Module 7: Production Patterns

Introduction to Module 7: Production Patterns

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Welcome

You've learned embeddings, RAG, operations. Now: production. Caching, monitoring, error handling, scaling, cost optimization, and fault tolerance are critical for production-ready systems.

In this module you'll master production patterns for embeddings at scale. By the end, you'll be able to deploy robust systems.

Objectives

  1. ✅ Caching: Redis, disk, in-memory strategies
  2. ✅ Monitoring: Metrics, logging, alerting
  3. ✅ Error handling: Retries, circuit breakers, fallbacks
  4. ✅ Scaling: Horizontal, batch processing, queues
  5. ✅ Cost optimization: Budget tracking, rate limiting
  6. ✅ Fault tolerance: Graceful degradation
  7. ✅ Security: API key rotation, data privacy
  8. ✅ Project: Production-Ready RAG System

Roadmap

Phase 1: Resilience (Capsules 01-04)

  • Capsule 01: Introduction
  • Capsule 02: Caching Strategies
  • Capsule 03: Error Handling & Retries
  • Capsule 04: Monitoring & Logging

Phase 2: Scale & Cost (Capsules 05-07)

  • Capsule 05: Scaling Patterns
  • Capsule 06: Cost Optimization
  • Capsule 07: Fault Tolerance

Phase 3: Project (Capsule 08)

  • Capsule 08: Production RAG System

Why production patterns matter

# Dev/MVP:
embedding = get_embedding(text)  # Simple

# Production:
# - What if the API fails?
# - What if there's a rate limit?
# - How do we monitor costs?
# - How do we cache?
# - How do we scale to 1M requests/day?

# You need robust patterns

Main patterns

1. Caching (mandatory):

# Redis cache
# - 80% cache hit rate = 80% savings
# - 5ms latency vs 100ms API

2. Retry logic:

# Exponential backoff
# - 1s, 2s, 4s, 8s
# - Handle transient failures

3. Monitoring:

# Metrics:
# - Latency (p50, p95, p99)
# - Error rate
# - Cost per day
# - Cache hit rate

4. Circuit breaker:

# If OpenAI goes down:
# - Switch to a local model (SBERT)
# - Graceful degradation

Theory/practice balance (20/80)

Theory (20%):

  • Conceptual patterns
  • Trade-offs
  • Best practices

Practice (80%):

  • Production-ready code
  • Redis caching
  • Monitoring setup
  • Complete project

In the next capsule

Capsule 02: Caching Strategies

You'll learn Redis caching, disk cache, in-memory, and TTL strategies.

Module 7 - Embeddings Deep Dive Guide Production Patterns: from MVP to scale

← PreviousMini-Project: Semantic Explorer ToolNext →Caching Strategies