Using NGINX as a Kubernetes Ingress Controller
This course covers the use of NGINX as a Kubernetes Ingress Controller. It explores the Kubernetes ecosystem, service discovery, Ingress resource, and configuration management. It also provides a demonstration of installation on GKE, and how to configure and manage NGINX Ingress Controller. This course is a great way to learn how to use NGINX as a Kubernetes Ingress Controller. ▼
ADVERTISEMENT
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]
Learners can learn a variety of topics from this course, such as using NGINX as a Kubernetes Ingress Controller, understanding the Kubernetes ecosystem, service discovery, configuring the Ingress resource, installation on GKE, config generation, custom templates, custom annotations, monitoring with Prometheus, TCP/UDP load balancing, and the benefits of NGINX Plus Ingress Controller. Additionally, learners can gain an understanding of NGINX Ingress Controllers and have the opportunity to ask questions and receive answers. This course is a great way to learn about web servers, container orchestration, and reverse proxy technologies.
[Applications]
After taking this course, participants should be able to apply the knowledge they have gained to configure NGINX as a Kubernetes Ingress Controller. This includes setting up Service Discovery, Ingress Resources, Configuration Management, and Custom Templates. Participants should also be able to use Config Generation, Custom Annotations, and Monitoring with Prometheus. Additionally, participants should be able to use TCP/UDP Load Balancing and understand the benefits of using NGINX Plus Ingress Controller.
[Career Paths]
1. Kubernetes Engineer: Kubernetes Engineers are responsible for designing, deploying, and managing Kubernetes clusters. They must have a deep understanding of the Kubernetes architecture and be able to configure and troubleshoot Kubernetes components. As Kubernetes continues to grow in popularity, the demand for Kubernetes Engineers is expected to increase.
2. Cloud Architect: Cloud Architects are responsible for designing and implementing cloud-based solutions. They must have a deep understanding of cloud technologies and be able to design and implement solutions that are secure, scalable, and cost-effective. As cloud computing continues to grow in popularity, the demand for Cloud Architects is expected to increase.
3. DevOps Engineer: DevOps Engineers are responsible for automating the deployment and management of applications and services. They must have a deep understanding of DevOps tools and processes and be able to configure and troubleshoot applications and services. As DevOps continues to grow in popularity, the demand for DevOps Engineers is expected to increase.
4. NGINX Engineer: NGINX Engineers are responsible for designing, deploying, and managing NGINX-based solutions. They must have a deep understanding of NGINX and be able to configure and troubleshoot NGINX components. As NGINX continues to grow in popularity, the demand for NGINX Engineers is expected to increase.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path focuses on the fundamentals of computer science, such as programming, software engineering, and computer architecture. It also covers topics such as artificial intelligence, machine learning, and data science. This degree path is becoming increasingly popular as technology advances and more companies are looking for skilled computer scientists.
2. Bachelor of Science in Information Technology: This degree path focuses on the application of technology to solve business problems. It covers topics such as network security, database management, and web development. This degree path is becoming increasingly popular as businesses rely more heavily on technology to run their operations.
3. Master of Science in Cloud Computing: This degree path focuses on the use of cloud computing technologies to store, manage, and analyze data. It covers topics such as cloud architecture, cloud security, and cloud storage. This degree path is becoming increasingly popular as businesses move their operations to the cloud.
4. Master of Science in Data Science: This degree path focuses on the use of data to solve business problems. It covers topics such as data mining, machine learning, and data visualization. This degree path is becoming increasingly popular as businesses rely more heavily on data to make decisions.
Course Provider
Provider Youtube's Stats at AZClass
Discussion and Reviews
0.0 (Based on 0 reviews)
Start your review of Using NGINX as a Kubernetes Ingress Controller