Latest from the blog

February 08, 2022

Progressive Application Delivery with Weave GitOps - automation with precision and control

Canary deployments or progressive delivery is a technique for deploying new features and fixes at speed while minimising risk. We all know that the best way to break any code is to deploy it into production; it worked just fine in staging....

February 03, 2022

Stop doing progressive delivery manually - Use GitOps instead

In this blog we are examining different Kubernetes deployment strategies and taking a deeper look at progressive delivery with GitOps. Move from manual feature flagging to an operationalized and automated approach with Flagger and Weave GitOps.

September 16, 2021

Case Study: MediaMarktSaturn finds confidence to implement progressive delivery with Flagger

MediaMarktSaturn went from manual deployments to completely automated canary releasing using Flagger for progressive delivery. Find out more.

August 24, 2021

Progressive delivery made simple with Weave GitOps

Progressive delivery of applications is often times perceived as complicated to implement. Let's get you started with Weave GitOps and choice of service mesh so your team can experience more precise and reliable deployments through progressive delivery.

February 16, 2021

Progressively Delivering Applications Across Cloud and On-Premise

For many teams moving legacy services to run on a modern cloud native stack, is daring and sometimes not even feasible due to regulatory requirements. In this true hybrid scenario, we will be explaining how to move legacy apps progressively to Kubernetes in a secure and controlled manner.

March 12, 2020

Announcing Flagger 1.0

We're happy to announce the first release candidate of Flagger 1.0! Version 1.0 comes with the promise of a stable API. The canary resource is no longer alpha and the API has been extended to facilitate integrations with external monitoring systems and alerting platforms.

January 28, 2020

Automating Kubeflow Pipelines with GitOps, GitHub Actions and Weave Flagger

Learn how to automate an entire machine learning pipeline with GitOps using GitHub Actions. The tutorial makes use of the Kubeflow Automated PipeLines Engine or KALE, introduces a novel way to version trained models and describes how to progressively deliver trained models.

November 08, 2019

Machine Learning with GitOps and Progressive Delivery

Machine learning practitioners are already making extensive use of cloud native technology. Predictive, intelligent applications are pushing cloud technology forward and are the principal drivers for companies to make the move to Kubernetes in order to gain a competitive edge.

August 06, 2019

Introduction to Kubernetes Service Mesh | Weaveworks

Stefan Prodan recently delivered a talk on what a service mesh is, which ones are available and how they differ. He then described how to use a Progressive Delivery service mesh and also how to use a Kubernetes service mesh.

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