Scout Monitoring

@ScoutMonitoring
8 Followers
24 Following
62 Posts
Scout Monitoring is the all-in-one monitoring platform with APM, error monitoring, and logs in one simple tool. Built for lean dev teams who own products, not just tickets.
Homepagehttps://www.scoutapm.com/
GitHubhttps://github.com/scoutapp
Youtubehttps://www.youtube.com/@scoutapm
If you happen to work on Elixir and Phoenix and have been craving that Scout experience (minimal time, maximal insight), we have good news. We rolled out improved instrumentation, error monitoring and log management in a major release. Check it out at https://www.scoutapm.com/blog/monitoring-phoenix-liveview-performance-with-scout-apm

Average response time is where monitoring begins, not where it ends.

To interpret slowness correctly, correlate it with:
p95 → are all requests slower, or just a subset?
Throughput → is this load pressure or system degradation?
Queue time → are we waiting longer to start or finish?

Tools should reduce MTTR and improve morale. That’s the whole thesis.
Scout does correlation without ceremony, courses, or credential creep.

https://www.scoutapm.com/blog/application-monitoring-101-how-to-correlate-average-response-time-with-other-metrics

Queue time is the canary. When it climbs, the rest of the dashboard usually follows: p95 gets ugly, timeouts show up, errors spike. Here’s a practical guide to what causes it + how to get ahead of it.

www.scoutapm.com/blog/application-monitoring-101-queue-time-can-alert-before-a-breakdown

Quiet failures are our least favorite failures.
Throughput is “kind of” down, nothing is entirely on fire, and your users are just kinda having a worse day.

This post is about catching that stuff earlier.
https://www.scoutapm.com/blog/decoding-throughput-understanding-the-signals-between-spikes-and-drops

You’ll know in 5 minutes if Scout fits your team.

Install, then: slow code, new errors, and the logs/traces/perf context, side by side.
Unlimited teammates. Share deep links to the exact trace/endpoint.

If your mean latency is flat but your p95 is screaming… you’ve got a story worth reading.
We break down percentiles, spread, and why averages are sneaky.

https://www.scoutapm.com/blog/application-monitoring-101-averages-lie-percentiles-clarify

You can check out the local Scout MCP server here: https://github.com/scoutapp/scout-mcp-local/
GitHub - scoutapp/scout-mcp-local: Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all.

Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all. - scoutapp/scout-mcp-local

GitHub
Quinn just added FastMCP support to the Scout Python agent and wrote up the whole approach.
It’s a practical look at how to instrument MCP tool calls with middleware: spans, arguments, errors, and metadata.
If you’re running your own MCP server, it’s worth a read.
https://www.scoutapm.com/blog/adding-fastmcp-support-to-the-scout-python-agent
Check out our local MCP server here: https://github.com/scoutapp/scout-mcp-local/
GitHub - scoutapp/scout-mcp-local: Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all.

Scout’s local MCP puts metrics, traces and errors right in your AI agent. For teams that do it all. - scoutapp/scout-mcp-local

GitHub

Some bugs teach you something.
Some just waste your afternoon.

For the latter, let the AI do the work.

On fixing production bugs with Scout’s MCP server → https://www.scoutapm.com/blog/mcp-found-a-thankless-bug-faster-than-us-and-it-was-actually-fun