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Monitoring is Centric to Cloud Computing and DevOps. This video on Monitoring With Prometheus and Grafana will show you how monitoring is implemented using these two tools in detail.

Behind the trends of cloud-native architectures and microservices lies a technical complexity, a paradigm shift, and a rugged learning curve. This complexity manifests itself in the design, deployment, and security, as well as everything that concerns the monitoring and observability of applications running in distributed systems. Fortunately, there are tools to help developers overcome these obstacles. At the observability level, for example, tools such as Prometheus and Grafana provide enormous help to the developers' community.

Prometheus, a system and service monitoring system, collects metrics from pre-defined targets via a pull model. Targets can be found by Service Discovery or manually configured to pull data from endpoints of your application like an API server, Redis server, or SQL server.

Grafana supports lots of data sources such as CloudWatch, Stackdriver, Elasticsearch, and sure, Prometheus. After connecting Grafana with the data sources, you could create a dashboard and panel manually, or import various dashboards shared on the offical website. This tutorial will help you to understand these two concepts that are Prometheus and Grafana and explain how monitoring can be done using them.

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The following pointers will be covered in this video:
00:00:00 Introduction
00:01:49 What is Prometheus?
00:10:34 What is Grafana?
00:15:13 Monitoring With Prometheus and Grafana

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