Production-Grade Engineering Stacks & AI
At Sibiri Innovation, we build software engineered for high concurrency, zero technical debt, and mathematical reliability. Explore the verified technology stacks our senior practitioners use in active production — from MERN, MEAN, Next.js, and Enterprise Laravel 11 to Java Spring Boot, Python Django, MariaDB Galera clusters, and autonomous Agentic AI with LangGraph & RAG.
engine: "Sibiri Innovation Core Architecture"
tier_1_fullstack: [MERN, MEAN, Next.js 15, React 19]
tier_2_backend: [Laravel 11, PHP 8.3 JIT, Django 5, FastAPI]
tier_3_enterprise: [Java 21 Spring Boot, NestJS, Kafka]
tier_4_ai_agents: [Agentic AI, RAG, LangChain, LangGraph, LLM]
tier_5_storage_cms: [MariaDB Galera, Qdrant, Wikis, WordPress]
tier_6_cloud: [Kubernetes, Docker, Terraform, AWS]
Core Engineering Domains & Stack Hierarchy
Explore how we structure our technological competencies into distinct domain tiers for enterprise clients worldwide.
Full-Stack Reactive & Edge (MERN, MEAN & Next.js 15)
Modern interactive single-page applications, React Server Components (RSC), and Angular 18 Signals engineered for sub-second page loads and seamless cloud distribution.
Enterprise Backend & SaaS (Laravel 11 & Core PHP)
High-concurrency business platforms, multi-tenant ERPs, and financial ledgers powered by Laravel Octane, JIT compilation, and native WebSockets.
High-Throughput Microservices (Java Spring Boot & NestJS)
Distributed microservice meshes built on Java 21 Virtual Threads and NestJS modular architectures with Kafka event streaming and circuit breakers.
Agentic AI, RAG & LangGraph Systems
Autonomous multi-agent swarms, cyclical state graphs, hybrid vector search (Qdrant), and production LLM inference pipelines with audit-proof verification.
Sovereign Knowledge Wikis & Enterprise WordPress
Decoupled headless WordPress with Next.js frontends and Git-synchronized Open Source Wiki engines (Wiki.js, BookStack) for compliance and documentation.
MariaDB Galera Clusters & Cloud DevOps
Multi-master synchronous relational clusters, ProxySQL read-write splitting, Kubernetes container orchestration, and automated Terraform infrastructure.
Detailed Technology Blueprints & Runtime Architectures
In-depth architectural breakdowns of the 14 core technology stacks powering Sibiri Innovation's client solutions and internal platforms.
PostgreSQL
Architectural Highlights & Standards
Redis
Architectural Highlights & Standards
MariaDB & High-Performance Relational Databases
High-Availability Galera Clusters, ACID Storage Engines & Sub-Millisecond Query Optimization
MariaDB and MySQL form the high-availability relational foundation of our enterprise business solutions. We architect multi-master Galera Clusters, master-slave read replicas with ProxySQL, automated point-in-time recovery, and optimized schema partitioning to ensure zero data loss and sub-2ms query response times under high-concurrency loads.
Architectural Highlights & Standards
- Synchronous multi-master replication across nodes using MariaDB Galera Cluster for zero data loss.
- Intelligent read-write splitting and connection pooling via ProxySQL, multiplying database throughput.
- Hybrid transactional (OLTP) and analytical (OLAP) processing using ColumnStore columnar storage.
- Advanced B-Tree, hash, and composite indexing strategies reducing 99th-percentile query times below 2ms.
- Automated physical hot backups (Mariabackup) with automated integrity verification.
-- MariaDB High-Performance Partitioned Table Schema
CREATE TABLE enterprise_ledger_transactions (
transaction_id BIGINT UNSIGNED NOT NULL AUTO_INCREMENT,
tenant_id INT UNSIGNED NOT NULL,
account_number VARCHAR(34) NOT NULL,
amount DECIMAL(18, 4) NOT NULL,
currency CHAR(3) NOT NULL,
status ENUM('PENDING', 'SETTLED', 'FAILED') NOT NULL DEFAULT 'PENDING',
created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (transaction_id, created_at),
KEY idx_tenant_status (tenant_id, status),
KEY idx_account_date (account_number, created_at)
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED
PARTITION BY RANGE (UNIX_TIMESTAMP(created_at)) (
PARTITION p_2026_q1 VALUES LESS THAN (UNIX_TIMESTAMP('2026-04-01 00:00:00')),
PARTITION p_2026_q2 VALUES LESS THAN (UNIX_TIMESTAMP('2026-07-01 00:00:00')),
PARTITION p_2026_q3 VALUES LESS THAN (UNIX_TIMESTAMP('2026-10-01 00:00:00')),
PARTITION p_future VALUES LESS THAN MAXVALUE
);
Enterprise Architecture Decision Matrix
A transparent comparison of concurrency models, data layers, and best-fit business use cases across our production technology stacks.
| Technology Stack | Primary Focus | Concurrency Model | Database & Data Layer | Ideal Project Type |
|---|---|---|---|---|
| Open Source Wikis | Knowledge Governance & SOPs | Decoupled Git Sync & Node.js | PostgreSQL / SQLite / Vector Search | Internal runbooks, API documentation, compliance portals |
| Enterprise WordPress | Headless Publishing & VIP Media | Decoupled ISR via Next.js | MariaDB + Redis Persistent Cache | High-traffic editorial sites, corporate flagships, marketing hubs |
| PHP with Laravel 11 | Enterprise SaaS & ERP Platforms | Multi-Process with Octane & Redis | MySQL / PostgreSQL / Eloquent ORM | Complex business workflows, ERPs, accounting ledgers, B2B SaaS |
| Modern Core PHP 8.3 | High-Throughput Micro-Engines | JIT Compiler + Native Fibers Async | Raw PDO / Specialized In-Memory | Payment gateways, telemetry parsers, standalone Composer SDKs |
| MERN Stack | Real-Time SPAs & Interactive Web | Async Single-Threaded Event Loop | MongoDB Atlas (NoSQL Document Store) | Real-time collaboration, dashboards, customer self-service |
| MEAN Stack | Type-Safe Enterprise Workflows | Angular 18 Signals + Express | MongoDB / Enterprise Data Stores | Banking portals, clinical healthcare workflows, telecom consoles |
| Next.js 15 & RSC | Hybrid SSR & Edge Flagships | Edge Runtime + React Server Components | REST / GraphQL / Edge Caching | High-conversion e-commerce, global marketing platforms |
| NestJS Enterprise | Modular TypeScript Microservices | Event-Driven + Dependency Injection | Prisma / TypeORM / Kafka / Redis | Fintech platforms, IoT backends, code-first GraphQL meshes |
| Python Django & FastAPI | Async APIs & AI Microservices | ASGI Async / Distributed Celery | PostgreSQL / SQLAlchemy / Vector DBs | AI model serving endpoints, data engineering, fast REST APIs |
| Java with Spring Boot | High-Throughput Distributed Systems | Multi-Threaded JVM + Virtual Threads | PostgreSQL / Oracle / Kafka / JPA | Core banking engines, transaction gateways, telecom backbones |
| AI & Machine Learning | Predictive Analytics & Vision | GPU Tensor Pipelines & ONNX | Feature Stores & S3 Lakehouses | Automated OCR, fraud detection, predictive maintenance, demand forecast |
| Agentic AI & LangGraph | Autonomous Workflows & RAG | Stateful Cyclical Graphs & Checkpoints | Qdrant Vector DB + Context Windows | Autonomous multi-agent research, audit-proof document search |
| MariaDB Galera Clusters | Zero-Data-Loss ACID Transactions | Multi-Master Synchronous Replication | InnoDB Storage Engine + ColumnStore | Mission-critical financial ledgers, transactional databases |
| DevOps & Cloud (K8s) | Zero-Downtime Infrastructure | Container Orchestration & Auto-Scaling | Managed Cloud DBs / Redis Clusters | High-availability production clusters, GitOps, CI/CD pipelines |