live mode

Real-time log streaming
and remote tailing

Watch it happen. Not after the fact.

Point Logier at a streaming HTTP(S) endpoint and tail it in real time — filtered, searched, and sorted exactly the way you already work with a static file, on a service you can't SSH into.

live · https://api.internal/logs/stream
STREAMING
14:02:07 · error · timeout waiting on payments-service
14:02:06 · info · retry scheduled (1/3)
14:02:06 · error · timeout waiting on payments-service
14:02:05 · info · upstream latency 82ms
14:02:05 · info · request accepted POST /v1/checkout
4,982 / 5,000 lines bufferednewest firstAuthorization header set

while it streams

Filter and search while
the stream is running

Same filters as the static view

Toggle log levels and narrow by service exactly like you would on a file you've already opened — nothing about filtering changes because the source is live.

Search while it streams

Free-text search matches against message and service as new lines keep landing underneath.

Newest lines first

While connected, Logier sorts entries newest-first automatically, so what just happened is always at the top.

Snapshot to the editor

One click turns the current buffer into a regular file in Logier's editor, so you can keep exploring what already landed without staying connected.

how it connects

Connecting to an
authenticated endpoint

01

URL

Any HTTP or HTTPS endpoint whose response body streams text.

02

Headers

Optional JSON block for an Authorization bearer token or other auth headers.

03

Buffer size

How many lines to keep in memory at once — 5,000 by default, yours to adjust.

where this lives

A live stream is just another tab

Once connected, everything you already know how to do with a file works the same way — the source is the only thing that changed.

logier
2

Explorer

logs
app.log
large-log.txt
live · api.internal/logs

Cloud

Dropbox
OneDrive
1
live · api.internal/logs
error.log
STREAMING
3
Search log messages, tags, or process
Filters
2000 / 2000
15 anomalies detected11 high severity
4
error notice
− 1× +
Using Apache parserLayout settings
14:02:07ERRORwebhook retry exhausted
14:02:05NOTICErequest accepted POST /v1
  1. 1

    The stream opens as a tab with a live indicator, alongside any static files you already have open.

  2. 2

    Live Mode lives in the nav rail. Give it a URL, optional auth headers, and a buffer size.

  3. 3

    Filters and search apply to the stream as it arrives — no reconnect, no re-running a pipeline.

  4. 4

    The timeline builds itself in real time, so you watch the shape of an incident form.

versus the terminal

Live Mode vs. tail -f over SSH

Tailing works when you have a shell on the box. Increasingly you don't: the service runs in a container you can't exec into, on a managed platform that only exposes logs over an authenticated HTTP endpoint, or on a customer's infrastructure that will hand you a URL and nothing else.

 Logier Live Modetail -f over SSH
Needs shell accessNo — just a reachable URLYes, SSH or kubectl exec
Log levelsParsed and filterable while streamingPlain text; grep it yourself
Filter mid-streamToggle levels and services, no reconnectRe-run the pipeline
Timeline and clusteringLive, as lines arriveNot available
Keeping what you sawSnapshot the buffer to the editorRedirect to a file up front, or lose it
AuthenticationCustom headers, incl. bearer tokensWhatever SSH gives you

what to point it at

Endpoints that work

Anything whose response body is a stream of text over HTTP(S). A few shapes that come up often:

Kubernetes log proxy

A follow endpoint on the API server, or any sidecar that re-exposes pod logs over HTTP.

https://k8s.internal/api/v1/.../log?follow=true

Managed platform log stream

Most hosting platforms expose a live log endpoint with a bearer token — paste the token into the headers field.

{ "Authorization": "Bearer <token>" }

CI job output

A running build's live log URL, so you can filter a noisy pipeline while it's still going.

https://ci.internal/jobs/8412/output.stream

Your own bridge

Anything that turns a local file into an HTTP stream works — including a few lines of your own.

tail -f app.log | your-http-bridge --port 8080

faq

Common questions

keep reading

Working with a live stream

See it the moment it happens.

Point Live Mode at any streaming endpoint you're already authorized to reach — no separate agent to install.