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Monitor AI agents in production. Track tool-call success, runaway loops, cost spikes, and trajectory failures before users notice.
Monitor email deliverability in production. Track DMARC, SPF, DKIM, bounce rates, and sender reputation before campaigns silently fail.
Monitor API rate limits and 429 throttling errors. Track quota usage, retry-after headers, and avoid surprise outages from third-party caps.
Monitor Supabase and Firebase backends in production. Track auth, database, functions, and storage uptime before users hit failures.
Track 5xx server error rates in production. Set alerts on 500, 502, 503 patterns and distinguish app bugs from infrastructure failures.
Monitor vector databases powering RAG and AI features. Track Pinecone, Weaviate, and pgvector uptime, query latency, and index health.
Monitor LLM APIs in production. Track OpenAI, Anthropic, and Gemini uptime, latency, rate limits, and failover so AI features stay reliable.
Design health check endpoints that catch real failures. Learn liveness vs readiness, deep checks, and what to expose to monitors and Kubernetes.
MongoDB fails differently than SQL. Learn to monitor replica sets, sharded clusters, slow queries, and connection pools for production.
High-traffic events expose hidden weaknesses. Learn how to prepare monitoring for Black Friday, product launches, and viral traffic spikes.
Background jobs fail silently. Learn to monitor queues, dead letter queues, latency, and consumers across Sidekiq, BullMQ, RabbitMQ, and SQS.
PCI DSS requires continuous monitoring of payment systems. Learn how monitoring satisfies Requirements 10 and 11 for cardholder data environments.
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