SREOps · Quiet reliability

Reliability before
the page fires.

The best incidents are the ones nobody has. Cindy watches the shape of your traffic, the behavior of your dependencies, and the small early signals that usually only mean something in hindsight. Cindy will mention them at the time, not the day after.

cindy · watching LIVE
01
Traffic looks normal
within the usual band
CALM
02
Latency is where it should be
no curves bending
CALM
03
Listening to the early signals
the small ones before the big
LISTENING
04
One service is starting to lean
not yet a problem; worth noting
NOTING
05
Headroom kept in reserve
in case the lean turns into more
READY

Your reliability stack is paying a tax, in alerts, MTTR, and lost revenue.

Three SREOps pains, one root cause: signals are everywhere, but the connection between cause, impact, and revenue is missing.

2–3 days
is what a thorough RCA takes
By the time you know what caused the outage, the customers, the revenue, and the SLO have already taken the hit.
“By the time we know why it happened, we're already explaining it to the board.”
27 min
of every incident is handoff time
Twenty minutes finding the right team, seven more deciding what to do. By the time someone is fixing it, the SLA window is half gone.
“Every page starts with 'who owns this?' and ends with 'we'll fix it tomorrow.'”
$300K/hr
is what an outage costs at scale
Tier-1 services lose revenue by the minute. Yet alerts are ranked by severity, not exposure, so on-call chases noise while real money walks out.
“We found out from Twitter, not the dashboard.”

Reliability is the work you do before the incident.

Most reliability tools are good at telling you what just broke. The rare ones are good at telling you what is about to. Cindy is interested in the second kind of question.

The early signal

The kind of small change that usually only matters in hindsight, surfaced when there is still time to do something about it.

Correlated, before you ask

When something is wrong, the operational context is already connected: the neighbors, the recent changes, the dependencies, in one place.

Capacity, before the day

The question "will today hold up?" answered the day before. With the headroom needed, the cost of getting it, the time it takes.

Runbooks Cindy remembers

The runbooks your team wrote, and forgot they wrote. Cindy keeps them ready. When the moment arrives, the steps are at hand.

Postmortems half-written

When something does happen, the timeline is already laid out. The change that did it, what it touched, the response, assembled while everyone's adrenaline cools.

The quiet, all the time

The boring days, the ones nothing happens on, are also watched. Reliability is what shows up most when nothing else does.

Outcomes an SRE leader measures

60 min
RCA delivered before the incident fires
faster MTTR with business-impact triage
99.99%+
uptime achievable on the workloads that matter
0
tools ripped out; BYOT preserves your stack
Same observability tools you already trust. Predictive RCA layered on top. Revenue-aware triage built in.

"Are we going to survive today's traffic?" A forecast, not a guess.

A traffic event is approaching. Cindy compares what is coming to what you have, names the two places where the load will pinch, and proposes a measured response, far enough in advance that everyone can sleep.

cindy · in conversation LIVE
> will we survive today's peak?
[LOOKING] Comparing expected demand with available capacity. Most of it, comfortably yes.
> the parts where it's not comfortable?
Two services will lean before the rest. [FIRST] Checkout hits its scaling ceiling first. [SECOND] The data path behind it runs out of room before it runs out of compute.
> and the answer is?
[RECOMMENDED] Raise the ceiling on the first, add headroom on the second, forty-eight hours ahead. Staged for approval: a second set of eyes signs before anything moves, then it reverts on schedule once peak passes. Modest extra cost; everyone sleeps.
~22%
Today, would fail
<1%
After the change
48h
Lead time
Where the load would pinch
checkout · its scaling ceiling is the first wallfirst
the data path behind it · runs out of roomsecond
everything else · comfortablefine
cost guardrail intactin budget
Sovereignty by design
Our own purpose-built LLM, hosted in your data center.
Your data remains yours
Your telemetry, traces, and incident data never leave your perimeter.
Zero hallucination
Cindy answers operational questions from your own data, grounded in what is real.
Bring your own tools
Datadog, PagerDuty, New Relic, your APM stay in place. EveryOps sits on top.

See EveryOps run on your operations.

You just watched the scenario. Book a demo and we will point Cindy at a slice of your real stack. You decide nothing until you have seen exactly what Cindy recommends.

Ask Cindy about your peak.

Point Cindy at a stretch of your traffic. Let Cindy show you where Cindy sees risk first. Decide nothing until you see Cindy's reasoning.