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GUIDE teknik
Canary ak lëndëm
Canary deployment serves a new version to a limited share of live traffic; shadow deployment mirrors requests to a candidate while users continue receiving the current system’s response.
Déglul tegtal biiIA-nettali · ~1 min
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A canary exposes a candidate to a controlled portion of real traffic and can measure effects on users. A shadow deployment sends copies of production inputs to a candidate for comparison but normally keeps the current model’s response in the live path. Shadowing can avoid exposing users to candidate outputs, yet consumes compute and may copy sensitive data. Neither deployment method alone proves causal improvement; define metrics, traffic assignment, and stop conditions.
Doxal ci àdduna dëgg
Route a small, predeclared traffic segment to a canary and compare guardrails.
Mirror requests to a shadow model while discarding its response from user delivery.
Check privacy, load, and data-handling implications before mirroring.
Define rollback and promotion criteria before rollout.
Ëlëgu jëfandikoo Canary ak Shadow
Progressive delivery can combine shadow evaluation with a canary, but policies and statistical thresholds must be designed for the application. Avoid universal rollout percentages or durations.
Teg ko ci jëf
Lu tax mu am solo
- Njëgg ak budget. Dogal yi architecture di jël dañuy indi njariñ ak njëgu liggéey bi ay at ci ginaaw.
- dogal yu gëna leer. Njàngalem xarala yi dafay jàppale ekip yi ñu tànn li gën, te baña yam ci li gëna bees daal.
- Xool kalite. Tanneef yu gëna baax ci wàllu ingeñër dina wàññi jafe-jafe yi ci wàllu wóor ci liggéey bi.
Moytul
- Optimize benn benchmark mën na nëbb ñakk kattan yu gëna yaatu ci sistem bi.
- Njëg li ñuy fay ci infrastructure yi ak ci toppatoo dañuy faral di suufeel.
- Bu sistem yi di gëna xawa jafee xam, jafe-jafe yi am ci wàllu kaaraange ak seetlu mën nañu gëna bari.
Jéego yi ci topp
- Mandargal latency, kalite, ak njëg yi laata ngay jëfandikoo.
- Benchmark ci biir sargal ak done yu dëggu.
- Jumtukaay bi di saytu njuumte yi, derive bi ak njeextalu jëfandikukat bi.
- Waajal rollback ak yooni tontu ci jafe-jafe yi laata ngay eskale.
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Nattal sa bopp
Take the Canary and Shadow Deployments quiz
Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.
Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax
Laaj yi ñuy faral di laaj
What is Canary and Shadow Deployments?
Canary deployment serves a new version to a limited share of live traffic; shadow deployment mirrors requests to a candidate while users continue receiving the current system’s response.
Luy tekki jëfandikoo kanari?
Canary dafay wane ab wàll bu ndaw ci jëfandikukat dëgg yi ci version bu bees bi suko defee jafe-jafe yi jàpp ci rayon blast bu gàtt balaa ñuy génne lépp.
Lan mooy màndarga bi gëna am solo ci dugal lëndëm?
Modèle shadow dafay jëfandikoo ab kopi bu laaj dëgg, waaye ay génnam duñu musa yegg ci jëfandikukat yi - dañu leen di dugal ci log bi ba noppi ñu méngale leen.
What does a shadow deployment protect users from, and what can it still cost?
Shadow responses are discarded, but duplicate inference, data handling, or unintended side effects still need controls.
How does user-facing traffic differ between a canary and a shadow?
A canary serves the candidate to a defined segment; a shadow compares without serving its candidate response.
What should a team define before starting a canary or shadow rollout?
The guide recommends defining routing rules, metric thresholds, sample duration, and rollback ownership before rollout.
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