Technical glossary
Clear, verifiable definitions of the concepts powering our software, integration and data systems.
Version v1.0 · Last updated — 3 September 2026
In software engineering, semantic ambiguity is the primary source of bugs and technical debt. Here is what we mean by each concept, and how we apply it in practice.
Formal, typed and versioned specification governing exchanges between two software components or organizations.
We write and validate input/output schemas (TypeScript, JSON Schema, Zod) before any business logic is written. Any breaking change is caught at compile-time and blocked in CI.
Associated deliverable: Versioned schemas, OpenAPI/TypeScript documentation, and contract test suites.
Asynchronous event notification mechanism secured via cryptographic signatures (HMAC) and guarded against duplicate execution.
Every incoming or outgoing webhook carries a timestamp and an HMAC signature verified upon ingress. Unique event IDs guarantee idempotent processing even during network retries.
Associated deliverable: Webhook handler with cryptographic verification and replay logging.
Automated chain for extracting, validating, transforming, and loading business events or records.
Every transformation preserves raw lineage back to the originating event. Inconsistent records are explicitly quarantined to an anomaly queue rather than silently degraded.
Associated deliverable: Automated pipeline, strict validation schemas, and ingestion monitoring.
Systematic automation of code checks, unit/integration tests, and deployment gates on every code revision.
A project-appropriate gate can combine strict typing, regression tests, and security checks. Self-declaration never replaces automated test runs.
Associated deliverable: A verifiable CI workflow and merge rules documented for the project’s risk.
Scheduled or event-triggered execution of operational workflows featuring logging, error recovery, and supervision.
We engineer resilient chains capable of resuming exactly at the point of failure after transient errors, with instant alerting and human approval on critical mutations.
Associated deliverable: Supervised automated chains with execution logs and recovery policies.
Architectural principle ensuring any metric or displayed decision can be formally traced back to its root server event.
Every metric generated by our data pipelines is paired with an event identifier and end-to-end lineage, enabling audit defense in front of financial controllers or regulators.
Associated deliverable: Traceable data model with immutable linkage to source events.
Version-controlled management of evolving tables, constraints, and indexes in relational database systems.
All database modifications are written as deterministic, reversible SQL migrations tested against realistic staging datasets before production application.
Associated deliverable: Sequenced SQL migration repository with schema regression tests.
Guarantee that the client holds all source code, credentials, schemas, and documentation required to internalize or transfer the system.
Repositories, hosting accounts, and API credentials are provisioned under the client’s name from day one. We never rely on opaque proprietary dependencies designed to lock you in.
Associated deliverable: Full code repository, architectural documentation, and handover roadmap.
Have a system to describe? Write to hello@inkore.io