By using pre-packaged containers which are optimised for performance and tested for compatibility, you can get started easily.
The philosophy of packaging into containers enables us to run algorithms more effectively because machine learning and Deep learning projects need to manage deployment with an increasingly complex software stack. I see AI edge engineering as the “Ability to deploy AI and ML models in containers at the Edge” All the benefits of containers in reducing friction over the software supply chain also apply to the Edge. I am exploring the idea of the benefits of containers on Edge devices. Note this section relates to my personal workĪt the University of Oxford artificial intelligence cloud and edge impleme… course.
We do not need to install special libraries or frameworks to manage dependencies.
Standardised infrastructure – Every server becomes another Docker host.
Simulating production-like environments: Containers help simulate a production-likeĮnvironment, even on a developer’s laptop. We can also ensure that the author ofĪ container image is who they claim to be. Improving security: Container images are immutable and can be scannedįor known vulnerabilities and exposures. Containers overcome these problems by encapsulating the application and all external dependencies – ex as in a Docker container. The problem was further compounded due to management of many dependencies and very short release cycles. This process got complex and error-prone with many developers deploying different applications and versions to those applications.
Prior to devops/containers – developers would hand over the code to the operations engineers who were then supposed to install it on the production servers and get it running. Also, the shipper is not concerned about the contents of the containerĬontainers unify the world of development and deployment. In a shipping container, the container is a box with standardized dimensions (length, width and height) and can be treated as a black box from the shipper’s standpoint. The analogy of a shipping container in the transportation industry is often used to describe software containers. The book explains the software supply chain and the friction within it – and then presents containers as a means to reduce this friction and add enterprise-grade security on top of it.
This book explains the end-to-end deployment of containers for an Azure environment – including container orchestration through Kubernetes. Oxford for AAA AI edge engineering “Ability to deploy AI and ML models in containers at the Edge”Ĭhapter 1: What Are Containers and Why Should I Use Them?Ĭhapter 2: Setting up a Working EnvironmentĬhapter 4: Creating and Managing Container ImagesĬhapter 5: Data Volumes and System ManagementĬhapter 6: Distributed Application ArchitectureĬhapter 10: Orchestrating Containerized Applications with KubernetesĬhapter 11: Deploying, Updating, and Securing an Application with KubernetesĬhapter 12: Running a Containerized App in the CloudĬontainers are the best way to implement a DevOps architecture. In this post, I explain the significance of deploying apps with Docker and Kubernetes and also some of my thinking at the University of Oxford artificial intelligence cloud and edge impleme… course. You can download the whole book by registering HERE