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What's New In Flagger v1.0

In this session, Stefan will talk about how Flagger was born and how the project evolved since its first alpha release in late 2018. He will give an overview of Flagger's main features and highlight the API changes in version 1.0. We will discuss the 2020 roadmap and future integration with Kubernetes Ingress v2.

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A GitOps model for High Availability and Disaster Recovery on EKS

Enterprises today require high availability and disaster recovery for critical business systems. One of the advantages Kubernetes can bring to the table is greater reliability and stability. When disaster strikes, cluster or application recovery should be quick and dependable. 

Paul Curtis, Principal Solutions Architect at Weaveworks will demonstrate how to leverage Weave Kubernetes Platform and GitOps to create disaster recovery plans and highly available clusters with minimal effort on EKS. 

In this webinar you will learn:

  • The 4 principles of GitOps (operations by pull request)
  • How to build for reproducibility, security and scale with EKS from the start 
  • GitOps driven cluster and cluster lifecycle management with WKP

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GitOps powered management for multi-cluster Kubernetes across any cloud

Kubernetes is the foundation of any cloud-native architecture today, however it is just one part of a modern enterprise infrastructure. In order to truly unlock cloud native agility, platform teams require new components and methodologies in order to successfully operationalize the entire stack. In reality many enterprise IT teams are faced daily with production challenges resulting from managing multi-cluster Kubernetes across multiple clouds.

What should you consider when designing and deploying a Kubernetes-centric architecture?

Solo.io and Weaveworks are teaming up to discuss common pitfalls and to demonstrate how GitOps workflows in the Weave Kubernetes Platform along with Gloo and Service Mesh Hub can configure, operationalize and extend your application environment across clouds.

* What do you need for a production grade Kubernetes infrastructure?
* What pitfalls to avoid when managing multi-cluster and multi-cloud
* How to control application traffic and security from Ingress to Service Mesh
* How to deliver sophisticated cluster lifecycle management of maintenance, upgrades and patches with GitOps

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A GitOps model for managing governance, risk and compliance for Kubernetes platforms

4 out of 10 enterprises are now running Kubernetes in a production environment today but many still consider security and policy concerns an overwhelming obstacle and bottleneck to innovation. 

The GitOps workflows in Weave Kubernetes Platform gives teams a head start as it relies on git’s strong correctness and security. Every pull request has a built-in and fully auditable trail. Many companies need to look beyond just compliance and seek a full GRC solution that’s integral to their workflows.

In this webinar we will discuss and demo, how GitOps workflows: 

  • Provide separation of concerns between development and deployment
  • Automate transparency and auditability at all levels
  • Isolate authentication and authorization between concerns
  • Reduce risk through rollback and logging

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Defining and Enforcing Policies the GitOps Way with Michael Hausenblas

GitOps is a great way to reliably and securely deploy both the infrastructure and applications in the context of Kubernetes. In this talk we will have a look at how we can use CNCF Open Policy Agent (OPA) to define and enforce policies along the entire supply chain. For example, an OPA Rego-based bot can review Git commits and automatically provide feedback, and in the runtime space the Gatekeeper project can be of great value.

Speaker: Michael Hausenblas, Developer Advocate, AWS
Bio: Michael is a Developer Advocate at AWS, part of the container service team, focusing on container security. Michael shares his experience around cloud native infrastructure and apps through demos, blog posts, books, and public speaking engagements as well as contributes to open source software. Before AWS, Michael worked at Red Hat, Mesosphere, MapR and in two research institutions in Ireland and Austria.

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