Every uptime check records how long your server took to answer. Add any number from your code, like queue depth or failed payments, with one line.
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Queue depth creeps up before the worker stalls. Failed payments pile up before anyone writes in. Send those numbers from your code and watch them move.
Every HTTP check records how long your endpoint took to answer. No answer within 10 seconds counts as down and sends the alert.
Call setMetric or mutateMetric where the number changes. A new name shows up in your dashboard the first time you send it.
Set a gauge like active users to an exact value. Mutate a counter like sign-ups by any amount, up or down.
Values stream into the dashboard while you watch. Each metric keeps its current value on a tile, with no refresh needed.
Zoom from per-minute detail for the last hour to daily points. Your plan sets how far back you can look, up to 30 days.
Metric tiles sit on the same screen as your logs, so a spike and the error behind it are side by side.
No agent to run, no dashboard to build. Charts appear with the first value.
Sign in with GitHub or Google and copy your domain's ingest key from its settings. Every app on the domain sends with that one key and gets its own set of metrics.
Install the SDK for your language and create the client with your API key. Or copy the setup prompt and let your AI assistant wire it in.
Call setMetric or mutateMetric where the value changes. The metric gets its own tile and charts within seconds of the first value.
Install @logdash/node, create the client with your API key, then set or mutate any metric in one line. Python, Go, .NET, Java, Rust, Ruby and PHP work the same way.
Browse all SDKsimport { Logdash } from '@logdash/node';
const logdash = new Logdash(process.env.LOGDASH_API_KEY);
// to set absolute value
logdash.setMetric('users', 0);
// to modify existing metric
logdash.mutateMetric('users', 1);Works with your stack
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