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Tuesday, March 3rd
11 am ET
You're not the only one who feels like your on-call rotations are fragile, alerts are loud, and incidents take longer than they should, even in dev and QA.
Two practicing SREs talk about what's wrong with modern incident response in this live session. They talk about alert noise, brittle routing rules, disconnected tools, and on-call schedules that fall apart as soon as someone leaves the team.
Key Takeaways:
- Fewer alerts lead to faster resolution - Reducing alert noise and focusing on actionable signals improves response speed and helps teams identify real issues more quickly.
- Clear ownership matters more than more tooling - Well-defined responsibility and escalation paths reduce confusion and delays during incidents, even in complex environments.
- Incident response needs to work beyond production - Applying the same discipline to dev and QA incidents improves release velocity, quality, and overall system reliability.
- Streamlined incident workflows shorten MTTR - Reducing fragmentation across tools leads to faster, more predictable incident resolution.
- Small changes can significantly improve on-call health - Incremental improvements to alerting, routing, and workflows can reduce burnout without adding heavy process or overhead.
Register Below:
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Nandini Bhatt
DevOps Engineer | SRE-II - Xurrent
Nandini Bhatt is a DevOps and Site Reliability Engineering professional with hands-on experience improving reliability, alerting, and incident response in complex environments. She is currently an SRE II at Xurrent, where she focuses on reducing alert noise, strengthening on-call workflows, and improving MTTR.
Previously, Nandini worked with large enterprise organizations at PwC and EY, helping teams adopt practical DevOps and reliability practices. She brings a practitioner’s perspective to incident response, observability, and operational resilience.
Bryan Patton
Director, Site Reliability & TechOps - Xurrent
Bryan Patton is Director of Site Reliability and TechOps at Xurrent, where he leads global reliability engineering, operational excellence including architecture and performance monitoring, and incident response practices for modern cloud environments. Bryan previously directed a high-performance ecosystem engineered to handle massive surges in real-time sports data, consistently managing traffic loads exceeding millions of requests per second. He oversaw the scaling of cloud-native systems and low-latency databases to ensure 99.9% uptime during peak global sporting events, where millisecond-level precision is critical for user engagement. By implementing robust automated scaling protocols and optimizing distributed cache layers, they successfully balanced extreme throughput with system resilience and cost-efficiency in a high-stakes, data-intensive environment.