Ray Tsang

gRPC is a high performance, open source, general RPC framework that puts mobile and HTTP/2 first. gRPC is based on many years of Google's experience in building distributed systems - it is designed to be low latency, bandwidth and CPU efficient, to create massively distributed systems that span data centers, as well as power mobile apps, real-time communications, IoT devices and APIs. It's also interoperable between multiple languages.

But beyond that fact that it's more efficient than REST, we'll look into how to use gRPC's streaming API, where you can establish server-side streaming, client-side streaming, and bidirectional streaming! This allows developers to build sophisticated real-time applications with ease.

In addition to learning about gRPC and HTTP/2 concepts with code and demonstrations, we'll also deep dive into integration with existing build systems such as Maven and Gralde, but also frameworks such as Spring Boot and RxJava. - Configuring projects to generate gRPC stub code - Using Protobuf3 to define services - Creating synchronous and asynchronous services, with streaming. - Load balancing - Interceptors

gRPC is a high performance, open source, general RPC framework that puts mobile and HTTP/2 first. gRPC is based on many years of Google's experience in building distributed systems - it is designed to be low latency, bandwidth and CPU efficient, to create massively distributed systems that span data centers, as well as power mobile apps, real-time communications, IoT devices and APIs. It's also interoperable between multiple languages.

But beyond that fact that it's more efficient than REST, we'll look into how to use gRPC's streaming API, where you can establish server-side streaming, client-side streaming, and bidirectional streaming! This allows developers to build sophisticated real-time applications with ease.

In addition to learning about gRPC and HTTP/2 concepts with code and demonstrations, we'll also deep dive into integration with existing build systems such as Maven and Gralde, but also frameworks such as Spring Boot and RxJava. - Configuring projects to generate gRPC stub code - Using Protobuf3 to define services - Creating synchronous and asynchronous services, with streaming. - Load balancing - Interceptors

Kubernetes is a powerful, open source, container orchestration / cluster management tool created by Google. It drew upon all the lessons learned from a near-decade of using containers at Google. Kubernetes handles a number of failure scenarios gracefully, from a crashed process, to a failure of a cluster node! We'll show this through a real Raspberry Pi computing cluster that runs Kubernetes - and play a real-life chaos monkey by pulling the plugs!

Kubernetes is a powerful, open source, container orchestration / cluster management tool created by Google. It drew upon all the lessons learned from a near-decade of using containers at Google. Kubernetes handles a number of failure scenarios gracefully, from a crashed process, to a failure of a cluster node. We'll show this through a real Raspberry Pi computing cluster that runs Kubernetes - and play a real-life chaos monkey by pulling the plugs!

In this session, we'll look beyond container orchestration with Kubernetes, but also demonstrate its failure handling by pulling the plugs on random nodes from a Raspberry Pi computing cluster: - Overview of Kubernetes - Process resource isolation to prevent a run-away process affecting another - Use Replication controller to ensure a crashed process is restarted - Who wants to pull a network or power plug from a computing cluster?

Kubernetes is a powerful, open source, container orchestration / cluster management tool created by Google. It drew upon all the lessons learned from a near-decade of using containers at Google. In this session, we'll look beyond container orchestration with Kubernetes, but also taking a deep dive into more advanced feature such as autoscaling. But its most powerful feature is its versatile REST API which you can use to tailor Kubernetes to your needs.

Kubernetes is a powerful, open source, container orchestration / cluster management tool created by Google. It drew upon all the lessons learned from a near-decade of using containers at Google. In this session, we'll look beyond container orchestration with Kubernetes, but also taking a deep dive into more advanced feature such as autoscaling. But its most powerful feature is its versatile REST API which you can use to tailor Kubernetes to your needs.

In addition to the Kubernetes Autoscaler, We'll look at: - How to access the Kubernetes API securely - The different Kubernetes resources, such as Pod, Replication Controller, Service, etc. - How to update/manage your entire cluster using the API

We'll demonstrate all of the concepts via a custom autoscaler that scales a stateful application using custom metrics!