Technology & telecom
Service reliability forecasting
Anticipate latency, errors, incidents, and service-level risk before users are affected.
Sound familiar?
- Incidents that telemetry saw coming and nobody acted on
- Error budgets burned during events everyone knew about
- Capacity reviewed in the postmortem instead of before the event
Incident and latency risk
SLO-breach probability · Live forecast
Driver
Traffic
Driver
Latency
Driver
Error rate
Forecast horizon
Minutes–30 days
Refresh cadence
Streaming
Built for
Site reliability · Platform engineering
What you can predict
One forecast can answer several operational questions.
Combine telemetry, deployment history, traffic, dependency health, resource saturation, and change events to forecast operational risk by service and region.
Latency and error volume
Incident probability
SLO breach risk
Support demand
Questions teams need answered
- Which service is most likely to degrade?
- When will an SLO become exposed?
- What change increased risk?
- How much capacity would reduce the probability?
Data that can improve the forecast
Start with the history you already have. Add internal or external drivers only when backtesting shows that they improve the forecast on held-out periods.
What-if planning
Test a change before committing to it.
Compare a proposed change with the current baseline. See the expected direction, timing, range, and the assumptions behind the result.
Traffic doubles during an event
Estimate latency and SLO-breach probability
Delay a deployment
Compare operational risk across windows
Incident and latency risk
SLO-breach probability · Scenario comparison
What if
Traffic doubles during an event?
Driver
Traffic
Driver
Latency
Driver
Error rate
From forecast to action
Keep the people making the decision in the loop.
01 · MONITOR
Forecast continuously
Refresh incident and latency risk on a streaming cadence as new data arrives.
02 · NOTIFY
Alert on meaningful changes
- SLO-breach probability crosses policy
- A dependency creates elevated incident risk
03 · DECIDE
Put the result to work
Build a service reliability forecast with your data.
Start with sample data, connect your own history, or talk with us about your target, horizon, and production requirements.