Make sure your data integration solution can connect to critical data sources.
The software will never be bug-free. But, it’s important to minimize the number of bugs such that the impact on functionality and user experience of an application is minimized. Bugs could come up due to different reasons, in this article, we will discuss them from the perspective of software errors. These are the errors that also need attention during the testing phase.
One of the most common questions I get asked is around the relationship between Kong Gateway and Kuma or Kong Mesh. The linking between these two sets of products is a huge part of the unique “magic” Kong brings to the connectivity space. In this blog post and the video below, we’re going to jump right into breaking down the relationship between these products and how you can use them together. First, let’s break down a couple of the terms that are involved.
Multi-cloud infrastructure is changing the way companies approach their software architecture. What started solely as gateway traffic management has evolved into full lifecycle API management. I recently sat down with Reza Shafii, Kong’s VP of product, for a blog series where we explore how full lifecycle service management ties into the concept of cloud native.
It can be difficult to choose an SMTP port. When we set up the Simple Mail Transfer Protocol SMTP Server, the first question that comes to mind is this. Which port is the best for SMTP connections? There are a variety of ports to choose from, but which one should you use? Allow me to take you on a journey through the history of each port. It will give you a good understanding of all of the ports, and then we'll talk about which one is optimal for SMTP connections.
There’s no doubt about it: data is the new gold. The last decade has created a revolution in everything related to data, whether it’s the creation of huge amounts of data or anything related to consumption, collection, processing, analysis, and decision making. In my previous experience as a data scientist, I can say that algorithms; whether a simple algorithm or an extremely complex neural networks model; as good as they may be, cannot beat bad data.
Nowadays APIs are the de facto method of communication between services. With all the connections points, setting up environments to efficiently build and test can be difficult. Also, in lower environments, 3rd party APIs can be unreliable, incorrect or non-existent.
