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.

Architecture Overview: Cluster Monitoring at Scale on AWS

Watch this short architecture overview video to learn how Weaveworks monitors clusters at scale using a highly available, multi-tenant system built on AWS services.

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.

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.

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.

Swarmprom - Prometheus Monitoring for Docker Swarm

In this post we will be discussing how to set up application and infrastructure monitoring for Docker Swarm with the help of Prometheus. Swarmprom is a starter kit for Docker Swarm monitoring with Prometheus, Grafana, cAdvisor, Node Exporter, Alert Manager, and Unsee.

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.

Kubernetes and Weave Cloud: Part 1 - Configuring Continuous Delivery

Step by step instructions on how you can achieve automated continuous delivery to a Kubernetes cluster using Weave Cloud Deploy. We will cover configuring automated builds, immutable container images, deploying new container images and automating deployments.

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.

Speeding Up Your Software Development with Canonical & Weave Cloud

Canonical's conjure-up makes it easy to deploy and operate Kubernetes in production, using a neat, easy-to-use CLI installer. Weave Cloud fills in the gaps missing with a Kubernetes install and provides the tools necessary for a full development lifecycle.

My Slow Internet vs. Docker

Downloading and running Docker containers when you’re on the road can be challenging. Ray Tsang shows us how build a Docker host on Google Cloud with Docker Engine.

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.

Container Security with Dan Walsh

There are several factors to consider when securing containerized applications. Where containers are deployed, how they are isolated and which capabilities to disable are important steps to take to ensure that your dockerized applications are secure.

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.

Making billions with Kubernetes and Weave Cloud: Deploying your app for the first time

The world has been patiently waiting for the launch of Stringly™, a platform for distributing highly optimized strings that is sure to disrupt the global string market. The VC checks have cleared and its time to give the people what they...

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.

The RED Method: key metrics for microservices architecture

Tom Wilkie shares Weaveworks monitoring philosophy and the three most important metrics to use in your microservices architecture.

Why use remote disk volumes?

I was browsing Twitter, and came across a question from Kelly Sommers, @kellabyte: OK, so that’s a good question. You can put a really fast SSD on a really fast bus inside your server box; why would you do anything different? Well, let’s...

PromQL queries for the rest of us

Prometheus comes with its own query language called PromQL. It’s very powerful and easily allows you to filter with the multi-dimensional time-series labels that make Prometheus so great. But it can be daunting when you are faced with an...