Key Concepts
Essential technical concepts and architectural patterns for developers working with the Armada Edge Platform.
Edge Computing Architecture
Edge computing moves computation and data storage closer to data sources, reducing latency and bandwidth requirements.
Technical Benefits:
- Reduced Latency: Sub-10ms response times for real-time applications
- Bandwidth Optimization: Local processing reduces data transfer by 60-80%
- Offline Resilience: Applications continue operating without internet connectivity
- Data Sovereignty: Sensitive data remains within local infrastructure
- Cost Efficiency: Reduced cloud compute and bandwidth costs
Galleon Infrastructure
Ruggedized edge data centers - Enterprise-grade computing infrastructure for harsh environments.
Architecture Components:
- Compute Nodes: High-performance CPUs with GPU acceleration support
- Storage Systems: NVMe SSDs with RAID configurations for data redundancy
- Networking: Multi-gigabit Ethernet with failover capabilities
- Environmental Controls: Temperature, humidity, and dust management systems
- Power Management: UPS systems with generator backup for 99.9% uptime
Deployment Specifications:
- Form Factors: 19" rack-mount, portable containers, and custom enclosures
- Operating Conditions: -40°C to +70°C, 95% humidity, IP65 protection
- Certifications: MIL-STD-810G, ATEX, IECEx for hazardous environments
Atlas Observability Platform
Comprehensive monitoring and observability - Enterprise-grade monitoring for distributed edge infrastructure.
Monitoring Capabilities:
- Infrastructure Monitoring: CPU, memory, storage, and network utilization
- Application Performance: APM with distributed tracing and error tracking
- Log Aggregation: Centralized logging with search and analytics
- Metrics Collection: Prometheus-compatible metrics with custom dashboards
- Alert Management: Multi-channel alerts (email, SMS, Slack, webhooks)
Technical Features:
- Real-time Dashboards: Customizable Grafana dashboards with real-time updates
- Predictive Analytics: ML-powered anomaly detection and capacity planning
- API Integration: RESTful APIs for custom integrations and automation
- Data Retention: Configurable retention policies with data compression
Marketplace Application Catalog
Curated application ecosystem - Pre-validated, edge-optimized applications and services.
Application Categories:
- Industrial IoT: SCADA systems, predictive maintenance, quality control
- Data Analytics: Real-time analytics, machine learning inference, data processing
- Communication: Video streaming, voice processing, messaging platforms
- Security: Access control, surveillance, threat detection systems
- Developer Tools: CI/CD pipelines, testing frameworks, development environments
Technical Standards:
- Container Optimization: Multi-architecture images (x86, ARM64)
- Security Scanning: Automated vulnerability assessment and compliance checks
- Performance Testing: Edge-specific performance benchmarks and validation
- Documentation: Comprehensive API documentation and deployment guides
- Version Management: Semantic versioning with backward compatibility guarantees
Kubernetes at the Edge
Distributed container orchestration - Enterprise-grade application management for edge environments.
Edge-Specific Adaptations:
- Resource Constraints: Optimized for limited CPU/memory environments
- Network Resilience: Handles intermittent connectivity and high latency
- Security Hardening: Enhanced security policies and network isolation
- Offline Operation: Local cluster management without cloud dependencies
Technical Capabilities:
- Multi-Cluster Management: Centralized control of distributed edge clusters
- Auto-Scaling: Horizontal and vertical pod autoscaling based on demand
- Service Mesh: Istio integration for advanced traffic management
- GitOps Workflows: Declarative deployments with automated synchronization
- Custom Resources: Edge-specific CRDs for specialized workloads