FractAi
All systems operational

Real uptime is competitive advantage, not an IT item.

Every minute of downtime costs revenue, leads and trust. Our operation runs on redundant architecture, monitored 24/7, with tested runbooks. Track everything here, in real time.

  • 99.9% target
  • Alerts in 60s
  • Public postmortem
Uptime · 90 days
Live
99,98%
p95 Latency (ms)−18%

Uptime

99,98%

MTTR

12 min

Incidents

0

  • Zero risk

    Free initial diagnostic, no commitment.

  • Full refund

    Not satisfied? You don't pay.

  • Double guarantee

    Applied everything and no results? +$5,000 in consulting.

The price of going down

Downtime is not an IT problem. It's a cash problem.

USD 0/min

Median downtime cost per minute at mid-to-large enterprises (2024 median)

Source: ITIC Hourly Cost of Downtime 2024

0%

Of organizations had their most recent incident cost above $100k

Source: Uptime Institute Annual Outage Analysis 2024

USD 0.00M

Average global cost of a data breach (related to downtime and recovery)

Source: IBM Cost of a Data Breach 2024

0 in 4

IT incidents exceed $1M in total losses

Source: Uptime Institute 2024
SRE team in war room responding to an incident

Those who've lived it never forget

Going down at the worst moment is not bad luck. It's lack of process.

Three scenes that repeat in every team that still treats reliability as a matter of chance.

Friday, Black Friday, 8:12 PM.

Checkout starts to choke. The team doesn't know if it's the gateway, the bank or the frontend. Every minute, thousands of orders become abandoned carts and support tickets.

Saturday, 2:40 AM.

With no runbook, the team acts by trial and error. The CFO wakes up to requests for status updates. The CMO rewrites the email campaign while the product is still unstable.

After adopting SRE.

Alert fires in 60 seconds. Runbook opens directly in Slack. Mitigation in 12 minutes. Public postmortem on Monday. The customer never knew there was an incident.

The math that matters

Uptimeisrevenue.Downtimeiscost.

Every minute of downtime is margin that evaporates. Every extra nine is predictability that flows into cash.

No sign-up · 60 seconds

What is your reliability culture?

Five questions. Instant result. Use it to start a conversation with your team.

1 of 5

How many nines of availability are you delivering today?

Quick test

6 myths about uptime and SRE. How many do you get right?

True or false. Each answer comes with a practical insight.

Question 1 of 6Correct: 0

A 99.9% SLA allows approximately 8h46min of downtime per year.

How we sustain real uptime

Eight SRE practices running every day, not just during incidents.

End-to-end observability

Correlated metrics, logs and traces. You see cause and effect, not just symptoms.

Layered redundancy

Database, application, CDN and DNS with failover. One component failing doesn't bring down the service.

Actionable alerts

Only alerts with runbooks. Noise ends, signal remains. Rotating and well-defined on-call.

Tested runbooks

Procedure per incident type, with periodic simulation drills. When things go wrong, the team already knows what to do.

Safe deployment

Canary releases, feature flags and one-click rollback. Shipping stops being a risky event.

Backups with tested restores

Having a backup isn't enough. We restore to an isolated environment every month to guarantee real RPO.

Blameless postmortem

Each incident becomes documented learning and a preventive action in the backlog.

Public communication

Status page and email to active clients during and after the event. No grey zone.

Reliability pipeline

From signal to resolution, without improvisation.

Logs & metrics

Actionable alert

Tested runbook

Measured resolution

Transparent history

Last 90 days of each service.

Tap a service to view its timeline. Each square is a day.

Institutional website · 90 days

99.96% operational

No incident
≥ 99.95%99.8% — 99.95%≤ 99.8%
90 days ago → today

Anatomy of a well-handled incident

25 minutes from alert to postmortem.

I want this workflow in my team
T+0

Detection

5xx error metric crosses the budget. Alert fires to the right channel.

T+2min

Paging

On-call receives push notification. Severity defined. Stakeholders notified.

T+5min

Runbook

Engineer opens the service runbook. Tested steps, no improvisation.

T+12min

Mitigation

Automatic rollback on the suspect deploy. Traffic shifted to healthy region.

T+25min

Resolution

Error returns to baseline. Internal and external communication confirmed.

T+24h

Postmortem

Blameless analysis, root cause documented, 3 actions to prevent recurrence.

Professionals sealing a partnership in a reliable operation

Free resource

27-Point SaaS Reliability Checklist

Seven categories: observability, alerts, runbooks, redundancy, deployment, backups and postmortem. Get the PDF by email.

You only provide name, email and phone. No cost, no commitment.

Maturity diagnostic

Where your reliability stands today, by axis.

Adjust the sliders. The chart responds in real time.

Monitoring

45%

Metrics, logs, traces, dashboards.

Alerts

35%

On-call, controlled noise, clear actions.

Runbooks

30%

Procedure per incident type, tested.

Redundancy

40%

One component fails without total outage.

Postmortems

25%

Blameless, with backlog action items.

SLA / SLO

40%

Clear agreements, actually measured.

Overall level

Maturing · 36%

Downtime cost simulator

How much does your operation lose per year at each uptime level?

Calculation based on annual hours of unavailability per SLA level and your estimated hourly revenue. Reference: high availability table.

$20,000 / hour

Today (99%)

$1,752,000

If you reach 99.99%

$17,520

Potential annual savings: $1,734,480. Illustrative values.

Estimated annual downtime cost by SLA level.

Before and after

From dashboard on fire to silent cockpit.

Drag the handle. On the left, the scenario draining cash. On the right, the operation restoring predictability.

Monitoring dashboard in critical state with multiple red alerts
Stable operations cockpit with healthy indicators
After
Before

Current known state

All systems operational.

We monitor continuously. This page reflects the current state in near real time.

Services
  • Institutional website
    Operational
  • Leads platform
    Operational
  • CRM integrations
    Operational
  • Edge functions & APIs
    Operational
  • Dashboards & BI
    Operational

In case of an incident, we publish communication here and notify active clients by email.

What the market has recorded

Not opinion. Public reports.

Every number below has a traceable source. Click and verify.

Market data

Three charts that explain why reliability has become a priority.

Public and verifiable sources. Click to open.

Technical ecosystem we operate day-to-day

AWSGCPAzureDatadogGrafanaPrometheusPagerDutyOpenTelemetryKubernetesTerraformGitHub ActionsCloudflareAWSGCPAzureDatadogGrafanaPrometheusPagerDutyOpenTelemetryKubernetesTerraformGitHub ActionsCloudflare

Brands referenced as technical ecosystem, without implying commercial partnership.

SRE team in a collaborative environment

Email mini-course

5 SRE lessons for product teams, one per day

SLOs, error budgets, human on-call, runbooks and blameless postmortems. Short lessons with real-world examples.

You only provide name, email and phone. No cost, no commitment.

How we respond to incidents

From detection to public postmortem, in hours.

When something goes wrong, the clock doesn't stop. That's why the process is trained and timed.

≤ 60s

Detection

Metric outside baseline triggers an alert.

≤ 2 min

Alert

On-call receives in Slack with runbook attached.

≤ 15 min

Mitigation

Rollback, flag or failover. Service stabilizes.

≤ 48h

Postmortem

Root cause and preventive action published.

Reliability engineer on night watch in front of multiple monitors

Behind the nines

Behind every nine, someone awake at 3am.

Reliability isn't just tooling. It's process, on-call shifts, tested runbooks and a blameless culture. We operate this human side so your team can sleep.

Operations in real time

Cockpit on. Human teams in command.

Triple guarantee

If it doesn't work out, the loss is ours.

Three written commitments from FractAi, valid from the moment you sign.

Zero Risk

You start without paying anything.

The first cycle is only charged after the initial delivery is validated with your team. If there is no delivery, there is no charge.

Full Refund

Thirty days to decide.

If within 30 days of signing you are not satisfied, we refund 100% of the amount paid. No fine print.

Double guarantee

$5,000 extra if we don't deliver results.

Applied all the guidance from the engagement and didn't hit the agreed result? We refund your investment and add an additional $5,000 in consulting.

I want to talk to FractAi

Commercial commitment by FractAi. Exact terms are formalized in the contract.

Zero risk

Free diagnostic, no contractual obligation.

Full refund

Not satisfied? We refund your investment.

Double guarantee

Applied everything and no results? +$5,000 in consulting.

Frequently asked questions

What usually stalls the decision.

Thirty days to leave improvisation behind. No risk on your side.

Start with the free diagnostic. Within 24 business hours you receive a plan with scope, timeline and investment. If it doesn't make sense, you keep the material.

Zero risk · full refund · $5,000 double guarantee.