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.

Running OpenFaaS on GKE - a step by step guide

In this tutorial you will learn how to set-up OpenFaaS on Kubernetes with monitoring and alerting using Weave Cloud. Using OpenFaaS for serverless avoids being locked-in to one of the cloud vendors. It's easy to run in Kubernetes, letting you mix different services depending on your applications needs.

Troubleshooting a TensorFlow Predictive Model Microservice with Weave Cloud

Weave Cloud works alongside machine learning platforms such as Seldon’s. In this tutorial you will deploy a predictive service that recognizes drawn numbers from 0 to 9.

Time Travel has arrived!

Troubleshoot your app with the new Time Travel feature. All Weave Cloud Explore views: Processes, Containers, Orchestrators and Hosts allow you to travel back in time to view an in situ state of your app that can be compared with its live state.

User-centric Alerting

If something goes wrong in production, you want to immediately know the user impact. With that in mind, we created an automated alerting schema based on user-visible symptoms.

How to Supercharge Your Kubernetes Cluster with Rancher & Weave Cloud

This tutorial shows you how to deploy and manage Kubernetes with Rancher. You will then use Weave Cloud to complete the development lifecycle, and Deploy, Explore and Monitor your app as it runs in Kubernetes.

Demystifying Production-Ready Apps on Kubernetes with Carter Morgan

The Weave Online User Group talk given by Carter Morgan defines of what a "production-ready" cloud application looks like.

Understand Istio with Weave Cloud

In the Weave Cloud and Istio tutorial, we show you how to configure Istio for microservices and how to use Weave Cloud to explore and monitor the traffic flow between the microservices as it runs in the service mesh.

Adding a Service to Weave Cloud and Other Best Practices

Learn how to add a service to Weave Cloud – from naming and organization to security and monitoring, Tom Wilkie shares best practices and lessons learned.

Weave Cloud UI Alerts and Metrics

After a particularly egregious outage was reported by a Weave Cloud user, we decided it would be a good idea to add some alerting to our front-end codebase. Alerting and metrics for Weave Cloud are handled using Prometheus, however, which...

Microservices on Amazon ECS with Abby Fuller (AWS) & Mike Lang (Weaveworks) Part 2

At the March 28, 2017 Weave Online User Group, Abby Fuller presented on Amazon ECS, find the part 1 recap here. Her comments on ECS best practices are summarized below. Following her talk, Mike Lang of Weaveworks described Weave Cloud’s...

Weave Cloud Outage 28th Feb Post-Mortem

Weave Cloud is our service for deploying, exploring, and monitoring microservice-based applications. At 17:37 GMT on 28th Feb, Weave Cloud suffered an outage for over 4 hours. The expectation of availablilty on a service like Weave Cloud...