Resources // Observability

Datadog

  • High-value
  • VC-only
Offer Up to $100k credits
Suits for VC-backed
Updated Jun 2026
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The offer

  • A year of free Datadog: up to $100,000 in credits, applied to the entire Datadog platform for your first year ("no watered-down tiers, no hidden limits")
  • Full platform access: infrastructure, APM, logs, security, plus all GA products (and Preview products if space permits)
  • Integrations with the AI-native tools you use (Anthropic, Cursor, OpenAI, Pinecone, Qdrant, Vercel, Weaviate and more)
  • Optional Technical Engagement Manager (TEM) sessions; a customer success rep assigned later in the program
  • Self-serve setup: apply online and start monitoring in an afternoon

> Program runs until the earliest of: credits exhausted, the 12-month anniversary of activation, or removal. After that you are billed at Datadog's then-current self-serve rates.

Who qualifies

  • Series A or earlier
  • Referred by an official Datadog partner (VC, accelerator, hyperscaler, or vendor startup program); direct applications are NOT accepted
  • New to Datadog: cannot be a current or past customer, and no prior Datadog for Startups credits

How to apply: submit the application and spin up a Datadog trial while it is reviewed (≈3-5 business days). If accepted, confirm credit activation within 30 days. Accounts inactive for 3 months are removed from the program.

Community Insights

Datadog for Startups is generous, up to $100k against the full platform for a year, and the product itself is widely respected for observability and DX. The catch the community keeps returning to is cost: pricing is complex, hard to cap, and the “bill shock” lands at scale or right after credits expire. Founders should treat the credits as time-limited runway and model what graduation will actually cost.

Best Practices (from community tips)

  • Treat credits as time-limited runway. Model what your bill becomes at Datadog’s then-current self-serve rates before the program ends, so graduation is not a surprise.
  • Watch custom-metric cardinality. High-cardinality metrics are the classic bill-exploder; it is easy for apps to emit them and blow up cost.
  • Put guardrails on ingestion. Use indexing controls, log sampling and observability pipelines so volume (and spend) stays predictable.
  • Do not enable everything just because credits cover it. Turn on the products you will actually use; each module is a future line item.
  • Apply through your partner. Direct applications are rejected, so go via your VC, accelerator, or hyperscaler startup program.

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