Jenn Rappaport

Philly ETE #33 – Generalists Are Special – Chris Merrick

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From the abstract: Software is easier to write today than ever before. With little understanding of what’s going on behind the scenes, a marketer can stream an API firehose into a distributed system to perform a data analysis in just a few lines of code. The proliferation of open source projects and sites like GitHub … Read More

Philly ETE #32 – Distributed Systems in Production – Jeff Hodges

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From the abstract: In the field, distributed systems are the new norm. This talk discusses tactics and strategy for productionizing distributed systems with a little bit about what the future will hold.

Philly ETE #31 – Functional Reactive Programming in Elm – Evan Czaplicki

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From the abstract: Functional Reactive Programming (FRP) is a simple and elegant way to design and structure interactive code, like games and GUIs. Elm is a young functional language that brings this approach to the web, allowing you to easily create complex interactions. This talk will fully explain the key concepts of Functional Reactive Programming, … Read More

Philly ETE #30 – Deconstructing the Lambda Architecture. A Small, Fast Data Geek’s Journey Through Big, Slow Data – Darach Ennis

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From the abstract: Map Reduce begat Hadoop begat Big Data. NoSQL moved us away from the stricture of monolithic storage architectures to fit-for-purpose designs. But, Houston, we still have a problem – architects are still designing systems like they did in the ‘70s. Yet most systems are still designed for store-then-compute rather than to observe, … Read More

Philly ETE #29 – Data in Motion: Latency and Throughput – David Richardson & John Granieri

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From the abstract: All distributed systems are constrained by their ability to move data between components. We will talk about the engineering discipline required to achieve low latency and high throughput. Examples will be given from low latency C++ and high throughput python components used in SIG’s trading and data analysis stack. SIG is a … Read More

Philly ETE #28 – Coaching Teams Along the Path to Agile Fluency – Diana Larsen

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From the abstract: Going “Agile” can confer a number of benefits to teams and organizations, but all too often those promised benefits aren’t fully delivered and everyone wonders why. As organizational leaders/mentors and Agile coaches, we find ourselves confronted when the promise of Agile doesn’t match the reality. How do we avoid the traps of … Read More

Philly ETE #27 – Call Me Maybe: Distributed Databases and Linearizability – Kyle Kingsbury

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From the Abstract: We rely on distributed databases and queues to store and process data reliably, but many fall short of their marketing promises. I’ve spent the last year building tools to stress and analyze popular databases during network partitions, uncovering everything from undocumented behavior to catastrophic data loss. In this installment of the Jepsen … Read More

Philly ETE # 26 – Building the “Front Half” of Your App – Ben Alman

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From the abstract: As web applications have become more complex, we’ve addressed performance, usability and scaling concerns by promoting JavaScript from second-class citizen (image rollovers, form validation) to first-class citizen (business logic, app routing, Ajax, templating). However, in doing so, most of us haven’t optimized our process to treat JavaScript and its front-end siblings, CSS … Read More

Philly ETE #25 – Automating Your Way Out of the Dark Ages: Our Experience with (And Without) PhoneGap Build – Burin Asavesna

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From the abstract: This is a talk sharing TripCase’s (phonegap.com/app/tripcase/) experience with (and without) PhoneGap Build. We’ll walk through our journey and discuss how it shaped expectations on how quickly we should be getting our code in the hands of fellow testers and stakeholders.

Philly ETE #24 – A Look at Polyglot Data and Event Sourcing – Greg Young

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From the abstract: We are forced to solve many problems with respect to handling data. Many concepts work in our current models, many do not. Picking the wrong model can lead to massive amounts of accidental complexity. “Polyglot data” should not be confused with “polyglot persistence.” The former refers to using multiple data representations in … Read More