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Friday, December 8 • 3:40pm - 4:15pm
Enable your Microservices with Advanced Resiliency and Fault Tolerance Leveraging Istio [I] - Animesh Singh & Tommy Li, IBM

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Building and packaging microservices is one part of the story. Given a highly salable and distributed microservices deployment is going to face failures at different layers, how do we make these microservices resilient and fault tolerant? How do we enforce policy decisions such as fine-grained access control and rate limits? How do we enabled timeouts/retries, health checks etc? Even though some language specific frameworks address these issues, the implementation is often framework or language specific.

If the underlying framework or language changes, the resiliency features need to be reimplemented or ported over. And in some cases, applications also have the responsibility of implementing the code and configuration required for resiliency and fault tolerance. A Service-mesh architecture attempts to solve these issues by extracting the common resiliency features needed by a microservice framework away from the applications and frameworks and into the platform itself. Istio provides an easy way to create this service mesh.

In this talk we will discuss how to build, deploy, connect your Java microservices leveraging Istio service mesh. We then show how to configure and use circuit breakers, timeouts/retries, rate limits and other advanced resiliency features from Istio without changing the application code.

Speakers
avatar for Tommy Li

Tommy Li

Software Developer, IBM
Tommy Li is a software developer in IBM focusing on Cloud, Kubernetes, and Machine Learning. He is one of the Fabric for Deep Learning’s main contributors and worked on various developer code patterns on Kubernetes, Microservice, and deep learning application to provide use cases... Read More →
avatar for Animesh Singh

Animesh Singh

STSM, AI Platform, IBM
Animesh Singh is an STSM and lead for CODAIT and works with IBM Watson and Cloud Platform, where he leads machine learning and deep learning initiatives and works with communities and customers to design and implement deep learning, machine learning, and cloud computing frameworks... Read More →


Friday December 8, 2017 3:40pm - 4:15pm
Meeting Room 9AB, Level 3