Weaveworks utilizes Kubernetes on AWS to achieve greater development velocity for a cloud native application to gain control and operational efficiencies. Read up on some of our best practices.
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.
Hear from Weaveworks contractor Lucas Käldström on how far kubeadm has come, where it’s going, and how you can get involved.
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.
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.
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.
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.
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 Weaveworks team visited PromCon 2017 in Munich. One of our personal highlights was a deep dive into the past 12 months of Cortex, the basis of our monitoring and analytics capabilities in Weave Cloud.
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.
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.
Monitoring distributed applications is best approached using a combination of tools. Luke Marsden describes how Prometheus, openTracing and Weave Cloud visualization cover the bases to establish root cause of problems in distributed applications.
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.