This post is the third of a four-part series this week exploring Microsoft Arc, and how it can be used as a control plane to manage services. Check back each day through Thursday for subsequent installments: (Part 1) (Part 2)
Over the last decade, the public cloud has evolved and matured to become the foundation of modern infrastructure. Hyperscale providers such as Amazon Web Services, Microsoft, and Google have built robust control plane and orchestration engines to handle the lifecycle of managed services such as virtual machines, containers, functions databases, Big Data clusters, IoT and edge devices, and more.
In this tutorial, I will walk you through the steps involved in hosting a PyTorch model on AWS Lambda backed by an Amazon EFS file system. The function is exposed through an API Gateway.
In this tutorial, I will walk you through the steps involved in hosting a PyTorch model on Amazon Web Services’ EC2 backed by an EFS file system. This article is a part of the series on making AWS Lambda functions stateful with Amazon EFS (Part 1, Part 2).
In this tutorial, I will walk you through the steps involved in creating an Amazon EFS file system and mounting it in an EC2 instance. This article is a part of the series on making AWS Lambda functions stateful with Amazon EFS.
Amazon Web Services’ Lambda is one of the first serverless platforms in the industry. Since its launch in 2014, Amazon has added multiple features to make it the most mature Functions as a Service (FaaS).
Networking is a challenge that has declined over the years, although Kubernetes users continued to assess ingress providers. In fact, while a Kubernetes user had an average of 1.5 ingress providers, the 28% of respondents who cited networking as a challenge had on average 3 ingress providers.
Docker Engine (now Docker-CE) is one of the most popular container runtimes used by container management platforms. Frakti is a hypervisor-based container runtime for Kubernetes which provides a stronger isolation by running pods in dedicated VMs. Apart from these, other choices include Kata Containers and runC.
Implementation challenges were common for early adopters of third-party, best-of-breed solutions. As time goes on, it will be interesting to evaluate how effective the new players will be. It could impact the ability of cloud and traditional storage companies to retain their customers in this segment.
This is the last installment of the 4-part series where we configure and deploy an AIoT workload running on cloud native edge infrastructure.