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.
In a previous post we introduced the combination of Flux and the Cluster API to enable cluster management with GitOps. But what happens if you are building a large multi-cloud and/or hybrid platform?This post introduces an advanced deployment pattern for managing multiple clusters.
The entire team at Weaveworks is super excited to announce that Cornelia Davis is joining us as CTO. Read on to learn more about Cornelia’s motivations, her history in cloud computing and where she sees Weaveworks and the rest of the industry going.
Docker, Kubernetes, and containers are indeed powerful technologies that can bring many benefits to a business. But they are not necessarily the right choice for every workload. In some cases, you’re better off sticking with simple virtual machines.
At Weaveworks we have been living and breathing GitOps for a few years now. This year the Cloud Native community has really started to embrace and adopt GitOps for managing application workloads and services in Kubernetes. But what about managing the actual Kubernetes clusters themselves using GitOps?
Deploying to the cloud requires an understanding of the implications of cloud native. Even though Kubernetes and other cloud native technologies come with a learning curve, in the long run they reduce complexity not add to it. Learn the key Kubernetes concepts you need to know to get there.
Learn about the significant announcements from Weaveworks and AWS at Re:invent as well as Weaveworks and Intuit at Kubecon. We’ll also dive into the live WKP demo complete with video and commentary that we presented at the booth at both shows.
Everyone who works in tech is familiar with the benefits of migrating from on-premises data centers to the cloud. When you actually undertake a migration to the cloud, you quickly realize that achieving the advantages that the cloud offers requires some work. The cloud is complex, and navigating the available services, configurations and architectures can be tricky.
This post introduces a new feature called Profiles, which allows you to create a specific Kubernetes application platform to meet your business needs. We show how you can enable machine learning operations or MLOps with specific Profiles for two different types of Kubernetes instances - EKS and Kubernetes with Firekube.
Rajarajan Pudupatti, Cloud Platforms Architect at Fidelity Investments and Alexis Richardson, CEO of Weaveworks delivered a practical use case and explanation on how Kubernetes and GitOps was successfully implemented into a large financial organization.
Watch a recap of a panel discussion between Weaveworks Founder, Alexis, and three expert industry practitioners where they discuss using GitOps and how it fits within their CICD practises today.
If you're considering moving your IT operations to the public cloud, you should consider the basic issues, the costs, and the benefits. This post talks about cost savings and associated benefits of moving a typical in-house IT operation to the cloud.
Curious about GitHub Actions and GitOps? This step by step tutorial shows you how to use GitOps and GitHub Actions for application deployments to EKS. Learn how to set up an EKS cluster with eksctl, GitHub Actions to push the image to ECR, then deploy and commit that image tag back to GitHub with Weave Flux.
Today Weaveworks announces a partnership with Intuit to create Argo Flux, a major open source project to drive GitOps application delivery for Kubernetes via an industry-wide community. Argo Flux combines the Argo CD project led by Intuit with the Flux CD project driven by Weaveworks.
Enterprises are embracing the principle of Kubernetes, but many have not deployed it at scale. Only 10% of enterprise respondents to GigaOm research, carried out earlier this year, use the orchestrator in production and have implemented it as a platform throughout their organization.
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.
Organizations that find themselves in this new world of multiple-container platforms face a number of new challenges because of the inherent complexity of multicloud. Going the multicloud way requires a deliberate implementation strategy. Find out more in the blog.
With Kubecon only three week’s away, we’re getting excited for this year’s show. As founding members of the CNCF as well as top Kubernetes contributors, we have a full line up of informative talks, a sold-out hands-on workshop, and great booth demos.