Feature stores have arrived in 2021 as an essential piece of technology for operationalizing AI. Despite the enthusiasm for feature stores in high-tech companies, they are still absent from most legacy ML platforms and can be relatively unknown in many enterprise companies. We discussed how feature stores are critical to the data-first approach of next-gen ML platforms in our previous blog, but they are important enough to get their own treatment in a full article.

We’ve just released (the first phase of) a new feature called Secret Envs filtering that enables managing secrets in a central location. Now you can set env vars as secrets from within your Workflows, mask them, and with a Script Step, use secrets from an external vault/company’s own service.

We’d just want to let you know that your builds running on Linux are now faster. And that this is included in your plan, so you don’t have to do anything, just enjoy the ride or read the details.

Cross-browser testing is performed to be sure that your product is working as expected on the various device, platform, and browser (and their versions) combinations that your customers might be using. With a plethora of devices and their versions in the market, it is integral to perform stringent cross-browser testing to attain a good market capture. Is it easy? No! Is it necessary? Absolutely yes! However, the pain and efforts associated can be reduced, if the cross-browser testing is cloud-based.