Testing is a vital part of the mobile app development process. Your team can use testing to evaluate the quality, security, and reliability of mobile apps before releasing them to your users. Users who expect their applications to be highly performant and intuitive. There are two ways DevOps teams can perform testing for mobile apps: on-premise (also called self-hosted) or in the cloud. But which of these is the best option for your team?

An application programming interface (API) provides access to the features of a business application, but with the visual elements stripped away. By using APIs, devices like tablets, self-service kiosks, point-of-sale terminals, and robotic sensors can connect up to apps running on servers in a datacenter or in the cloud. Because they give access to the heart of your business applications, it should come as no surprise that there are some APIs that the general public should not have access to.

The use of mobile devices within organizations is steadily increasing, and it’s not slowing down anytime soon. Zippia reported that around 3 out of every 4 employees use their personal cell phones for work. Mobile devices in the workplace can provide many benefits, but can also bring more risks, which is why mobile device management is needed.

At GrafanaCONline 2022, Theia Scientific President, Managing Member, and Lead Developer Chris Field and Volkov Labs founder and CEO Mikhail Volkov — a Grafana expert — delivered a presentation about using Grafana and machine learning for real-time microscopy image analysis. Real-time microscopy image analysis involves capturing images on a microscope using a digital device such as a PC, iPad, or camera.

Michael Stefferson received his PhD in Physics from the University of Colorado before deciding to make the jump into machine learning (ML). He spent the last several years as a Machine Learning Engineer at Manifold, where he first started working on projects in the healthcare industry. Recently, Stefferson joined the team at Cerebral as a Staff Machine Learning Engineer and hopes to leverage data to make clinical improvements for patients that will improve their lives in meaningful ways.

If you are in a room with 20 engineers and you ask, “explain what an API is to a non-technical person”, you will get 20 different analogies. An API is like the on button to your TV connecting you to a variety of shows and systems, or an API is like a waiter taking your order and serving you from the kitchen. An API is like a library card catalog, or it’s simply a tool that connects you to other tools.

One of our goals here at Checkly is to make it easier for developers to ship excellent software. But let’s face it, getting features out is only a tiny fraction of the story. Fast-moving development teams also break things. And the more things you build, the more things can go wrong. And trust me, they will. This is where API and end-to-end monitoring helps. Define automated test suites that check all your properties constantly and guarantee that everything’s up and running. All the time.

Welcome back to our monthly product updates - SigNal! Our team shipped some major upgrades to SigNoz last month. We’re elated to share that SigNoz is now available with log management. It’s a major milestone in our journey of democratizing observability for developer teams of all sizes. We also shipped an intuitive alerts builder, attended conferences, and played new games in our Friday chit-chats 🥳 A lot of new open source contributors also helped us in making SigNoz better.

The use of a Real-Time Operating System (RTOS) is increasingly common in embedded software designs. An RTOS makes it easy to divide your code into smaller blocks, tasks, which execute seemingly in parallel and independent of each other, as described in the first article in the RTOS 101 series.