We’ve today introduced a fully functional API for use with our Public Reporting tool. This allows you to carry out all of the functions that you would in app, but now you can automate and schedule these tasks instead of needing to complete them manually.

LPWAN (Low Power Wide Area Network), also known as LPWA or LPN, is a wireless data transport protocol that is now understood as one of the basic protocols for the implementation of IoT. In order to have a better idea of the relevance of LPWAN we can consider the prediction made by statisca.com of a steady increase in the number of LPWAN devices connected around the world, expecting this number to reach around 3.5 billion devices by 2021.

Another holiday season will soon be upon us, and many retailers and eCommerce businesses are already making plans. As you take inventory of what you learned last holiday season, let’s start with some lessons learned by the entire retail industry this time last year. In addition to stocking up on hot items and planning your promotions, the most competitive sites found that using AI/ML to optimize customer experience not only kept customers happy, it dramatically increased their revenues.

At Monitorama 2018, I shared some of the cool process and knowledge I’ve learned from developing a product for people other than myself to consume. After spending six years on call, I now build software that wakes people up in the night — AKA, infrastructure and tooling for systems monitoring and performance analysis. As someone who’s been there, I’m conscientious about building quality software that people delight in using.

You can now install our very own StatusCake app on any iOS or Android device. This means you can check your test status on the go wherever you are without needing to log into email or access the StatusCake site in a mobile view! At launch the app covers Uptime, SSL and PageSpeed type tests, and you can view all of the important information for each type at a glance. All you will need to make use of this is your StatusCake username and API key.

At first glance, applying machine learning to Continuous Delivery might sound a bit like cracking a peanut with a sledgehammer. I mean, how hard can deployment automation actually be? As it turns out, it’s way more complex than we think.