2025 DASH Breakout 1

As platforms scale, so do the challenges of monitoring and incident management. How do you ensure your monitoring strategy evolves with growth? At Toyota Connected, we launched our Telematics Service Platform six years ago. Since then, we've deployed new services, expanded across global regions, and welcomed new team members. Utilizing Toyota's Kaizen philosophy (continuous improvement), we streamlined our monitoring process to keep simplicity at scale. In this session, I'll share the key strategies we've implemented to ensure service reliability. This includes bi-weekly monitor review meetings, resiliency and performance testing through gamedays, and streamlined incident management workflows. Learn how these continuous improvement practices help us catch issues early, reduce mean time to resolution, and empower teams to build with confidence, all while scaling effectively.

What happens when your platform faces 30 times more traffic than usual — and the regular dashboards aren't enough? Twice a year, our e-commerce platform enters a high-stakes period we call "the Archives" — an intense sales event that pushes our systems to their limits. During our most recent edition, we broke all previous records… and hit performance ceilings we had never encountered before. In this talk, I'll share how our team prepared for the unexpected, how Datadog helped us cut through the noise in real time, and how we detected a subtle yet critical issue that could have gone unnoticed — hidden in a storm of data. You'll walk away with concrete ideas on how to monitor for edge cases, design alerts that matter during chaotic traffic spikes, and build resilience for days when "normal" doesn't apply.

Transitioning from a legacy SIEM provider to a new SIEM comes with many challenges, but for MyFitnessPal it was worth the effort. After struggling with administrative challenges, siloed tooling, and noisy false alarms, MyFitnessPal decided to switch to Datadog Cloud SIEM. In this session, Allen Cox will share the journey of the migration and discuss how Datadog addressed their previous pain points. He'll also discuss some of the unexpected benefits of using Cloud SIEM and the impact it's made across MyFitnessPal's engineering organization. You'll learn how Datadog's Cloud SIEM can optimize your security operations and Allen's tips for achieving a seamless migration experience.

Kubernetes cluster administrators are frequently faced with the complaint "My service is broken." But what is broken? Is it the service or the underlying platform? How long will it take to find the root cause? Why wasn’t the platform issue caught before it affected services? In this talk, Jon Winton will discuss how platform administrators can automate user journey testing within Kubernetes platforms, powering Service Level Objectives to identify regression in the system before they affect users. Whether running one or hundreds of Kubernetes clusters, measuring performance with automated testing can lead to more efficient and less buggy platform iteration. Attendees will learn how to execute these tests and surface telemetry around user journeys, allowing platform administrators to monitor the "golden paths" of their platforms.

At Coinbase, maintaining service reliability at scale requires navigating complex service dependencies, pinpointing root causes, and minimizing incident mitigation time—challenges amplified by massive volumes of telemetry data. In this presentation, we’ll explore how Coinbase uses distributed tracing alongside graph analytics in Databricks to build a service dependency graph, and how better understanding service relationships has improved reliability. Designed for SREs, platform engineers, and observability teams, this session will provide insights into enhancing the root cause analysis (RCA) processes and making better use of Datadog telemetry data.

Have you ever found yourself operating a system you aren’t familiar with? Maybe it was written in a really old framework. Maybe it was a language you don’t understand that came through an acquisition. Did you find yourself getting frustrated with slow delivery, integration test overload, duplicate entities, and architectural dead ends? You try everything to understand and improve these old systems, but eventually you realise it’s fruitless. You need to modernise! But where do you even start? This is the situation we found ourselves in at Flipdish in 2023. We were operating with not one, but two monoliths - our original .NET (Framework!) system and a second JavaScript stack inherited through acquisition. This talk shares how we scaled modernisation from a single serverless pilot to a company-wide platform approach. We adopted AWS serverless, embraced event-driven architecture, and built a Golden Path with reusable templates, governance-as-code, and shared tooling to reduce friction. Datadog acted as a key platform partner throughout, giving us visibility across monoliths and our new Domain Services, tracking CI pipelines and cloud costs, and enabling a consistent view across fragmented systems. It helped align teams and accelerate change without sacrificing control. You’ll hear what worked, what didn’t, and what we would approach differently if we started again. This isn’t a polished success story - it’s a practical account of how we’re moving from tightly coupled monoliths to independently owned, event-driven domain services. If you’re modernising a complex system or coordinating change across multiple teams, you’ll leave with clear, tested strategies for maintaining momentum, ensuring visibility, and enabling long-term architectural evolution - without disrupting day-to-day delivery.