Fluxtail
Use cases

Logging use cases for clusters, collectors, syslog, and incident response

Use Fluxtail when logs already exist but need a readable place to land. Collect Kubernetes, Docker, syslog, OpenTelemetry, OTLP, GELF, and application logs, then inspect live streams with filters, histograms, facets, alerts, MCP tools, and AI diagnostics.

Why it matters

Collect logs from the source you already run

Start from Kubernetes, Fluent Bit, syslog, OpenTelemetry, OTLP, GELF, or direct application logging instead of reshaping every service first.

Why it matters

Read logs during active production work

Use live tail, stream scope, host and service filters, Kubernetes metadata, histograms, facets, and historical windows while the issue is still happening.

Why it matters

Bring automation into the same log stream

Use scoped access tokens, usage and quota alerts, MCP tools, receiver health checks, exception search, error summaries, no-log diagnostics, and built-in AI chat.

Start here

Choose the use case by source or task

Start with the source you need to collect or the log-reading task you need to complete. Some entries open feature pages because the dedicated use-case page is not split out yet.

Kubernetes
Kubernetes log aggregation for pod, workload, and node logs

Use this page for DaemonSet collection, Kubernetes metadata, live stream reading, filters, histograms, and cluster-level troubleshooting.

Fluent Bit
Fluent Bit forwarding for Kubernetes and Docker logs

Use this page when Fluent Bit tails container logs, adds host or container context, and forwards the result into Fluxtail for reading.

Syslog
Centralize syslog from hosts, devices, and legacy services

Use this path when rsyslog, syslog-ng, appliances, VMs, or network devices already emit syslog and need one readable destination.

syslog-ng
Forward syslog-ng traffic into a central stream

Use this path when syslog-ng is already your routing layer and you want the destination side to handle reading, filtering, alerts, and AI diagnostics.

Docker
Collect Docker and container logs without a large stack

Use this path when container stdout, JSON logs, or collector-forwarded Docker logs need one central place for live reading.

OpenTelemetry
Collect OpenTelemetry and OTLP logs from instrumented services

Use this path when application logs already carry service names, trace IDs, span IDs, deployment context, or other telemetry fields.

Incident response
Use live tail during a production incident

Use this path when the main job is reading recent logs, narrowing the time window, and keeping noisy streams understandable while traffic is still arriving.

AI diagnostics
Summarize repeated errors and check why logs are missing

Use this path when MCP tools or built-in AI chat should inspect recent errors, exception clusters, receiver health, or no-log cases from the same Fluxtail account.

Log management
Build a central log management workflow across sources

Use this path when several sources need to land in named streams with shared search, filters, retention, and team access.

Use cases

Browse use-case pages by cluster or collector setup

These are the dedicated use-case pages already split out from the broader use-case map above.

rsyslog centralized logging

Rsyslog centralized logging sends Linux syslog from servers to a central syslog receiver so host logs stay searchable after local files rotate, hosts restart, or machines disappear. Fluxtail receives those syslog messages into streams and keeps them readable with live tail, filters, facets, histograms, alerts, MCP diagnostics, and AI chat.

rsyslog centralized logging rsyslog forwarding Centralized syslog

syslog-ng centralized logging

syslog-ng centralized logging sends Linux syslog from servers to a central syslog receiver with explicit source, filter, parser, destination, and log routing. Fluxtail receives those syslog messages into streams and keeps them readable with live tail, filters, facets, histograms, alerts, MCP diagnostics, and AI chat.

syslog-ng centralized logging syslog-ng forwarding Centralized syslog

Docker container logs

Docker container logs are useful locally, but production reading usually needs more than `docker logs`. Forward container stdout and stderr with service, container, host, environment, level, and request fields so Fluxtail can keep the stream searchable and readable.

Docker container logs docker logs Container context

OpenTelemetry application logs

OpenTelemetry application logs are most useful when service name, environment, severity, trace ID, span ID, and resource attributes survive collection. Fluxtail receives OTLP logs into streams so application events stay readable with live tail, filters, facets, histograms, alerts, MCP diagnostics, and AI chat.

OpenTelemetry application logs OTLP logs Trace context

Live-tail incident response

Live tail helps when an incident is still active and recent logs need to stay readable. Fluxtail receives logs into streams, then helps narrow the active window with filters, facets, histograms, alerts, MCP diagnostics, and AI chat while the raw rows remain visible.

Live tail incident response Live log viewer Real time logs

AI log diagnostics

AI log diagnostics are most useful when they work from scoped log streams, receiver context, and raw rows. Fluxtail combines MCP diagnostics and AI chat with streams, live tail, filters, facets, histograms, and alerts so summaries stay tied to real logs.

AI log diagnostics MCP diagnostics Error summaries

Kubernetes log aggregation

Kubernetes log aggregation means getting pod, container, namespace, service, and node logs into one place without losing the fields needed to read them. Fluxtail receives collector output into receivers and streams, then supports live tail, filters, facets, histograms, alerts, MCP diagnostics, and AI chat.

Kubernetes logs Collectors Streams

Fluent Bit for Kubernetes

Use Fluent Bit as the Kubernetes collector, then forward the records to a Fluxtail receiver and stream. Keep namespace, pod, container, service, severity, request ID, and trace fields available for live tail, filters, facets, histograms, alerts, MCP diagnostics, and AI chat.

Fluent Bit Kubernetes logs Receiver
Next step

Send one real source and read the logs

Point one syslog, OTLP, Kubernetes, or application source at Fluxtail and inspect the resulting logs.

Start free and point one real source at Fluxtail.

A real stream will tell you more than another round of comparison shopping.

Start free