Akka and Distributed Systems

8.

8.1.

Cluster Architecture

8.1.1.

Peer-to-Peer Design

8.1.1.1.

No Single Point of Failure

8.1.1.2.

Decentralized Coordination

8.1.1.3.

Symmetric Node Roles

8.1.2.

Cluster Formation

8.1.2.1.

Bootstrap Process

8.1.2.2.

Seed Node Configuration

8.1.2.3.

Join Procedures

8.2.

Cluster Membership

8.2.1.

Node Lifecycle States

8.2.1.1.

8.2.1.2.

8.2.1.3.

8.2.1.4.

8.2.1.5.

8.2.1.6.

8.2.2.

Membership Management

8.2.2.1.

Member Registration

8.2.2.2.

8.2.2.3.

8.2.3.

Gossip Protocol

8.2.3.1.

State Dissemination

8.2.3.2.

Convergence Mechanisms

8.2.3.3.

Failure Detection

8.2.3.4.

Network Efficiency

8.2.4.

Unreachability Detection

8.2.4.1.

Phi Accrual Failure Detector

8.2.4.2.

Heartbeat Mechanisms

8.2.4.3.

Network Partition Handling

8.3.

Cluster Roles and Responsibilities

8.3.1.

Role Assignment

8.3.1.1.

Static Role Configuration

8.3.1.2.

Dynamic Role Management

8.3.1.3.

Role-Based Routing

8.3.2.

Role-Specific Behaviors

8.3.3.

Multi-Role Nodes

8.4.

Location Transparency

8.4.1.

Remote Actor References

8.4.2.

Transparent Message Routing

8.4.3.

Network Address Translation

8.4.4.

Cluster-Aware Routers

8.5.

Cluster Singleton

8.5.1.

Singleton Manager

8.5.1.1.

Leader Election

8.5.1.2.

Singleton Lifecycle

8.5.1.3.

Failover Mechanisms

8.5.2.

Singleton Proxy

8.5.2.1.

Message Forwarding

8.5.2.2.

Transparent Access

8.5.3.

8.5.3.1.

Cluster Coordination

8.5.3.2.

Resource Management

8.5.3.3.

Global State Management

8.6.

Cluster Sharding

8.6.1.

Sharding Concepts

8.6.1.1.

Entity Distribution

8.6.1.2.

Horizontal Scaling

8.6.1.3.

State Partitioning

8.6.2.

Core Components

8.6.2.1.

8.6.2.2.

Shard Coordinator

8.6.2.3.

8.6.3.

Sharding Strategy

8.6.3.1.

Entity ID Extraction

8.6.3.2.

Shard ID Calculation

8.6.3.3.

Custom Sharding Logic

8.6.4.

Shard Management

8.6.4.1.

Shard Allocation

8.6.4.2.

Rebalancing Strategies

8.6.4.3.

Entity Passivation

8.6.5.

Persistence Integration

8.7.

Split Brain Resolution

8.7.1.

Split Brain Scenarios

8.7.1.1.

Network Partition Causes

8.7.1.2.

Data Consistency Issues

8.7.1.3.

Service Availability Impact

8.7.2.

Detection Mechanisms

8.7.3.

Resolution Strategies

8.7.3.1.

8.7.3.2.

8.7.3.3.

8.7.3.4.

Custom Strategies

8.7.4.

Downing Providers

8.8.

Distributed Data

8.8.1.

CRDT Fundamentals

8.8.1.1.

Conflict-Free Replication

8.8.1.2.

Convergence Guarantees

8.8.1.3.

Commutativity Properties

8.8.2.

CRDT Types in Akka

8.8.2.1.

8.8.2.2.

8.8.2.3.

8.8.2.4.

8.8.2.5.

8.8.3.

Replication and Consistency

8.8.3.1.

Gossip-Based Replication

8.8.3.2.

Read and Write Consistency

8.8.3.3.

Conflict Resolution

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