Скачать с ютуб Prometheus Grafana dashboard for Kubernetes monitoring - Part 2 в хорошем качестве

Prometheus Grafana dashboard for Kubernetes monitoring - Part 2

▬▬▬▬▬▬ ⭐️ Instruction's Guides ⭐️ ▬▬▬▬▬▬ How to setup Prometheus, Grafana dashboard for Kubernetes monitoring on AWS? - https://jhooq.com/prometheous-k8s-aws... Prometheus and Grafana are the two popular open-source tools for collecting and visualizing performance metrics. In this blog post, we are going to set up the Kubernetes cluster on AWS, later we are gonna set up the Prometheus server for collecting the performance metrics and Grafana. Prometheus and Grafana are always a great combination when it comes to measuring the site reliability index. SREs (Software Reliability Engineers) heavily rely on Prometheus and Grafana because apart from collecting performance metrics, you can also set up some alerts, live views, and custom dashboards. At the end of the session, you will have the Kubernetes cluster running on AWS and Prometheus, a Grafana dashboard for monitoring the Kubernetes cluster. Here are the key points that we will touch upon - 1. Install AWS CLI and eksctl 2. Setup AWS Credentials 3. Install kubectl 4. Install Helm chart 5. Create Kubernetes cluster in AWS using eksctl 6. Install Kubernetes Metrics Server 7. Install Prometheus 8. Install grafana 9. Import Grafana dashboard from Grafana Labs 10. Deploy a spring boot microservice and monitor it on Grafana ▬▬▬▬▬▬ ⭐️ 🕘Timestamps ⭐️ ▬▬▬▬▬▬ 0:52 Install AWS CLI, eksctl and Setup AWS Credentials 8:06 Install kubectl 9:12 Install Helm chart 10:27 Create Kubernetes cluster in AWS using eksctl 15:40 Install Kubernetes Metrics Server 17:54 Install Prometheus 23:09 install grafana 29:42 Import Grafana dashboard from Grafana Labs 33:05 Deploy a spring boot microservice and monitor it on Grafana To learn more on DevOps visit - https://jhooq.com/ For more official documentation refer to - https://grafana.com/docs/grafana-clou... Disclaimer/Policy: All the content/instructions are solely mine. The source is completely open-source. Video is copyrighted and can not be re-distributed on any platform. #prometheus #grafana #kubernetes #cloud #devops