How to Handle 5x Traffic Spikes Without Crashing Your Monitoring

Description

Struggling with slow dashboards, query timeouts, or alert floods during traffic spikes? When your systems are under pressure, your observability stack becomes mission-critical, and if it fails, you’re flying blind. In this webinar, OpenObserve’s Head of Engineering (Ashish Kolhe) and Founding Engineer (Hengfei Yang) break down how to scale observability infrastructure to handle high-load environments without losing visibility or control. ▬▬▬ What You’ll Learn ▬▬▬ • Handle traffic spikes (5x+) without crashing your monitoring system • Fix slow queries, dashboard lag, and ingestion bottlenecks • Optimize performance with indexing, partitioning, and caching strategies • Prevent alert storms and isolate background workloads • Scale your cluster efficiently with resource tuning and workload management • Minimize data loss risks and understand failure scenarios • Monitor your observability platform itself using built-in metrics, tracing, and control planes • Use query recommendations and schema design to improve performance This session also includes live demos inside OpenObserve, showing exactly how to apply these techniques in real-world scenarios. ▬▬▬ 🔗 Resources ▬▬▬ 🎓 Register for upcoming webinars: https://openobserve.ai/webinars-videos/ 🚀 OpenObserve documentation: https://openobserve.ai/docs/getting-started/ 👨‍💻 Try OpenObserve for free: https://cloud.openobserve.ai/web/login 💬 Join the community: https://openobserve-community.slack.com/