PlusOne

AI is evolving rapidly, and much of the recent advancement is driven by Deep Learning, a machine learning technique inspired by the inner-working of the human brain. In this session, we will discuss what deep learning is, and the new capabilities it enables. We will dive into a few computer vision and natural language models that are demonstrating super-human performance, and to integrate these models into your existing Java system leveraging Apache MXNet – an open source deep learning framework – and it’s Java API. In our session, we will show a brief introduction to DL, specifically about applications using MXNet Gluon to do the training and Java to do inference with different DL models in Production systems. We would also demostrate how to run and deploy the DL models with MXNet Java API. By the end of the session, audience will learn how to leverage deep learning tasks using Apache MXNet, the various gotchas involved, and where/how to learn more.

Many data scientists are already making heavy usage of the Jupyter ecosystem for analyzing data using interactive notebooks. Apache Toree (incubating) is a Jupyter kernel designed that enables data scientists and data engineers to easily connect and leverage Apache Spark and its powerful APIs from a standard Jupyter notebook to execute their analytics workloads. In this talk, we will go over what’s new with the most recent Apache Toree release. We will cover available magics and visualizations extensions that can be integrated with Toree to enable better data exploration and data visualizations. We will also describe some high-level design of Toree and how users can extend the functionality of Apache Toree powerful plugin system. And all of these with multiple live demos that demonstrate how Toree can help with your analytics workloads in an Apache Spark environment.

There is an increasing need to bring machine learning to a wide diversity of hardware devices from the datacenter to the edge. Current frameworks rely on vendor-specific operator libraries and optimize for a narrow range of server-class GPUs. Deploying workloads to new platforms such as mobile phones, embedded devices, and accelerators (e.g., FPGAs, ASICs) requires significant manual effort. In this talk, we will talk about Apache TVM — an end to end optimizing deep compiler stack that brings deep learning models on diverse hardware back-ends that are competitive with state-of-the-art hand-tuned libraries for low-power CPU, mobile GPU, and server-class GPUs.

Good code isn’t enough for a successful open source project. First of all, only you know how to use what you’ve made. Maybe it’s time for a little UI and UX help? At the very least some documentation! Next, how is anyone else going to find what you’ve created? And that’s only the beginning. Ruth Suehle, manager of Red Hat’s Open Source and Standards community leadership team, will take you through examples of the best and the worst, from projects large and small, to help you see what you need beyond your code to build a successful open source project and community.

This presentation aims at showcasing the Apache Kibble project, getting new users set up with their own Kibble instance and getting started with project and community metrics. During this talk, the audience will learn what Apache Kibble is, what it does, HOW it does it, and how you can easily get set up in a few minutes and start reviewing metrics from your own project. We will also show a demo instance with a select handful of Apache projects, and dive into both single community metrics as well as comparative measuring across foundations. This presentation is aimed at both audiences wishing to start using community metrics and KPIs on their own hardware, as well as people just along for a quick demo of the project. The presentation will end with a discussion about KPIs and areas where these metrics can improve.

Apache Beam is a big data processing framework that can run on multiple big data engines, including Apache Spark, Apache Flink, Apache Samza, Apache Apex, and a number of non-Apache OSS engines and proprietary engines. After situating Beam in the OSS ecosystem, I will share lessons from Apache Beam’s journey, including topics such as: – how do you onboard newcomers to the Apache Way?n – how is open source different / the same as internal corporate work?n – what are techniques for mitigating corporate politics in OSS governance?n – what does a healthy project look like in the stats?n – building community via pull requestn – how do OSS contributing teams look different?n – technical decisions have community impactn – how does ASF merit sustain projects for the long term?n – what seems to motivate volunteers?n – honoring non-code contributions

This talk will cover the evolution, the current status and the outlook of the China open source landscape and ecosystem. This talk will also share the summary and analysis of varies open source software survey reports for China, the largest software developers market in the world. The Apache Software Foundation’s projects and their communities play a critical role in leading and developing the OSS ecosystems in China where some leading IT enterprises and individuals, such as Huawei, Alibaba, Baidu, Tencent, Kyligence, SkyWalking, etc., are leading the way in contributing to many ASF projects, open-sourcing their projects, donating to and incubating their projects at ASF, graduating as top-level project of ASF, developing their respective ASF project communities in China, last but not least, advocating the Apache Way when and wherever possible. This reach-out and engage-in journey, starting 2014, to build and cross the culture, language and diversity bridge does not come easy. A story of sweat and tears to share and interact with the audience.

Apache has a 20 year history of building resilient and sustainable communities of software developers through the Apache Way. While some companies are adopting Inner sourcing, other companies still have a taboo surrounding open source culture. Many of us work at these open source agnostic companies and don’t have manager in our title. Are those of us in those companies doomed to a life of Dilbert? You don’t have to be! This talk is all about how to bring a little Apache culture to your Apache oblivious team. This talk will cover how a little Apache Way goes a long way solving common team problems with knowledge sharing, technical/personal disputes, mentorship, and shipping software. So even though you’re the only one on your team that “gets” Apache, everyone can share in the rewards of being a part of an effective team.

I’d like to cover the landscape of D&I in tech, then in open source, and then in the ASF. I’d like to discuss the dimensions used to evaluate our current status and I’d like to discuss the efforts we’re working on to changer things. I will like to give this talk in the general track to a) celebrate the 20th Anniversary by reflecting back in our wins on diversity and inclusion and b) make it part of the foundation’s big picture

Although mostly known as a fast and reliable web server, Apache httpd also excels as a reverse proxy.nIn this session find out how to setup httpd as a reverse proxy, how to connect to Tomcat using HTTP and AJP.nWe will also look to the full feature list of Apache httpd proxying capability.