Observability with Grafana, Prometheus,Loki, Alloy and Tempo

Why take this course?
🎉 Course Title: Observability with Grafana, Prometheus, Loki, Alloy and Tempocourse Headline: Complete hands-on course of Grafana, Prometheus, Loki, Opentelemetry, Alloy and Tempoc
📘 Course Description:
Are you eager to master the art of observability and gain insights like a seasoned professional? 🚀 Our comprehensive course, led by expert instructor Aref Karimici, is your gateway to becoming an observability guru. Dive deep into the Grafana Stack with our acclaimed tutorial, which covers the essential tools in your observability journey: Grafana, Prometheus, Loki, Opentelemetry, Alloy, and Tempico.
What You'll Learn:
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🔍 Foundations of Observability: Understand the core concepts of observability, telemetry, metrics, and various collection methods to build a strong foundation.
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📈 Mastering Prometheus: Deploy, configure, and utilize Prometheus like a pro, with an emphasis on its rich features and capabilities.
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🖥️ Grafana Deployment: Learn how to set up Grafana across various environments, including Windows, Mac, Linux (multiple flavours), and using Docker.
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📊 Dashboard Design Best Practices: Create effective dashboards for browser applications, backend services, microservices, and infrastructure using Grafana and Prometheus.
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☁️ Integration with Databases & Cloud Platforms: Connect Grafana to MySQL, SQL Server, Amazon Cloud Watch, and Google Cloud Platform to visualize data from different sources.
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🚨 Alert Rules & Notifications: Set up proactive monitoring by creating alert rules and directing notifications through channels like Slack when thresholds are exceeded.
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📑 Working with Grafana Loki: Explore Grafana's log collection and visualization software, Loki, to effectively manage and visualize your logs.
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✨ Opentelemetry & Grafana Alloy: Get hands-on experience with Opentelemetry and its role in monitoring microservices, and learn how Grafana Alloy collects, processes, and exports Opentelemetry signals.
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🕵️♂️ Visualizing Opentelemetry Traces with Grafana Tempo: Understand and visualize the traces using Grafana Tempo, Grafana Labs' solution for Opentelemetry traces.
Real-World Application:
The course uses a fictional online shoe retailer called ShoeHub to provide real-world context and accompanying code/software on GitHub. You'll learn how to:
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🚀 Generate mock data for ShoeHub company to practice your observability skills.
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🐳 Create Docker build files for custom Grafana images.
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🎯 Use Docker composes files for a one-click setup of Grafana, Prometheus, Loki, and Tempo.
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📜 Write a Python script to generate mock logs for Grafana Loki.
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🖥️ Follow installation procedures for Ubuntu and Amazon Linux.
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☕ Enjoy custom Opentelemetry instrumentation in Python and C# microservices.
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🧠 Deploy Grafana Alloy using Linux shell scripts.
Stay Updated:
This course, first published in 2018, has been continuously updated and improved. You'll receive educational communications about updates and new content to keep your observability skills sharp.
Support Along the Journey:
Questions or issues? Aref Karimici is just a click away via Udemy's Q&A feature. Count on quick, helpful responses throughout your learning experience.
Ready to Embark on Your Observability Adventure? 🌟
Enroll now and join hundreds of students who have enhanced their monitoring and observability skills with this hands-on course. Happy learning, and see you in the classroom! 🎉💪🚀
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Comidoc Review
Our Verdict
This course offers valuable insights into Grafana and its integration with multiple databases. However, be prepared for outdated content and a few challenges during the learning process. A more up-to-date version would greatly benefit learners seeking hands-on experience with the latest features in Grafana.
What We Liked
- Comprehensive coverage of various databases and their integration with Grafana.
- Clear explanations of how to create panels and dashboards in Grafana.
- Comprehensive course content, great for getting acquainted with all aspects of Grafana.
Potential Drawbacks
- Some parts outdated, including interfaces and data generation processes.
- Incomplete tasks, such as installing Graphite-web and Graphite-server, can be challenging.
- Lack of up-to-date information related to Prometheus and InfluxDB usage on Grafana.