Integration Caching System

An Integration Caching System is a distributed multi-tier caching system that can support integration cache management tasks to optimize data access, reduce system latency, and minimize backend load in integration architectures.

• AKA: Integration Cache, System Integration Cache, Cross-System Cache.
• Context:
  • It can typically cache Integration Responses through cache storages maintaining API responses, query results, and transformation outputs.
  • It can typically implement Cache Strategys through caching policys including cache-aside, read-through, and write-through patterns.
  • It can typically manage Cache Coherences through coherence protocols ensuring data consistency, cache synchronization, and invalidation propagation.
  • It can typically handle Cache Partitions through partitioning schemes organizing cache segments, cache shards, and cache namespaces.
  • It can typically optimize Cache Performances through optimization techniques implementing cache warming, prefetching, and compression.
  • ...
  • It can often provide Distributed Cachings through cache clusters enabling cache replication, cache distribution, and cache failover.
  • It can often enable Intelligent Cachings through cache intelligences supporting adaptive caching, predictive caching, and context-aware caching.
  • It can often support Cache Analyticss through analytics engines monitoring cache hit ratios, cache miss rates, and cache utilization.
  • It can often maintain Cache Securitys through security layers implementing cache encryption, access control, and audit logging.
  • ...
  • It can range from being a Local Integration Caching System to being a Distributed Integration Caching System, depending on its cache architecture.
  • It can range from being a Single-Layer Integration Caching System to being a Multi-Layer Integration Caching System, depending on its cache hierarchy.
  • It can range from being a Static Integration Caching System to being a Dynamic Integration Caching System, depending on its cache adaptability.
  • It can range from being a Memory-Based Integration Caching System to being a Hybrid Integration Caching System, depending on its storage medium.
  • It can range from being a Application-Level Integration Caching System to being a Infrastructure-Level Integration Caching System, depending on its deployment layer.
  • ...
  • It can integrate with CDN Network for edge caching.
  • It can connect to Redis Cluster for distributed cache storage.
  • It can interface with Database System for persistent caching.
  • It can communicate with Message Bus for cache invalidation events.
  • It can synchronize with Load Balancer for cache-aware routing.
  • ...
• Example(s):
  • API Integration Caching Systems, such as:
    • API Gateway Integration Caching Systems, such as:
      • AWS API Gateway Cache for API response caching.
      • Azure APIM Cache for API management caching.
    • GraphQL Integration Caching Systems, such as:
      • Apollo Cache for GraphQL query caching.
      • Relay Cache for GraphQL client caching.
  • Database Integration Caching Systems, such as:
    • ORM Integration Caching Systems, such as:
      • Hibernate Cache for entity caching.
      • Entity Framework Cache for .NET data caching.
    • Query Integration Caching Systems, such as:
      • Query Result Cache for SQL result caching.
      • Materialized View Cache for pre-computed data caching.
  • Connector Integration Caching Systems, such as:
    • Connector Caching System for connector-specific caching.
    • Service Mesh Cache for microservice caching.
    • ESB Cache for enterprise service bus caching.
  • ...
• Counter-Example(s):
  • Direct Data Access, which bypasses cache layers for real-time requirements.
  • Stateless System, which maintains no cached state.
  • Write-Only System, which performs only data modification without read caching.
• See: Caching System, Distributed Cache, Content Delivery Network, Redis Cache, Performance Optimization, Data Cache, Integration Architecture.
• Reference(s):
  • https://www.gabormelli.com/RKB/Application_Programming_Interface_(API)
  • https://www.gabormelli.com/RKB/Backend_for_Frontend_(BFF)-based_System

---