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Udemy - Mastering Prometheus and Grafana

      Author: Baturi   |   03 October 2021   |   comments: 0



Udemy - Mastering Prometheus and Grafana
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 80 lectures (6h 25m) | Size: 1.75 GB
The most complete course for monitoring with Prometheus and Grafana


What you'll learn:
Installing Prometheus on Windows, Linux, and Mac
Pushing Metrics to Prometheus
Visualizing Metrics in Prometheus
Functions and Aggregation Operators in Prometheus
Alerting in Prometheus
Defining Data Collection Rules for Faster Data Aggregation
Securing Prometheus with HTTPS and Authenticaiton
Installing Grafana on Windows, Linux, and Mac
Using Grafana to Visualize Prometheus Metrics
Securing Grafana with OAuth and Active Directory
Requirements
Basic knowledge about IP, DNS and general networking concepts
Description
Prometheus is a free time-series database used for monitoring and alerting. It records real-time metrics (telemetry data) and generates valuable insights from that data with flexible queries.
Since Prometheus supports multidimensional data collection and queuing, it has become the number one choice for many software development teams, even on large amounts of data.
Although using Prometheus, you can collect and query the telemetry data, and it combines it with a powerful data visualization tool called Grafana. Grafana allows you to create professional-looking and complex dashboards on top of Prometheus and other time-series databases such as Graphite, SQL Server, MySQL, InfluxDB, etc.
This course is suitable for all developers, DevOps Engineers, and Solution Architects. They want to quickly learn monitoring and telemetry with the edge technologies and apply the learning at their work.
After finishing this course, you will be able to set up and configure Prometheus and Grafana on Linux, Windows, and Mac to configure metrics from Linux and Windows machines. You will also be able to send telemetry data to Prometheus using the native and third-party libraries which is useful when scraping metrics from the target resource is not possible.
Finally, you will use queries and functions to extract and retrieve complex data and display them either in Prometheus or in Grafana.
Who this course is for
DevOps Engineers
Developers
Solution Architects
Homepage
https://www.udemy.com/course/mastering-prometheus-and-grafana/


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