Embedded system software developers have a difficult job. For one, the work itself is challenging — embedded systems must withstand numerous updates to their environment to function properly. Plus, when something goes wrong in development, those higher up the chain tend to look at developers rather than the tools the team is using. You can’t solve new problems with old tools, and they are often at the root of a team’s mistakes or delayed releases.
We are now deep into our most anticipated event of the year, Kong Summit 2021 (there’s still time to register for Day 2!). More than 4,000 people have registered from 87 countries for the virtual event. After a full day of knowledge and surprises, we are excited to recap the most memorable moments from today.
Today at Kong Summit, we are thrilled to announce several new products, features and capabilities across our entire service connectivity platform with the goal of making service connectivity as invisible and easily consumable as electricity. These updates include making the Kong Istio Gateway integration generally available and debuting Insomnia Projects. We’re excited to share them with you all.
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.
It’s official (well, according to the gospel that is Stack Overflow): Svelte is the world’s favorite web development framework. According to a snapshot of over 80,000 devs carried out in May, this relatively new user interface tool is now more popular than established behemoths like React.js, Django and Vue.js. Programmers love its open-source convenience, its code-efficiency and its super-smart compilation, which generates an optimised JavaScript code based on your manual submissions.
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.
Last month, we unveiled Appian 21.3 with new product enhancements that help customers develop apps and automations even faster. And now, we’re excited to announce updates to Appian RPA that simplify the already-easy Appian low-code experience even more—including the reveal of the new Appian RPA task recorder that allows you to record browser automations right from your workflow designer.
We talk about risk like it’s a bad thing. But all innovation involves risk. Which isn’t necessarily bad. Not if the consequences of being wrong about it don’t pose an existential threat. But businesses everywhere are struggling to cope with doomsday scenarios such as climate change, cyber smash-and-grabs, the global COVID-19 crisis, and more.