Prompt
Do I need persistent volumes for a Docker app?
Latest observation
Not always.
You need a persistent volume in Docker only if your app must keep data after a container is removed, recreated, or updated.
Use a persistent volume if your app stores:
- databases or other stateful data
- user uploads
- config files that should survive restarts
- logs you want to retain
- caches you don’t want lost between container rebuilds
You usually do not need one if your app is:
- stateless
- can recreate all data on startup
- only serves code/static assets
- fine with losing data when the container is deleted
Common examples
- Need volume: PostgreSQL, MySQL, Redis with persistence, file uploads
- No volume needed: a simple web frontend, API server with no local storage
Rule of thumb
If the data matters and should survive docker rm, docker compose down, image rebuilds, or crashes, use a volume.
If you want, I can help you decide for your specific Docker app.
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.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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