Machine Learning Made Easy
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.
The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
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.
Writing software is hard. Balancing the demands of shipping with assuring quality presents challenges. Also, you must have an eye on keeping code readable and maintainable. It’s not easy. Beyond mere development, maintaining a running application is still harder. Serving users requires responding to problems in a timely fashion. In order to respond to problems, you need to know they exist. In short: writing software is hard; running software is often harder. And that’s why we monitor.
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At Sensu Summit 2019, Adam Westman, Sr. Engineering Manager at Target, introduced us to GoAlert, their on-call scheduling and notification open source project. In this post, I’ll recap his talk, sharing the journey that led them to build GoAlert, the problems they’ve solved, and how they use GoAlert with Sensu Go to simplify monitoring and reduce alert fatigue.
At Sentry, we’re big fans of continuous integration and deployment. We’re also big fans of GitHub — and not just because we employ a number of notable GitHub alumni. We use our own GitHub integration to link issues, identify suspect commits that likely introduced new errors, and suggest assignees who can best resolve each issue. Last month, GitHub released GitHub Actions for general availability.
Hi there stroopwafel fans As we’re looking forward to publishing more Ruby, Elixir, and JavaScript posts in the coming 2020, we decided to take a look back at the blog posts that you gave the most hearts on Twitter, reads on the blog, and that we got the most appreciation for in 2019.
If you are a developer, a systems administrator, you work in the information technology sector or you are simply a technology enthusiast who has ever deployed some type of application, surely you will have faced the same problem we all ran into. If you are thinking of dependencies, bingo!
A couple of weeks ago I had the great pleasure of hosting CJ Silverio, Principal Engineer, and Ben Gardella, Manger of Infrastructure from Eaze for a clue- and cackling-filled webcast interview.
Tools. As engineers we all love great tools that help our teams work productively, resolve problems faster, be better. But tools can tend to grow in number, require additional maintenance, and most importantly, create silos. Each team has certain responsibilities and is constantly searching for tools that can address specific requirements in the best possible way.