-in-the-loop control: AI assists, engineers decide—validate, refine, or dismiss with confidence.  Why it matters Shorter MTTR, less on-call stress, and growing institutional knowledge with every incident.  Learn more: https://chronosphere.io/news/ai-guide... #Observability #SRE #AIOps #Kubernetes