Kubernetes and Operators have stormed the IT industry, but the enterprise landscape is still a mix of bare metal, virtual machines and Kubernetes, on-prem and on public clouds, all running different workloads. How can we manage the lifecycle of all those applications across all these environments, whithout having to learn new tools and frameworks as the industry is already moving to serverless? In this fast-flowing demo we will show you how the Charmed Operator Framework brings a unified approach for application management across clouds and infrastructure generations.

This session explores how charmed operators help streamline the deployment and Day-2 ops of Legend platform. Goldman Sachs had open sourced its internally developed Legend data management platform into FINOS. Legend is an end-to-end data platform that handles the full data lifecycle used across pricing, risk and reporting business function for FS organisations. It allows companies to build data-driven applications and insightful business intelligence dashboards.

There are common patterns and best practices across different verticals to be successful with Kubernetes adoption and everything starts with setting the appropriate business goals. Canonical is helping businesses in various industries, such as Telco, FinServ, Human Resources and the public sector to define the right cloud native strategy and implement a fully open source solution tailored to their needs.

Operators, Models, Kubernetes, Hybrid Clouds, massive scale and bootstrapping quickly - Kubernetes is taking the the world by storm. So what's next? Mark Shuttleworth (one time astronaut, founder of Canonical, the company behind Ubuntu) talks with David Booth (VP Cloud Native Applications at Canonical) about the past and lays down a vision for the future.

As developers and businesses are shifting their attention to the edge, everyone wants to build their own edge clusters and manage them. However, building a highly available edge cluster is not easy. Kubernetes simplifies container deployments by abstracting the resource management details from the users, allowing them to deploy using standard CLI or templates.