apify-prod-checklist

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Production readiness checklist for Apify Actor deployments. Use when deploying Actors to production, preparing for launch, or validating Actor configuration before going live. Trigger: "apify production", "deploy actor to prod", "apify go-live", "apify launch checklist", "actor production ready".

AI & Automation 2,266 stars 315 forks Updated today MIT

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# Apify Production Checklist ## Overview Complete checklist for deploying Actors to the Apify platform and integrating them into production applications. Covers Actor configuration, scheduling, monitoring, alerting, and rollback. ## Prerequisites - Actor tested locally with `apify run` - `apify login` configured with production token - Familiarity with `apify-core-workflow-a` and `apify-deploy-integration` ## Pre-Deployment Checklist ### Actor Configuration - [ ] `.actor/actor.json` has correct `name`, `title`, `description` - [ ] `INPUT_SCHEMA.json` validates all required inputs - [ ] `Dockerfile` uses pinned base image version (`apify/actor-node:20`, not `latest`) - [ ] `package-lock.json` committed (deterministic installs) - [ ] Memory set appropriately (start at 1024MB, tune after profiling) - [ ] Timeout set with buffer (2x expected runtime) ### Code Quality - [ ] `Actor.main()` wraps entry point (handles init/exit/errors) - [ ] `failedRequestHandler` logs failures without crashing Actor - [ ] Input validation at Actor start (`if (!input?.startUrls) throw ...`) - [ ] No hardcoded URLs, credentials, or magic numbers - [ ] Proxy configured for target sites that block datacenter IPs - [ ] `maxRequestsPerCrawl` set to prevent runaway costs ### Data Output - [ ] Dataset schema documented (consistent field names) - [ ] `SUMMARY` key-value store record saved with run stats - [ ] Large payloads chunked (9MB dataset push limit) - [ ] PII sanitized before storage ## Instr...

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Author
jeremylongshore
Repository
jeremylongshore/claude-code-plugins-plus-skills
Created
7 months ago
Last Updated
today
Language
Python
License
MIT

Integrates with

Anthropic · AI Docker · Infrastructure

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