Learn how to build serverless functions that can run on any cloud, without being restricted by limits on the execution duration, languages available, or the size of your code. This course is designed to give you an overview of how a serverless approach works in tandem with a Kubernetes cluster.
The course is designed for developers and IT operators interested in exploring new approaches for building software, who prefer being able to set their own limits when it comes to things such as timeouts and choice of programming languages. Before enrolling, students should have an understanding of cloud and container technologies – including Kubernetes – as well as experience with Python.
This course will help you understand what serverless is starting with an overview of the CNCF landscape around serverless technologies. You'll learn how serverless can be made portable through the use of the Serverless 2.0 definition and Kubernetes, and explore the OpenFaaS toolchain, including: UI, CLI and REST API. You'll also learn about the OpenFaaS ecosystem, including the template store and function store for sharing functions and code templates. The course explores how to operate OpenFaaS with autoscaling, metrics, dashboards, upgrades, custom URLs, and versioning.
This course is designed to show you how a serverless approach works in tandem with a Kubernetes cluster, and help you discover the potential of serverless functions. By the end of the course you will be able to build functions using Python, configure them, and use secrets, as well as to add dependencies via pip, and learn how to build native extensions. You will also know how to expose functions securely on the Internet with TLS, and secure them with authentication.
Well structured, with a conceptual overview first, and practice later.
Provided a good end-to-end perspective of OpenVAS, I found it to be the best content on the internet.
I liked learning about the server less 2.0 concept, and they took a deep learning path to really explain what it is about, with the OpenVAS project.
This course was concise, with clear and practical examples.
Before taking this course, you should be familiar with:
The hands-on exercises have also been tested on Mac OS and Windows 10 operating systems.
For hands-on lab exercises, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Lab exercises in this course have been tested in a GCP environment.
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider.
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Should your enquiry be urgent, please mail us at info@meritglobaltraining.com or call us +971 50 205 6399 / +91 80885 11977 / +1 863-250-1577