The practice
From the journeys that earn the money, down to the signals that prove they work.
E-commerce monitoring, agent-led investigation and automated response, for growing e-commerce businesses. Software does the watching, the correlating and the investigating. You keep every decision that reaches a customer.
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Observability
We make it visible.
The journeys that earn the money mapped end to end, then instrumented at the depth your stack justifies: business events, synthetic checks and uptime for a lightweight estate; OpenTelemetry, metrics, logs, traces and APM for a complex one.
Journey → Dependency
Checkout, payment, inventory, fulfilment and login mapped end to end, then every system, API and third party each one quietly depends on.
You say what must never be down. We find out how many things it quietly depends on, which is always more than expected.
The journeys that earn money, drawn end to end
Every system, API and third party each one touches
What failing at each step would actually cost
Dependency → Signal
Instrumentation sized to your complexity: business events, synthetic checks and uptime for a lightweight stack; OpenTelemetry, metrics, logs, traces and APM for a complex one.
We recommend the smallest stack that can actually see your failures, and say so when you are already paying for more than you need.
Lightweight stack: business events, synthetic checks, uptime
Full stack: OpenTelemetry, metrics, logs, traces, APM
Whichever it is, instrumented so a failure is provable
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Agentic Intelligence
We work out what is wrong.
Agents watch the business signals rather than the servers, decide whether a deviation is a business incident, then investigate it: correlating across systems, pulling recent deploys and third-party status, retrieving the relevant runbook, and proposing a probable cause with the evidence attached.
Signal → Detection
Thresholds set on orders, payments and conversion rather than on CPU. Silent failures, stalled workflows and third-party degradation caught in minutes, not by a customer email.
You decide what counts as a business incident. A slow server at 3am may not be one; a checkout that has taken no orders in ten minutes always is.
Thresholds set on orders, payments and conversion
Silent failures and stalled workflows caught
One alert with business impact attached, not forty
Detection → Investigation
Evidence collected the moment it fires: recent deploys, third-party status, error rates, queues and traces, with a probable cause and the reasoning attached.
It proposes; it never concludes. Every finding arrives with what it looked at, so the person reading it can disagree.
Recent deploys and configuration changes checked
Third-party and provider status pulled
Probable cause proposed, with its evidence
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Automated Response
We fix it, on your approval.
The right workflow selected and its preconditions checked, then the action taken on approval: retry, roll back, restart, fail over, pause. Escalated to a person when it needs one, and verified against the only thing that counts, orders flowing again.
Investigation → Recovery
Runbook selected, action taken on approval: retry, roll back, restart, fail over to a second provider, pause the campaign. Then verified against the only thing that counts, orders flowing again.
Anything that changes a system waits for your approval until you have watched it be right enough times to lift that. Anything touching an order or a payment never stops waiting.
Runbook selected and its preconditions checked
Action taken: retry, roll back, restart, fail over, pause
Verified against orders, not against a green tick
Boundaries
What we will tell you never to automate.
An assessment that recommends automating everything is a sales document. This is the work that stays with a person, permanently, however good the agents get.
Anything that moves money
Refunds, chargebacks, captures, payouts and price changes. An agent may prepare one and tell you it is needed. It may never issue one.
Anything a customer can see
Order cancellations, replacement shipments, apology emails, status page wording. The decision to speak to a customer belongs to you, every time.
Anything that can lose data
Database failover, bulk catalogue writes, cache purges on a stateful store. The upside is minutes; the downside is unrecoverable.
Failures you have only seen once
A runbook written from a single incident is a guess. We automate the failures you are tired of, not the interesting ones.
Detection, almost always, because most businesses this size are not slow at fixing things, they are slow at finding out. The Reliability Assessment names your specific starting point.
Uptime monitoring tells you the site responded. It will happily report green while checkout takes payment and never creates the order. We watch the journey, not the server.
They watch business signals, decide whether a deviation is an incident, then investigate it: correlating across systems, checking recent deploys and provider status, retrieving the relevant runbook and proposing a cause with its evidence. Acting on that always passes through an approval gate first.
On the commerce side, Shopify, Stripe, carrier and ERP APIs, Cloudflare and custom applications. On the platform side, OpenTelemetry, Datadog, Dynatrace, Grafana, Prometheus, Kubernetes and your CI. We resell none of them.
Start with the blind spots