Orchestration at Scale 0.2

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The loading bay - Techspace shoreditch

25 Luke St

Hackney

London

EC2A 4DS

United Kingdom

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Event description
eSynergy have teamed up with Weaveworks and AWS to help you know how to scale your Kubernetes clusters in the cloud.

About this Event

Kubernetes has cemented its place as the number one Orchestration tool of choice. Companies all over the world are putting new and existing workloads into Kubernetes to run in the public cloud. But how do we minimise the complexity of operating Kubernetes workloads when they scale?

Following on from such a successful first event, Orchestration at Scale 0.2 will enable you to implement changes so you can fully benefit from Kubernetes.

So many of us are building or already have clusters running in production, but how do we successfully scale Kubernetes in a developer-centric way?

Join us on the 27th November for a morning of high-level discussions, in depth case studies and networking opportunities to cover how to successfully implement and scale Kubernetes in AWS.

Agenda:

8am; Arrival, breakfast and networking

Opening; Ryan Perkins, Head of Cloud & Containers at eSynergy

8.30am; Getting started with EKS CTL with Steve George, COO at Weaveworks

Steve’s talk will focus on Weaveworks partnership with Amazon and how Weaveworks and EKS can make it simple for enterprises to deploy, manage, and scale containerized applications. Steve will explain how this can be achieved using EKS CTL, a simple command line utility for creating and managing Kubernetes clusters on Amazon EKS, which Weaveworks created in partnership with Amazon.

Steve George is the COO of Weaveworks heading up product, professional services and sales. Prior to Weaveworks, in a similar capacity, Steve spent over 8 years growing Canonical and helping to support large enterprises customers with Ubuntu and other FOSS projects.

8.50am; When to Mesh with Ric Harvey, Solutions Architect at Amazon Web Services

What are services meshes and do you need one to orchestrate at scale? In this session Ric will talk about AppMesh and how it integrates with EKS and what features you can bring to your application running in Kubernetes. You’ll learn how service meshes can help you reduce costs, add end to end encryption in your application and aid your CI/CD pipeline.

Ric is a solutions architect at AWS with over 10 year’s experience of cloud migrations and even more years in linux admin. He specialises in Containers and CI/CD pipelines and love to solve engineering problems.

9.10am; Break

9.30am; Machine Learning: Training to explainability on Kubernetes with Lee Baker, Commercial Leader at Seldon

Lee is helping people predict and shape their future using machine intelligence. He is Commercial Lead at Seldon where he's responsible for client development and go-to-market strategy. Passionate about the confluence of business and technology, Lee is helping enterprise customers like Barclays realise success through the application of machine learning. Seldon have developed tools that allow you to manage, serve and scale models built in any framework on Kubernetes. Seldon is an alumnus of the Barclays Techstars Accelerator 2016.

9.50am; Panel Discussion & Questions with Steve George, Ric Harvey and guest speaker Toby Clemson

Toby Clemson has over a decade of experience in technology, and is able to both lead technology strategy and define evolutionary architecture while remaining hands on in the code and working directly with the developers he leads. Prior to joining Global Online Health, Toby was the CTO of a digital challenger bank responsible for designing and developing the architecture and roadmap for a scalable cloud native technology platform.

Toby was also a Technical Architect at ThoughtWorks, where he was heavily involved in building large scale platforms across multiple verticals, including Financial Services, Retail and Healthcare.

10.30am; Goodbye from eSynergy

Date and Time

Location

The loading bay - Techspace shoreditch

25 Luke St

Hackney

London

EC2A 4DS

United Kingdom

View Map

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