Developer Tools
Build a custom load testing and performance monitoring platform
Kliv is an AI app builder. Describe how your team records load-test runs, baselines, budgets, and alerts, and it builds the performance desk around those rules.
Just enter your idea into the text box and AI will build it for you
What is Kliv?
Kliv isn’t a monitoring vendor with a fixed dashboard — it’s an AI that builds software for you.
You describe the app you need in plain words, and Kliv builds it: the data, the logic, the screens, and the workflows. You own the result, run it on your own accounts, and can change it later by asking. It isn’t a template dashboard.
On this page, that app is a load testing and performance monitoring platform. Kliv builds all kinds of web apps; this is one example for developer teams that already run load tests and need a system of record.
Why performance numbers die in CI logs
Your load generator may already produce useful numbers: nightly soak runs, pre-release spike tests, p95 latency, p99 latency, throughput, and error rates. The problem is where those numbers go. CI logs and artifacts are hard to query six weeks later.
Kliv builds the desk those numbers need. Runs become rows, endpoints carry budgets, releases get baselines, and Slack alerts name the endpoint and commit range when a number drifts.
What the perf desk records
Six records create the discipline around the numbers.
The run
Scenario name, commit SHA, duration, and environment land as one row per run, posted by your load tool when it finishes.
The series
p50, p95, p99, error rate, and throughput are stored per endpoint and per run, so they are queryable as data.
The baseline
Each release can bless one run as the reference. Drift is measured from that baseline.
The budget
Checkout can get 400 ms at p95, search can get 250 ms, and a breach carries the measured number and allowed number.
The incident note
Lessons from a bad Friday can sit next to the runs that prove them, so the history survives the on-call rotation.
The release gate
Each release can have checklist rows for soak green, budgets honored, and baseline blessed.
The dashboard on game night
The team stops improvising when the numbers have a home.
Trends without CSV exports
Eighteen weeks of checkout p95 can be read from the runs table and shown on one chart.
Alerts that name the culprit
When a budget breaks, Slack can say checkout, p95, 460 against 400, and the commit range between baseline and offender.
Roles for the whole room
Product managers can read dashboards, while the platform team edits budgets and blesses baselines.
Nightly soak filed automatically
A scheduled job can sweep each night’s run into the desk and prune expired data. Monday starts with the weekend already filed.
History that leaves with you
Runs, baselines, and incident notes are rows in a database the team owns and can query from its own tools.
An example: Sam’s grocery-delivery team
Here’s how one engineering team might use it. It’s only an example — you would describe your own load generator, endpoints, budgets, baselines, and alert rules.
A k6 run posts structured data
Sam’s nightly k6 soak finishes and posts p50, p95, p99, error rate, throughput, commit SHA, environment, and endpoint to the typed ingest endpoint.
The release baseline is explicit
Before a release, the platform team blesses one clean run as the baseline. Future drift is measured from that run, not from memory.
Endpoint budgets make the alert specific
Checkout has a 400 ms p95 budget and search has 250 ms. The run stores both the measured number and the budget it is checked against.
Slack names the broken budget
When checkout p95 hits 460 ms, the app posts to #perf with the endpoint, percentile, measured value, allowed value, and commit range.
The release gate has evidence
The go/no-go checklist can show soak green, budgets honored, and baseline blessed. If a budget fails, the release conversation starts from a record.
Describe what you want to build
Kliv builds from your description, so the more detail you give, the closer the first version. Include ingest fields, budgets, baselines, dashboards, roles, and alerts. Here are three to build on:
Team perf desk
Typed ingest, baselines, Slack breaches.
“Build a performance-monitoring hub for our grocery-delivery app. Let k6 post p50, p95, p99, error rate, throughput, commit SHA, environment, and endpoint to a typed API. Bless one baseline per release, set checkout p95 budget to 400 ms and search p95 to 250 ms, and alert #perf when a budget breaks with endpoint, measured value, allowed value, and commit range.”
Latency budget tracker
A budget per service, tickets on breach.
“Build a latency budget tracker for our microservices. Each service owns a p95 budget and an error-rate budget. Show weekly trend charts from run history, let platform engineers edit budgets, and open a ticket with the offending endpoint and run ID when a breach stays open for two runs.”
Peak-season war room
Soak results and go/no-go list.
“Build a peak-readiness dashboard for our holiday traffic freeze. Ingest nightly soak results, show p95 and error-rate trends by endpoint, track a go/no-go checklist with owner and due date, and send Slack alerts when a required release gate is still red 48 hours before freeze.”
Wired for the on-call week
The ingest is typed. Your k6 script can post summary JSON to a server-side function with a typed contract. Malformed runs are rejected with a reason.
The alert argues its own case. A Slack alert can include endpoint, measured number, budget, and commit range, so the on-call engineer starts from facts.
The desk arrives with tests. Kliv writes unit tests while it builds. Percentile math, budget comparisons, and gate logic can come with a green suite, and Scenario tests can drive the dashboard in a browser.
How Kliv proves the apps it builds — Scenarios, receipts of side effects, and publish gates — has its own page: the testing page.
Common questions
What exactly is Kliv?
Kliv is an AI app builder. You describe the custom web app you need, it builds it, and you own the result. For performance work, that means ingest endpoints, run history, budgets, baselines, dashboards, and alerts.
Do I get a real app, or a template?
A real app. Kliv builds the database, typed functions, dashboards, roles, and alert workflows for your team.
Can I change it after it’s built?
Yes. You can add metrics, change budgets, add dashboards, adjust Slack alerts, or connect another load tool later.
Does Kliv run the load tests?
No. k6, JMeter, or whatever you use stays yours. Kliv builds the system of record around the results.
What happens when a budget breaks at 2 a.m.?
The breach is recorded on the run, and Slack gets the specifics: endpoint, percentile, measured value, allowed value, and commit range.
Can product managers see dashboards without editing budgets?
Yes. Roles can split reading from writing: dashboards for many people, budget edits and baseline approval for the platform team.
Is our performance history locked in?
No. It is rows in a database the team owns, queryable from the app and exportable for your own analysis.
Can it reject malformed ingest payloads?
Yes. The source page calls for a typed ingest function, so bad payloads can be refused with a reason instead of polluting the run history.
Can it open tickets when budgets fail?
Yes, if you describe that workflow. The prompt examples include breaches opening a ticket with the offending endpoint attached.
Can I use my own domain?
Yes. The performance desk can run on your own domain with sign-in for your team.
Can I move off Kliv later?
Yes. The app’s code syncs to your own Git repository, so leaving is a git pull rather than a rebuild.
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Give the numbers a system of record
Describe your load-test runs, budgets, baselines, dashboards, and alerts. Kliv builds the performance desk around them.
