LIVE / PROD
Datadog · Grafana
Stop flying blind
Introduce industry-leading monitoring such as Datadog or Grafana and gain a clear, real-time view of production.
Services
I can help you with
Expertise I can provide to software-based companies looking to scale and help their development teams reach the next level.
Explore the services01
Chapter
Monitoring & Operational Awareness
Gain complete visibility into your production systems and resolve issues before they impact your users.
EVENT STREAM
01 / accepted02ms
02 / indexed03ms
03 / verified04ms
04 / ready05ms
logs + metrics
Know what happened
Centralise logs and metrics from every system and middleware layer in one searchable place.
TRACE 8F2A
0 ms1,840 ms
request
checkout()
auth
loadOrder()
price
token
SELECT orders 1.42s
tax
fx
verify
1.84 s → 142 ms
Find the bottleneck
Use APM traces to identify the queries, methods and API calls that were slow when the system lagged.
KPI GUARD
14:02
14:04
14:06
14:08
14:02:11INFOcheckout.completed
14:02:14WARNpayment.retry
14:02:16ERRORgateway.timeout
anomaly detected
Catch bugs first
Monitor key product and platform KPIs, then alert the right people automatically when they misbehave.
AGENT / PR
READY FOR REVIEW
proposal ready
Move from alert to proposal
Feed operational context to an AI agent so it can prepare a fix or pull-request proposal before you open your laptop.
02
Chapter
Re-Architect Systems to Scale
Let's redesign your systems architecture so that it can auto-scale for performance and allow multiple teams to work on new features independently.
Performance scale
SERVICE MAP
A
CORE
B
bounded workload
Isolate critical workloads
Extract performance-critical parts of the system into services that can evolve and scale independently.
AUTOSCALER
traffic
cluster+3 nodes
NODE 1
NODE 2
NODE 3
+ NEW
+ NEW
+ NEW
3 → 12 pods
Scale with demand
Use Kubernetes or other orchestrators to add and remove capacity automatically as traffic changes.
DATA PATH
Primary / replicas
PRIMARY
READ 1
READ 2
Multi-master ring
A
B
C
read / write split
Prepare data for high load
Optimise database architecture, access patterns and storage choices for sustained throughput.
EVENT FLOW
QUEUE
EMAIL
BILLING
INDEX
ANALYTICS
EXPORT
NOTIFY
log → batch → cache
Apply patterns that spread load
Use event sourcing, distributed commit logs, micro-batching and in-memory processing where they genuinely increase speed.
Development scale
TEAM TOPOLOGY
TEAM A
CATALOG
TEAM B
CHECKOUT
TEAM C
DELIVERY
clear ownership
Let teams work independently
Shape system boundaries so multiple teams can own and change separate areas without blocking one another.
DELIVERY
INPUT
PROCESS
OUTPUT
build · verify · ship
Deploy independently
Give teams a safe path to release small updates to production frequently and on their own schedules.
DOMAIN MAP
Orders context
CART
CHECKOUT
PAYMENT
API
EVENTS
Delivery context
DISPATCH
ROUTING
TRACKING
bounded contexts
Align domains and ownership
Apply Domain-Driven Design to identify bounded contexts where Product Managers and teams can operate semi-independently.
03
Chapter
Rational Adoption of AI
Use AI where it creates leverage, with the context, safeguards and review boundaries needed for dependable engineering work.
ISOLATED RUN
Your laptop
docker · agent container
AI agent — running 04:18:32
middleware — policies · logs · approvals
isolated from production · permissioned access only
04:18:32 active
Give agents room to work
Create secure, isolated environments where AI agents can run for hours instead of being babysat like an operator in the Matrix.
CONTEXT INDEX
arch/
adrs.md
runtime.md
specs/
checkout.md
pricing.md
ontology/
entities.md
glossary.md
AGENTS.md
specs · docs · ontology
Engineer the context
Reorganise specifications, documentation and ontologies so AI can use them—and help keep them current.
PRODUCT BRANCH
editing real components…
prototype / live UI
Prototype in the real codebase
Enable UX Designers and Product Managers to test ideas directly against the product’s actual components and constraints.
QUALITY GATES
code review
+ retry(policy)
+ timeout(2s)
2 findings
browser tests
login
checkout
refund
review · test · secure
Strengthen the development loop
Add AI-assisted code review, testing and security audits at the points where they improve signal and speed.
REVIEW POLICY
let go of the codereview everything
docs · prototypes → agentpayments · auth → human
human / agent
Set sensible review boundaries
Decide which parts require human review for maintainability and where teams can safely let automation proceed.
MODEL HARNESS
MODEL A — 92/100
MODEL B — 89/100
MODEL C — 90/100
OpenCode · OpenDesign
Keep model choice open
Adopt open-source harnesses such as OpenCode and OpenDesign to experiment across leading AI models.
04
Chapter
Tech Company Mergers / Acquisitions
Make the technology legible before a deal and turn separate engineering organisations into one credible delivery system afterwards.
DUE DILIGENCE
ARCHITECTURE.pdf
INCIDENTS-2025.pdf
RUNBOOKS.docx
INFRA-COSTS.xlsx
CODEBASE.zip
risk / capability
Technical due diligence
Assess architecture, delivery capability, operational risk and technical debt before the transaction.
MERGER MAP
COMPANY A
dev teams
COMPANY B
dev teams
Global development
one roadmap · one rhythm
company A + B
Integrate departments
Build a post-merger engineering structure and roadmap that protects delivery while teams and systems converge.
OPERATING MODEL
INPUT
PROCESS
OUTPUT
one delivery rhythm
Unify how work moves
Align development methodology and product management so the combined organisation can prioritise and deliver coherently.
Availability
My capacity for new projects
Unavailable
Full-time Architect / Lead / CTO
Currently contracted and unavailable for full-time engagements.
Limited
Fractional CTO / Architect
Available for a dozen hours per week, on a fractional basis.
Let’s talk about your software products
Tell me about the challenges facing your business, and I’ll help your development team solve them.
Contact me →