Performance

Average response time is the metric most teams watch first, but it rarely tells the full story on its own. The real power lies in understanding it in the context of metrics that explain distribution, demand, and delay. By correlating average response time with percentiles (e.g., p95), throughput, and queue time, teams can quickly determine whether slowness is affecting everyone, driven by load, or rooted in waiting versus processing. This correlation-first approach turns a single trendline into actionable insight and dramatically improves the speed and precision of investigations.

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.

Compare Scout and New Relic APM: pricing, framework support, and the case against per-user observability pricing. Unlimited users on every Scout plan.

AI-native monitoring is designed for teams shipping AI-generated code. It brings errors, metrics, and performance data into your LLM, where you already work. Learn how this new approach helps developers tame black-box AI code, cut tool sprawl, and stay in flow — making apps built with AI-generated code easier to debug, scale, and trust.

Choosing an application monitoring solution can be overwhelming. Here we break down the nuance between Scout and AppSignal.

As Rails apps scale, slow SQL can start to become an issue. Database logs can help, but don't show the location of the problem code. Read this post for an understanding of where the problems can start, and how Scout can send slowness packing.

Learn how to boost Ruby on Rails app performance and reduce server load in this second part by understanding Rails cache stores: their configuration and memory stores.

Identifying, mitigating, and solving scaleable N+1 database queries in Ruby on Rails.

Do you find it difficult to keep up with how DevOps is developing? DevOps issues are addressed along with how APM can assist in this blog.

Discover how Web Assembly (WASM) revolutionizes Ruby website performance, optimizing code for unparalleled speed. Explore its transformative impact, ensuring seamless user experiences with advanced optimization techniques.Discover how Web Assembly (WASM) revolutionizes Ruby website performance, optimizing code for unparalleled speed. Explore its transformative impact, ensuring seamless user experiences with advanced optimization techniques.

Discover the hidden culprit slowing down your apps: Cold starts. Learn how to optimize performance and enhance user experience by tackling these delays head-on.

Finding profilers that reliably work proves to be a bigger challenge than most devs think. Here's a summary of the Rails profiler ecosystem: what works, what doesn't, and each profiler's niche.

Explore Scout's new mTLS feature for webhook alerting, offering enhanced security through double ID checks and encrypted messaging. Learn about the 'what' and 'why' of mTLS implementation

Discover unparalleled performance monitoring for Django with Scout APM. Empower your development team with real-time insights, custom transaction monitoring, error tracking, and seamless GitHub integration, ensuring optimal application performance and a seamless user experience

Experience peace of mind with our recent achievement: SOC 2 certification. Our unwavering dedication to ensuring the health of your systems and the protection of your customers is now officially recognized. Trust in our commitment to security and join us in celebrating this significant milestone in our journey together.

This post provides a guide to configure the OpenTelemetry gems in a Ruby on Rails application. It highlights the significance of OpenTelemetry in the Observability space and the need for precise configuration for optimal performance.

Get to the heart of your performance problems quickly with Application Performance Management (APM). Choosing between New Relic and Scout can be a complex decision. In this article, we explore the pros and cons of New Relic and Scout APM.

Discover the power of lambdas in Ruby with our comprehensive guide. Learn how to effectively use lambdas, the difference between lambdas and Procs, and their performance profiles. Take your Ruby programming skills to the next level.

Learn how to improve performance and ROI with modern APM technology. Discover the latest tricks in Application Performance Monitoring in this informative article.

Integrated APM system is a must-have tool for monitoring and controlling your operating costs. With real-time visibility and actionable insights, you can improve performance, increase efficiency and reduce costs, stay ahead of competition and make better decision for your business.

In today's blog we share our thoughts on why application monitoring is a useful tool, as well as its costs, benefits, and potential ROI.

Are you using multiple APM tools to monitor your applications? If so, you may be wasting resources. In this blog post, we’ll show you how to consolidate your APM tools saving you time and money.