Your app throws an error. ZipLogger reads the stack trace, blames your git history, and hands you the commit, the author, and an AI-written root-cause analysis.
Free forever plan · Nothing to install · Your data stays yours
Official SDKs for the stack you already have
Everything else ships logs and traces through OpenTelemetry, Fluent Bit, or the HTTP API.
Every log platform can show you the error. ZipLogger keeps going: it clusters the noise into a
pattern, parses the file:line frames out of the stack trace, runs git blame across
your connected repositories, and ranks the commits most likely to be responsible.
# 214 errors · 1 pattern · checkout-api 2.4.1
NullReference in PaymentProcessor.Charge()
Suspects (ranked):
1. a3f92c1 refactor currency handling
dana@acme · 2h before first error · score 0.91
2. 88d01ce bump payment SDK to 4.2
lee@acme · 2d before · score 0.34
AI: Currency can be null when the cart was
created before the deploy. Guard in
PaymentProcessor.Charge() or backfill carts.
One package for .NET, Python, Node.js, Go, Java, or the browser, or point your OpenTelemetry exporter at us. Two lines of setup.
builder.Logging.AddZipLogger(o =>
{
o.Endpoint = "https://app.ziplogger.ai";
o.ApiKey = "zk_...";
});
Logs stream in and are indexed for millisecond search, enriched automatically with the release, commit SHA, environment, and machine name. Your app never blocks or waits on us.
Connect a GitHub or GitLab repository, click an error, and ZipLogger traces it back to the commit that introduced it, with an AI explanation of why it broke.
One flat price covers all of it. No add-on products, no per-signal bill.
Full-text and field queries with a click-to-zoom histogram.
Millions of lines collapsed into templates; only the differences shown.
Ask in plain English; summarize an error storm in one click.
Record a real journey: sign in, search, check out. Then replay it on a schedule. See how.
Thresholds, traffic spikes, latency jumps, and service-down, by email, Slack, SMS, or call.
OpenTelemetry waterfalls, from a log line to the failing span.
Timeseries, stat, and top-values panels on any query.
Average and p95 latency plus throughput per service.
Every service on one board, with health-check URLs polled for up or down.
Built by developers who were tired of grepping through logs at 3 AM. ZipLogger is in active beta: no invented testimonials here, just the product. Try it on your own logs and tell us what breaks.
Send your first log with two lines of code, then watch your next incident point at the commit that caused it.
Yes: 1,000 logs/day with 5-day retention, dashboards, and alerts, free forever. It is enough for a side project or a proper evaluation. Paid plans start at $19/month and add AI analysis, git regression detection, longer retention, and much higher volume, each with a 14-day free trial.
Connect a repository in one click with the ZipLogger GitHub App, or with a fine-grained token; GitLab (cloud or self-managed) works the same way. Nothing is cloned. When you analyze an error, ZipLogger uses the provider's API to blame only the files in that stack trace and read the one suspect commit, on demand. Access is read-only and you can revoke it at any time.
Logs travel over HTTPS and stay scoped to your workspace; credentials such as git and AI keys are encrypted at rest. Retention runs from 5 to 90 days depending on your plan, and you can delete matching events yourself at any time. Your logs are never sold and never used to train models. AI features run on your own provider key, and only the window you explicitly ask to analyze is sent.
Official SDKs cover .NET (ILogger, Serilog), Python (logging),
Node.js (Pino, Winston), Go (slog), Java (java.util.logging), and the
browser (with a React error boundary), every one dependency-free with identical batching and
retry behavior. Everything else can send logs through the OpenTelemetry OTLP receiver, Fluent
Bit/Vector pipelines, or the plain NDJSON HTTP API. If it can POST JSON, it can log to ZipLogger.
Git regression detection: ZipLogger connects errors to the commits that caused them, and nobody else closes that loop out of the box. Pricing is flat and predictable instead of per-GB, there is nothing for you to install or scale, and the SDKs behave identically across every language, so you learn the integration once.