High Availability & Scalability
The SDA Platform is architected to meet the reliability, performance, and elasticity requirements of modern industrial operations. From globally distributed cloud services to locally resilient on-premise gateways, SDA is designed to deliver continuous availability—even during peak load, infrastructure failures, or single Availability Zone (AZ) outages. By building the SDA cloud infrastructure on Amazon Web Services (AWS) and leveraging AWS-native services for compute, storage, networking, and orchestration, SDA achieves enterprise-grade resiliency and scale while maintaining strict security and multi-tenant isolation.
This page outlines the core architectural principles and mechanisms that ensure the platform remains resilient, scalable, and predictable across all environments.
Cloud-Native High Availability
SDA runs on a fully managed, cloud-native infrastructure built to eliminate single points of failure. High availability is achieved through:
Multi-AZ (Availability Zone) Redundancy
All critical services are deployed across multiple AWS Availability Zones, ensuring that platform operations continue seamlessly even if one zone experiences degraded performance or a full outage.
AWS-Managed Durability & Replication
Stateful data—including project data, metadata, audit logs, configuration, vault secrets, and platform state—is stored in AWS services designed for:
Automatic replication
High durability
Transparent failover
Continuous backups
These AWS-managed layers significantly reduce the risk of data loss or service disruption.
Self-Healing Microservices
SDA uses stateless microservices deployed on AWS-managed compute platforms whenever possible. This ensures:
Rapid horizontal scaling
Automatic health checks
Instance replacement when failures occur
Zero-downtime rolling updates
Rapid restoration during failures
The combination of AWS orchestration and SDA microservice design results in highly resilient cloud operations.
Elastic Scalability
SDA scales dynamically in response to usage growth, user load, and operational demand. AWS’s elastic services provide the underlying foundation for this horizontal scalability.
Horizontal Auto-Scaling Compute
AWS auto-scaling mechanisms expand compute capacity based on:
IDEaaS session volume
Pipeline execution concurrency
API request load
Background job throughput
This ensures consistent and predictable performance regardless of customer size or usage spikes.
Distributed Pipeline Orchestration
SDA pipeline execution uses orchestration services that enable:
Parallel execution across many gateways or devices
Load-aware scheduling
Fault-tolerant retry logic
Horizontal scaling during high-demand periods
This design enables large factories or global enterprises to run hundreds of automated workflows simultaneously.
Multi-Tenant Isolation with AWS Security Primitives
AWS-native security controls enforce strict tenant isolation by design, ensuring:
Segregated compute resources for compute resource isolation
Separate data storage boundaries for data isolation
Isolation at API and identity layers
This guarantees that no tenant’s usage impacts the performance or availability of another.
On-Premise Reliability via the SDA Gateway
High availability extends beyond the cloud. SDA Gateways running on-premise ensure local resilience and uninterrupted device operations.
Resilient Outbound-Only Connectivity
Gateways maintain encrypted outbound tunnels to SDA services. If a connection path becomes unstable, the gateway automatically restores connectivity or switches to an alternative route.
Graceful Degradation
Even during internet interruptions:
On-premise processes continue running
Completed pipeline results synchronize once cloud access is restored
IDEaaS sessions reconnect gracefully
This maintains operational stability within the factory.
Performance Optimization & Load Management
To maintain performance during scale, SDA implements several AWS-enabled strategies:
Load Balancers
AWS load balancing distributes traffic to optimal endpoints, reducing latency and preventing performance bottlenecks.
Adaptive Throttling
SDA uses cloud-native monitoring and rate control to ensure:
Fair use across tenants
Protection from unintended overload
Consistent response times
Optimized Data Transfer Paths
AWS networking and transfer acceleration services enable high-throughput, resilient communication even across constrained networks.
Enterprise-Ready Scalability Model
The platform is designed to grow seamlessly across:
Global multi-factory deployments
Multiple regions or continents
Hundreds of gateways
Thousands of PLCs, robots, drives, and HMIs
Large engineering teams using IDEaaS concurrently
Whether supporting a single pilot line or enterprise-wide digital transformation, SDA provides predictable, globally available, and resilient industrial Backup and DevOps capabilities.
Last updated