KubeCon + CloudNativeCon China 2018

Danish TV station TV 2 runs a nationwide, very popular entertainment show called “Fuld Plade”. The show is basically a bingo show, where the audience can participate in the bingo game live on their smartphones, tablets, or computers. The nature of live TV shows add a very interesting workload scenario where the application needs extremely high scalability. During the hour of the show, the load on the system increases by a factor of 100, and is therefore a very good case for highly scalable solutions.

The presentation will show how we at Peytz & Co solved the task of delivering this kind of solution, using GoLang deployed to a Kubernetes cluster, and how using Prometheus helped us gain valuable insight into the performance of the application.

Database as a Service is one of the most interesting and challenging domains in the cloud industry. We’re migrating distributed databases like Greenplum (traditional MPP database) and Apache HAWQ (Hadoop native SQL engine) to make it a reality.

This talk will be about the lessons we’ve learned - the best practices and pitfalls we’ve discovered during our journey which includes:

- How to containerized distributed database and what help could Kubernetes provide?
- How to redesign legacy architecture of distributed database to be cloud native?
- How to make smart scheduler for optimal resource utilization?
- How to distribute stateful workloads and improve performance by data locality?
- How to leverage Operator pattern to automate distributed database operation?
- How to integrate CNCF projects with distributed database to make it easy to use?

Legacy .Net Framework applications still take significant roles in enterprise environment, most of them are monolithic apps based on .Net framework.  Survey shows quite a few companies  are interested in .Net Core microservice and container technologies.

However, There will be a lasting period when .Net framework and .Net Core co-exist and collaborate with each other. One of the challenges that most companies have to face is how to build a unified supporting infrastructure and platform that work for both generations.

In this presentation, Hongxi will demonstrate a real life case and introduce the solutions that include: 1.) Windows Server 2016 container environment and .Net Framework services implemented and managed with Kubernetes; 2.) .Net Core services running in Linux containers; 3.) some of the technological challenges in Windows Container deployment supported by Kubernetes.

What was so compelling about Istio that people would choose to run it in production at version 0.2 Alpha, just two months after it was released?

In this presentation attendees will learn:
- how different Kubernetes customers have been using it in production for over 12 months
- some of the use cases at Google which inspired Istio
- concrete next steps about how you can integrate Istio into your testing environment and start validating if it's useful for you

Vitess was one of the first cloud-ready relational database systems. It served massive qps at Youtube on Borg - Google’s internal cloud orchestration software, and the precursor to Kubernetes. It has been 8 years since Vitess first served traffic at Youtube, and now many companies around the world depend on Vitess to serve production data at scale. Vitess is used on premise, in the cloud, on bare-metal or on orchestration frameworks like Kubernetes.

PlanetScale’s co-founder & CEO, Jiten Vaidya, will present the Vitess features that make it a natural for cloud orchestration environments such as Kubernetes.

Xin Lv from JD.com will present JD’s work on using and enhancing Vitess on JD's e-commerce platform. Specifically, he will show how JD uses Vitess to manage large volumes of complex transitional data to serve massive qps on one of the largest Kubernetes platforms in the world.

As a world-class comprehensive energy company, PetroChina has chosen the industry leading technology platform from Kubernetes - not only to eliminate information isolation, but also to enhance interconnectivity and mining through info-connectivity.
 
How does  Kubernetes help PetroChina build the Cloud Native platform to achieve the following goals?
-Quickly iterate the intelligent Exploration Information System
-steadily standardize the management system
-standard workflows
-Visualization of the operation situation
-Intelligent failure analysis
-Automatic maintenance operation
-Digital quality assessment
 
The project scope concurs five major platform modules, including general purpose platform technology, software development and software operation (DevOps), microservice, middleware and data lake service. It's worth mentioning that, this is the largest container project to budget ever in China.

Our team use Mesos for three years. Now we choose Kubernetes instead of Mesos. There are some tips to help the others like us to use Kubernetes.

Nine topics for this speech: Background, Container Network, ELB, Login & Audit, Security, Monitor, Log, Stateful Service Package and The Future.

All of our architectures and solutions are designed as decoupling systems, so we can use the same way to adapt every orchestration system.

We slove the problem of network performance in our own way. We support kinds of packages, tools, plugins to help user to deploy jobs, and at the same time we support monitor and log collection.

So, how the parts of system work together? To help better the ecosystem, we will share what we meet and how we slove these problems.

At GO-JEK, we build products to help 100 millions of Indonesians commute, shop, eat and pay, every month. With the pace of GO-JEK business that has been growing 6666x in 36 months, we need an infrastructure platform that could scale quickly and deliver products to customers faster. Three years ago, all of GO-JEK services ran in our baremetal machines in Jakarta. Today, they are running across multi-cloud: GCP, AWS, and on-premise datacenter. GO-JEK is in the process of migrating applications to containers, centered around Kubernetes. We chose Kubernetes because of its portability across cloud and dynamic scaling.

We will talk about the work that went into building Kubernetes custom resources for our workload deployment, custom controller, integration with Consul to discover external services, and how GO-JEK got to where it is today: processing 350 million internal API calls per second.