The Customer Pack Salon - Lunch & Learn, Stockholm

Every organization’s journey to the cloud starts with a “Why,” but the real story lies in the “How.” In this session, Trustly will take you through their journey from fragmented legacy monitoring to a unified observability stack and can-do-everything platform.

We will walk through the tactical stages of the migration, moving from old systems to Datadog, while diving deep into the hurdles they faced along the way.

Join Emil Wester, Head of SRE at Optimizely, as he shares their observability journey with Datadog, from early adoption to scaling across a fast-growing, multi-cloud organization.

As an M&A-driven company, Optimizely needed a platform that could evolve alongside constant change. In this session we will highlight key technical wins, architectural shifts, and lessons learned while expanding the Datadog footprint to support performance, reliability, and scale.

A practical, engineer-focused session on what it really takes to grow with observability.

As AI workloads grow, cloud environments become more complex. When observability, security, and cost data live in separate tools, teams lose visibility, costs rise, and AI initiatives slow down.

In this session, we share how a large enterprise retailer consolidated multiple tools onto the Datadog platform to support AI and other business critical initiatives. By bringing end-to-end observability and security into a single platform, teams gained a shared view of performance, risk and cost across all telemetry. Engineering and finance worked from the same data, shifting from after-the-fact cost reporting to proactive optimisation. The result: better cost control, faster delivery, and the confidence to scale AI without losing control.