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Download IgniteARCHITECTURAL BACKBONE
CORE FEATURES
DATA PLACEMENT & PROCESSING
OPERATIONAL EXCELLENCE
ADDITIONAL USE CASES
Download IgniteARCHITECTURAL BACKBONE
CORE FEATURES
DATA PLACEMENT & PROCESSING
OPERATIONAL EXCELLENCE
ADDITIONAL USE CASES
Microservices
State Management
With Apache Ignite
Simple OR Scalable? Choose Both.
Distributed ACID transactions across service boundaries
Distributed ACID transactions across service boundaries
The Trade-off Problem
Traditional microservices architectures force an impossible choice: monolithic databases with ACID transactions (simple but doesn't scale), or per-service databases with distributed sagas (scalable but complex compensation logic).
Sagas require extensive compensation logic for failure scenarios. Two-phase commit across services creates tight coupling and availability risks. Manual coordination between service databases increases operational complexity and infrastructure costs.
How Apache Ignite Solves This
Apache Ignite provides distributed ACID transactions across service boundaries without saga complexity
Distributed ACID Transactions
Consensus replication enables ACID guarantees across multiple microservices without two-phase commit overhead. Transaction coordinator handles atomic commits across distribution zones. Eliminates compensation logic required by saga patterns. Each service maintains its own tables while supporting atomic operations across boundaries.
Infrastructure Consolidation
Single platform replaces multiple per-service databases and coordination services. Significant infrastructure cost reduction potential through system consolidation. Logical partitioning with distribution zones enables per-service data isolation without shared schema constraints.
Architecture Pattern
Shared Data Platform For Microservices
Microservices store state in Apache Ignite using service-specific tables within distribution zones, enabling ACID transactions across service boundaries without saga complexity.
Integration Pattern: Each microservice owns its tables within Apache Ignite. Cross-service operations use distributed transactions that span multiple tables. Transaction coordinator ensures atomic commits across service boundaries.
Consistency Model: Consensus replication provides ACID guarantees for distributed transactions. Snapshot isolation prevents read-write conflicts across services. No eventual consistency windows or compensation logic.
Performance Characteristics: Memory-first storage delivers low-latency state access. Partition-aware routing minimizes cross-service coordination overhead. Horizontal scalability handles service growth without performance degradation.
When This Pattern Works
This architecture pattern is best for:
- Microservices requiring atomic operations across service boundaries
- Systems where saga compensation logic becomes too complex to maintain
- Applications with strong consistency requirements across services
- Organizations seeking infrastructure cost reduction through consolidation
Example Use Cases:
- Order Processing: Atomic updates to order, inventory, and payment services without compensation rollback logic
- Financial Services: Account transfers across multiple services with ACID guarantees and audit trails
- Reservation Systems: Booking confirmations that atomically update availability, customer, and billing services
Key Benefits
Eliminate Saga Complexity
Distributed ACID transactions replace saga compensation logic. No need to write rollback handlers for every service interaction. Transaction coordinator ensures atomic commits across service boundaries. Reduces code complexity and maintenance burden.
Strong Consistency
Consensus replication ensures cross-service transactions commit atomically. No eventual consistency windows or intermediate states visible to other services. Snapshot isolation prevents read-write conflicts across service boundaries.
Infrastructure Cost Reduction
Single platform consolidates multiple per-service databases, caches, and coordination services. Significant cost reduction potential through infrastructure consolidation. Reduces operational overhead of managing multiple database systems.
Service Independence
Distribution zones provide logical isolation per service. Each microservice owns its tables and schemas. Cross-service transactions don't require tight coupling at the schema level. Services evolve independently while maintaining transactional consistency.
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Use Cases Overview