Course: Scaling Kubernetes Apps & Solutions
duration: 8 hours |
Language: English (US) |
access duration: 90 days |
Details
As scalability becomes increasingly non-negotiable and more
applications are built with containers, the open-source software
Kubernetes has become an appreciated one-stop shop for developing
and running applications. Kubernetes helps manage multiple
containers across different systems, allowing you to scale them
with ease. So a very helpful tool, which is definitely worth
learning about. First, you learn about application scaling, the
benefits of containerized applications, cloud computing, and key
components within a Kubernetes deployment. Next, you’ll explore
Kubernetes Packaging and get a theoretical and practical
understanding of the importance of package management. Finally,
you’ll learn about logging and monitoring and the role of cloud
platforms in this process. Think about Google Cloud Operations for
Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Services
(EKS), and Microsoft Azure Kubernetes Services (AKS).
Result
After completing this course you are ready to apply Kubernetes solutions into your daily tasks. You’ll be able to build more scalable application, create efficient package management, and use logging and monitoring.
Prerequisites
No prerequisites. However, some experience with developing is recommended.
Target audience
Software Developer, Web Developer
Content
Scaling Kubernetes Apps & Solutions
Scaling Kubernetes Apps & Solutions: Scalable Kubernetes
- As scalability becomes increasingly non-negotiable and more applications are built with containers, the open-source software Kubernetes has become an appreciated one-stop shop for developing and running applications.
- Kubernetes helps manage multiple containers across different systems, allowing you to scale them with ease. It provides access to plugins and extensions to improve management and security. And with the ability to use cloud-based solutions, increases the portability of your applications.
- Use this course to learn about application scaling and the benefits of containerized applications and cloud computing. Examine the key components within a Kubernetes deployment. As you progress, run and configure clusters; use kubectl, ConfigMaps, probes, taints, and tolerations; and finally, set up autoscaling and configure a Kubernetes multi-pod deployment.
- Upon completion, you'll be able to scale applications using Kubernetes.
Scaling Kubernetes Apps & Solutions: Kubernetes Packaging
- Kubernetes package management allows developers to easily package, configure, and deploy applications and services onto clusters. Package managers maintain the application lifecycle, enabling you to optimize several tasks. Learning how to utilize these resources will improve your ability to scale Kubernetes applications and services.
- Use this course to gain a theoretical and practical understanding of the importance of package management. Examine how each of the major cloud platforms manages Kubernetes services for continuous delivery. And explore what's on offer through the various Kubernetes package managers.
- On a practical front, learn how to manage Kubernetes YAML manifests. Work with Helm, creating Helm charts, chart hooks, and Kubernetes ConfigMaps and Secrets. And lastly, deploy a multi-pod application using Helm.
- Upon completion, you'll be able to conduct Kubernetes package management in the most viable way.
Scaling Kubernetes Apps & Solutions: Kubernetes Logging & Monitoring
- Logging and monitoring should be a central part of any good DevOps process, including those associated with cloud-native application development and scaling. While traditional logging and monitoring tools aren't designed for cloud-native environments, there are other solutions.
- Use this course to comprehend how cloud platforms have changed the nature of logging and monitoring. Learn how Google Cloud Operations for Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Services (EKS), Microsoft Azure Kubernetes Services (AKS), and Kubernetes handle logging and monitoring.
- On a practical front, use klog to generate log messages, debug issues with Kubernetes audit logs, pull events using kubectl, use Fluentd to log information, Elasticsearch to monitor your Kubernetes applications, and Kibana to log and collect time series analytics.
- When you're done, you'll be able to implement logging and monitoring into your Kubernetes application development processes.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
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