As the rate of delivery for applications and services continues to rise, performance testing often takes a backseat in the race to delivering apps on-time. This 2022 holiday season is expected to be bigger than ever, with holiday shopping growing 15.5% to $236 billion. During this make-or-break time of year, companies can’t afford for their apps to become unreliable under heavy load.
Today, the exponential growth of APIs shows no sign of slowing down. Digitally driven enterprises understand that they must deliver enhanced digital experiences to achieve sustained growth, faster innovation, and meet modern consumer needs.
Are you looking to grow your business? Deliver more value to your customers? Well, understanding API usage should be at the top of your priority list, right after the ability to track API usage and API monitoring. By using Moesif for understanding your customer’s API usage, you can unlock many different insights, such as Understanding these key insights can help make informed business and engineering decisions.
Since the initial launch of Kong Konnect Cloud, one common feature request has (unsurprisingly) been Multi-Region support. Many customers look for SaaS solutions that support a distributed service architecture. Even at its inception, our goal was to support more than a single region. Today, we’re happy to announce Multi-Region Support for Kong Konnect Cloud.
Many API developers and companies struggle to find ways to easily set up systems to monetize their APIs. Some are simple but not customizable, some are complex and require massive engineering effort to actually get it all running. To make things easier, Moesif created a feature a few months ago called Billing Meters which gives massive customizability but with a minimal amount of code and engineering effort.
API load testing, which identifies how stable your APIs are under different workloads, is a crucial part of performance testing. In this guide you will learn what is API load testing, when to perform load testing, and more. One growing pain of increasing iterative development and shortening release cycles is a growing inability to detect and fix inefficient code – whether in the CI/CD pipeline or in production.