Continuous Delivery to Kubernetes for Machine Learning with Michelle Casbon (Qordoba)

See how Qordoba doubled their productivity by using Weave Cloud for Continuous Delivery to deploy machine learning models to Kubernetes.

Automating continuous delivery with Kubernetes, Google Cloud and Git

Discover how to achieve an automated continuous delivery with Kubernetes, Google Cloud Platform and Weave Cloud multiple time a day. Discover the role, observability and metric monitoring play for determining whether you’re progressing once you’ve increased your speed of deployment.

GitOps: High velocity CICD for Kubernetes

This blog post explains techniques for development teams who strive for high velocity continuous delivery using Kubernetes and Docker. When we say “high velocity” we mean that every product team can safely ship updates many times a day — deploy instantly, observe the results in real time, and use this feedback to roll forward or back. The goal is for product teams to use continuous experimentation to improve the customer experience as fast as possible.

GitOps - modern best practices for high velocity application development

A “you build it, you own it” development process requires tools that developers know and understand. “GitOps” is our name for how we describe modern best practices for high velocity application development with cloud native tools. Read this summary post about the GitOps pipeline model, why its beneficial to adopt this methodology and how to get started.

Make Machine Learning on Kubernetes portable and observable with Kubeflow and Weave Cloud

This step by step tutorial shows how to set up Kubeflow, a tool that simplifies set up of a portable Machine Learning stack and Weave Cloud on the Google Cloud Platform. Kubeflow users will then be able to use Weave Cloud to observe and monitor the stack, including metrics for resource management.

Free tier of Weave Cloud on Google Cloud Platform

We've partnered with the Google team to create a simple set-up process that makes it easy to experience the power of Kubernetes (GKE) with Weave Cloud’s management capabilities. If you're exploring Kubernetes and want a completely integrated CI/CD pipeline with observability and monitoring then this gives you everything you need.

Storing Secure Sealed Secrets using GitOps

Sealed Secrets is a Kubernetes Custom Resource Definition Controller which allows you to store even sensitive information (aka secrets) in Git, which previously has not been an option. In addition, you can use Weave Cloud’s Deploy feature in conjunction with Sealed Secrets to create a continuous deployment pipeline where all operations are git based and where the desired state of your apps is declared in your git repos including your secrets.

Flux 1.1 release (deploy all the things!)

The Flux 1.1. release allows to automate updates to DaemonSets, StatefulSets and CronJobs in addition to Deployments. Now you can automate releases of application components in most of your infrastrcture.

DevOps: The Next Evolution - GitOps

The role of the developer has changed. Catch up on the discussion between Forrester and Weaveworks' CEO Alexis Richardson on current trends in CICD and how they’re converging with ops and monitoring.

GitOps Part 3 - Observability

Observability can be seen as part of the Continuous Delivery cycle for Kubernetes. Observed state must be compared with the desired state in Git.  The role of a GitOps dashboard is to enable observation and speed up understanding and validation of the system, and suggest mitigating actions. Monitoring alone does not answer all questions: metrics are symptoms but not the disease.

TensorFlow, Machine Learning and Weave Cloud

This article discusses how InstaDeeps Reinforcement platform can save you time and resources through their visual approach to neural net optimization.

Continuous Delivery the Hard Way

Learn why you need Continuous Delivery and how we evolved Weave Cloud to achieve Continuous Delivery with the tools you already have, like Jenkins, Circle CI and with any container registry like DockerHub, Quay or even with a private registry.

The GitOps Pipeline - Part 2

GitOps relies on your whole system to be expressed declaratively. The GitOps pipeline model places Git at the design centre - everything upstream of deployment is anchored by Git. As a result a developer can update some code in GitHub and release into production as a pull request.

​GitOps - Operations by Pull Request

Alexis Richardson is defining “GitOps” as a methodology for developer tooling to drive operations. This post discussed the use of declarative tools and best practices of configurations being code and therefore should be versions controlled.

Continuous Delivery vs. Continuous Integration: What's the Difference?

Continuous delivery vs. continuous integration vs. continuous deployment. Do you know what the differences are? Our blog clears it up for you.

Best Practices for Continuous Delivery

Continuous delivery is one of those software development buzzwords that you may have heard before but aren’t really sure what it means to you. As with many buzzwords, however, behind the term is often a great idea that can produce massive...