The topic of artificial intelligence (AI) is wide-ranging and extensive, providing what seems like limitless possibilities for the world of work. As such, it’s easy for leaders to get lost in the excitement of implementing an AI model for their enterprise.

Over the years, this biweekly letter has provided me with the opportunity to fully and fairly document just how much free time college students can have if they try. My college roommates tried really hard.

Setting up an HTTP interface to a database can be a lot of work. Read on to see how PostgREST makes it quick and simple to provide RESTful access to PostgreSQL®.

Performance testing measures how well systems perform when subjected to various workloads. The key qualities being tested are stability and responsiveness. Performance testing shows the robustness and reliability of systems in general, along with the specific potential breaking points. In this tutorial, you will use k6 to do load testing on a simple API hosted on the Heroku platform. Then you will learn how to interpret the results obtained from the tests.

One of the most important phrases of DevOps practices is “Test early, test often.” It’s crucial to perform functional testing early with unit tests and integration tests. But it’s equally important to perform non-functional testing. That means you should have performance tests. As markets become more saturated with each passing day, you no longer have the luxury to postpone performance testing until all features are developed.

In case you missed it, Samsung Knox has verified Mobile Device Manager Plus as a Knox Validated Partner solution. This means that our EMM solution meets its business-level requirements for 2022, and that we support a wide range of features to help you get the best out of all your mobile devices that support Samsung Knox capabilities.

While the global spend on artificial intelligence (AI) and machine learning (ML) was $50 billion in 2020 and is expected to increase to $110 billion by 2024 per an IDC report, AI/ML success has been hard to come by—and often slow to arrive when it does. There are four main impediments to successful adoption of AI/ML in the cloud-native enterprise.

Last summer, we added support for the open source Zephyr RTOS to Tracealyzer. Today, in recognition of the potential of Zephyr to become the leading independent platform for small IoT devices, Percepio joined the Zephyr Project as a Silver sponsor. Percepio made significant contributions to the Zephyr source code, extending the tracing subsystem to allow full tracing of Zephyr applications in line with the capabilities of Tracealyzer.