Prompt
What would you use for logs if engineers and support both need access but with different permissions?
Latest observation
I’d usually use a centralized log platform with role-based access control (RBAC).
Best fit
Use something like:
- Datadog Logs
- Splunk
- Elastic / OpenSearch
- Cloud-native logging like CloudWatch, GCP Cloud Logging, or Azure Monitor
These let you:
- give engineers broader access for debugging and querying
- give support more limited access, such as:
- read-only access
- access only to specific environments or applications
- access to redacted/sanitized fields
- prebuilt dashboards/searches instead of raw log access
Good practice
If support doesn’t need full raw logs, a better pattern is:
- engineers: full log access
- support: filtered views, dashboards, or case-based access
- sensitive fields: masked before logs are stored
If you want a simple recommendation
- Small/medium org: Datadog or CloudWatch with RBAC
- Large/complex org: Splunk or Elastic/OpenSearch with strict access controls
If you want, I can also suggest the best option based on your stack and whether this is for SaaS, on-prem, or cloud.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
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