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The SentinelStream -Autonomous Mesh

 

This playbook is now your complete 360-degree architectural reference for the 2026 digital economy.


The SentinelStream Manifesto

SentinelStream is an end-to-end manifesto for the "Autonomous Bank." It moves beyond legacy monolithic architectures into a Distributed Data Mesh where data is not just stored, but reasoned with in real-time. The system is designed to handle 100,000+ Transactions Per Second (TPS) with sub-100ms latency, utilizing Agentic RAG for fraud triage, Citus-sharded PostgreSQL for horizontal scale, and GitOps for self-healing infrastructure. It bridges the gap between high-speed transactional logic and deep analytical intelligence.

The Complete 50-Module Index

Part I: The Network & Security Mesh

  • Module 1: Cloud-Native Ingress: Designing for Scale with Kong & OIDC

  • Module 2: Zero-Trust Foundations: Implementing Istio mTLS & Sidecar Orchestration

  • Module 3: Service Mesh Observability: Distributed Tracing with Tempo & Grafana

Part II: High-Performance Processing & Streaming

  • Module 4: The Event-Driven Backbone: Kafka as an Architectural Shock Absorber

  • Module 5: Real-Time Logic: Stateful Stream Processing with Apache Flink

  • Module 6: The Go Backend: Engineering for High-Concurrency & Low-Latency

Part III: The Modern Distributed Data Platform

  • Module 7: Breaking the Vertical Wall: Horizontal Scaling with Citus-Sharded PostgreSQL

  • Module 8: Polyglot Persistence: Pairings for Speed (Redis) and Relationships (Neo4j)

  • Module 9: The Lakehouse Revolution: Building Long-Term Audit Trails with Apache Iceberg

  • Module 10: Seamless Data Mobility: Change Data Capture (CDC) with Debezium

Part IV: The Intelligence Layer (AI & MLOps)

  • Module 11: Agentic Workflows: Orchestrating Fraud Triage with LangGraph

  • Module 12: Retrieval Augmented Generation (RAG): Integrating Vector DBs (Pinecone)

  • Module 13: Probabilistic Defense: ML-Driven Behavioral Biometrics & Adaptive Limits

  • Module 19: ML & MLOps Lifecycle: Feature Stores & Continuous Retraining

Part V: Modern Analytics & Data Warehousing

  • Module 25: Unified Governance: Implementing Databricks Unity Catalog

  • Module 26: Declarative Engineering: Delta Live Tables (DLT) for Medallion Pipelines

  • Module 27: Mosaic AI: Training & Serving Custom Fraud Models

  • Module 28: The Semantic Layer: Virtual Cubes & Headless BI with Cube.dev

  • Module 47: Modern Big Data Platforms: Unified Lakehouse & Zero-Copy Ecosystems

Part VI: Resiliency, DevOps & Integration Patterns

  • Module 14: Fault Tolerance Patterns: Circuit Breakers, Bulkheads, and Retries

  • Module 15: GitOps Mastery: Automated Self-Healing with ArgoCD

  • Module 16: Progressive Delivery: Canary Releases & Automated Rollbacks

  • Module 35: Enterprise Integration Patterns (EIP): Saga & Transactional Outbox

  • Module 38: Distributed Tracing for AI: Propagating Spans across LLM Calls

Part VII: Formal Architectural Documentation

  • Module 29: Business Use Cases: From Fraud Interdiction to Mule Detection

  • Module 30: Software Requirements Specification (SRS): Functional & Non-Functional

  • Module 31: Technology Architecture: The Blueprint of the Moving Parts

  • Module 32: Data Architecture: Mapping the "Journey of a Byte"

  • Module 33: Security, Privacy & Governance: Field-Level Encryption & PII Redaction

Part VIII: LLM Operations & Semantic Observability

  • Module 36: LLM Orchestration: Reasoning Loops and Self-Correction

  • Module 37: Semantic Observability: Measuring Faithfulness & Hallucination

  • Module 39: FinOps for AI: Token Management & Cost Attribution

Part IX: The 2026 Frontier & Global Operations

  • Module 20: The Green Data Mesh: Sustainability & Carbon-Aware Computing

  • Module 21: Edge Computing: 5G Integration & Localized Fraud Ingest

  • Module 22: Quantum-Safe Cryptography: Post-Quantum Security Agility

  • Module 23: FinOps & Cloud Economics: Unit Economics of Distributed Systems

  • Module 34: Day 2 Operations: Chaos Engineering & Schema Registry Management

  • Module 42: Branch Infrastructure: Supporting a 900-Branch Geo-Distributed Network

Part X: Construction, Validation & Industry Adaptation

  • Module 40: Building the Full System: The 24-Week Execution Roadmap

  • Module 41: The Digital Twin: High-Fidelity Testing (Functional, Security, Performance)

  • Module 43: Technology Deep-Dive: Comprehensive Component Summaries

  • Module 44: Logic & Schema: Models, Cubes, and Pipeline Reference Sheets

  • Module 48: Industrial Adaptation: Manufacturing & Industry 4.0 Digital Twins

  • Module 49: Telecom SON: Cognitive Autonomous Networks & Self-Healing Meshes

  • Module 50: Healthcare: Precision Medicine & HIPAA-Compliant AI Lakehouses

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