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.