By the end of this two-day training, you’ll be able to:
Monitoring containerized apps creates a whole new set of challenges that traditional monitoring systems struggle with. Prometheus—an open source monitoring system and time series database—features a multidimensional data model and a flexible query language and integrates monitoring aspects from client-side instrumentation to alerting.
Tamao Nakahara, Ilya Dmitrichenko, and Stefan Prodan offer an overview of Prometheus architecture and concepts and walk you through using Prometheus and PromQL. You’ll also learn how to use the open source Prometheus monitoring toolkit and integrate it with Kubernetes on an example application. You’ll leave able to use Prometheus to monitor your microservices on a Kubernetes cluster.
Monitoring microservices with Prometheus
PromQL, the Prometheus Query Language
Tamao Nakahara is head of developer experience at Weaveworks and co-organizes DevXCon. Tamao has over 20 years of DevEx, ecosystem alliances, and event experience. Previously, she was director of developer relations at New Relic, ran open source community programs at VMware and Pivotal for Cloud Foundry, Spring, Hadoop, RabbitMQ, and Redis, and helped customers with Oracle virtualization at VMware.
Ilya Dmitrichenko is a developer experience engineer at Weaveworks focused on making the adoption of microservices easier. Previously, Ilya worked at Xively, where he personally experienced the shift to a true DevOps culture. He began to focus further down the stack, becoming one of the early evangelists of and contributors to open source projects in the emerging Docker/container ecosystem.
Stefan Prodan is a developer experience engineer at Weaveworks. Previously, he was a software architect and a DevOps consultant, helping companies embrace DevOps and the SRE movement. Stefan has over 15 years of experience with software development. He enjoys programming in Go and writing about distributed systems.
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