Best Python APM Tools in 2026: A Developer's Guide
A review of the state of APM tools for Python in 2026.
Scout Blog
Stuff we think matters
Scout vs AppSignal: A Tale of Two Developer-Friendly Choices
A comparison of how Scout and AppSignal each approach application monitoring.
Community Roundup: Feb 27, 2026
Django maintenance fixes, redis-py async OpenTelemetry support, and a Sidekiq Redis connection mystery — here's what moved this week.
.png)
February Newsletter
A quick look at what we've been up to for the past few months, including support for Ruby 4, improved Python support for errors, and strengthened reliability enhancements product-wide.
Already Love Scout APM? We Have Integrated Error Monitoring!
Error monitoring is now fully integrated with APM, with errors, traces, and logs in one interface. When an error spikes, you can immediately see if it correlates with a performance regression, drill into the trace, and find the problematic code without switching tools or piecing together data from multiple sources. Scout treats errors like first-class citizens, not an afterthought. This means that the integration depth and actionability is different than other tools: in Scout, errors and traces live in the same view by design, not as bolt-on features.
How a Singleton Pattern Broke Our Django Logging
When wrapping resources in Singleton objects, understanding the lifecycle behavior of both the underlying resource and the calling code is key. Django loves to close logging handlers frequently during its boot cycle. Debugging log handlers is its own special kind of fun; read on for the schadenfreude.
Install A Gem and Quickly Find What’s Slow: ShakaCode on Using Scout with Rails
In this post, we take a look at how ShakaCode, a RoR and Rust consultancy, has leveraged Scout to find and fix performance issues quickly.
Instrumenting Code Using Prism and the Ruby Abstract Syntax Tree
A relatively deep dive on the new built-in Ruby parser and options for manipulating the AST for fun and observability.
The Ultimate Guide to Error Monitoring: Why Error Monitoring Matters More Than Ever in 2026
Take a look at the state of error monitoring in 2026 as we review the top error monitoring solutions for fast detection, actionable alerts, integration options, and support for various engineering needs.
Application Monitoring 101: Queue Time Can Alert Before a Breakdown
Regular monitoring practices can emphasize application response time, but queue time is also often an early and important warning sign. If it rises, you’ll quickly see downstream effects: tail latency, timeouts, and error spikes. This means that this metric can give you a head start tackling app issues before they become user problems. In this post, we’ll discuss queue time, how things can go off track, and practical steps to turn it around.
Application Monitoring 101: Decoding Throughput: Understanding the Signals Between Spikes and Drops
Throughput is a powerful performance metric, but it is essentially meaningless in isolation. Once correlated with other application data, you start to get to the heart of what is driving performance changes in your application.
Application Monitoring 101: Averages Lie, Percentiles Clarify
Everything looks green and happy on your dashboard, so why are your users upset? Dive into the world of percentiles and how to pull clarity from the metric noise to better understand the health of your application.