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Table of Contents

Front Matter

—Cover 01Introduction 02CONOPS

Chapters

01The Fresh Install & Environment Setup 02Keeping the Codebase Clean 03Building Interfaces and Integrating Data 04Designing the Database 05Visualizing Data 06Intelligence (Modeling and Training)07Securing the Compute 08Enhancing Observability 09Applying a Use-Case (The Status Page)10Encrypting the Data & Key Management 11Tuning the Model 12Collecting Unstructured Data 13Enhancing Data with Threat Intelligence 14Scaling Reporting and Announcements with Sanity 15Integrating Newsletter Subscriptions 16Developer Workflow and Version Management 17Accessibility Compliance Auditing 18Client-Side Content Synchronization 19Third-Party Telemetry and Cloudflare Integration 20Network Traffic Enrichment and Cybersecurity Telemetry 21Team Workflows and Vulnerability Management 22Production Deployment on Cloud Run 23Enterprise Security (SOC 2, CMMC 2.0, and NIST SP 800-171 Rev. 3)24Automation and Maintenance Schedules 25Countermeasure Effectiveness Standard (CES)26Building an Asynchronous Asset Inventory 27Preparations for Q-Day and Quantum Encryption 28Access Control Matrix: Role-Based (RBAC) & Attribute-Based (ABAC) Paradigms 29The Integrations Gateway & API Key Infrastructure 30DevSecOps, Platform Standardization, and Leak-Proof Tenancy 31Viking-UI — The Zero-Dependency UI Kit

Appendices

ASecurity Policy BData Engineering & Processing CCloud Run Deployment DMaintenance & Automation Schedule EContributing Guidelines & Getting Started FTelemetry Security Benefits GExtra Code Samples HBackground Schedulers & Asynchronous Workflows IAPI Rate Limiting, Tiered Pricing, and Usage Analytics JSoftware Bill of Materials (SBOM)KPlatform Maintenance Log LFoundational Security Frameworks

Back Matter

31Acknowledgements & Technologies

Interactive Guide

Data Engineering
for Machine Learning

Building High-Throughput Event Platforms

Joe AlongiVOL. I

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