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SLA Chain Visualizer

Model required-path reliability, error-budget fit, and the assumptions behind a service objective.

EngineeringBackendArchitectureReliability
RELIABILITY BUDGET LAB
Try a scenario
99.90%
Measurement window

SLI is what is measured. SLO is the selected target. SLA is a formal commitment with defined terms. This tool displays a simplified modeled reliability, never a contractual SLA.

Dependency 1
99.95%
Dependency 2
99.99%
Dependency 3
99.90%
USER OBJECTIVE → REQUIRED DEPENDENCIES → MODELED END-TO-END AVAILABILITY → ERROR BUDGET
required-path availabilityAPI99.95% · requiredService A99.99% · requiredDatabase99.90% · requiredMODELED END-TO-END 99.840%target 99.900%
Modeled availability
99.840%
3 required dependencies
Gap to target
0.060 percentage points
simplified model misses target
Target error budget
43.2m
99.900% over 30 days
Modeled unavailable time
1.2h
25.9m over budget
Largest reliability contributor
Database
99.900% lowest required assumption
Reliability translator · 30 days: 99% = 7.2h, 99.9% = 43.2m, 99.99% = 4.3m, 99.999% = 26s modeled unavailable time. These are availability budgets for the selected window, not claims about latency or planned downtime.
Current vs degraded-response comparison: If Database can genuinely be optional, modeled availability becomes 99.940%. This is a comparison, not a recommendation to remove it.
✕
This simplified model does not meet the selected target
The modeled path is 99.840% against a 99.900% objective. Database is the lowest-availability required assumption, not a proven production root cause.
ℹ
Independence and measurement assumptions
Required availability values are multiplied as a simplified binary model. Vendor terms, measurement windows, exclusions, fallback behavior, and correlation mean this is not a guaranteed customer SLA.
Result
The selected objective is 99.900% over 30 days; the required path models 99.840%.
Why it matters
Availability and latency are separate dimensions. A timeout is an operational limit, while an SLO is a target and an SLA is a defined commitment. Neither is derived automatically from the other.
Action
Inspect Database and the product contract before changing architecture. Higher availability can add cost and operational complexity.
What this tool does and why

Before you start

What

Model required-path reliability, error-budget fit, and the assumptions behind a service objective.

Why

A request path depends on every required component, so separate availability assumptions can combine into a different modeled service objective.

Your Result and Action update in the tool as you change its inputs.

Model note

This browser-side model explains the inputs you choose. Check an important decision against the real system, brief, or production constraints.

Save this tool and explore next steps
My Toolooo
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Latency & deadlines · Step 3 of 3

Can the complete service path meet its reliability objective?

Capacity planning · Step 3 of 3

Check the downstream time budget.

How this tool stays honest

How it works

Build a simplified required-dependency reliability model, compare it with a selected service objective across a defined window, make error-budget headroom visible, and surface optional-path and shared-failure assumptions without treating the result as a contractual SLA.

Assumptions

The tool runs in your browser and models the information you provide. It does not know facts outside that model.

Limitations

This is a simplified explanatory model, not a load test or production forecast. Real systems can include dependencies, distributions, failures, and feedback loops outside the selected inputs.

Understand SLA Chain Visualizer

What this tool helps you understand

Build a simplified required-dependency reliability model, compare it with a selected service objective across a defined window, make error-budget headroom visible, and surface optional-path and shared-failure assumptions without treating the result as a contractual SLA.

When to use it

When reviewing availability assumptions across a required request path.

Try a scenario

Compare a path with two required dependencies to the same path with another required dependency. Review independence assumptions before relying on combined availability.

How to read the result

Compare the shape and direction of different scenarios. The useful signal is how the result changes when an input changes, rather than one isolated number.

Assumptions and limits

This is a simplified explanatory model, not a load test or production forecast. Real systems can include dependencies, distributions, failures, and feedback loops outside the selected inputs.

Toolooo is part of Khizooology, created byKhizar Imtiaz (khizooo).