Craig Wright demonstrated GitOps workflows and Weave Cloud on EKS at the EKoSystem Day event held at the AWS Loft in downtown San Francisco. Weaveworks was one of 10 technical partners invited to speak at this special event that was broadcasted live on Twitch.
Not all systems can meet their SLAs by relying on CPU/memory usage metrics alone, most web and mobile backends require autoscaling based on requests per second to handle any traffic bursts. This step by step guide shows you how to set up Kubernetes Horizontal Pod Autoscaler with Prometheus defined custom metrics, to fine tune your application monitoring and ensure high availability.
Understand the importance of monitoring your microservices and infrastructure, and how to turn those metrics into meaningful data when looking to improve performance or mitigate arising problems. Discover the different methodologies, metrics and approaches to effectively monitor microservices and the recommended tools to help you.
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.
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.
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.
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.
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.
The Weave Online User Group talk given by Carter Morgan defines of what a "production-ready" cloud application looks like.
Figuring out what's causing slow requests or ops can be tricky. Tom Wilkie shares the tools he used to investigate high long tail latency.
Tom Wilkie shares Weaveworks monitoring philosophy and the three most important metrics to use in your microservices architecture.
At KubeCon Europe 2017, Weaveworks Director of Software Engineering, UI/UX, David Kaltschmidt gave a presentation titled “Grafana is Not Enough: DIY User Interfaces for Prometheus.” In this talk, he discussed the Prometheus UI.What’s...
Weaveworks Director of Software Engineering Tom Wilkie was busy at CloudNativeCon + KubeCon Europe 2017. Between showing off Cubienetes and presenting browser metrics in Prometheus, he found time to discuss one of his personal projects....
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...