management

Deep Dive: Cluster Lifecycle SIG (Cluster API)

Deep Dive: Cluster Lifecycle SIG (Cluster API)

December 13, 2019

The Cluster Lifecycle SIG is the Special Interest Group that is responsible for building the user experience for deploying and upgrading Kubernetes clusters. Our mission is examining how we should cha …
HomeAway's Multi-Cloud Traffic Director

HomeAway's Multi-Cloud Traffic Director

December 13, 2019

Case Study about how HomeAway built a global Multi Cloud Traffic Management solution using Content Distribution Networks and a hybrid of public and private clouds. Over the last two years we have grow …
Unintended consequences

Unintended consequences

December 13, 2019

Kim Crayton explains how to reduce exclusionary practices in your organizations and communities.
Architecting a data platform for enterprise use

Architecting a data platform for enterprise use

December 12, 2019

Building a data lake involves more than installing Hadoop or putting data into AWS. The goal in most organizations is to build multiuse data infrastructure that is not subject to past constraints. Mark Madsen and Todd Walter explore design assumptions and principles and walk you through a reference architecture to use as you work to unify your analytics infrastructure.
Deep Dive: VMware SIG

Deep Dive: VMware SIG

December 12, 2019

Kubernetes allows using topology labels to affect the schedulers placement of pods. This is used to spread pods across availability zones, while still respecting resource access and availability conc …
Big data meets renewable energy: Building a real-time asset management platform for renewable energy

Big data meets renewable energy: Building a real-time asset management platform for renewable energy

December 11, 2019

Switzerland-based startup WinJi capitalizes on two current megatrends: big data and renewable energy. Stamatis Stefanakos offers an overview of WinJi's TruePower Asset Management Platform, covering the overall architecture and the motivation behind it, the physics behind the data, and the business case.
Running MySQL on Kubernetes

Running MySQL on Kubernetes

December 11, 2019

MySQL is the world's most popular open source database and there are a number of ways to run it on Kubernetes. This talk will explain and demonstrate how running a complex stateful application such as …
Single Sign-On for Kubernetes

Single Sign-On for Kubernetes

December 11, 2019

User management is hard. At Pusher, with an expanding engineering team, we wanted to build a simple identity management experience within our Kubernetes infrastructure. In this talk, I explore authent …
Deep Dive: Harbor

Deep Dive: Harbor

December 10, 2019

Harbor is an open source trusted cloud native registry project that stores, signs, and scans content. It has been widely used by organizations large and small around the world to resolve the image man …
Game Server Networking with Envoy

Game Server Networking with Envoy

December 9, 2019

Game servers can be incredibly difficult to scale and operate within cloud environments. Latency management is paramount to ensuring that game players' experiences to vary widely even on less reliable …
How DHL is increasing efficiency and reducing distance traveled across the warehouse with the IoT

How DHL is increasing efficiency and reducing distance traveled across the warehouse with the IoT

December 9, 2019

DHL has partnered with Conduce to provide a human interface that provides real-time visualizations that track and analyze distance traveled by personnel and warehouse equipment, all calibrated around a center of activity. Michael Troughton explains how this immersive data visualization gives DHL unprecedented insight to evaluate and act on everything that occurs in its warehouses.
How to protect big data in a containerized environment

How to protect big data in a containerized environment

December 9, 2019

Recent headline-grabbing data breaches demonstrate that protecting data is essential for every enterprise. The best-of-breed approach for big data is HDFS configured with Transparent Data Encryption (TDE), but TDE can be difficult to configure and manageissues that are only compounded when running on Docker containers. Thomas Phelan discusses these challenges and explains how to overcome them.
Lightning Talk: Extending Istio Service Mesh with Envoy v2 APIs for Stateless and Stateful Services

Lightning Talk: Extending Istio Service Mesh with Envoy v2 APIs for Stateless and Stateful Services

December 8, 2019

Envoy v2 APIs have many new features for both stateless and stateful service balancing and discovery. This talk will focus on how to run Envoy v2 API with Kubernetes and Istio, in order to extend the …
Lightning Talk: Istio by Example

Lightning Talk: Istio by Example

December 7, 2019

Istio is the cool new kid on the service mesh block: it can be deployed without the need for any change on the microservice-side and enhances their communication paths with encryption, resiliency, ide …
Machine learning platform lifecycle management

Machine learning platform lifecycle management

December 7, 2019

A machine learning platform is not just the sum of its parts; the key is how it supports the model lifecycle end to end. Hope Wang explains how to manage various artifacts and their associations, automate deployment to support the lifecycle of a model, and build a cohesive machine learning platform.
How We Built Contour, and What You Can Learn From Our Experience

How We Built Contour, and What You Can Learn From Our Experience

December 6, 2019

In 2017 Heptio launched Contour, a Kubernetes Ingress controller built using the Envoy proxy project from Lyft. This session will cover: - Why we chose Envoy as the data plane for our ingress contro …
Introduction to Istio Configuration

Introduction to Istio Configuration

December 6, 2019

Istio is an open platform that allows the operator to turn workloads into "services" by intent-driven configurations without rewriting/redeploying them. Istio configuration provides the operators cent …
Practical advice for driving down the cost of cloud big data platforms

Practical advice for driving down the cost of cloud big data platforms

December 6, 2019

Big data and cloud deployments return huge benefits in flexibility and economics but can also result in runaway costs and failed projects. Drawing on his production experience, Christopher Royles shares tips and best practices for determining initial sizing, strategic planning, and longer-term operation, helping you deliver an efficient platform, reduce costs, and implement a successful project.
Kubernetes on Supporting $8 Trillion Card Payments in China

Kubernetes on Supporting $8 Trillion Card Payments in China

December 5, 2019

Kubernetes use cases are far less heard in the financial industry in China, because the core financial system consists of complex brownfield applications that are not Kubernetes-friendly, and requir …
Scaling the AI hierarchy of needs with TensorFlow, Spark, and Hops

Scaling the AI hierarchy of needs with TensorFlow, Spark, and Hops

December 5, 2019

Distributed deep learning can increase the productivity of AI practitioners and reduce time to market for training models. Hadoop can fulfill a crucial role as a unified feature store and resource management platform for distributed deep learning. Jim Dowling offers an introduction to writing distributed DL applications, covering TensorFlow and Apache Spark frameworks that make distribution easy.
SIG Cluster Lifecycle Intro

SIG Cluster Lifecycle Intro

December 5, 2019

The Cluster Lifecycle SIG is the Special Interest Group that is responsible for building the user experience for deploying and upgrading Kubernetes clusters. Our mission is examining how we should cha …
You call it data lake; we call it Data Historian.

You call it data lake; we call it Data Historian.

December 4, 2019

There are a number of tools that make it easy to implement a data lake. However, most lack the essential features that prevent your data lake from turning into a data swamp. Naghman Waheed and Brian Arnold offer an overview of Monsanto's Data Historian platform, which can ingest, store, and access datasets without compromising ease of use, governance, or security.
Building deep reinforcement learning applications on BigDL and Spark

Building deep reinforcement learning applications on BigDL and Spark

December 3, 2019

Deep reinforcement learning is a thriving area and has wide applications in industry. Arsenii Mustafin shares his experience developing deep reinforcement learning applications on BigDL and Spark.
Cloud Native Identity Management

Cloud Native Identity Management

December 2, 2019

Identity Management (IDM) incorporates a definition of identity, authentication and authorization. Cloud native workload IDM is necessary to protect against an untrusted network and compromised or rog …
Keynote: Skip the Anxiety Attack - Build Secure Apps with Kubernetes

Keynote: Skip the Anxiety Attack - Build Secure Apps with Kubernetes

November 30, 2019

Software development today is more rapid, more distributed and more dynamic. As a developer, you really want to be able to focus your time on creating new solutions. But as much as you might want to i …
Managing Kubernetes: What You Need to Know About Day 2

Managing Kubernetes: What You Need to Know About Day 2

November 29, 2019

OK, so you have successfully deployed Kubernetes, but now what? This presentation will provide insights on how to best leverage your "Day 2" software deployment and operations with Kubernetes. With d …
Challenges to Writing Cloud Native Applications

Challenges to Writing Cloud Native Applications

November 27, 2019

Cloud native means designing software explicitly for the cloud, not trying to deploy to the cloud in retrospect - shoving a single replica of a monolith into Kubernetes wont cut it. Developing for …
Data science in the cloud

Data science in the cloud

November 27, 2019

In this talk Alex will discuss lessons learned from AWS SageMaker, an integrated framework for handling all stages of analysis. AWS uses open source components such as Jupyter, Docker containers, Python and well established deep learning frameworks such as Apache MxNet and TensorFlow for an easy to learn workflow.