Description
Observability course with Grafana Prometheus Loki Alloy and Tempo. Are you looking to improve your observability knowledge level using the 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 a fictional online company called ShoeHub that sells shoes in several countries. Therefore, the course includes code and accompanying software provided on GitHub and covers the following:
- Generating dummy data for ShoeHub
- Docker build files for Grafana custom images
- Docker Compose files to run Grafana, Prometheus, Loki and Tempo simultaneously
- Python script to generate logs (fake) for Grafana Loki
- Installation steps for Ubuntu and Amazon Linux
- Microservice (C# and Python) with custom Opentelemetry Instrumentation
- Linux shell scripts to deploy Grafana Ali
- The course was first published in 2018 and has been continuously updated and revised since then. To keep your knowledge up-to-date, periodic educational communications about updates and additions
What you will learn:
- Monitorability Basics: You will learn about telemetry data types, metric collection methods, and key monitorability 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 functions.
- 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, backend applications, microservices, and infrastructure. Then you will learn how to create dashboards and graphs in Grafana using the powerful functions of Prometheus. The course also includes instructions for integrating with MySQL, SQL Server, Amazon CloudWatch, and Google Cloud Platform (GCP).
- Creating alerts and notifications: After querying the data and displaying them on Grafana, you need to create alert rules and send notifications when these rules are violated. This course teaches you how to create alerts and send notifications to appropriate channels such as Slack for proactive monitoring.
- Grafana Loki: Part of the course is dedicated to Grafana Loki, a 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 (such as benchmarking and tracking) using the 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 get to know Opentelemetry tracing and Grafana Tempo, Grafana Labs’ solution for displaying Opentelemetry traces.
Who is this course suitable for?
- DevOps Engineers
- Developers
- Solution architects
Specifications of the course Observability with Grafana Prometheus Loki Alloy and Tempo
- Publisher: Udemy
- teacher: Aref Karimi
- Training level: beginner to advanced
- Training duration: 7 hours and 40 minutes
- Number of courses: 83
Course headings on 4/2024
Observability with Grafana Prometheus Loki Alloy and Tempo course prerequisites
- A Windows, Mac or Linux computer with administrative access.
- Docker Desktop (Installation instruction is included in the course)
- GitHub Desktop
- Elementary knowledge of Computers, IT, and Networks.
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.5 GB
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