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Infrastructure Security & Resilience

Environment Separation & Deployment Strategy

BURQ maintains strict environmental separation between development, staging, and production to prevent cross-environment contamination and unauthorized data exposure.

  • Deployments are isolated by Azure Virtual Networks, and infrastructure-as-code (IaC) pipelines ensure environment consistency.
  • No production data is used in non-production environments.
  • Regional deployments accommodate customer-specific data residency and compliance requirements.

Availability & Uptime Architecture

BURQ leverages Azure Kubernetes Service (AKS) for high availability and workload resilience across multiple availability zones.

  • Auto-scaling groups and load-balanced services redistribute traffic and workloads automatically during node failures or demand spikes.
  • Scheduled maintenance is managed with zero-downtime release pipelines to prevent service interruption.
  • Platform availability is governed by a 99.9% uptime SLA under standard configurations.

Disaster Recovery

Key Features (Standard Configuration):

  • Configuration Recovery: BURQ only persists operational configurations (e.g., connector setups, workflow logic), all of which are version-controlled and securely backed up.
  • Backups: Frequent backups of platform and integration configurations ensure workflows can be quickly restored during service interruptions.
  • Failover:
    • Kubernetes-based self-healing ensures failed pods are recreated on healthy nodes within the same region.
    • Workloads are dynamically reassigned to maintain system continuity.
  • Monitoring & Alerts:
    • Real-time health monitoring is powered by tools like Prometheus and Azure Monitor.
    • Automated alerts are sent to L1 responders, and recovery workflows are initiated upon detection.

Standard Disaster Recovery Metrics:

  • SLA: 99.9% platform uptime
  • RTO: 1–2 hours for restoring critical services
  • RPO: Near-zero loss of configuration data due to frequent versioned backups

Advanced Setup (Multi-Region Deployments):

Customers with mission-critical workloads can opt for advanced failover architectures:

  • Active/Passive:
    • A standby region is pre-provisioned and kept in sync.
    • RTO: 20–40 minutes
    • SLA: 99.99%
  • Active/Active:
    • Both regions process traffic simultaneously.
    • Offers near-instant failover.
    • RTO: 5–10 minutes
    • SLA: 99.995%

These deployment modes are configurable based on the customer’s availability, compliance, and latency requirements.

Disaster Recovery Workflow Overview:

  1. Failure Detection – Real-time anomaly detection flags issues like system latency, service downtime, or node instability.
  2. Alert Notification – Incidents trigger automated alerts to BURQ operations and incident management workflows.
  3. Failover Initiation – Traffic is rerouted to healthy nodes or alternate regions.
  4. Configuration Restoration – Backup archives are pulled from geo-redundant Azure Blob Storage and redeployed.

Validation & Resumption – Post-recovery validation ensures all integration workflows are operational before traffic normalization.

Scalability

BURQ is architected as a cloud-native platform leveraging Microsoft Azure’s elastic infrastructure to deliver seamless, on-demand scalability. The platform is designed to scale horizontally and vertically, ensuring high performance and stability even during peak integration workloads.

  • Azure-Native Scaling- BURQ takes full advantage of Azure’s autoscaling features across Kubernetes clusters, compute instances, and service layers. This ensures that system performance dynamically adjusts to meet real-time traffic demands, whether it’s a surge in API calls or data processing spikes across connectors.
  • Service-Level Scalability- BURQ’s microservices architecture allows each component, such as integration pipelines, connector orchestration, and logging, to scale independently. This ensures optimal resource allocation and avoids over-provisioning.
  • Regional Scalability- For customers operating in specific geographies, BURQ supports region-specific scaling policies. This enables deployment and performance tuning at the regional level (e.g., per country or compliance zone) without impacting the global performance baseline.

Capacity Management

BURQ proactively manages infrastructure capacity to ensure system health, SLA adherence, and cost-efficiency. Monitoring and forecasting are deeply embedded in the platform’s operational strategy.

  • Resource Monitoring- BURQ continuously monitors utilization metrics across its Azure-based infrastructure, including CPU, memory, disk I/O, and throughput per node. Threshold-based alerting triggers scaling operations or provisioning reviews before performance degradation occurs.
  • Forecasting & Growth Planning- Capacity planning is conducted regularly based on customer growth trends, traffic patterns, and integration complexity. BURQ teams analyze usage forecasts to pre-allocate resources and maintain consistent performance under growing loads.
  • Multi-Tenant Resource Management- The platform is designed with tenant-aware resource isolation, ensuring that one customer’s resource usage does not affect another’s. Azure’s resource group and container management features are used to maintain this separation effectively.