– OPERATIONS & RELIABILITY
Your Systems Are Running.
But Are They Performing?
There is a difference between a system being online and a system delivering revenue. Most organisations have no way to tell which one they have — until a report comes back short.
YOU MIGHT BE HERE IF…
- Your systems are live, but nobody owns them day-to-day
- Incidents surface through complaints, not monitoring
- Your teams are creating bandaid fixes, rather than identifying the true root cause
- Leadership can’t get a straight answer on whether it’s working
- You’ve spent significantly on system deployment and confused as to why there’s a low percentage variance in month-to-month sales
These aren’t failures. They’re the predictable consequences of deploying a complex system without operational framework or observability behind it.
Running and Performing Are Not the Same Thing
Most organisations monitor uptime — whether the system is on or off. Nobody defines what performance actually looks like: acceptable transaction success rates, response time thresholds, output quality baselines.
Without that, degradation is invisible. A terminal processing at 80% capacity looks identical to one at 100%. You have no way to know the difference — until the P&L tells you.
System failure doesn’t always announce itself. It bleeds. A 3% drop in throughput. A 4-second increase in response time at peak hour. Five terminals failing silently across three sites.
Each one individually looks like noise. Collectively they represent material revenue loss that won’t surface until your finance team reconciles the numbers — days or weeks after the window to act has closed.
When a system degrades without defined incident ownership, the first 30–60 minutes are spent working out who should be on the call. Wrong people get escalated to. Right people find out last. No playbook exists.
Every decision is made under pressure for the first time. That improvisation has a dollar figure — measured in minutes between detection and containment, multiplied by your revenue per hour.
“Production systems are like an F1 car mid-race. When something goes wrong, every second costs. A garage mechanic doesn’t have the tools, the frameworks, or the instincts to fix it fast — or to fix it gracefully without losing the whole race. That’s exactly where we come in”
— Dean Baron, Datastone Founder.
The Operational Layer Most Businesses Never Built
See it before it costs you
We define what good looks like for your systems — revenue per terminal, transaction success rate, response times that matter to your business. Then we watch it continuously. When something drifts, you find out in minutes. Not Monday.
Stop it before it compounds
A tested playbook. Named owners. When something breaks your team doesn’t scramble to work out who to call — they execute. Containment measured in minutes. Not the hours it takes to find the right person under pressure.
Prove it’s working
Monthly reporting in plain language. What your systems delivered. What they didn’t. What it cost. What comes next. The standing record that answers the board question before anyone asks it.
From Diagnosis to
Operational Control
Operations Audit
A structured assessment of your operations landscape — what’s deployed, how it’s monitored, who owns it, and where the operational gaps are. Delivered as a clear report with prioritised findings.
Monitoring Framework
Design and implementation of observability for your subsystems. Performance baselines, latency detection, alerting, and the dashboards your team actually needs.
Incident Playbook
Defined ownership, escalation paths, and response protocols. Built for your environment, tested before it matters, so your team isn’t making decisions under pressure for the first time.
Ongoing Operations
For organisations that want a sustained operational partner — not a one-time consultant. We become the reliability function your technology deployment never had.
Start With One Site. Know the Truth First.
Enterprise AI deployment has a structural gap that most organisations don’t discover until they’re inside it. The technology arrives. The vendor moves on. And the business is left holding something powerful, expensive, and largely unmanaged.
PROJECT ENGAGEMENT
AI Operations Diagnostic & Build
A defined-scope engagement that delivers the operational framework your AI deployment is missing. Starts with a thorough audit, ends with a working system — monitoring, playbooks, ownership, and a team that knows how to use them.
ONGOING RETAINER
AI Reliability Partner
For organisations that want sustained operational expertise without building a full internal function. We become the reliability layer for your AI systems — monitoring, responding, iterating, and reporting on an ongoing basis.
Where Silent Failure Has Real Financial Consequences
Financial Services
Firms running automated decision systems in client-facing or revenue-generating contexts. ASIC REP 798, CPS 230, and FAR require demonstrable operational control. We build it before you’re asked to show it.
Multi-Site Operators
Hospitality, retail, entertainment, and FEC operators running distributed payment and booking infrastructure. When 5% of terminals fail silently at peak hour the revenue loss is real — but invisible until Monday’s report.
Legal & Professional Services
Practices where system degradation directly impacts client delivery, billing accuracy, and professional liability. The cost of failure is measured in client relationships, not just downtime hours.
Enterprise Operations
Practices where system degradation directly impacts client delivery, billing accuracy, and professional liability. The cost of failure is measured in client relationships, not just downtime hours.
— WHY DATASTONE
This Isn’t Theory.
We’ve Lived This at Scale.
Eight years managing 35,000+ production systems at Google across APAC. Where reliability isn’t aspirational — it’s a contractual obligation, and a missed alert doesn’t produce a ticket. It produces a financial post-mortem.
35K+
Systems managed at Google scale
8 yrs
Enterprise operations experience
APAC
Multi-region operational footprint
SRE
Google-oriented discipline
| Without Datastone | With Datastone |
|---|---|
| No performance baseline — degradation invisible | Thresholds defined — deviation is measurable |
| Revenue loss found in weekly reports | Detected in minutes — before business impact |
| No defined incident owner | Clear ownership and tested playbooks |
| Uptime monitored only | Revenue delivery monitored continuously |
| Outage cost unknown until P&L review | Financial impact reported monthly |
| Success measured at go-live | Success measured in sustained performance |
This Is What It Looks Like In Practice
A multi-site operator. 80+ payment terminals. No centralised monitoring.
$340k in undetected revenue loss before anyone noticed.
READY TO EXPERIENCE THE DIFFERENCE?
Your Systems Are Running Right Now.
The Question Is Whether They’re Performing?
Free 30-minute consultation • No obligation • Brisbane-based team