Clojure consulting
Clojure Consulting for Production Systems
Independent technical judgement for teams running Clojure in production: architecture reviews, performance investigations, design direction and an honest read on the risks in front of you.
(-> system
observe
measure
decide)Highlights
Architecture review
A structured read of namespaces, boundaries, state management and data flow, with the trade-offs made explicit.
Performance investigation
Profiling JVM and Clojure hot paths, reflection, laziness leaks, transaction and query behaviour under real load.
Technical direction
A prioritized, written recommendation your engineering leadership can act on and budget against.
When an outside Clojure perspective is worth it
Clojure teams are usually small, which is a strength — until the team is too close to the system to see it clearly. Consulting is most valuable at the moments where a decision is expensive to reverse: before a rewrite, before a database migration, before committing a quarter of roadmap to a new architecture, or when latency and incident frequency have started to creep upward without a single obvious cause.
The output is not a slide deck. It is a written document your engineers can argue with: what the system does today, where complexity has accumulated, which risks are real versus theoretical, and what to do first.
- Second opinion before a major architectural commitment
- Latency, throughput or memory behaviour that nobody has isolated
- A codebase that has outgrown the conventions it started with
- Disagreement inside the team about direction
- Due diligence on a Clojure codebase you are about to inherit
What the review actually covers
The review starts with data. In Clojure systems, the shape of the data and where it is transformed explains most of the design; namespaces and libraries come second. From there the assessment moves outward: state and lifecycle management, boundary design between services, error handling and retries, transducer and sequence usage in hot paths, dependency and JVM version posture, build and deployment reliability, and the observability you would need during the next incident.
Where something is working well, we say so. Consulting that recommends changing everything is rarely honest and never actionable.
- Data model and information flow
- Namespace boundaries and coupling
- State, lifecycle and component wiring
- Concurrency, queues and backpressure
- Error handling, retries and idempotency
- Test strategy and confidence in change
- Observability, metrics and logging
- Build, deploy and rollback safety
From assessment to change
Most teams do not want a report; they want the situation improved. Consulting engagements often continue as hands-on work — implementing the first two or three recommendations together with your engineers so that the reasoning transfers along with the code.
That transition is deliberate and optional. There is no obligation to convert an assessment into a longer contract, and the assessment is written to be useful even if your own team does all of the work.
Frequently asked questions
- What does a Clojure consulting engagement usually look like?
- A short, focused engagement: reading the codebase and its data model, interviewing the engineers who operate it, and producing a written assessment with prioritized recommendations. Follow-up implementation work is optional.
- Can consulting be delivered part-time alongside our roadmap?
- Yes. Many teams prefer a recurring block of consulting hours for architecture review, design discussion and pull-request feedback rather than a single audit.
- Do you need production access?
- Not necessarily. Read-only repository access plus dashboards, logs and a walkthrough with your engineers is often enough to be useful in the first week.
Bring in a second technical perspective.
Describe the system and the decision in front of you. The first conversation is technical and costs nothing.