Mastering Prometheus and Grafana (Including Loki Alloy)

Mastering Prometheus and Grafana (Including Loki & Alloy), available at $49.99, has an average rating of 4.57, with 115 lectures, based on 382 reviews, and has 3023 subscribers.

You will learn about 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 Grafana Loki (Installationa & Use) to Collect and Analyse Logs This course is ideal for individuals who are DevOps Engineers or Developers or Solution Architects It is particularly useful for DevOps Engineers or Developers or Solution Architects.

Enroll now: Mastering Prometheus and Grafana (Including Loki & Alloy)

Summary

Title: Mastering Prometheus and Grafana (Including Loki & Alloy)

Price: $49.99

Average Rating: 4.57

Number of Lectures: 115

Number of Published Lectures: 115

Number of Curriculum Items: 115

Number of Published Curriculum Objects: 115

Original Price: A$32.99

Quality Status: approved

Status: Live

What You Will 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

Grafana Loki (Installationa & Use) to Collect and Analyse Logs

Who Should Attend

DevOps Engineers

Developers

Solution Architects

Target Audiences

DevOps Engineers

Developers

Solution Architects

Are you looking for a Prometheus tutorial to teach you metric collection and monitoring using Prometheus and Grafana? Look no further!

Prometheus is a free, powerful time-series database that monitors microservices and infrastructure (e.g., Kubernetes). Its flexible query language, PromQL, lets you record real-time metrics and generate valuable insights.

This course is tailored for developers, DevOps Engineers, and Solution Architects who want to learn Prometheus and Grafana’s observability stack and apply it to their work.

You’ll learn how to set up and configure Prometheus, Grafana, and Grafana Loki on Linux, Windows, and Mac, as well as with Docker. This powerful stack will enable you to collect metrics and logs and visualise them with professional-looking dashboards in Grafana.

Prometheus is thoroughly explored in this course and covers Functions, Alerting, Recording Rules, Short-lived Jobs, Push Gateway, and Security. 

Grafana is also adequately covered with lectures that teach you how to install Grafana, create dashboards, create alerting rules, notify management, and administer Grafana.

Metrics are not the only signal that matters in the realm of observability. Logs play a crucial role in identifying and, more importantly, diagnosing the root cause of the problems.  That is why the course has a section specifically for Grafana Loki, Grafana Lab’s log collection and analysis tool.

This course is continuously updated to make sure you will stay up-to-date with latest changes and additions of Grafana and Prometheus.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Telemetry

Lecture 2: Prometheus and Grafana at a Glance

Chapter 2: Installing and Setting Up Prometheus

Lecture 1: Installing Prometheus on Windows

Lecture 2: Installing Prometheus on Mac

Lecture 3: Installing Prometheus on Ubuntu

Chapter 3: Collecting Metrics from Unix, Linux and Mac

Lecture 1: Overview of Scraping and Push Gateway

Lecture 2: Node Exporter Part 1

Lecture 3: Node Exporter Part 2

Lecture 4: Node Exporter Part 3

Lecture 5: Running Node Exporter as a Service on Ubuntu

Lecture 6: Installind Node Exporter on Mac with Home Brew

Chapter 4: Collecting Metrics from Windows

Lecture 1: Collecting Metrics with WMI Exporter

Chapter 5: Retrieving Metrics

Lecture 1: Data Model of Prometheus

Lecture 2: Data Types in Prometheus

Lecture 3: Binary Arithmatic Operators in Prometheus

Lecture 4: Binary Comparison Operators in Prometheus

Lecture 5: Set Binary Operators in Prometheus

Lecture 6: Matchers and Selectors in Prometheus

Lecture 7: Aggregation Operators

Lecture 8: Time Offsets

Chapter 6: Functions in Prometheus

Lecture 1: Clamping and Checking Functions

Lecture 2: Delta and iDelta

Lecture 3: Sorting and TimeStamp

Lecture 4: Aggregations Over Time

Chapter 7: Alerting

Lecture 1: Alerts overview

Lecture 2: Defining Alert Rules

Lecture 3: Defining a Time Threshold

Lecture 4: Labels, Annotations, and Templates

Lecture 5: What is Alert Manager?

Lecture 6: Installing Alert Manager on Windows

Lecture 7: Installing Alert Manager on Mac Computers

Lecture 8: Installing Alert Manager on Ubuntu

Lecture 9: Receivers in Alert Manager

Lecture 10: Routes in Alert Manager

Lecture 11: Integrating Alert Manager with Slack

Lecture 12: Integrating Alert Manager with PagerDuty

Lecture 13: Inhibiting and Silencing Notifications

Chapter 8: Recording Rules in Prometheus

Lecture 1: Introduction to Recording Rules

Lecture 2: Writing a recording rule with rate function

Chapter 9: Client Libraries of Prometheus and Short-lived Jobs

Lecture 1: Introduction to Client Libraries

Lecture 2: Using the Python client library – the Summary metric

Lecture 3: Using the Python client library – Counters and Gauges

Lecture 4: Using the Python client library – Labels

Lecture 5: Using the Java client library

Lecture 6: Using the .NET (dotnet) client library – Part 1

Lecture 7: Using the .NET (dotnet) client library – Part 2 – Labels

Lecture 8: Using the .NET (dotnet) client library in ASP.NET Core

Chapter 10: Introduction to Service Discovery and Push Gateway

Lecture 1: Introduction to Service Discovery and Push Gateway

Chapter 11: Service Discovery

Lecture 1: Service Discovery Options in Prometheus

Lecture 2: Service Discovery in AWS (EC2 and LightSail) – Part 1

Lecture 3: Service Discovery in AWS – Example and Case Study

Lecture 4: File-based Service Discovery

Chapter 12: The Push Gateway

Lecture 1: Installing PushGateway on Windows and Mac

Lecture 2: Installing PushGateway on Ubuntu (Linux)

Lecture 3: Sending Metrics to PushGateway with Python

Lecture 4: Sending Metrics to PushGateway with Java

Lecture 5: Sending Metrics to PushGateway with Dotnet

Chapter 13: Security in Prometheus

Lecture 1: Introduction to Authentication Methods in Prometheus

Lecture 2: Basic Authentication in Prometheus

Lecture 3: Enabling HTTPS for Improved Security

Lecture 4: Enabling HTTPS on Exporters i.e. Node Exporter

Lecture 5: Securying PushGateway

Lecture 6: Connecting to Push Gateway Securely

Lecture 7: Securing Alert Manager

Chapter 14: Grafana Installation and Introduction

Lecture 1: What is Grafana?

Lecture 2: Cloud or On-Premises?

Lecture 3: Installing Grafana on Windows

Lecture 4: Installing Grafana on Mac with Homebrew

Lecture 5: Installing Grafana on Ubuntu

Lecture 6: Installing Grafana on Amazon Linux, Red Hat, CentOS, RHEL, and Fedora

Lecture 7: Installing Grafana (and Prometheus & Loki) with Docker

Lecture 8: Configuring Grafana

Chapter 15: Using Grafana – Connecting and Creating Dashboards

Lecture 1: Dashboard Design Best Practices

Lecture 2: The ShoeHub Global Company!

Lecture 3: Connect Grafana to Prometheus

Lecture 4: Creating and Managing Dashboards

Lecture 5: Creating Your First Panel : The Time Series Panel

Lecture 6: Multiple and Accumulative Queries

Lecture 7: Exercise: Display Country Data On A Graph Panel

Lecture 8: Data Transformations

Lecture 9: Visually Comparing Values with Pie Charts

Lecture 10: Comparing Metric Data of Two Different Times (Time Shift)

Lecture 11: Practice : Working with Charts and Thresholds

Lecture 12: Thresholds in Grafana

Lecture 13: Variables and Dynamic Dashboards

Instructors

Aref Karimi
Technology Leader and Evangalist

Rating Distribution

1 stars: 3 votes

2 stars: 9 votes

3 stars: 36 votes

4 stars: 122 votes

5 stars: 212 votes

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