Chariot Solutions

Philly ETE 2016 #13 – Johanna Rothman – Agile Hiring: It’s a Team Sport

You can apply agile approaches to your hiring, iterating on everything. You can get feedback as you go, and involve the entire team, including the sourcing. You can teach your recruiters to use a kanban board to track candidates and where they are in the pipeline. You can iterate on the job description (and job ad) based on what you see in candidates. When you involve the entire team, you can create questions and auditions that work for you. You can identify candidates who fit your culture and those who don’t. This session is a timeboxed interactive workshop. Be prepared to experiment and learn. Let’s make your hiring more agile.

Philly ETE 2016 #12 – Heather Miller – Academese to English: A Practical Tour of Scala’s Type System

Scala is famous in part for having one of the richest type systems of all mainstream programming languages today. Despite its reputation, Scala’s type system remains one of the most under-documented and jargon-heavy aspects of Scala. This talk will turn the academese into English, providing an example-rich tour of Scala’s type system, covering all the things that make people call it “powerful”. This talk isn’t about showcasing a bunch of challenging little logical puzzles with types; on the contrary, this talk is about showing practical uses of Scala’s type system, making it work for you and your users.

Philly ETE 2016 #11 – Andy Webber – Modern C++ for Fun and Profit: This isn’t your old C++

Think that C++ is an antiquated language and isn’t worth learning? Think that programming in C++ is too difficult and you’ll spend all of your time debugging segmentation faults and memory leaks? In this talk you’ll find out some of how C++ has changed in C++11, C++14, and beyond in ways that make programmer’s lives easier and allow you to write high-performance, maintainable, and well-designed code.

Philly ETE 2016 #10 – Ryan Brush – Untangling Healthcare with Spark and Dataflow

Spark is becoming a data processing giant, but it leaves much as an exercise for the user. Developers need to write specialized logic to move between batch and streaming modes, manually deal with late or out-of-order data, and explicitly wire complex flows together. This talk looks at how we tackled these problems over a multi-petabyte dataset at Cerner.

Philly ETE 2016 #9 – Srinivas Palthepu – Emergence of Real-Time Analytics: Real-time Analysis of Customer Financial Activities With Apache Flink

In this talk we present a business use case where Capital One needs to process customer activities real-time and react to events appropriately as needed. We then present our experience in building a real-time analytics application that serves the business using a set of open source software frameworks with Apache Flink at its core for real-time stream processing engine.

Philly ETE 2016 #6 – Sean Cribbs – Reliable High-Performance HTTP Infrastructure with nginx and Lua

We recently replaced a proprietary API management solution with an in-house implementation built with nginx and Lua that is more robust, higher performance, and has greater visibility. Learn about our development process and the overall architecture that allowed us to write high-level code while enjoying native code performance, and how we leveraged other open source tools like Vagrant, Ansible, and OpenStack to build an automation-rich delivery pipeline. We will also take an in-depth look at our capacity management approach that differs from the rate limiting concept prevalent in the API community.

Philly ETE 2016 #5 – Andrea Falcone – Supercharging Your Mobile App Release with Fastlane

How would you like 2 extra hours of your time back every week? All mobile app developers face similar workflows as they work to upload an app to the App & Play Store. Many of these processes are currently done manually, but why not automate them? Fabric’s set of developer tools, collectively called fastlane, makes building, testing, and releasing your app faster, reproducible and less troublesome, leaving developers more time to focus on feature code and not deployment!

Philly ETE 2016 #4 – Evan Chan – NoLambda: A new architecture combining streaming, ad hoc, machine learning, and batch analytics

In today’s world of exploding big and fast data, developers who want both streaming analytics and ad hoc, OLAP-like analysis have often had to develop complex architectures such as Lambda—a path for fast streaming analytics using NoSQL stores such as Cassandra and HBase with a separate batch path involving HDFS and Parquet. While this approach works, it involves too many moving parts, too many technologies for ops, and too many engineering hours. Helena Edelson and Evan Chan highlight a much simpler approach to combine streaming and ad hoc/batch analysis using what they call the NoLambda stack (Apache Spark/Scala, Mesos, Akka, Cassandra, Kafka), plus FiloDB, a new entrant to the distributed-database world that combines streaming and ad hoc analytics.