Case Study: Neto achieves resilient, scalable observability with Datadog

A Datadog Case Study

Preview of the neto Case Study

E-Commerce Platform Increases Resilience at Scale with Datadog and AWS

Neto, a retail management platform that powers web stores, POS, inventory and fulfillment for retailers, was constrained by a legacy VM-based infrastructure that was slow to scale, error-prone and required manual, time-consuming prep for high-traffic events. Their existing monitoring tools couldn’t provide real-time, platform-wide visibility across ephemeral cloud components, risking customer experience as they prepared to migrate to AWS.

Neto moved to AWS, adopted infrastructure-as-code, and deployed Datadog agents (baked into a golden image and provisioned via Terraform) to provide unified monitoring across legacy and cloud environments. This delivered continuous visibility through an 18-month migration, reduced mean time to detection, automated monitoring that scales with infrastructure, lower operational overhead, and a more resilient, highly available platform.


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neto

Justin Hennessy

Vice President of Engineering


Datadog

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