How to Improve Visibility in Kubernetes with Prometheus Grafana and NGINX
This session will discuss how to improve visibility in Kubernetes with Prometheus, Grafana, and NGINX. Attendees will learn about the challenges and solutions for visibility, the differences between visibility and insight, and how to use a service mesh for visibility. Additionally, sources to get visibility data will be discussed. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
- 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
(Please note that we obtained the following content based on information that users may want to know, such as skills, applicable scenarios, future development, etc., combined with AI tools, and have been manually reviewed)
This course provides users with the knowledge and skills to improve visibility in Kubernetes with Prometheus Grafana and NGINX. It covers 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, Grafana dashboards, Grafana Loki, and community Q&A.
Possible Development Paths include becoming a Kubernetes expert, a DevOps engineer, a cloud engineer, a software engineer, a system administrator, or a network engineer. Learners can also pursue further education in computer science, software engineering, or cloud computing.
Learning Suggestions for learners include taking courses on Kubernetes, DevOps, cloud computing, software engineering, system administration, and networking. Learners should also read up on the latest trends in the industry and stay up to date with the latest technologies. Additionally, learners should practice their skills by building projects and participating in hackathons.
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