Scout Blog
Python performance measurement tools help us to identify performance bottlenecks in our app. This allows us to focus on the business login as opposed to writing custom code, setting it up with our app, and then figuring out whether the results are accurate enough. These tools are well tested by the open source community and used by many companies to measure the performance of their web apps.
There are a lot of monitoring tools on the market to choose from, but how do you know which one is right for your business? Check out this comparison of 3 top tools on the market: Stackify, New Relic and Scout.
This article walks you through the differences between SOA and Microservices architecture and suggests situations suitable for using either of them.
What is Delegation and how do you properly use it in Ruby? This article will look at how delegation works and the various programming constructs that Ruby provides to facilitate easy and robust delegation.
New Relic and Appdynamics were the two most dominating APMs in the software industry some years back. But due to some lack of functionalities, customers have begun switching to different tools because now they have a perfect solution for their particular use case. Read more about how Scout compares to some top competitors!
You need to choose the perfect monitoring solution that gives you complete visibility over your application’s aspects. To help you in your hunt, we have compared three popular monitoring platforms in this article—Splunk, Dynatrace, and Scout.
Scout APM announced the release of Scout External Services Monitoring for Ruby, Python, and PHP applications on December 1, 2021. Scout APM provides developers, engineers, and application administrators software performance insights by delivering key web application performance metrics.
An APM tool is essential for a successful application. Check out this comparison of three top tools in the market so you choose the right one for your business!
Finding and fixing errors and performance issues can take valuable time away from the development team, preventing them from being able to build new features for their applications.
Working with an unprecedented amount of data means tackling millions/thousands of distinct data points. To analyze this information quickly, you need to display it visually to improve your natural spotting abilities. Check out these 3 popular data analyzing and visualization tools!
A ruby flip-flop refers to a system that comprises two alternating (on/off) states that one can switch between Let’s dive in and learn more about what this operator is, how it works, its different types, what it offers, and where it makes sense to use it.