Plain-language definitions of terms used across Mayordomo. Start with a flagship, search the list, or open a shared link to a single term.
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Stabilising stalled or fragile AI-built software so your team can own production again.
AI project remediation is senior engineering work on platforms that were accelerated with AI tools and then stalled: missing tests, opaque architecture, no runbooks, demos that never became production. The goal is triage, stabilise, realign, and leave ownership with your staff — not a permanent retainer.
Crawl, structure, performance, and measurement foundations so a small business site can rank and stay maintainable.
Technical SEO (search engine optimisation) here means engineering the site so search engines and users can find, crawl, and understand it: structure, performance baselines, content-ready templates, and a measurement loop the owner can run. It is not a content factory, guest-post network, or link farm.
Sites and templates built so technical SEO foundations are part of the product, not an afterthought.
An SEO-ready platform is a small-business site (or marketing surface) with crawlable structure, sane performance, stable templates for content, and measurement wired in — so ranking work sits on solid engineering rather than repeated emergency fixes.
Storing state as a sequence of domain events instead of only the latest snapshot.
Event sourcing records every meaningful change as an immutable event. Current state is derived by replaying those events (often with snapshots for speed). It pairs well with audit trails, temporal queries, and CQRS read models — and needs careful operational design.
Separate models for writing data (commands) and reading data (queries).
CQRS (Command Query Responsibility Segregation) splits write paths from read paths so each can scale and evolve independently. Writes enforce invariants; reads serve fast, purpose-built views. Often used with event sourcing, but not required by it.
A cluster of related data treated as one unit, with clear rules about what may change together.
In domain design (especially event-sourced systems), an aggregate is a group of related objects or data that change as one unit. One root sets the boundary: what belongs inside, which rules must stay true, and which commands or events may update it. Clear aggregates stop event streams and business rules from becoming a tangle nobody can follow.
Building and running systems on Azure using managed services, containers, and identity-first ops.
Azure cloud-native delivery means designing for Azure’s platform primitives — Container Apps, managed identity, Service Bus, Key Vault, observability — instead of lifting a fixed VM mindset. The aim is operable services with clear ownership, not cloud for its own sake.
Microsoft’s public cloud platform for apps, data, and identity.
Microsoft Azure is the cloud platform Mayordomo most often ships on: compute, messaging, storage, identity, and observability services used to run production systems for UK mid-market and enterprise teams.
Engineering practices that keep production reliable: SLOs, runbooks, incident response, and toil reduction.
Site Reliability Engineering (SRE) applies software engineering to operations: clear service levels, monitoring that answers real questions, runbooks, and deliberate reduction of manual toil. On AI-accelerated estates, SRE often means putting the missing operational layer back under the demo.
Incremental upgrade of legacy systems so they stay safe, shippable, and operable.
Modernisation (and rescue) work upgrades or stabilises older platforms without a big-bang rewrite: risk-bounded slices, clear ownership, and production safety. It sits alongside remediation when the stack itself is the constraint.
Hands-on senior direction for architecture, delivery standards, and team capability.
Technical leadership here means founder-level engineers setting architecture, quality bars, and decision records while shipping — not a remote architecture PDF. Skills transfer so the client team can run without a permanent external bottleneck.
When the running system slowly diverges from the intended design until change becomes risky.
Architectural drift appears as inconsistent patterns, hidden coupling, and “we can’t touch that module.” AI-accelerated delivery can accelerate drift by generating code faster than shared conventions. Remediation re-establishes boundaries and operable defaults.
Code that is small, intention-revealing, and safe to change under pressure.
Clean code is readable structure with shallow nesting, clear names, and tested behaviour — the opposite of generated dumps that compile once and resist every later change. On remediation work it is a recovery bar, not a style cult.
Microsoft’s modern application platform for web, APIs, and cloud services.
.NET is the primary application stack Mayordomo uses for server-side systems: APIs, workers, and web hosts on Azure. Deep Microsoft-stack experience means shipping on current .NET, not only legacy Framework.
Microsoft’s orchestration model for composing distributed .NET apps in local and cloud environments.
.NET Aspire helps define app hosts, dependencies, and environment wiring for multi-service systems. Used well, it shortens the path from local composition to Azure Container Apps-style deployment with clearer ownership of resources.
Azure’s managed serverless container platform for microservices and APIs.
Azure Container Apps runs containers without you managing Kubernetes day-to-day: scale rules, revisions, and managed identity fit cloud-native .NET services. Mayordomo often pairs Aspire composition with Container Apps targets.
The .NET, Azure, and related Microsoft tooling used for production delivery.
“Microsoft stack” on this site means the combination of .NET, Azure platform services, identity, and operational tooling Mayordomo uses for mid-market and enterprise delivery — not vendor lock-in theatre.
A written procedure your team can follow during incidents and routine ops.
A runbook documents how to diagnose and recover a system: checks, escalation, and safe remediation steps. Missing runbooks are a common failure mode of AI-demo estates that never received operational design.
Metrics, logs, and traces that answer “what is broken?” without guesswork.
Observability is the ability to understand system behaviour from external signals. Production systems need intentional instrumentation and dashboards tied to user outcomes — not only default host metrics.
Azure identity for apps so secrets are not hard-coded in config or code.
Managed identity lets an Azure workload authenticate to Key Vault, Service Bus, storage, and other services without connection-string secrets in source control. It is a default security pattern for cloud-native delivery.
Financial-technology systems with heightened audit, risk, and reliability pressure.
Fintech delivery patterns amplify the cost of architectural drift and missing SRE: regulated data, money movement, and audit expectations. Remediation here prioritises correctness and operability over demo velocity.