Plan load shedding and admission
Prompt that plans admission and load shedding so core paths answer under overload. Paste it into an AI tool of your choice, which then plans load shedding and admission.
- Topic
- Apps & prototypes
- Type
- Prompt
- Level
- Intermediate
- Time
- about 15 min
Results depend on the tool, the model and what you enter.
Result preview
Example: written by our editors, not real AI output.
API p99 2.1 s, errors 8 % Today: autoscaling only Core: /checkout, /login Admission: max 200 inflight, queue 100 Beyond: 503 + Retry-After 5 s for /search Checkout stays preferred Rollout: load test, feature flag 10 %
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- public API
- checkout
- search service
- admin UI
- mixed
- autoscaling only
- timeouts
- manual throttle
- not at all
- unclear
- login and payment
- read paths
- write paths
- background later
- mixed
Your prompt
You have edited the prompt. Changes in the fields above no longer overwrite it.
This is an instruction for an AI, not the result itself.
Where this prompt works
These AI tools are a good fit for this prompt:
How to use it
- Fill in the fields or tap a suggestion. Leave out names, addresses and other personal data.
- Copy the finished prompt into an AI tool of your choice.
- Paste capacity numbers, endpoint list and past overload incidents, without secrets.
Why does this work?
Without admission, timeouts and retries take the last workers. Targeted shedding keeps the core path responsive.
Tips
- Test rejection first with synthetic load and a clear user message.