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Architecture · Version 1.0.0 · Reviewed 2026-08-02

Event Sourcing Readiness Advisor

Make a defensible decision about fit assessment and projection design with evidence, explicit trade-offs, and a verification plan.

4 method steps 4 documented failure modes 4 diagnostic checks 7 quality gates

Assesses whether event sourcing fits the domain and what operational burden it introduces.

₹199 one-time

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What this skill helps you do

  • Fit assessment
  • Projection design
  • Migration and replay

How Event Sourcing Readiness Advisor works

You provide

Requirements, constraints, and the current topology

It inspects

Critical path and failure boundaries for fit assessment

It decides

A projection design decision with consequences recorded

You verify

Rollout stages with the signal that gates each one

What it checks first

Event Sourcing Readiness Advisor assesses whether event sourcing fits the domain and what operational burden it introduces. Use it when the work involves Fit assessment, Projection design, Migration and replay.

  1. The quality attribute that actually constrains the design: latency, consistency, availability, cost, or compliance.
  2. The critical path and the number of network hops on it.
  3. Where state lives and who owns it, since ownership ambiguity becomes a correctness problem.
  4. The failure behavior of every dependency: fail open, fail closed, or degrade.

Failure modes it recognizes

  • Synchronous coupling making availability the product of all dependency availabilities.
  • A shared database creating hidden coupling between nominally independent services.
  • A component with no clear owner, so its failure has no defined response.
  • Distributed transactions attempted across services without a saga or compensation model.

Answers it will reject

  • Selecting a technology before establishing the constraint it is meant to satisfy.
  • Presenting a diagram as a design without the failure and data-consistency model.
  • Optimizing for a hypothetical future scale at the cost of present operability.

Decision rules it applies

  • Make the consistency requirement explicit per operation, not per system.
  • Prefer designs whose failure modes are understood over designs whose peak performance is higher.
  • Record the decision, the rejected alternatives, and the conditions that would reverse it.

Evidence it asks for

  • Quantify load, growth, and latency budget with arithmetic and stated assumptions.
  • Define the rollout stages and the signal that gates each one.
  • Name the reversal path for the decision.

The method inside

  1. Map the artifact, actors, boundaries, and invariants relevant to fit assessment.
  2. Trace concrete failure or abuse paths for projection design; do not report checklist items without a mechanism.
  3. Prioritize migration and replay findings by impact, likelihood, confidence, and cost of correction.
  4. Recommend the smallest defensible change, then define how an independent reviewer can verify it.

Deliverables

  • Fit assessment assessment
  • Projection design decision and action plan
  • Migration and replay verification checklist

Evidence requirements

  • Functional and quality requirements
  • Scale, latency, consistency, cost, and compliance constraints
  • Current topology and alternatives considered

Quality gates

  • Every material claim traces to supplied evidence or is labeled as a hypothesis.
  • The response follows the declared deliverable contract.
  • No execution, access, measurement, or verification is invented.
  • Secrets and personal data are redacted rather than repeated.
  • The user receives a concrete independent verification step.
  • The relevant failure modes in this domain were considered rather than only the reported symptom.
  • No listed anti-pattern was recommended as a solution.

Example task

Input

We want to adopt event sourcing because we keep losing history when records are updated in place.

Expected output

Needing history is a real driver, but event sourcing is a large commitment for that alone. An audit table or temporal versioning gives you history at a fraction of the cost; choose event sourcing when the domain genuinely reasons in events and replay is a feature...

Boundaries and compatibility

Ideal for

  • Fit assessment: produce a decision or artifact grounded in supplied evidence.
  • Projection design: produce a decision or artifact grounded in supplied evidence.
  • Migration and replay: produce a decision or artifact grounded in supplied evidence.

Out of scope

  • Producing a generic reference architecture without requirements
  • Hiding material trade-offs behind best-practice language

Agent compatibility

  • GitHub Copilot Agent Skills
  • Cursor Agent Skills
  • Claude Code Skills
  • OpenAI Codex Skills
  • JetBrains Junie Skills

Tool policy: Advisory by default. No tools are assumed. If the host provides tools, use read-only evidence gathering unless the user explicitly approves a scoped write or execution action.