We are happy to announce release 2.2 of our flagship open source API gateway! Those were some busy three months since the release of Kong Gateway 2.1! We have pushed a number of patch releases in the 2.1 series, we’ve had our first fully-digital Kong Summit, and of course, we’ve been very busy building new features that are now shipping in Kong Gateway 2.2!

Remote control any device from your browser: Monitor your device inventory: Manage users and devices.

Web development before the age of web frameworks is difficult to imagine. Setting up a robust, dependable web app from scratch is a daunting task that requires years of knowledge and experience. Nowadays, however, with the help of effective, easy to use web frameworks, it doesn’t take more than a few minutes to get going.

The Internet of Things (IoT) is a term for the ever growing number of internet connected devices that fall beyond the realm of your typical laptop, desktop computer or smartphone. Many of us already own and use IoT devices on a daily basis, these could be anything from "smart" versions of appliances like refrigerators, thermostats and coffee machines through to your expected IoT devices such as Amazon’s Alexa & Google’s home speakers.

At Cloudera Fast Forward we work to make the recently possible useful. Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries.

Broadcasting is now available in this release for both dashboards and presentations. Just like reports, you can now enable scheduled delivery of these analytic content to different audiences. We have also included additional options for schedules — making it more granular for specific frequencies. For example, for fortnightly broadcasts I can now set the delivery to be on the second Monday. Or for monthly broadcasts, to have deliveries happen on the fifth day every month.

The infamous data science workflow with interconnected circles of data acquisition, wrangling, analysis, and reporting understates the multi-connectivity and non-linearity of these components. The same is true for machine learning and deep learning workflows. I understand the need for oversimplification is expedient in presentations and executive summaries. However, it may paint unrealistic pictures, hide the intricacies of ML development and conceal the realities of the mess.

It’s been some time since our latest major release, in fact OctoPerf v12 is probably our biggest/longest coming release to date. There’s of course been a couple of minor versions this summer and we’ll also cover them but first let’s focus on the new killer features: the scheduler, alerting through slack/mail and a better UI for the menus. The scheduler is the first item left on our original roadmap (back when OctoPerf was still called jellly.io).