Building a high velocity team with Kubernetes
Professional Services for Kubernetes
Container orchestration is one cornerstone for modernizing traditional applications. Kubernetes’ orchestration and management capabilities are required to deploy production-grade workloads at scale. Start building a high velocity team today and reap the benefits of faster application development and delivery with Kubernetes.Explore Kubernetes Quickstart
Unlock Developer Productivity and Operational Efficiency
At Weaveworks we want to give developers and DevOps teams the tools, skills and knowledge they need to successfully develop and operate cloud native applications. Our team are experts in Docker, Kubernetes, microservices and distributed systems. We’ll work with you to make sure the right solution is delivered, one that will help your teams software faster, more efficiently and at scale. We’ll be with you each step along the way as you assess, pilot and operate your Kubernetes infrastructure.
Meet some of our Customer Success team members
GitOps Discovery, Design and Deploy
This is a comprehensive discovery, design and deploy package for Kubernetes. Learn the practical techniques to reliably operate your software lifecycle with the GitOps pattern. Our CRE team will be with you every step of the way.
The QuickStart is a comprehensive package to design, build and operate Kubernetes in production using the GitOps methodology. Download the overview below.
Cloud Native Architecture Consulting & Design
Together we build a roadmap to deploying and piloting Kubernetes with your requirements. Included are an architecture assessment and design consultation for business critical applications.
Weaveworks is an AWS advanced technology partner. The EKS + GitOps QuickStart is a all encompassing package to design, build and operate EKS in production using the GitOps methodology.
We turned to Weaveworks because of their extensive EKS and Kubernetes experience, including their close partnership with AWS. With Weaveworks’ proven track record of running Kubernetes in production, we wanted to bring new thinking into our organization to accelerate our learnings.