We just shipped three updates based on customer feedback.

If you’re an Android user, relying on data from your cellular provider is one way of avoiding the risks of free public Wi-Fi – especially if you don’t have the tools or services necessary to give you full protection. Android also has a huge and widely varied user base distributed across the globe. Many of these users operate in regions where free or paid Wi-Fi isn’t even an option. In such instances, going online via cellular data is the only choice they have.

If your website isn’t mobile-friendly, then it won’t show up in search engine results. What does mobile-friendly mean? A mobile-friendly website is one that shrinks down to accommodate the various mobile devices on the market. It’s like a mini version of your website. Having a non-responsive website can lead to poor user experience. That means your users will end up pinching, scrolling, and zooming. With a mobile-friendly website, your site is viewable across all devices.

The hype has gone off the charts for AI and machine learning tools' potential in IT organizations. It’s time to temper expectations and move towards a sensible adoption path. Artificial intelligence is not fairy dust sprinkled on a data center, despite the enthusiastic proclamations of many IT operations vendors today. A couple of years ago, AI was the bride atop the wedding cake. It was perfect, with promises to render obsolete errors and out-of-control performance issues.

How critical are open source applications for modern application and infrastructure modernization? Red Hat’s The State of Enterprise Open Source report found that more than two-thirds of IT leaders believe that open source software has a very important role to play in the enterprise and 59% of respondents expect to increase their use of open source in the next 12 months.

Earlier this month, security researchers at Promon, a Norwegian firm that specializes in in-app security, uncovered a unique vulnerability in Android devices that allows malicious apps to masquerade as legitimate apps and prompt for intrusive permissions that allow them to: Listen to the user through the microphone, Take photos using the camera, and a lot more.

Our 2nd December update adds alert counters to the web app, allows for disabling the opt-in/out from “Services & Systems” categories and adds a new encoding format to the SIGNL4 webbhook.

The difference between machine learning for business and machine learning for consumers is that for business applications, you must deal with requirements that casual users won’t encounter.

I post openly about MRR, churn and other SaaS stuff on Twitter. I do this mostly for marketing purposes. Not going to lie. It's also kinda fun. At least when things are growing...