Call ERP Experts if your ERP project has led to arbitration.

Unlock Arbitration Success with Expert Insight: Our firm, led by seasoned IT consultant Brooks Hilliard, delivers courtroom-tested expertise in computer systems, software disputes, and licensing agreements. Trust us to clarify complex technology terms and secure favorable outcomes across federal, state, and arbitration cases.

Call ERP Experts if your ERP project has led to arbitration.

Unlock Arbitration Success with Expert Insight: Our firm, led by seasoned IT consultant Brooks Hilliard, delivers courtroom-tested expertise in computer systems, software disputes, and licensing agreements. Trust us to clarify complex technology terms and secure favorable outcomes across federal, state, and arbitration cases.

Salesforce Technology Stack Overview

Salesforce Technology Stack

Here’s a detailed breakdown of the sub-components for each key component of the Salesforce Cloud technology stack.


1. Apex

  • Sub-Components:
    • Triggers: Event-driven code snippets that execute before or after specific database operations (e.g., insert, update, delete) on Salesforce objects.
    • Classes: Object-oriented structures for reusable logic, supporting encapsulation, inheritance, and polymorphism (similar to Java).
    • Controllers: Custom logic for Visualforce pages or Lightning components to handle user interactions and data processing.
    • Batch Apex: For processing large datasets asynchronously, with support for chaining and scheduling.
    • SOQL (Salesforce Object Query Language): A SQL-like language embedded in Apex to query Salesforce data.
    • SOSL (Salesforce Object Search Language): For full-text search across multiple objects.
    • Governor Limits: Built-in runtime constraints (e.g., CPU time, heap size) to ensure multi-tenant efficiency.

2. Multi-Tenant Architecture

  • Sub-Components:
    • Metadata Engine: Drives dynamic configuration of apps, objects, fields, and workflows without altering the underlying codebase.
    • Tenant Isolation: Logical separation of customer data and configurations using unique tenant IDs and schema partitioning.
    • Resource Pooling: Shared compute, storage, and memory resources dynamically allocated across tenants.
    • Load Balancers: Distribute traffic across servers to optimize performance and uptime.
    • Caching Layer: Likely includes tools like Memcached or Redis to reduce database load and improve response times.
    • Database Abstraction: A custom layer that maps tenant-specific metadata to a shared physical database structure.

3. Lightning Framework

  • Sub-Components:
    • Lightning Web Components (LWC):
      • HTML Templates: Declarative markup for UI structure.
      • JavaScript (ES6+): Logic for interactivity and data binding.
      • CSS: Scoped styles for component-specific design.
      • Shadow DOM: Encapsulates components for modularity and style isolation.
    • Aura Framework: Legacy component model (still supported) using JavaScript and a component-based architecture.
    • Base Lightning Components: Pre-built UI elements (e.g., buttons, forms, grids) for rapid development.
    • Event System: Pub-sub model for component communication (e.g., Lightning Message Service).
    • Locker Service: Security layer to enforce strict JavaScript execution and DOM access rules.

4. Java

  • Sub-Components:
    • Servlets: Handle HTTP requests and responses within the Salesforce application server.
    • JDBC: Java Database Connectivity for database interactions (likely abstracted in newer implementations).
    • Frameworks: Custom implementations resembling Spring or Hibernate for dependency injection and ORM.
    • JVM (Java Virtual Machine): Executes Java bytecode, optimized for multi-tenant performance.
    • Thread Management: Custom threading model to handle concurrent requests in a multi-tenant environment.

5. Database

  • Sub-Components:
    • Custom Objects: Metadata-defined tables for storing tenant-specific data (e.g., Accounts, Contacts).
    • Standard Objects: Predefined tables shared across tenants (e.g., Leads, Opportunities).
    • Indexes: Optimized for fast querying in a multi-tenant setup.
    • Partitioning: Logical and physical separation of tenant data for scalability.
    • Big Objects: For archiving large datasets with asynchronous access.
    • External Objects: Integration with external databases via Salesforce Connect (OData protocol).
    • Query Optimizer: Custom engine to rewrite and optimize SOQL queries.

6. Heroku

  • Sub-Components:
    • Dynos: Lightweight containers for running app processes (e.g., web or worker dynos).
    • Postgres: Managed relational database service for structured data storage.
    • Heroku Redis: In-memory data store for caching and queuing.
    • Heroku Connect: Bi-directional sync between Salesforce data and Postgres databases.
    • Buildpacks: Pre-configured environments for languages like Node.js, Java, Python.
    • Add-ons: Ecosystem of tools (e.g., Apache Kafka, logging services) for extensibility.
    • CLI: Command-line interface for deployment and management.

Specific Cloud Offerings

7. Commerce Cloud

  • B2C Commerce:
    • Storefront Reference Architecture (SFRA): Pre-built templates using JavaScript and Handlebars.
    • Page Designer: Visual tool for building e-commerce pages with drag-and-drop components.
    • OCAPI (Open Commerce API): RESTful APIs for storefront and backend integration.
    • Business Manager: Admin interface built with JavaScript and proprietary scripting.
    • Node.js: Powers server-side rendering and middleware.
  • B2B Commerce:
    • Lightning Components: For building B2B-specific UIs (e.g., order management).
    • Apex: Custom logic for pricing, entitlements, and workflows.
    • Experience Cloud: Portal framework for partner and customer self-service.

8. Marketing Cloud

  • Sub-Components:
    • AMPScript: Proprietary scripting for dynamic email and landing page content.
    • SQL Query Activities: For segmenting data in Data Extensions (Marketing Cloud’s data tables).
    • Journey Builder: Workflow engine built with JavaScript and server-side logic.
    • Content Builder: Drag-and-drop UI for creating marketing assets.
    • ExactTarget APIs: SOAP and REST APIs for integration with external systems.
    • Fuel SDKs: Libraries in Python, PHP, etc., for programmatic access.

9. Einstein (AI)

  • Sub-Components:
    • Prediction Builder: No-code tool for custom AI predictions using Salesforce data.
    • Einstein Vision: Image recognition powered by deep learning models (likely TensorFlow or PyTorch).
    • Einstein Language: NLP capabilities for sentiment analysis and intent detection.
    • Data Science Platform: Python-based environment with libraries like Pandas, Scikit-learn.
    • Model Training: Cloud-hosted compute (e.g., AWS SageMaker) for machine learning workloads.
    • APIs: REST endpoints to embed AI predictions in apps.

Supporting Technologies

10. APIs and Integration

  • Sub-Components:
    • REST API: JSON-based endpoints for CRUD operations and metadata access.
    • SOAP API: XML-based interface for legacy integrations.
    • Bulk API: Asynchronous processing for large data loads.
    • Streaming API: Real-time event push using CometD and Bayeux protocol.
    • GraphQL (Emerging): Limited support in some areas for flexible querying.

11. DevOps Tools

  • Sub-Components:
    • Salesforce CLI: Commands for scripting deployments and metadata management.
    • VS Code Extensions: Tools for Apex, LWC, and SOQL development.
    • Sandboxes: Isolated environments for testing and development.
    • Change Sets: Declarative deployment tool for moving metadata between orgs.
    • CI/CD Integrations: Support for Jenkins, GitHub Actions, etc.

12. Infrastructure

  • Sub-Components:
    • AWS Services: EC2 (compute), S3 (storage), RDS (databases), and Lambda (serverless).
    • Content Delivery Network (CDN): Akamai or CloudFront for static asset delivery.
    • Message Queues: Kafka or RabbitMQ for asynchronous processing.
    • Monitoring: Custom tools plus integrations like Splunk or New Relic.

13. Security

  • Sub-Components:
    • OAuth 2.0: Token-based authentication for API access.
    • SSO: SAML and OpenID Connect support for enterprise logins.
    • Shield: Encryption (Platform Encryption), auditing (Event Monitoring), and backups.
    • Field-Level Security: Granular access control at the data level.

Front-End and Customization

14. JavaScript

  • Sub-Components:
    • ES6 Modules: For modular code in LWC and Commerce Cloud.
    • Promises/Async-Await: For handling asynchronous operations.
    • Fetch API: For client-side HTTP requests to Salesforce APIs.
    • React-like Patterns: Used in some Commerce Cloud implementations.

15. Visualforce

  • Sub-Components:
    • Pages: Markup combining HTML and Apex expressions.
    • Components: Reusable UI blocks with controller logic.
    • Static Resources: Storage for CSS, JavaScript, and images.
    • Custom Tags: Salesforce-specific markup for dynamic rendering.