You learn a service is slipping from an alert.
Or from a customer.
We watch availability so a degradation reaches your team before your users complain: health checks probing the endpoints that matter, alerts that fire on a defined threshold, and an escalation path with an on-call rotation concept so a detected incident meets a responder, not a void.
The walk-through
3 checked · 2 healthy · 1 paged
2 of 3 healthy. The shop is not trading.
A ping asks whether the door opened. It can't tell you the register is dead, because it never tried to buy anything. That gap is where a weekend of revenue goes, and every dashboard stays green throughout.
Maintenance, Support & Operations
Reliability monitoring built around detection and escalation
The question this service answers is availability: is the service up, reachable, and responding for real users right now — and if not, who finds out and how fast. We set up health checks against the endpoints that define 'working,' alert thresholds that fire before a slip becomes an outage, and an escalation path so a detected incident routes to a responder through a clear on-call structure. Reliability isn't just watching; it's making sure the watch reaches a person who can act.
What you get out of it
Downtime you catch first
Health checks and alerts surface an availability slip as it starts, so your team responds to a signal instead of learning about an outage from angry users.
Incidents that reach a responder
A defined escalation path and on-call structure mean a fired alert reaches someone who can act, rather than sitting in a channel nobody is watching.
A reliability picture over time
Availability tracking and an error-budget view show whether the service is trending more or less reliable, turning uptime into something you can manage.
What we do
Availability monitoring
Health checks and synthetic probes against the endpoints that define a working service, so availability is measured continuously rather than assumed.
- Health checks
- Synthetic probes
- Endpoint watch
Incident detection & alerting
Alert thresholds tuned to fire when service health starts slipping, early enough to act before a degradation becomes a full outage.
- Alert thresholds
- Degradation detection
- Signal tuning
Escalation & on-call
A defined escalation path and on-call rotation concept so a fired alert reaches a responder, and a serious incident doesn't stall in an unwatched inbox.
- Escalation path
- On-call rotation
- Responder routing
Reliability tracking
Availability history and an error-budget view so reliability is measured over time and the team can see whether it's improving or eroding.
- Availability history
- Error budget
- Incident log
How it goes
From a ping to a page
Week 1
Only a shallow ping exists
The homepage loads, so everything reads 'up,' even while the flow users actually need is silently broken.
Week 1
Real endpoints get defined
Health checks are built against what genuinely means 'working': homepage, product page, and a full checkout flow.
Week 2
Alert thresholds get tuned
Thresholds fire on a real degradation, calibrated against normal traffic so they don't cry wolf.
Ongoing
Alerts reach a responder
A defined escalation path and on-call structure mean a fired alert lands with someone who can act.
The three parts
Availability Checks
Health checks and synthetic probes run against the endpoints that define a working service for real users, well beyond whether a server responds.
- Synthetic checkout & flow probes
- Endpoint-specific health checks
- Continuous, not spot-checked
Alert Tuning
Thresholds are calibrated against your normal traffic patterns so an alert reflects a genuine degradation instead of routine noise.
- Threshold calibration
- Degradation vs. noise
- Signal tuning over time
Escalation & On-Call
A defined escalation path and on-call structure make sure a fired alert reaches an actual responder instead of an unread channel.
- Defined escalation path
- On-call rotation concept
- Severity-based routing
How we work
Define working
Identify the endpoints and signals that define an available, healthy service for your real users.
Set the watch
Wire health checks and synthetic probes against those signals so availability is measured continuously.
Route the alerts
Tune thresholds and connect an escalation path with an on-call structure so a slip reaches a responder.
Track reliability
Record availability and incidents over time, using an error-budget view to see whether reliability is trending up or down.
Why it pays
01
'Working' means what users need
Checks target the flows that actually matter, beyond whether a server is powered on.
02
Slips get caught before complaints
A degradation reaches your team as an alert, before it reaches your users as an outage.
03
Alerts reach a person, not a void
A defined escalation path means detection actually turns into a response.
04
Reliability becomes measurable
An error-budget view turns 'is it reliable enough' into a number the team can reason about.
05
On-call that actually routes
Severity-based escalation means the right person gets paged for the right incident.
06
History you can act on
Availability tracking over time shows whether reliability is trending up or eroding.
What you get
Monitoring setup
Health checks and synthetic probes watching the endpoints that define a working service.
Escalation plan
A defined alerting and escalation path, with an on-call structure so incidents reach a responder.
Reliability log
Availability history and an error-budget view that track reliability over time.
Industry expertise
E-commerce & retail · Checkout-specific health checks catch the failure a homepage ping would miss entirely.
Fintech & payments platforms · Transaction-flow monitoring means a degraded payment path pages someone immediately.
Healthcare software · Patient-facing flows are watched as real endpoints, never assumed healthy from a shallow ping.
Travel & booking platforms · Search-to-booking availability is monitored end-to-end, where a real outage actually happens.
B2B SaaS platforms · An error-budget view helps balance shipping speed against reliability, deliberately.
Teams without a formal on-call today · A defined escalation path gets built from the ground up, so an alert always reaches someone.
Want to hear about downtime before your users do?
Tell us what 'working' means for your service — we'll set up the health checks, alert thresholds, and escalation path to catch a slip early.
Why us for this
We define 'working' around real users
Checks target the flows that matter to a customer, well past whether a homepage returns 200.
We keep tuning thresholds after setup
Alert calibration keeps up with your traffic instead of drifting into noise or blind spots.
We build escalation that actually routes
A fired alert is designed to reach a responder, with severity-based prioritization.
We track reliability as a trend
An error-budget view shows whether the service is getting more or less dependable over time.
We're honest about what monitoring promises
The value is fast, structured detection and routing. We won't claim eyes on a screen every second.
We've caught the outage a shallow check would miss
Checkout-specific monitoring has found failures that a homepage ping reported as fully healthy.
Working with Flaidex
We monitor full flows, beyond single endpoints
A synthetic checkout run catches what a homepage ping structurally cannot.
We calibrate alerts to your real traffic
Thresholds are tuned so the team trusts an alert instead of learning to ignore it.
We build the escalation path with you
On-call structure and severity routing are defined together, fitted to how your team actually works.
We hand over a reliability picture you own
Availability history and error budgets give your team a shared, measurable signal.
We keep tuning as the system changes
Monitoring that was accurate six months ago can drift. We keep it matched to reality.
We're direct about detection versus prevention
Monitoring catches a slip fast; if the fix needs deeper reliability work, we'll say so.
Questions
Asked before we define “working”
How is this different from performance monitoring?
Uptime monitoring is about availability — is the service up, reachable, and responding at all — and about routing an incident to someone when it isn't. Performance monitoring is about speed when it is up: page load, query time, resource use. A service can be perfectly available and still frustratingly slow, or fast in tests and completely down for users. This service watches the availability question and the escalation that follows a slip, which is a different concern from tuning how fast a working service runs.
What happens when the service goes down in the middle of the night?
An alert fires and follows the escalation path we've set up with you. The value here is honest: detection and routing, not a guarantee of a person watching every minute. The monitoring catches the slip and pushes it through a defined on-call structure so it reaches whoever is designated to respond, prioritized by severity. We're building the mechanism that reliably surfaces and escalates an incident, not claiming continuous human eyes on a dashboard around the clock.
What is an error budget and why would we want one?
An error budget is a way of treating reliability as something you can spend rather than a demand for flawlessness. It frames a tolerable amount of unreliability over a period, which gives the team a shared, measurable signal: if the service is well within budget, there's room to move faster; if it's burning through, reliability work takes priority. It turns 'is it reliable enough' from an argument into a number the team can actually reason about together.
How do you decide what counts as 'down'?
By defining the signals that represent a working service for your users, not just whether a server is powered on. A homepage that loads while the checkout is broken isn't really 'up' for a store. We identify the endpoints and health signals that actually matter — the ones tied to what users need to do — and monitor those, so an alert reflects a genuine problem rather than a technicality, and a real degradation isn't missed because a shallow ping still succeeded.
Why does the escalation path matter as much as the monitoring?
Because an alert nobody sees is the same as no alert at all. Plenty of incidents are detected perfectly and then sit unread in a channel while the outage continues, because there was no clear owner or route. The escalation path and on-call structure close that gap: they define who gets notified, in what order, and when to escalate further, so detection actually turns into response. Monitoring without a path to a responder is only half a system.
Let's talk
Running a large platform, shaping a first MVP, or getting a product ready for a funding round? Tell us where you are. We'll shape the process around it, and stay with you after launch.
