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API Latency Budget Planner

· Last updated:2026-06-25

Plan and visualise an API latency budget. Enter a P99 target (e.g. ≤ 300ms) and per-stage allocations (DNS, TCP, TLS, TTFB, Processing, Network) to see a live waterfall, budget utilisation, and over-budget warnings. Optionally paste an OpenTelemetry or Datadog trace to reverse-engineer a measured allocation.

Details

What this tool helps you do

An SLO / performance-budget planner for SREs and API designers:

  1. Total budget — set the P99 target (e.g. 300ms). Optionally pick a service-level objective label (P50/P90/P99/P99.9) shown in the summary.
  2. Stage allocation — list each request stage and its budgeted milliseconds, one per line, e.g. DNS=5, TLS=20, TTFB=80, Processing=120.
  3. Waterfall — a colour-coded bar chart shows each stage's share of the budget. Stages over a 35% soft cap are flagged red.
  4. Headroom & over-budget — the summary reports how much budget is used and whether you are within or over the target, with a proportional reallocation suggestion.
  5. Trace import — paste an OpenTelemetry or Datadog trace (JSON) and the tool extracts per-span durations, buckets by name, and suggests an initial allocation derived from real measurements.

All computation runs locally in the browser.

Execution

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Samples

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Written by the Elysia Tools team
API35

Tool usage guide

Learn when to use this tool, what it supports, and how real users apply it.

Key facts

Category
Development
Input types
number, textarea, select
Output type
html
Sample coverage
4
API ready
Yes

Overview

The API Latency Budget Planner helps SREs and API designers plan, visualize, and optimize request latency budgets against service-level objectives (SLOs). By defining a target budget (such as P99 ≤ 300ms) and allocating milliseconds to specific request stages like DNS, TCP, TLS, TTFB, Processing, and Network, you can instantly generate a color-coded waterfall chart, monitor budget utilization, and import OpenTelemetry or Datadog traces to align your budget with real-world performance measurements.

When to use

  • Designing a new microservice API and establishing latency SLO targets for individual network and processing stages.
  • Debugging an API that is exceeding its P99 latency budget and needing to identify which stage is consuming the most headroom.
  • Translating raw OpenTelemetry or Datadog trace spans into a structured, visual latency budget for team alignment.

How it works

  1. 1Set your total latency budget target in milliseconds and select your target service-level objective (such as P50, P90, or P99).
  2. 2Enter your stage allocations (e.g., DNS, TCP, TLS, TTFB, Processing, Network) using the name=ms format, one per line.
  3. 3Optionally paste an OpenTelemetry or Datadog trace JSON to extract real span durations and compare them against your budget.
  4. 4Review the live waterfall chart, budget utilization summary, and warnings for any stages exceeding the 35% soft cap.

Use cases

  • Establishing baseline latency budgets for multi-region API gateways during the architecture phase.
  • Analyzing production performance bottlenecks by comparing Datadog trace JSONs against target SLOs.
  • Proportionally reallocating latency budgets for downstream microservices when upstream processing times increase.

Compare alternatives

  • Generate cURL and common language code snippets from a request URL, method, headers, query parameters, and body

  • Rewrites span/log attribute names across OpenTelemetry semantic-convention versions: http.method → http.request.method, http.status_code → http.response.stat…

  • Turn an OpenAPI 3.x or Swagger 2.0 spec (JSON/YAML) into an importable Postman Collection v2.1.0 with folders, variables, auth and example responses.

Who it's for

Best for

  • Convert content in the browser.
  • Workflows where Service-level objective matters, such as P50 (median) ≤ 100ms or P90 ≤ 200ms.
  • The “API gateway: 300ms P99 budget” workflow, done in one pass.

Not ideal for

  • Fully automated batch jobs — this page is built for interactive use; use the API endpoint for scripts.
  • Content in other formats — this tool expects content.

Edge cases & common failures

  • Very large files

    Large files take longer and can hit browser memory limits — try a smaller sample first.

  • Skipping the output check

    Compare the first rows or pages of the output with the input before using it in production.

  • Files from unusual exporters

    Some files use format variants that do not convert cleanly — if the output looks wrong, re-save the file from the app that created it and try again.

Examples

1. Designing a 300ms P99 Budget for a Public API Gateway

API Architect

Background

An architect needs to define latency limits for a new public API gateway to ensure the overall P99 response time stays under 300ms.

Problem

Manually calculating and visualizing how much latency can be allocated to network handshakes versus backend processing.

How to use

Set the total latency budget to 300ms, select the P99 SLO, and input the estimated stage allocations for DNS, TCP, TLS, TTFB, Processing, and Network.

Budget: 300
SLO: P99
Allocation:
DNS=5
TCP=10
TLS=20
TTFB=80
Processing=120
Network=40

Outcome

A visual waterfall chart showing 275ms of the 300ms budget used, leaving 25ms of headroom, with no individual stage exceeding the 35% soft cap.

2. Diagnosing Latency Budget Overruns via OpenTelemetry Trace

Site Reliability Engineer

Background

A critical endpoint is violating its 200ms P99 latency SLO, and the team needs to pinpoint the culprit using a raw trace export.

Problem

Extracting actionable stage-by-stage latency allocations from a complex OpenTelemetry JSON trace.

FAQ

What is an API latency budget?

It is the allocation of maximum allowable response times across different stages of an API request (like DNS lookup, TLS handshake, and database processing) to meet an overall SLO target.

How does the trace import feature work?

You can paste a JSON trace from OpenTelemetry or Datadog. The tool parses the span durations, groups them by name, and suggests a baseline allocation based on those real measurements.

Why are some stages highlighted in red in the waterfall chart?

Stages that consume more than 35% of the total latency budget are flagged with a red warning to highlight potential performance bottlenecks.

What happens if my allocations exceed the total budget?

The planner displays an over-budget warning, calculates the excess milliseconds, and suggests a proportional reallocation to bring the stages back within the target.

Is my trace data sent to any external servers?

No. All calculations, trace parsing, and waterfall rendering are performed locally in your web browser for complete data privacy.

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SLO: P99
Trace: {"spans":[{"name":"tls","duration":"25000000"},{"name":"ttfb","duration":"90000000"},{"name":"db","duration":"70000000"}]}

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