07:23:41.118
info
auth
auth-prod-01
auth-api
Token refresh latency crossed threshold on eu-west edge
Log management
One place to read live traffic and production logs
Fluxtail focuses on the core logging workflow: receive events, route them into streams, inspect live traffic, and filter quickly when something breaks.
Fluxtail is a log management product for teams that want a shorter path from ingest to investigation. Send logs in, route them into named streams, and read live traffic in one interface built for debugging production systems.
Named streams
Organize traffic into clear groupings that stay readable under load.
Receivers
Keep ingest endpoints explicit and easy to reason about.
Live tail
Read incoming events without extra dashboard clutter.
Fast filtering
Narrow noisy streams quickly and stay on the events that matter.
Live tail
TimestampLevelStreamHostAppMessage
Core flow
How the product works
The core path is short: define a receiver, send logs, read live traffic.
1. Create a receiver
Define where traffic lands and which stream should receive it.
2. Send logs in
Use HTTP or Syslog from the source system you want to inspect.
3. Read live traffic
Use live tail to see events as they arrive.
4. Filter and inspect
Stay in one product loop instead of switching between files, terminals, and ad hoc viewers.
Evaluate
Start with the workflow, then check pricing
If the product loop fits your team, the next question is cost and limits.
MCP
Use log management from chat
Fluxtail can be queried through its MCP server from AI tools that support MCP, which makes log triage usable from the same place teams already investigate code and incidents.
Connect
codex mcp add fluxtail --url https://mcp.fluxtail.io/mcp
codex mcp login fluxtail
Once connected, an MCP-compatible AI client can query stream data directly against Fluxtail instead of working from pasted samples.
Triage example
Prompt
use fluxtail and query logs for last 3 hrs in fluxtail stream, and find exceptions
Result
Fluxtail queried the stream and found timeout exceptions from one service and retry-limit exceptions from a worker in the same incident window.
Definition
Why centralize logs?
It changes how teams investigate issues and read traffic during active incidents.
It replaces scattered debugging paths
Centralized log management means teams stop debugging from separate files, shell sessions, and service-specific viewers. Logs arrive in one system, they are grouped into streams, and live tail becomes the place where early triage starts. That shortens the path from “something broke” to “here is the service, host, and event pattern involved.”
It keeps log reading usable under pressure
Raw log volume is only useful if the reading surface stays clear. Fluxtail focuses on event rows, stream structure, and filtering so teams can read a burst of traffic without losing the thread. The value is not only retention. It is being able to see what the system is doing right now.
Ingest
Which ingest paths matter first?
Fluxtail starts with the paths most teams need first.
HTTP for direct app and service delivery
HTTP ingest fits teams that want an explicit integration path from applications, workers, or edge services. It keeps setup obvious and easy to test.
Syslog for existing infrastructure flows
Syslog ingest covers a common path for hosts, network devices, and older service setups. It lets teams centralize older and newer traffic in the same product.
Streams for readable organization
Once logs arrive, streams keep noisy sources separated. That improves triage speed and the clarity of the live tail view.
If that workflow fits how your team debugs production issues today, the next step is to check whether the pricing model stays as clean as the product explanation.
Timing
When should a team move from local files to centralized logs?
Move when local files and ad hoc viewers start slowing down incident response.
When incidents cross service boundaries
Local tailing works until one failure starts showing up across several services, hosts, or queues. At that point, investigation slows down because each new source adds another shell session or viewer. Centralized logs help by putting those events in one place and letting teams sort them into streams that match the system boundaries they already use.
When reading speed matters as much as retention
Teams often evaluate logging tools by asking about storage first, but day-to-day value usually comes from readability. Fluxtail puts live rows, stream organization, and filtering ahead of dashboard clutter, so the interface helps during active debugging instead of turning log reading into a heavy analytics workflow.
FAQ
Log management questions
FAQWhat does centralized log management mean in Fluxtail?
It means routing logs into one place where teams can inspect live traffic, organize it into streams, and search or filter without bouncing between local files and ad hoc tools.
FAQCan Fluxtail handle live tail workflows?
Yes. Live tail is a core product surface. The UI is designed to keep real-time event reading compact, readable, and useful under continuous traffic.
FAQHow do teams send logs into Fluxtail?
Teams configure receivers, then send logs through supported ingest paths like HTTP or Syslog. The product keeps that setup path explicit instead of hiding it behind abstractions.
FAQCan Fluxtail be queried from AI tools or other MCP clients?
Yes. Fluxtail exposes an MCP server, so teams can connect from AI tools that support MCP, authenticate once, and query logs from chat instead of manually copying incident windows into a prompt.