Distributed Systems for Agentic Workloads — Documentation Index

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Foundations

Core distributed systems concepts adapted for agent systems.

• Causality & Ordering — Happens-before relations, vector clocks
• Consistency Models — Eventual, causal, and strong consistency for agent state
• Agent Failure Modes — Non-determinism, context degradation, token depletion
• Time, Clocks & Synchronization — Clock skew, event-time, timeout detection
• Trust & Byzantine Agents — Verifying agent claims, consensus with untrusted agents
• Zero Trust for Agents — Agent identity, capability policy, delegation chains, OBO tokens

Patterns

Observability

Making agent systems transparent and debuggable.

• Distributed Tracing
• Understanding Model Decisions
• Logging Strategies
• Agent Health Metrics

Predictability

Making agent behavior forecastable.

• Context Window Management
• Behavior Degradation Patterns
• Token Budgeting
• Testing & Validation
• SLOs for Agentic Workloads

Resource Allocation

Fair scheduling and resource management.

• Fair Queuing & Scheduling
• Reservation vs. Burst
• Context Window Allocation
• Priority Queues & Preemption

Failure Recovery

Transactional guarantees for agentic workflows.

• Idempotency & Replay
• Checkpointing Agent State
• Recovery Strategies
• ACID-like Guarantees

Edge+Cloud Deployment

Patterns specific to distributed agent topologies.

• Agent Placement
• Network Partition Handling
• Asynchronous Coordination
• Local vs. Remote Inference
• Edge State Consistency

Integration Patterns

Scaling agents and coordinating workflows.

• Single-Agent at Scale
• Multi-Agent Coordination
• Agent Swarms
• Hierarchical Agent Networks

Case Study

Large-scale AI analytics engine demonstrating all patterns.

• Scenario Overview
• Architecture
• Pattern Application

Examples

Code snippets, configurations, and runnable demos.

Architecture Decision Records

Design decisions and their rationale.