![]() ![]() Because it can be very daunting at first. Yeah, I think there's some great resources on how to use that. So I think it's really worth checking out. And what that gives you is the logs from the actual containers you're running, logs from Kubernetes, logs from any of the other cloud services you're using, and your own application logs, if you want, all in the same place, that you can run queries against, you can look at them you can actually derive metrics and draw graphs from the contents of those logs, and you can use them for troubleshooting. And it just goes through how to set it up, which mostly, use the defaults, and then here's how to turn it on if you did anything else. So there's a nice article linked to on how to use the Google Kubernetes engine logs with cloud logging, which is our kind of unified logging setup. And I think one of the many things that makes Kubernetes like on Google Cloud really valuable is that logging is automatically integrated with the rest of things going on Google Cloud. So I think a lot of people are going to be like, how is that cool? But you can't really understand big systems without logging, in my opinion. OK, so mine is cool in the sense of what's logging, and logging in Kubernetes. So before we jump into that, though, why don't we go ahead and do our Cool Things of the Week. But it's going to be a really, really great conversation with Ryan and Emily, talking about all the things that Talon Voice can do and some of those scenarios around why you might want to use it. (RECITING QUICKLY) Air bat cap drum each find gust harp sit jury krunch look made near odd pit quench red sun trap urge vest whale plex yank zip.Īnd I can still hear all of that- well, I assume it was 26 words. And let's just give a quick teaser of what it sounds like to talk to a computer. So we have Ryan and Emily from Talon Voice. Brian, can you tell us who our interview is with. And we have a super, super-great interview today. We took a couple of weeks off to take some time, and listen, and learn. I'm super, super glad for the "GCP Podcast" to be back. Web Content Accessibility Guidelines site.Using Recommenders to keep your cloud running optimally blog.How to find-and use-your GKE logs with Cloud Logging blog.He has since worked full time on Talon with a mission of enabling anyone to be equally productive for any and all tasks on a computer without their hands. Ryan was a software engineer for over a decade and in 2017 quit his job due to hand pain. Because of a Repetitive Strain Injury, she develops using Talon’s speech recognition. Emily stresses the importance of adding accessibility to websites to accommodate Talon users and others with disabilities.Įmily is a Senior Software Engineer at Fastly, where she works on the platform for delivering core Edge Cloud configurations. We end the show talking about how Talon and voice recognition software have helped people with and without debilitating injuries and given hope to those spending hours on computers every day. Later, Ryan and Emily tell us how they write code using Talon and the logistics of using the software at home or in the office. Ryan types a sentence using his voice then explains the process of developing the alphabet and other parts of Talon. She demos Talon for us, explaining how the alphabet system works. Talon allows not only straight voice input but includes eye tracking, noise recognition, and user customization to perform complex actions like moving windows, selecting text, and user-specific workflow customizations without touching any hardware.Įmily describes her experiences with Talon, including the process to get started and how she looked past voice recognition stereotypes to find how useful the product could be. Mark Mirchandani is back this week as he and co-host Brian Dorsey learn all about voice coding with some great guests! Emily Shea, senior software engineer at Fastly and user of Talon Voice, and Ryan Hileman, developer of Talon Voice, tell us about Repetitive Strain Injury and how it led to the design and use of Talon Voice. ![]()
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