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RailsConf 2019 - Scalable Observability for Rails Applications by John Feminella

John Feminella
Co-Founder at UpHex
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RailsConf 2019
April 30, 2019, Minneapolis, USA
RailsConf 2019
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RailsConf 2019 - Scalable Observability for Rails Applications by John Feminella
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About speaker

John Feminella
Co-Founder at UpHex

I'm an experienced technology leader on a variety of complex distributed systems, a change agent for process and cultural transformation at large enterprises, and a public speaker on technical topics I find interesting. I've led, managed, or been responsible for teams of varying sizes, from small bands of engineers to a technology division with over two dozen balanced teams of dedicated developers, PMs, and designers. I love being at the intersection of difficult business problems and technology solutions.I've been invited to speak and share my expertise at over 100 talks in the last few years, on topics ranging from cloud-native platforms, to blockchain applications, to using machine learning for valuing stock options. I find it especially exciting to build things and share what I've learned with others.The kinds of problems I most enjoy solving are difficult infrastructure or process problems, like unusually large or complex distributed systems, driving enterprise transformation to the cloud, or improving a company's software discipline.Generally I'm very interested in:• building and leading efficient and capable engineering organizations,• helping enterprises transform how they deliver technology outcomes,• web services and architectures,• highly scalable systems and data,• creating and designing APIs, and• novel applications for blockchain technology

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RailsConf 2019 - Scalable Observability for Rails Applications by John Feminella


Do you measure and monitor your Rails applications by alerting on metrics like CPU, memory usage, and request latency? Do you get large numbers of false positives, and wish you had fewer useless messages cluttering up your inbox? What if there were a better way to monitor your Rails applications that resulted in far more signal — and much less noise?

In this talk, we'll share an approach that's effective at measuring and monitoring distributed applications and systems. Through the application of a few simple core principles and a little bit of mathematical elbow grease, firms we've tried this with have seen significant results. By the end, you'll have the tools to ensure your applications will be healthier, more observable, and a lot less work to monitor.

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