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Case study · Financial services · Datadog HyperCare

From a fast Datadog rollout to a new AI product on Azure

An insurance technology provider now runs Datadog across its Azure estate, has new AI infrastructure built as code, and a clear design for its next platform.

At a glance
140+
Azure web services on Datadog
3
projects, one engineering partner
One
phased design for the new platform
Insurance technologyUK and Isle of ManMicrosoft AzureDatadogAIDatadog HyperCareAzure design and build
01
The challenge

The challenge

Growing software teams are often asked to adopt new tools, build new products and modernise their platform at once, without in-house cloud specialists. This insurance technology provider had chosen Datadog to replace its previous monitoring, was building a new AI product on Azure, and planned to rebuild its core platform on containers. It chose one engineering partner for all three, starting with the Datadog rollout.

02
What we did

What we did

  • Rolled Datadog out across the Azure estate, with automated onboarding and consistent tagging so every service reports the same way.
  • Gave the application support team a live service status dashboard and alerts, then handed over with a runbook and training.
  • Built the Azure infrastructure for the new AI product in sprints alongside the customer's engineers, defined as code with automated pipelines and monitoring built in.
  • Advised on the new platform's architecture and produced a phased infrastructure design.
03
The outcome

The outcome

  • Datadog in use across more than 140 Azure web services, replacing the previous monitoring.
  • AI infrastructure built as code and monitored from the start.
  • An approach the team plans to reuse: the AI build proved infrastructure as code and automated pipelines were the way forward for the new platform.
  • A clear, phased platform design built on industry practice rather than home-grown workarounds.

This case study is anonymised, so the customer is not named.

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