MIDAREL02-BP01 Design resilient industrial integration patterns

Implement redundant and fault-tolerant architectural patterns that maintain operational continuity during system failures. Your manufacturing data architecture should include local processing capabilities, data buffering, and automatic recovery mechanisms to verify that critical production processes continue even when cloud connectivity or key systems fail.

Desired outcome: Manufacturing operations continue with minimal disruption when systems fail, with production data preserved and synchronized once systems are restored. Critical operational parameters remain accessible to machine operators, and production workflows continue functioning through degraded modes.

Benefits of establishing the Best Practice: By implementing resilient integration patterns, manufacturers can minimize production downtime, maintain product quality during system failures, preserve critical operational data, and properly synchronize systems once they are restored, ultimately helping protect revenue and customer satisfaction.

Level of risk exposed if this best practice is not established: High

Implementation guidance

Implement edge computing solutions

First, assess your manufacturing systems' criticality, required processing latency, and local autonomy requirements.

Document which operations must continue during cloud connectivity disruptions.

Design local processing capabilities that can operate independently when disconnected, with clear rules for autonomous decision-making and data buffering.

Consider implementing AWS IoT Greengrass on factory floor gateways to enable local processing and autonomous operations during connectivity issues, with rules that determine which operations can continue locally and which require cloud connectivity.

Create data buffering mechanisms

Begin by analyzing your data generation patterns, storage requirements, and acceptable data latency windows. Document recovery time objectives (RTOs) and recovery point objectives (RPOs) for different data types.

Implement local storage mechanisms that can retain manufacturing data during outages and automatically synchronize when connectivity is restored.

Consider using AWS IoT SiteWise Edge to store time-series production data locally during connectivity interruptions, with automatic synchronization to AWS IoT SiteWise in the cloud when connectivity returns.

Design circuit breaker patterns

Start by mapping dependencies between manufacturing systems and identifying potential failure points. Define graceful degradation modes for each critical service and establish fallback mechanisms.

Implement patterns that can detect failures and automatically switch to alternative processing paths.

Consider implementing circuit breakers using AWS Step Functions to handle failures in downstream dependencies and automatically switch to predefined fallback mechanisms that maintain critical manufacturing operations.

Configure automatic failover systems

First document your manufacturing system's availability requirements and acceptable downtime windows. Establish clear failover activations and recovery procedures.

Design redundant connectivity paths with automated switching capabilities to maintain continuous operations.

Consider deploying redundant AWS IoT Core endpoints with automatic failover capabilities to provide reliable connectivity between manufacturing systems and cloud services, with monitoring to verify successful failover operations.

Key AWS services

Resources