Unified observability at DraftKings Inc: Reducing costs & complexity
This session will explore how DraftKings unified its observability toolset, streamlining backend and frontend monitoring while reducing compute costs and improving incident response times amidst challenges posed by mergers and acquisitions.
Naresh Batthula will discuss DraftKings' evolution toward unified observability, addressing the challenges of fragmented troubleshooting workflows, manual correlation efforts, and high mean time to recovery (MTTR) and mean time to detect (MTTD). In response to the complexity of managing various tools like Grafana, InfluxDB, ELK, Prometheus, Tempo, New Relic, and DataDog, DraftKings implemented a strategic consolidation using DataDog for backend monitoring and New Relic for frontend visibility.
Batthula will delve into how the initiative addressed operational overhead, with observability previously consuming 15% of compute costs. The unification led to a single pane of glass for streamlined alerting and automation.
Attendees will learn best practices for optimizing observability in complex, multi-tool environments without relying on product pitches and gain insights on overcoming challenges introduced by mergers and acquisitions.
Batthula will delve into how the initiative addressed operational overhead, with observability previously consuming 15% of compute costs. The unification led to a single pane of glass for streamlined alerting and automation.
Attendees will learn best practices for optimizing observability in complex, multi-tool environments without relying on product pitches and gain insights on overcoming challenges introduced by mergers and acquisitions.
Unified observability at DraftKings Inc: Reducing costs & complexity
This session will explore how DraftKings unified its observability toolset, streamlining backend and frontend monitoring while reducing compute costs and improving incident response times amidst challenges posed by mergers and acquisitions.
Presented by
Panelist
Panelist
Panelist
Moderator
Naresh Batthula
Principal Engineer, DraftKings INC
Naresh Batthula will discuss DraftKings' evolution toward unified observability, addressing the challenges of fragmented troubleshooting workflows, manual correlation efforts, and high mean time to recovery (MTTR) and mean time to detect (MTTD). In response to the complexity of managing various tools like Grafana, InfluxDB, ELK, Prometheus, Tempo, New Relic, and DataDog, DraftKings implemented a strategic consolidation using DataDog for backend monitoring and New Relic for frontend visibility.
Batthula will delve into how the initiative addressed operational overhead, with observability previously consuming 15% of compute costs. The unification led to a single pane of glass for streamlined alerting and automation.
Attendees will learn best practices for optimizing observability in complex, multi-tool environments without relying on product pitches and gain insights on overcoming challenges introduced by mergers and acquisitions.
Batthula will delve into how the initiative addressed operational overhead, with observability previously consuming 15% of compute costs. The unification led to a single pane of glass for streamlined alerting and automation.
Attendees will learn best practices for optimizing observability in complex, multi-tool environments without relying on product pitches and gain insights on overcoming challenges introduced by mergers and acquisitions.
Unified observability at DraftKings Inc: Reducing costs & complexity
This session will explore how DraftKings unified its observability toolset, streamlining backend and frontend monitoring while reducing compute costs and improving incident response times amidst challenges posed by mergers and acquisitions.
Presented by
Naresh Batthula will discuss DraftKings' evolution toward unified observability, addressing the challenges of fragmented troubleshooting workflows, manual correlation efforts, and high mean time to recovery (MTTR) and mean time to detect (MTTD). In response to the complexity of managing various tools like Grafana, InfluxDB, ELK, Prometheus, Tempo, New Relic, and DataDog, DraftKings implemented a strategic consolidation using DataDog for backend monitoring and New Relic for frontend visibility.
Batthula will delve into how the initiative addressed operational overhead, with observability previously consuming 15% of compute costs. The unification led to a single pane of glass for streamlined alerting and automation.
Attendees will learn best practices for optimizing observability in complex, multi-tool environments without relying on product pitches and gain insights on overcoming challenges introduced by mergers and acquisitions.
Batthula will delve into how the initiative addressed operational overhead, with observability previously consuming 15% of compute costs. The unification led to a single pane of glass for streamlined alerting and automation.
Attendees will learn best practices for optimizing observability in complex, multi-tool environments without relying on product pitches and gain insights on overcoming challenges introduced by mergers and acquisitions.
Unified observability at DraftKings Inc: Reducing costs & complexity
This session will explore how DraftKings unified its observability toolset, streamlining backend and frontend monitoring while reducing compute costs and improving incident response times amidst challenges posed by mergers and acquisitions.
Presented by
Panelist
Panelist
Panelist
Host
Naresh Batthula
Principal Engineer, DraftKings INC
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