We cover a wide array of software development and devops technologies. Here is some of our recent work:
There are many ways of deploying your applications to Heroku—so many, in fact, that we would like to offer some advice on which to choose. Each strategy provides different benefits based on your current deployment process, team size, and app. Choosing an optimal strategy can lead to faster deployments, increased automation, and improved developer productivity. The question is: How do you know which method is the “best” method for your team?
Sometimes developers are hesitant to include logging due to performance concerns, but is this justified? And how much does library choice affect performance? The team at SolarWinds® Loggly® and myself decided to find out. We ran a series of performance tests on some of the most popular Node.js libraries. These tests are designed to show how quickly each library processed logging and the impact on the overall application. Let’s see how they did!
Serverless architectures such as AWS Lambda have created new challenges in debugging code. Without a solid logging framework in place, you could waste hours, or even days, tracking down simple defects in your functions. A strategic logging framework can be a powerful way to track down and resolve bugs. Let’s walk through how to get the most out of logging Lambda functions. We’ll set up and troubleshoot code to find the root cause of a defect, look at some best practices for logging Lambda functions, and explore setting up alerts.
