New  Distributed tracing with request waterfalls · MCP server for AI assistants

Know which commit broke production.

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

app.ziplogger.ai/search
ZipLogger Search: 24 hours of traffic in the histogram with log patterns clustered by template
Search & patterns Thousands of near-identical lines collapse into a handful of templates, so a spike stands out without scrolling.
A distributed trace waterfall spanning browser, checkout, recommendations, and payments, with the failing spans marked
Distributed tracing Follow one request across every service it touched and see exactly which hop was slow or threw.
Request metrics per service showing average latency, p95, and throughput
Metrics & APM Latency, p95, and throughput per service from the same SDK that ships your logs. No separate APM.
ZipLogger Events: 51,789 events from 8,432 users over 24 hours, with top events, error volume, countries, and devices
Product analytics What users actually did — events, sessions, devices, countries — beside the errors from the same window.
The event list with one row expanded on the ZipLogger fields tab, showing the session, trace, release, and commit derived around a checkout_started event
Event explorer Expand any event for the seventeen fields ZipLogger derived around it — session, trace, release, commit — with the properties your app sent one tab away.
Alert rules showing which are firing and which are healthy, each with the condition in plain language
Alerting Get told by email, SMS, phone call, or webhook when errors spike, latency climbs, or traffic stops.
Browser automations with success rate, average duration, and a screenshot from the latest run of each journey
Browser automation Record a sign-in or checkout once and ZipLogger replays it in a real browser on a schedule, keeping every screenshot.
A list of traces marked OK or ERROR, with a notice that error-free traces are kept for 48 hours
Retention that pays for itself Traces with an error are kept for your full plan retention; healthy ones expire after 48 hours.

Official SDKs for the stack you already have

.NETPythonNode.jsGoJava Browser

Everything else ships logs and traces through OpenTelemetry, Fluent Bit, or the HTTP API.

The difference

From production error to the commit that caused it

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.

  • Errors collapse into patterns, so you read ten templates instead of 400,000 lines
  • Suspect commits ranked with author, date, and the exact blamed lines
  • The suspect's diff fetched on demand: nothing is ever cloned or stored
  • AI root-cause analysis and a suggested fix, ready for your postmortem

See how regression detection works →

# 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.
How it works

Three steps to your first answer

1

Add ZipLogger

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_...";
});
2

Send your logs

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.

3

Find the broken commit

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.

What else you get

The rest of the platform, included

One flat price covers all of it. No add-on products, no per-signal bill.

Millisecond search

Full-text and field queries with a click-to-zoom histogram.

Pattern templating

Millions of lines collapsed into templates; only the differences shown.

AI analysis

Ask in plain English; summarize an error storm in one click.

Browser automations

Record a real journey: sign in, search, check out. Then replay it on a schedule. See how.

Alerts

Thresholds, traffic spikes, latency jumps, and service-down, by email, Slack, SMS, or call.

Distributed traces

OpenTelemetry waterfalls, from a log line to the failing span.

Dashboards

Timeseries, stat, and top-values panels on any query.

Metrics / APM

Average and p95 latency plus throughput per service.

Service health

Every service on one board, with health-check URLs polled for up or down.

<100 mstypical search latency
6official SDKs, plus OpenTelemetry
0servers for you to run
$0to start, free forever

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.

Pricing

Flat, predictable pricing

Free$01,000 logs/day · 5-day retention
Pro$1925K logs/day · git regressions · AI
Team$49250K logs/day · 5 users · all alert channels
See all plans Business and Enterprise available. Annual billing saves two months.
Encrypted end to endHTTPS in transit; tokens and AI keys encrypted at rest.
Isolated per workspaceEvery query is scoped to your tenant. No shared views.
Retention you choose5 to 90 days by plan, swept automatically. Delete matching events any time.
Your AI key, your dataOnly what you ask to analyze is sent. Your logs never train anyone's models.

Stop grepping. Start knowing.

Send your first log with two lines of code, then watch your next incident point at the commit that caused it.

FAQ

Questions, answered

Is there really a free plan?

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.

How does the git integration work?

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.

How does ZipLogger handle my data?

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.

Which languages and frameworks are supported?

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.

How is ZipLogger different from Datadog, Sentry, or Loggly?

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.