Prometheus | The Complete Hands-On for Monitoring & Alerting

Prometheus | The Complete Hands-On for Monitoring & Alerting, available at $84.99, has an average rating of 4.52, with 102 lectures, 3 quizzes, based on 3241 reviews, and has 33779 subscribers.

You will learn about Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch. Start with the implementation of Prometheus core concepts – Architecture, Installation, PromQL, Exporters, Functions, Operators, etc. ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation. Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries. Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus. Pushgateway, Service Discovery, Recording Rules, Routing Trees, Create Custom Exporter, HTTP API, and many more… Monitor the Amazon Cloud (AWS) with Prometheus. Integration with many Alert Notifiers – Gmail, PagerDuty, Slack. Build value added dashboards with GRAFANA Codes and Resources are available in resources tab. This will save your typing efforts. This course is ideal for individuals who are Experienced techies who want to add a hot & demanding technology in their technology stack. or DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system. It is particularly useful for Experienced techies who want to add a hot & demanding technology in their technology stack. or DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.

Enroll now: Prometheus | The Complete Hands-On for Monitoring & Alerting

Summary

Title: Prometheus | The Complete Hands-On for Monitoring & Alerting

Price: $84.99

Average Rating: 4.52

Number of Lectures: 102

Number of Quizzes: 3

Number of Published Lectures: 102

Number of Published Quizzes: 3

Number of Curriculum Items: 108

Number of Published Curriculum Objects: 108

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Full In & Out of Prometheus toolkit with proper HANDS-ON examples from scratch.
Start with the implementation of Prometheus core concepts – Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
ADVANCE Prometheus concepts, the explanation to which is not very clear even in Prometheus' Official Documentation.
Instrument Python & Go web applications to expose Prometheus metrics with Client Libraries.
Implement the Monitoring & Alerting Design of Real-Time case studies using Prometheus.
Pushgateway, Service Discovery, Recording Rules, Routing Trees, Create Custom Exporter, HTTP API, and many more…
Monitor the Amazon Cloud (AWS) with Prometheus.
Integration with many Alert Notifiers – Gmail, PagerDuty, Slack.
Build value added dashboards with GRAFANA
Codes and Resources are available in resources tab. This will save your typing efforts.

Who Should Attend

Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.

Target Audiences

Experienced techies who want to add a hot & demanding technology in their technology stack.
DevOps Engineers who want to switch their career from conventional monitoring tools to a full-fledged monitoring system.

“Prometheus is an open source tool used for event monitoring and alerting.”

Prometheus has changed the way of monitoring systems and that is why it has become the Top-level project of Cloud Native Computing Foundation (CNCF).

What’s included in the course ?

Complete Prometheus concepts explained from Scratch to ADVANCE with Real-Time implementation.
Each and every Prometheus concept is explained with HANDS-ON examples.
Includes each and every, even thin detail of Prometheus.
For every concept, first, we will cover its theoretical stuff, followed by their running example.
Include even those concepts, the explanation to which is not very clear even in Prometheus’ Official Documentation.

Technicalities
- Many (official & 3rd party) exporters.
- In-and-out of Functions, Operators, Clauses, etc, in Prometheus Query Language (PromQL).
- Instrument the Python or Go applications to expose custom metrics with Client Libraries.
- Dynamically add or remove scrape targets using Service Discovery.
- Recording Rules.
- Monitor the Amazon Cloud (AWS) with Prometheus.
- Creating an end to end Routing Tree for Alerting systems.
- *Exclusive*– Create your own Custom Exporter
- Integration with many Alert Notifiers – Gmail, PagerDuty, Slack.
- How to scrape from batch jobs using Pushgateway.
- Build monitoring & alerting design pattern of a Real-Time case study using Prometheus.
- Build value added dashboards with GRAFANA.
- Learn Best practices / Do’s & Dont’s to follow while monitoring in Real-Time DevOps Projects.
After completing this course, you can start working on any Prometheus project with full confidence.

Add-Ons

Questions and Queries will be answered very quickly.
Prometheus codes and other resources used in lectures are attached in the course for your convenience.
I am going to update it frequently, every time adding new components of Prometheus.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Prometheus

Lecture 2: Alternate Monitoring Tools

Lecture 3: Basic Terminologies in Prometheus

Chapter 2: Architecture of Prometheus Server

Lecture 1: Architecture of Prometheus

Lecture 2: How Prometheus Works behind the scenes (Life Cycle)

Chapter 3: Installation and UI Tour

Lecture 1: Virtual Machine Installation

Lecture 2: Prometheus Installation

Lecture 3: First Look of Prometheus UI

Lecture 4: Understanding Prometheus Configuration File

Lecture 5: Prometheus First Run

Chapter 4: Exporters – Set 1

Lecture 1: What are Exporters?

Lecture 2: Node Exporter – Monitoring Linux Systems

Lecture 3: WMI Exporter – Monitoring Windows Systems

Chapter 5: PromQL – Prometheus Query Language

Lecture 1: Data Types in PromQL

Lecture 2: Selectors & Matchers

Lecture 3: Binary Operators

Lecture 4: 'ignoring' and 'on' keywords

Lecture 5: Aggregation Operators

Lecture 6: Functions – 'rate' & 'irate'

Lecture 7: Functions – changes, deriv, predict_linear

Lecture 8: Functions continued

Chapter 6: Client Libraries – Adding Instrumentation to Python Application

Lecture 1: What are Client Libraries and Metric Types

Lecture 2: Python app Boilerplate Code

Lecture 3: Exposing Metrics from Python app using Prometheus Client

Lecture 4: Counter Metrics Exposition

Lecture 5: Adding Labels to Exposed Metrics

Lecture 6: Gauge Metrics Exposition

Lecture 7: Summary Metrics Exposition

Lecture 8: Histogram Metrics Exposition

Chapter 7: Client Libraries – Instrumenting GO Applications

Lecture 1: GO app Boilerplate Code

Lecture 2: Counter Metrics Exposition

Lecture 3: Gauge Metrics Exposition

Lecture 4: Summary Metrics Exposition

Lecture 5: Histogram Metrics Exposition

Chapter 8: Quantification of Instrumentation

Lecture 1: What to Instrument?

Lecture 2: How much to Instrument?

Chapter 9: Recording Rules

Lecture 1: What are Recording Rules?

Lecture 2: Reload Prometheus Configurations on-the-fly

Lecture 3: Writing Recording Rules

Lecture 4: Writing Recording Rules continued

Lecture 5: Add Multiple Rules

Lecture 6: Best Practices for Recording Rules

Chapter 10: Alerting

Lecture 1: What is Alerting?

Lecture 2: Writing & Firing the first Alert

Lecture 3: 'for' clause

Lecture 4: Adding Labels to Alerts

Lecture 5: Installing Alertmanager

Lecture 6: Adding Alert Notifier – Gmail

Lecture 7: Sending Alert Notifications – Gmail

Lecture 8: Templating the Alerts

Chapter 11: Create Routing Tree for Alerts – Case Study

Lecture 1: Case Study – Problem Statement

Lecture 2: Understanding the Use Case for Routing Tree

Lecture 3: Write Alerting Rules for the Use Case

Lecture 4: Coding the Routing Tree – Part 1

Lecture 5: Coding the Routing Tree – Part 2

Lecture 6: Coding the Routing Tree – Part 3

Lecture 7: Run the Routing Tree

Lecture 8: Grouping the Alerts

Lecture 9: Throttling the Alerts

Lecture 10: Inhibiting the Alerts

Lecture 11: Silencing the Alerts

Lecture 12: 'continue' clause

Chapter 12: PagerDuty & Slack – Alert Notifiers

Lecture 1: Slack integration with Prometheus

Lecture 2: PagerDuty integration with Prometheus

Chapter 13: Blackbox Exporter & Relabeling

Lecture 1: What is Blackbox exporter

Lecture 2: Download Blackbox exporter

Lecture 3: 'http' probe module

Lecture 4: 'tcp' & 'icmp' probe module

Lecture 5: 'dns' probe module

Lecture 6: Scraping targets via Blackbox

Lecture 7: Relabelling

Chapter 14: Pushgateway

Lecture 1: Introduction to Pushgateway

Lecture 2: Getting Started with Pushgateway

Lecture 3: Push metrics to Pushgateway

Lecture 4: Automate Pushing metrics using Cron job

Lecture 5: Python App pushing metrics to Pushgateway

Lecture 6: Pushgateway Pitfalls

Chapter 15: Service Discovery

Lecture 1: Introduction to Service Discovery

Lecture 2: Static Service Discovery

Lecture 3: File-based Service Discovery

Instructors

A to Z Mentors
Online Instructors

Rating Distribution

1 stars: 34 votes
2 stars: 53 votes
3 stars: 315 votes
4 stars: 1135 votes
5 stars: 1704 votes

Frequently Asked Questions

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