The software world is moving to microservices. For all their benefits, microservice architectures expose many distributed computing problems that developers need to solve–problems like service discov …

Yuri Shkuro, Bryan Liles, Won Jun Jang, and Prithvi Raj walk you through implementing distributed tracing in modern applications, using the CNCFs OpenTracing project. You'll explore a set of sample applications and learn how to instrument them for tracing. You'll also use a tracing system such as Jaeger, Zipkin, or LightStep to visualize complex transactions that might span multiple processes.

Modern enterprises produce data at increasingly high volume and velocity. To process data in real time, new types of storage systems have been designed, implemented, and deployed. Matteo Merli and Sijie Guo offer an overview of Apache DistributedLog and Pulsar, real-time storage systems built using Apache BookKeeper and used heavily in production.

This lab is part lecture and part hands-on, with exercises being used to drive home concepts covered in the lecture.Hearing a lot about OpenStack and want to check it out for yourself? See how quick a …

Your project's code base is rock solid, you are rolling releases early and often, your test suite is comprehensive and running regularly, your code is well performing without any glitches. Everything …

Rippy will demonstrate Docker running on his rooted Android Wear watch. To get this working required Docker, OpenEmbedded, Yocto, and AsteroidOS which he'll explain. If all goes well with the demonst …

Addy Osmani explains why progressive web apps (PWAs) are becoming the new normal for fast, reengaging mobile web experiences for large brands such as Twitter, Lyft, and Forbes. Addy also explores how PWA support has massively improved in modern frameworks like React, Preact, Polymer, and Vue, lowering the barriers for developers and businesses to explore them.

Wojciech Biela and ukasz Osipiuk offer an introduction to Presto, an open source distributed analytical SQL engine that enables users to run interactive queries over their datasets stored in various data sources, and explore its applications in various big data problems.

Ready to dip your toe into data science? Va Barbosa explains why you should start with notebooks and PixieDust, a new open source library that helps data scientists and developers working in the Jupyter Notebook and Apache Spark be more efficient.

For years, REST has been the standard architecture for APIs. But a new technology is emerging, one that's perfect for developing rich, client-friendly APIs: GraphQL. David Celis and Garen Torikian explain why this query language is being adopted by companies like Shopify, Pinterest, and GitHub and show you how you can leverage GraphQL for your own APIs.

From the moment you create your Twitter bio, write your first blog post, or share your first Facebook article, you are building your brand. It can be daunting, but if you proactively manage your brand, you can get ahead of the curve and put the content you care about in front of the public eye. Neha Batra explains how to create a strategy that works for you and grow your brand from it.

Apache Kylin, which started as a big data OLAP engine, is reaching its v2.0. Yang Li explains how, armed with snowflake schema support, a full SQL interface, spark cubing, and the ability to consume real-time streaming data, Apache Kylin is closing the gap to becoming a real-time data warehouse.

Apache DistributedLog (incubating) is a low-latency, high-throughput replicated log service. Sijie Guo shares how Twitter has used DistributedLog as the real-time data foundation in production for years, supporting services like distributed databases, pub-sub messaging, and real-time stream computing and delivering more than 1.5 trillion (17 PB) events per day.

Twitter processes billions of events per day the instant the data is generated using Heron, an open source streaming engine tailored for large-scale environments. Bill Graham, Avrilia Floratau, and Ashvin Agrawal explore the techniques Heron uses to elastically scale resources in order to handle highly varying loads without sacrificing real-time performance or user experience.

Teradata joined the Presto community in 2015 and is now a leading contributor to this open source SQL engine, originally created by Facebook. Join Kamil Bajda-Pawlikowski to learn about Presto, Teradata's recent enhancements in query performance, security integrations, and ANSI SQL coverage, and its roadmap for 2017 and beyond.

James Bradbury offers an overview of PyTorch, a brand-new deep learning framework from developers at Facebook AI Research that's intended to be faster, easier, and more flexible than alternatives like TensorFlow. James makes the case for PyTorch, focusing on the library's advantages for natural language processing and reinforcement learning.