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The latest News and Information on APIs, Mobile, AI, Machine Learning, IoT, Open Source and more!

Why API Monitoring is a Business Necessity

This article will discuss API Monitoring, the definition of APIs and how they would affect your business if there is a failure, and how to protect APIs or your services. Everything on the web is powered by an API nowadays. APIs are an essential part of the web to connect different services that help customers complete their actions. This article will help you understand the importance of API and why API monitoring is a business necessity.

Advantages of Using a Mock API to Accelerate Development

Mocking APIs is an increasingly popular trend, with more and more developers seeing the advantages of mocking dependencies rather than spinning up actual duplicates of resources. On a high-level, a mock API means that you have a service that returns static data, which in turn is based on a real API.

What Makes the Automated Testing Process More Reliable Than Manual Testing?

Manual software testing processes have been around for decades and have proved reliable all these years. However, when benchmarked with automated testing processes, it seems to be lacking in this regard. It is a known fact that test automation speeds up delivery for software testers, but at first glance, this methodology of testing systems and apps seems unreliable. A deeper dive into both automated and manual testing processes reveals a shocking truth.

How to configure Netdata's all-new Anomaly Advisor, powered by ML, for real-time troubleshooting

Netdata's Lead Machine Learning Engineer, Andrew Maguire, walks through how to configure the all-new Anomaly Advisor. This new feature lets you troubleshoot in real-time, at scale, by identifying periods of time with raised anomaly rates across your entire infrastructure. In this guided video, Andrew will explain how to enable Netdata's ML functionality then, how to set up unsupervised anomaly detection with minimal configuration, and lastly how the Anomaly Advisor works to speed up troubleshooting when an incident occurs.

Herrenknecht AG Powers IIoT Platform and Edge Data Collection for Tunnel Boring Machines with InfluxDB

Herrenknecht AG is a technology leader in mechanized tunneling systems. Engineers at Herrenknecht set out to build an industrial internet of things (IIoT) platform that provided insight into live and historic data for all their tunnel boring machines (TBMs). These machines have thousands of sensors generating high velocity data, sometimes in remote areas with limited connectivity.

Introducing Anomaly Advisor for troubleshooting at scale

Troubleshoot at scale with our all-new, lightweight Anomaly Advisor, powered by machine learning. The Anomaly Advisor finds periods of time with elevated anomaly rates across your entire infrastructure faster than ever before. This new feature works along with our ML unsupervised models on the edge, making your troubleshooting trouble-free! Even better, the Anomaly Advisor requires minimal configuration and is extremely lightweight. No need to worry about exhausting your CPU usage.

JFrog Connect: Ready for What's Next for DevSecOps, Edge and IoT

Today at swampUP, our annual DevOps conference, JFrog CTO Yoav Landman unveiled the next step toward making the Liquid Software vision of continuous, secure updates a truly universal reality. We’ve introduced JFrog Connect, a new solution designed to help developers update, manage, monitor, and secure remote Linux & Internet of Things (IoT) devices at scale.

Selecting Your Next Project's MCU

Selecting the best chip can be tedious work but the best chip can save you a lot of time and money, and might even be faster! So should you spend time finding the best? I have some words on the topic. If a primary goal of your next project is to learn a new MCU, you want to create something easily reproducible, or if there will be only one machine building the project, then I recommend you to go with the chip you want to learn, the chip most readily available, or the easiest one to work with.

Don't let the skills gap hinder your IoT success

Since the term Internet of Things (IoT) was first coined in 1999, the market has experienced vast growth and maturity, evolving rapidly – and it is showing no sign of slowing down. According to Omdia, the number of global satellite IoT connections is set to continue growing at a compound annual growth rate of 25% for the foreseeable future.