Day 113: Implementing Tiered Storage for Log Data Working Code Demo:

Today’s Build Agenda

You’ll implement an intelligent tiered storage system that automatically moves log data across four storage tiers based on age, access patterns, and cost optimization. This enterprise-grade feature reduces storage costs by 60-80% while maintaining query performance.

What We’re Building:

• Hot Tier: Recent logs (0-7 days) on high-performance SSD storage

• Warm Tier: Moderately accessed logs (7-30 days) on standard storage

• Cold Tier: Rarely accessed logs (30-365 days) on low-cost storage

• Archive Tier: Long-term retention logs (365+ days) on tape/glacier storage

Core Concepts: Intelligent Data Lifecycle Management

Tiered storage transforms static data storage into a dynamic, cost-aware system. Instead of keeping all logs on expensive high-performance storage, data automatically migrates based on access patterns and business rules.

Key Design Principles:

• Performance Degradation Acceptance: Newer logs need millisecond access, older logs can tolerate seconds

• Cost Optimization: Storage costs decrease by 90% from hot to archive tiers

• Transparent Migration: Applications continue working without knowing data location

• Policy-Driven Movement: Business rules, not technical constraints, drive data movement

Real-world impact: Netflix saves millions annually by moving viewing logs from expensive NVMe storage to glacier archives after 90 days, while keeping recent data hot for recommendation algorithms.

Context in Distributed Systems

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Tiered storage sits at the intersection of storage management, cost optimization, and performance engineering. In distributed log processing, it enables horizontal scaling without linear cost increases.

System Integration Points:

• Query Router: Determines which tier contains requested data

• Storage Controller: Manages data movement between tiers

• Metadata Index: Tracks data location and access patterns

• Policy Engine: Evaluates migration rules and schedules transfers

Your tiered storage integrates with previous components: authentication (Day 112) ensures only authorized users access archived data, while upcoming lifecycle policies (Day 114) will define retention rules across tiers.

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