Category: Compute

The new AWS Lambda runtime API and layers capabilities give us the ability to build a clean, supportable implementation of PHP on Lambda of our own. We’ll take a brief look at the overall workflow and runtime lifecycle, and then show you one way to build a PHP runtime to start powering your PHP applications on AWS Lambda. Not a PHP developer? You can adapt the examples in this guide to build a custom runtime in your language of choice.

Amazon EC2 Spot Instances are one of the best ways to dramatically cut EC2 costs on AWS. With the new pricing model, there has never been a better time to start leveraging Spot Instances, and Spotinst’s DevOps Automation Platform helps businesses reduce operational overhead with automation and cut costs by reliably leveraging Spot Instances. In this post, we share a few stories from Spotinst customers outlining how they maximized infrastructure efficiency at minimum cost.

Leading organizations around the world are using CloudHealth to understand what’s driving the cost of their Amazon ECS, Kubernetes, and Mesos clusters. CloudHealth Container Module enables users to customize what and how to report on container usage and costs. Starting at the cluster level, it’s useful to compare the amount of resources allocated to container tasks to the available capacity of the cluster. In this post, we discuss how CloudHealth’s support for Amazon ECS helps you understand your AWS resource usage and cost.

Pulumi is a cloud-native development platform for describing, deploying, and managing cloud infrastructure across AWS, Kubernetes, and other cloud platforms. Pulumi offers cloud configuration as software, not just via a declarative language like YAML or JSON, but instead using popular programming languages such as JavaScript/TypeScript and Python. You can use Pulumi to easily deploy Amazon EKS, or to deploy your own custom AWS and Kubernetes-based applications and infrastructure.

Spring Venture Group reached out to APN Premier Partner Logicworks to architect and manage their AWS deployment. Their developers were comfortable building and deploying containers in their on-premises environment, but were eager to get greater agility and flexibility on AWS. Running AWS Service Catalog and Amazon ECS has created a reliable, stable deployment pipeline, resulting in hundreds of hours saved for their engineering team each month.

JFrog, an APN Advanced Technology Partner, is a proud integration partner of Amazon Amazon EKS. In this post, JFrog provides a detailed example of deploying a containerized application to Amazon EKS using JFrog Artifactory as the Kubernetes registry. We also explore how to configure Artifactory as your Kubernetes registry for Amazon EKS by provisioning Artifactory and Amazon EKS, and deploying the Docker images from Artifactory to Amazon EKS.

While a managed Kubernetes offering provides a tremendous business advantage for time-to-market when deploying new applications, customers still need to think about securing their applications. In this post, we explore how APN Advanced Technology Partner Tigera and their Tigera Secure Cloud Edition (CE) helps ensure your containerized applications running in Kubernetes are secure and auditable.

With VMware Cloud on AWS, you can deploy applications in a fully-managed VMware environment. Organizations can simplify their hybrid IT operations by using the same VMware technologies—including vSphere, vSAN, NSX, and vCenter—across their on-premises datacenters and on the AWS cloud. In this post, and my follow-up, we explore the major components of Amazon VPC for engineers and architects who build and operate VMware NSX networks, and who are building solutions on VMware Cloud on AWS.

While modernizing customer mainframes, the team at Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using Blu Age automated transformation technology.

AWS Partner Cinegy has long been an advocate of IP-based video workflows and understands that maintaining visual quality whilst reducing bandwidth consumption is an ongoing challenge with the increasing data requirements of formats such as Ultra High Definition (UHD). In this post, Cinegy demonstrates how to deploy a fully-functional playout engine using Amazon EC2 resources and the Cinegy Amazon Machine Image (AMI) to deliver a UHD TV channel with graphics.