Instead of just opening up closed-off systems via APIs, many businesses are looking to use event-based triggers as well to react to changes in real time. Competitive pressures are driving the need for new thinking when it comes to developing applications that help a business react in real time. Being able to make real-time decisions based on events is at the heart of those efforts.

Modern programs run on APIs. In digital transformation efforts, APIs are often the building blocks used to push organizations into the current digital age. For business-critical transactions, most applications, therefore, rely on APIs. Without truly understanding what’s going on behind the scenes with each API endpoint, organizations create blind spots in their performance. Let us see more about API and how important it is to monitor the API, and how we can easily monitor the API endpoint.

API stands for application programming interface, which is a set of definitions and protocols for building and integrating application software.

In this article, you’ll be introduced to two different load testing tools that are both able to work with Kubernetes; Speedscale and K6. Throughout this post you’ll be given a comparative view of how each tool performs in five different categories: Ease of setup, developer experience, working with the CLI, creating tests, and integration into CI/CD pipelines.

An API is an interface that allows other software programs to access and execute software programs. Software programs exchange data and communicate via this code. Communicating between products and services without requiring users to understand how they work. Social networks, games, database systems, and devices use web APIs to connect with applications.

With ARM based dev machines and servers becoming more common, it is become increasingly important to build Docker images that support multiple architectures. This guide will show you how to build these Docker images on any machine of your choosing.

Recently we caught up with the Sumo Logic team to discuss network visibility and optimizing application stack views. We took a look at their API and found that it would be easiest to use the HTTP Ingest method to send in our metric data.