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How to Improve Visibility in Kubernetes with Prometheus, Grafana, and NGINX

Nginx via YouTube

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Overview

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Discover how to enhance visibility in Kubernetes using Prometheus, Grafana, and NGINX in this comprehensive livestream. Learn to leverage the NGINX dashboard for real-time monitoring of crucial load-balancing and performance metrics, export these metrics to Prometheus, and create Grafana dashboards for a cumulative performance view. Explore visibility challenges and solutions, understand the differences between visibility and insight, and learn about using service mesh for improved visibility. Gain insights into various sources for obtaining visibility and understand why NGINX is an excellent choice for this purpose. Watch live demonstrations of NGINX microservices solutions, Grafana dashboards, and Grafana Loki in action. Participate in a community Q&A session and share your Kubernetes experience with experts.

Syllabus

- Welcome to Microservices March
- Improve Visibility in Kubernetes Session Agenda
- Visibility Challenges and Solutions
- Differences Between Visibility and Insight
- Using a Service Mesh for Visibility
- Sources to Get Visibility
- Why Use NGINX for Visibility?
- Visibility with NGINX Microservices Solutions
- Demo
- Grafana Dashboards
- Grafana Loki
- Demo
- Community Q&A
- Tell us about your Kubernetes Experience

Taught by

NGINX, Inc

Reviews

5.0 rating, based on 1 Class Central review

Start your review of How to Improve Visibility in Kubernetes with Prometheus, Grafana, and NGINX

  • Profile image for Pawani Perera
    Pawani Perera
    I wanted to take a moment to express my appreciation for the online Grafana course I recently completed. It was exceptionally well-structured and informative. The course content was delivered in a clear and engaging manner, making it easy to follow along and grasp the concepts effectively.

    Moreover, the hands-on exercises were instrumental in solidifying my understanding of Grafana's functionalities. I feel confident in my ability to utilize Grafana efficiently in various monitoring and visualization projects moving forward.

    Thank you for providing such a valuable learning experience.
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