Monitoring is crucial for any developer and on call engineer. But sorting through multiple notifications or missing critical information for a quick resolution is no fun. This blog post recaps a KubeCon lightning talk that demonstrates using labels in Prometheus alertmanager to only receive concise and easy to understand notifications.
Cortex, our scalable Prometheus monitoring system, has been accepted as a Sandbox project by the Cloud Native Computing Foundation. Cortex is an open source project that we created to provide storage of Prometheus metrics for Weave Cloud. It's used by teams that are running large Prometheus environments, providing metrics for complex Kubernetes environments.
As developers, we hear a lot about the importance of monitoring and alerts. But without proper notification, we might spend too much time trying to understand what really is going on. This blog post will give you an overview of common caveats of using labels in Prometheus alerts and demonstrate some technics how to get concise and easy to understand notifications.
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.