Udemy – Observability with Grafana, Prometheus, Loki, Alloy and Tempo 2024-5 – Download

Description

Observability course with Grafana Prometheus Loki Alloy and Tempo. Are you looking to improve your observability knowledge with Grafana Stack? This comprehensive training course will introduce you to the key components of this collection, including Grafana Loki, Grafana Alloy and Grafana Tempo.

• This course is based on the fictional online company ShoeHub, which sells shoes in several countries. As such, the course includes code and accompanying software provided on GitHub and covers the following:
  • Generating dummy data for ShoeHub
  • Docker build files for custom Grafana images
  • Docker Create files to run Grafana, Prometheus, Loki and Tempo simultaneously.
  • Python script for generating (fake) logs for Grafana Loki
  • Installation steps for Ubuntu and Amazon Linux
  • Microservice (C# and Python) with special Opentelemetry tools.
  • Linux shell scripts for deploying Grafana Ali
• The course was first published in 2018 and has been continually updated and revised since then. To keep your knowledge up to date, receive periodic educational messages about updates and additions.

What you will learn:

• Monitoring Basics: You’ll learn about telemetry data types, metrics collection methods, and key monitoring concepts.
• Prometheus: You will take a complete course on Prometheus which includes installation, configuration and professional use of this tool and its powerful features such as Prometheus features.
• Installing Grafana: You will learn different ways to install Grafana on Windows, Mac, Linux (different versions) and also using Docker.
• Professional Dashboard Design: Learn best practices for designing dashboards for web applications, server applications, microservices, and infrastructure. Next, you’ll learn how to create dashboards and graphs in Grafana using the powerful features of Prometheus. The course also includes instructions on integration with MySQL, SQL Server, Amazon CloudWatch and Google Cloud Platform (GCP).
• Create alerts and notifications. After querying the data and displaying it in Grafana, you need to create alert rules and send notifications when those rules are violated. This course will teach you how to create alerts and send notifications to relevant channels like Slack for proactive monitoring.
• Grafana Loki: Part of the course is dedicated to Grafana Loki, the log collection and display software that is essential for any monitoring platform.
• Opentelemetry and Grafana Alloy (Grafana Alloy). In this section, you will learn about Opentelemetry (OTel), Opentelemetry Protocol (OTLP) and Grafana Alloy. You will work with a microservice that generates and exports Otel signals (for example, for benchmarking and tracking) using Opentelemetry SDKs. The Organic Grafana section of this course introduces you to the newest member of the Grafana toolkit, which plays an important role in collecting, processing and sending Opentelemetry signals.
• Opentelemetry Tracing and Grafana Tempo (Grafana Tempo): After learning Grafana Ali and Opentelemetry, you will be introduced to Opentelemetry Tracing and Grafana Tempo, Grafana Labs’ solution for displaying Opentelemetry traces.

Who is this course suitable for?

• DevOps engineers
• Developers
• solution architects

Observability with Grafana Prometheus Loki Alloy and Tempo

• Publisher: Udemy
• Lecturer: Aref Karimi
• Level of training: from beginner to advanced
• Training duration: 6 hours 2 minutes
• Number of courses: 97

Contents

Observation with Grafana Prometheus Loki Alloy and Tempo course prerequisites

• A computer running Windows, Mac or Linux with administrative access.
• Docker Desktop (installation instructions included in the course)
• GitHub desktop
• Basic knowledge of computers, information technology and networks.

course images

Example video course

Download link

Download part 1 – 1 GB

Download Part 2 – 569 MB

Password for file(s): www.downloadly.ir

size

1.5 GB