- 3 min read

North now supports full visibility for Datadog

Narayan Aier
Inside the North app, showing Datadog integration next to Anthropic and Snowflake.

Datadog joins North's native integrations library, so your monitoring spend sits right next to your cloud and AI spend.

Most teams watch their cloud bill closely. The tools that keep that infrastructure running smoothly, however, get far less scrutiny.

Datadog is part of the cost of running your infrastructure and applications, the same as compute or storage. Bringing that spend together with cloud and AI costs makes it easier to review the total and understand how it changes over time.

Today, you can review Datadog cost and usage alongside your cloud and AI spend inside North.

Bringing your monitoring spend into the same view as cloud spend

Datadog spend gets reviewed by the team that manages it, on its own invoice cycle. What rarely happens is that spend becoming part of a broader conversation, compared against cloud spend, questioned by finance, or weighed against the infrastructure it's meant to monitor.

The reality is that the tool watching your infrastructure spend adds its own cost on top of it, and that cost rarely gets factored in.

That gap creates real blind spots:

  • A platform team's Datadog usage grows month over month, and without an owner tracking that trend, nobody catches it until the bill is already high.
  • Finance sees a line item on an invoice, with no way to tell which team or service is driving it.
  • Engineering leadership has no easy way to compare monitoring spend against the infrastructure it's monitoring, so there's no way to judge if the ratio makes sense.

With Datadog in North, you get a full view of what that spend is actually costing you, next to cloud and AI costs. That opens the door to a shared basis for reviewing costs and deciding where to investigate, such as renegotiating a contract, investigating increases in custom-metric or log costs, or simply asking whether spend is trending the way it should. North gives you the visibility to make that case, and act on it.

What you get with Datadog inside North

Datadog is now live in CostLoops, North's integrations library for third-party cost data, joining Snowflake, OpenAI, and Anthropic.

Once connected, Datadog data works across North the same way your cloud data already does:

  • Visibility: Query Datadog costs directly, alongside Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure, and split by service and usage type to see exactly where spend is coming from.
  • Streams: Allocate Datadog spend to business units without setting up tags first. Split by service and usage type, along with the other dimensions already available in Streams, and roll it into showback statements alongside your cloud spend.
  • Noros: Ask plain-language questions about Datadog spend and get an answer in the same place you'd ask about cloud spend.

Datadog spend broken down by usage and service inside North's Coststreams.

Datadog spend broken down by usage and service inside North's Coststreams.

Connecting Datadog takes under five minutes.

What's next

Datadog is our fourth CostLoops integration, and it won't be the last. We're continuing to add the infrastructure and AI providers where cost hides outside the usual cloud bill, so more of your stack lands in one shared view.

If you're a North customer, explore CostLoops inside the North app to connect Datadog and see your monitoring spend alongside cloud and AI costs.

North's free tier already includes full visibility into Datadog, cloud spend, and every other CostLoops integration. Get started with North's free tier to see what full-stack visibility looks like for your team.


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