Logging in software development and testing can help you speed up your software delivery pipeline and make it more continuous. Maintaining a rapid delivery cadence becomes a forcing function for your team to log consistently. Your team needs to create automated tests that rely on your logs so that you find buggy code before it goes into production and use test outcomes to learn how effective your logs are. With these insights, engineers can refine logs to be more informative and helpful during the intensity of monitoring in production.
Good logging in dev and test also contributes to developer accountability. As you decentralize your software development and delivery, it’s easy to lose track of who is doing what at any given moment. It’s equally hard to determine the root cause of software issues, especially when your team is moving quickly. If your engineers begin logging early in their dev cycles, monitoring exceptions during unit and system tests, and using logs to understand root cause and trace the flow of software execution, they are far more likely to fix problems before software is released. At the very least, this discipline will help your team shortcut the troubleshooting process by knowing where to look once code is in production.
No matter where you are on your architecture journey, how decentralized your engineering team, or how rapid or even inconsistent your software delivery cadence, Scalyr helps you do logging in development and testing the right way.
We start by centralizing and organizing your logs and making it easy to tag and identify them by their stage in the software delivery cycle, whether development, testing, or production. We also help you see those logs in context, so you can find which resources or user behavior contributed to a software exception. We identify which systems are affected by the issue. From there, we help your team members move at the pace they need because they can troubleshoot across large data sets with no performance penalty. Our customers tell us that they can search their logs orders of magnitude faster than they could via their traditional tools. When your team can move this fast, they free up their time to develop new functionality, explore issues proactively, and find and fix bugs before they get pushed into production. Finally, because all of your engineers can use Scalyr concurrently with no performance penalty, usage throttling, or extra cost, they can get ahead of software issues during the dev and test cycle, troubleshoot more efficiently during production, and become more accountable to your application’s overall success.