Linux Namespaces and Go Started to Mix

The recently released Go 1.10 has addressed problems mentioned in the “Linux Namespaces and Go Don’t Mix” post. Find out what changes were made to the Go runtime system.

GitOps Part 4 - Application Delivery Compliance and Secure CICD

Part 4 of the GitOps blog series explains how you can make your continuous delivery pipeline more secure using 3 best practices which enables auditing and compliance. This is aimed at Kubernetes users who have adopted Continuous Integration (CI) and who want to add Continuous Deployment (CD) to their pipeline.

Keeping Helm changes consistent and reliable with Weave Flux

While Helm helps with getting applications running, you need other tooling to keep them up to date when something changes. Check out our alpha release of our Helm integration in Weave Flux. It makes sure your Helm chart releases are kept up to date with what’s in Git. You can try it out using the published repository in Github.

Promote Container Images across Environments with Weave Cloud: Deploy

Weave Cloud Deploy is a Continuous Deployment/Delivery operator for Kubernetes which makes it super easy to automate releases to a cluster - but what about multiple clusters? Weave Cloud Deploy can filter tags - by tagging each image with an environment specific prefix, it’s possible for the same image build to be automatically released to each environment in turn.

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.

Multi-Cloud Big Data Processing with Flink, Docker Swarm and Weave Plugin

This post shows step by step how to set up a multi-cloud environment for big data processing using Apache Flink, Docker Swarm and the new Weave Net Docker plugin.

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.

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.

A Practical Guide: From Instrumenting Code to Specifying Alerts with the RED Method

This practical guide will help you getting started with monitoring your microservices with Prometheus. We walk through selecting key metrics, instrumentation, setting up alerts and Grafana dashboards.

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.

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.

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.

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.

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.