Unified Observability at DraftKings Inc - Reducing Costs and Complexity
Platform Engineering via YouTube
The Private Equity Associate Certification
Build with Azure OpenAI, Copilot Studio & Agentic Frameworks — Microsoft Certified
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Explore DraftKings' strategic approach to unified observability in this 13-minute conference talk that addresses the critical challenges of fragmented monitoring systems in enterprise environments. Learn how DraftKings tackled complex troubleshooting workflows, manual correlation efforts, and high mean time to recovery (MTTR) and mean time to detect (MTTD) across multiple observability tools including Grafana, InfluxDB, ELK, Prometheus, Tempo, New Relic, and DataDog. Discover the company's consolidation strategy using DataDog for backend monitoring and New Relic for frontend visibility, which successfully reduced operational overhead from observability systems that previously consumed 15% of compute costs. Gain insights into creating a single pane of glass for streamlined alerting and automation, while understanding best practices for optimizing observability in complex, multi-tool environments. Understand how to overcome observability challenges introduced by mergers and acquisitions, with practical guidance that focuses on implementation strategies rather than product pitches.
Syllabus
Unified observability at DraftKings Inc: Reducing costs & complexity - Naresh Batthula
Taught by
Platform Engineering