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

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

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

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

We just shipped error monitoring to GA.
No more finding out your app is broken from an angry user. Get alerted when things go sideways, see exactly what happened, and fix it before your users even notice.
Because reactive debugging is not a business strategy. Want to learn more? Check out our blog: https://www.scoutapm.com/blog/hand-code-or-no-code-scout-keeps-error-monitoring-out-of-the-log-mess

"Scout has been a massive help in identifying bottlenecks in our application infrastructure as we scale. We’ve been able to identify memory leaks and N+1 queries to shave seconds off our most expensive queries and to improve the reliability of our site. We recently changed web servers and Scout’s dashboards gave us the real-time data we needed to evaluate the effectiveness of the changeover.”

-Brett Kushner, COO, Don't Tell Comedy https://www.donttellcomedy.com/

“Scout can track and provide developers with insights for performance improvement. This helps us deliver a better experience to our users.” — Cookpad
https://www.scoutapm.com/blog/cookpad