Infrastructure Overview
The AERONTOGEL platform is built on a state-of-the-art infrastructure designed for scalability, reliability, and performance. Our technical architecture represents years of research and development in distributed computing, data processing, and analytics framework design.
Data Center Network
AERONTOGEL operates multiple Tier III+ data centers across strategic locations in Indonesia and Singapore. Each facility features redundant power supplies, climate control, and 24/7 security monitoring.
- Jakarta Primary DC: 10,000 sq ft
- Surabaya Secondary DC: 8,000 sq ft
- Singapore Regional DC: 15,000 sq ft
- Disaster Recovery: Multi-region backups
Compute Infrastructure
Our compute infrastructure consists of high-performance servers with custom-configured processors optimized for analytics workloads. We utilize a hybrid cloud architecture that balances performance and scalability.
- 2,500+ compute nodes
- Custom analytics processors
- GPU acceleration clusters
- Containerized microservices
Storage Architecture
Multi-tier storage architecture designed for optimal performance and cost efficiency. Hot data resides in NVMe storage, warm data in SSD arrays, and cold data in high-density archival storage.
- 15 PB total storage capacity
- NVMe for real-time processing
- Multi-region replication
- Incremental backup system
Network Infrastructure
High-speed network backbone with multiple redundant internet connections from tier-1 providers. Our network architecture ensures low-latency connectivity and high throughput for data-intensive operations.
- 100 Gbps backbone capacity
- Multi-carrier redundancy
- DDoS protection layer
- Global CDN integration
Security Infrastructure
Multi-layered security architecture protecting data at rest, in transit, and during processing. Our security measures exceed industry standards and undergo regular independent audits.
- End-to-end 256-bit encryption
- Zero-trust network architecture
- Real-time threat detection
- Compliance with international standards
Analytics Framework
Proprietary analytics framework built for distributed processing and real-time insights. The framework supports multiple analytics engines and machine learning models simultaneously.
- Distributed query processing
- Real-time streaming analytics
- Machine learning pipelines
- Custom algorithm deployment
Technical Architecture Deep Dive
1. Distributed Computing Framework
The AERONTOGEL platform utilizes a custom-built distributed computing framework that enables horizontal scaling across thousands of nodes. Our architecture is based on microservices principles, with each service containerized for independent deployment and scaling.
Key components include:
- Orchestration Layer: Kubernetes-based orchestration managing 5,000+ containers
- Service Mesh: Istio service mesh for secure service-to-service communication
- Message Queue: Apache Kafka for real-time data streaming
- Processing Engine: Apache Spark clusters for batch and stream processing
2. Data Processing Pipeline
Our data processing pipeline handles petabytes of data daily with sub-second latency. The pipeline consists of multiple stages optimized for different data types and processing requirements:
- Ingestion: Real-time data ingestion from multiple sources
- Validation: Data quality and schema validation
- Transformation: Data normalization and enrichment
- Processing: Analytical computations and model execution
- Storage: Optimized storage based on access patterns
- Delivery: Results delivered via APIs and dashboards
3. High Availability Architecture
We've designed our infrastructure with maximum availability in mind. The AERONTOGEL platform achieves 99.99% uptime through multiple layers of redundancy:
Security & Compliance Infrastructure
Physical Security
All AERONTOGEL data centers feature enterprise-grade physical security measures:
- 24/7 on-site security personnel with armed guards
- Biometric access control systems for all entry points
- Multi-factor authentication for sensitive areas
- Security cameras with 90-day retention period
- Man-trap entry systems for critical infrastructure
Cybersecurity Measures
Our cybersecurity infrastructure includes multiple layers of protection:
Compliance Certifications
AERONTOGEL maintains compliance with international standards:
Future Infrastructure Development
Quantum Computing Integration
AERONTOGEL is actively researching quantum computing integration for specific optimization problems. Our roadmap includes:
- Quantum-safe encryption implementation by Q4 2024
- Hybrid quantum-classical computing pilots in 2025
- Quantum machine learning research initiative
Edge Computing Expansion
To support real-time analytics at the network edge, we're expanding our edge computing infrastructure:
Sustainable Infrastructure
Environmental sustainability is a core principle of our infrastructure development:
- 100% renewable energy for all data centers by 2026
- Advanced cooling systems reducing power consumption by 40%
- Carbon-neutral operations certification target