MigrateForce & AI Enablement Concepts
Self-Hosted AI Infrastructure
An architecture where integration servers, data connectors, and agent tooling run inside your own infrastructure — VPC, on-prem, or private cloud. Generated code is standard Python/Docker with no vendor callbacks.
Black Box (Legacy SaaS)
Legacy SaaS platforms that store data in proprietary formats, expose limited or no API access, and charge add-on fees for AI features. MigrateForce extracts data and business logic from these systems.
BYOM (Bring Your Own Model)
Generated integration servers are model-agnostic — they expose tool interfaces that any LLM can call. Swap Claude for GPT-4 or Llama without modifying generated code.
Agentic Primitives
Standardized output formats from MigrateForce engagements that AI agents can immediately consume and orchestrate: Integration Servers, Skills (Markdown-based capabilities), Data Connectors, and Workflow Hooks.
Per-Seat AI Surcharges
Additional fees charged by SaaS vendors for AI-powered features (e.g. Salesforce Einstein, Zendesk AI) on top of existing subscription costs. Self-hosted integration servers avoid these recurring fees.
Skills
Markdown-based capability definitions extracted from legacy systems. Skills describe what an agent can do, its inputs/outputs, and constraints—portable across any AI framework.
Migration Intelligence Artifact (MIA)
A comprehensive deliverable from MigrateForce assessment containing ROI quantification, automation opportunity mapping, risk analysis, and implementation roadmap for enterprise migrations.
Agent Orchestrator Mesh
A multi-agent architecture with Router, Planner, and Coder nodes working together. Routes requests, plans complex workflows, and executes migrations with safety-first governance.
MCP (Model-Context-Protocol)
An emerging standard that defines how AI models (like LLMs) can reliably discover and interact with external tools and APIs. It provides a standardized interface for AI agents.
MCP Server
A server application that wraps an existing REST API and exposes its functionalities as MCP Tools for AI agents to consume. One of several integration patterns generated by MigrateForce tooling.
MCP Tool
A specific function or capability exposed by an MCP Server, typically corresponding to one or more endpoints from the original REST API. Tools have clear names, descriptions, and defined inputs/outputs for AI understanding.
Tool Mapping
The process within MigrateForce of configuring how specific REST API endpoints (paths and methods) are translated into MCP Tools, including defining their names, descriptions, and included status.
OpenAPI Specification (for MigrateForce)
A formal description of a REST API (versions 2.0, 3.0, or 3.1; JSON or YAML) used by MigrateForce as the primary input to understand the API structure and generate integration code.
AI Agent Integration
The process of enabling AI agents or LLM-based applications to connect with and utilize external tools and APIs, using standards like MCP, OpenAPI, or custom integration layers.
Generated Code (by MigrateForce)
The source code (typically Python/FastAPI) and associated Docker configuration for an integration server, automatically produced by MigrateForce tooling based on an OpenAPI spec and user-defined mappings.
Cloud Migration
Lift and Shift
A migration strategy where applications are moved to the cloud with minimal or no modifications to their architecture.
Cloud-Native
Applications designed and built to take full advantage of cloud computing capabilities and services.
Hybrid Cloud
An infrastructure environment that combines both public and private cloud resources, allowing data and applications to be shared between them.
Cloud Computing
Delivery of computing services—including servers, storage, databases, networking, software—over the internet ("the cloud") to offer faster innovation and flexible resources.
Cloud Migration
The process of moving data, applications, or other business elements from on-premises infrastructure to a cloud computing environment.
AWS (Amazon Web Services)
A comprehensive cloud services platform offering computing power, database storage, content delivery, and other functionalities to help businesses scale and grow.
Multi-Cloud Strategy
Utilizing multiple cloud computing services from different providers to enhance flexibility, performance, and cost efficiency.
Private Cloud
Cloud computing resources used exclusively by a single organization, offering greater control and security.
Public Cloud
Cloud services offered over the public internet and available to anyone who wants to purchase them.
Serverless Computing
A cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources.
Development & Operations
Agile Migration
An iterative approach to migration that emphasizes flexibility, customer collaboration, and rapid delivery of functional components.
DevOps
A set of practices that combine software development (Dev) and IT operations (Ops) to shorten the system development life cycle.
Containerization
Packaging software code with all its necessary components so it can run uniformly and consistently on any infrastructure.
Integration Testing
Testing in which individual software modules are combined and tested as a group to identify interface defects between modules.
Data Management
Data Center Migration
Moving data center assets to a new physical location or into a cloud or hybrid environment.
Data Integration
Combining data from different sources to provide a unified view, essential in migration projects to ensure consistency.
Big Data
Extremely large data sets that require specialized tools to store, analyze, and visualize for insights and decision-making.
Backup
The process of creating copies of data to safeguard against accidental loss or corruption.
SaaS Migration
Data Mapping
The process of matching fields between the source and target SaaS applications to ensure proper data transfer.
API Integration
The connection between two or more SaaS applications using their application programming interfaces to share data and functionality.
Single Sign-On (SSO)
An authentication process that allows users to access multiple SaaS applications with one set of credentials.
Data Migration
ETL
Extract, Transform, Load - A three-step process for data integration that extracts data from sources, transforms it to fit operational needs, and loads it into the target system.
Data Cleansing
The process of detecting and correcting corrupt, inaccurate, or irrelevant records from a dataset before migration.
Delta Migration
A migration approach that only transfers data that has changed since the last migration, reducing transfer time and resources.
Infrastructure & Systems
Legacy Systems
Outdated computer systems or applications that are still in use, often requiring special considerations during migration.
On-Premises
Computing infrastructure that is physically located within the confines of an organization and managed internally.
PaaS (Platform as a Service)
A cloud computing model that provides hardware and software tools over the internet, allowing developers to build applications without worrying about underlying infrastructure.
SaaS (Software as a Service)
A software licensing model where software is accessed online via a subscription rather than installed on individual computers.
Scalability
The ability of a system to handle increased load by adding resources, essential in cloud environments to manage varying workloads.
Virtual Machine (VM)
An emulation of a computer system that provides the functionality of a physical computer, useful in creating isolated environments during migration.
Virtualization
The creation of a virtual version of something, such as a server, storage device, or network resources.
Testing Environment
A controlled setting where applications and systems are tested to identify issues before full-scale deployment or migration.
Workload Migration
Moving the processing of data or applications from one environment to another, such as from on-premises servers to the cloud.
Migration Strategy
Migration Plan
A detailed document outlining the steps, resources, timelines, and strategies for moving systems or data from one environment to another.
Refactoring
Rewriting or restructuring existing code without changing its external behavior to improve performance and maintainability during migration.
Replatforming
Modifying an application to run on a new platform or operating system during migration, often with minimal code changes.
Replication
Copying data from one location to another to ensure consistency and availability during migration processes.
Security Compliance
Adhering to industry regulations and standards to protect data integrity and privacy during and after migration.
Technical Concepts
YAML (YAML Aint Markup Language)
A human-readable data serialization language often used for configuration files and in applications where data is being stored or transmitted.
Vendor Lock-In
A situation where a customer becomes dependent on a single cloud provider's services and cannot easily switch to another vendor without substantial costs or inconvenience.
Cloud Service Models
Understanding the differences between IaaS, PaaS, and SaaS is crucial for selecting the right services during migration.
Governance & Compliance
Data Governance
Policies and procedures that ensure high data quality and security during and after migration.
Compliance and Regulations
Awareness of legal requirements such as GDPR, HIPAA, or other industry-specific regulations that affect data handling during migration.
Migration Strategies
Different approaches to migration, including rehosting, replatforming, refactoring, repurchasing, retiring, and retaining.