Scout Blog
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.
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.
A relatively deep dive on the new built-in Ruby parser and options for manipulating the AST for fun and observability.
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.
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.
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.
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.
Scout Senior Developer Quinn walks us through adding FastMCP instrumentation to our Python agent. The Scout MCP server enables Scout users to query their Scout agent about application performance so that the agent can make decisions and fix issues based on that data.
Sometimes bugs just need to be fixed ASAP Having AI fix them with monitoring data straight from production is very fast and satisfying You should use Scout for errors and MCP
Compare Scout and New Relic APM: pricing, framework support, and the case against per-user observability pricing. Unlimited users on every Scout plan.
Rechain saw their performance decline as their customer base scaled up. Graduating to Scout helped them get a handle on their issues and fix them before their users even saw them.
News from the Scout team. Introducing Scout's MCP Server for AI-native monitoring.