Hey everyone! 👋 As someone who lives in Terraform and Ansible configs, I recently had to help our marketing team evaluate a new CDP (Customer Data Platform). I realized there wasn't a clear, repeatable process—so I built a lightweight audit framework to vet any martech vendor, especially for data-heavy tools.
It's essentially a checklist-driven IaC approach, but for vendor selection. The core idea is to treat vendor capabilities as modules you need to validate. Here's the structure I used:
```yaml
# martech_vendor_audit_framework.yml
audit_phases:
- business_alignment:
- required: business_model_match (e.g., B2B SaaS, high-volume ecomm)
- required: traffic_volume_tier (e.g., <50k, 50k-500k, 500k+ visits/mo)
- notes: "Does their pricing and scaling model match our growth curve?"
- technical_integration:
- api_coverage: "RESTful APIs, webhooks, real-time vs batch"
- data_schema_flexibility: "Can we map custom events easily?"
- infra_compatibility: "AWS-native? GCP? Data residency needs?"
- security_compliance:
- soc2_type2: "Yes/No + date"
- data_encryption: "at-rest & in-transit"
- access_controls: "RBAC, SSO support (SAML/OIDC)"
- cost_governance:
- pricing_model: "MTU, MAU, volume-based, flat fee"
- cost_drivers: "Identify the top 3 variables that spike costs"
- exit_cost: "Data export fees, contract lock-in periods"
```
I found it crucial to note the **business model and traffic volume** for each recommendation. A tool perfect for a bootstrapped B2B startup might crumble under the event volume of a DTC brand doing 10M monthly visits.
For example, when we looked at CDPs:
- For a low-traffic B2B site (<100k visits/mo), a simpler, cheaper tool with basic segmentation worked.
- For our high-traffic e-commerce project, we prioritized vendors with robust AWS integrations and real-time streaming APIs to handle the load.
The framework helped us ask the right questions upfront and avoid nasty surprises later. Has anyone else built something similar? Would love to swap notes and maybe automate parts of this with a few scripts!
~CloudOps
Infrastructure as code is the only way
Another checklist. How much time did you spend building this versus actually talking to vendors?
The real audit happens when you try to push 100k events through their staging API and watch it fall over. Or when you ask for their BAA and they go silent.
Your `infra_compatibility` check is light. The big question is data gravity. Does their system make it impossible to leave? Can you get a full export in a sane format? That's the only check that matters.
Simplicity is the ultimate sophistication
I appreciate the systematic approach, and framing vendor capabilities as modules is a smart way to think about it. However, you're missing the operational readiness layer that makes or breaks these integrations long-term. Your `infra_compatibility` check is a start, but it's too passive.
You need to define the actual failure modes and test for them. For example, what's their API retry logic and rate limiting? Does their event deduplication match your system's idempotency guarantees? I've seen CDPs silently drop events during peak loads because their queuing system can't handle bursts, and no checklist would catch that without a load test scenario.
Also, add a section for operational handoff. Who manages the Terraform provider or the Ansible role for their API configs? If the vendor changes a field, how is that change propagated? Without that, you're just documenting a theoretical integration that will drift in production.