We created the Terraform API gateway module to help you follow DevOps best practices while implementing Kong using infrastructure as code (IaC). Terraform is an open source tool that allows you to implement IaC using a declarative declaration definition. This Terraform module is the reference platform maintained by Kong for potential and existing customers to quickly set up both Kong Gateway and Kong Enterprise for demo and PoC environments.

DreamFactory’s Azure AD connector makes it easy to use an Azure Active Directory tenant for API authentication. By using Azure AD Application Roles it is also possible to assign Users and Groups to DreamFactory roles from the Azure Portal. In this example, we will show how to quickly configure DreamFactory with the proper metadata from Microsoft Azure Active Directory (Azure AD).

For quick, scalable, highly-available web services, few options compare to AWS Lambda. Just provide your code, add a little configuration, and you're done! In this article, Milap Neupane will introduce us to Lambda, show us how to get it working with Ruby and the Serverless Framework, and discuss reasons to use — or to not use! — Lambda in production.

Are you running your organization's Apache Kafka on-premise? If you are and you’re still reading this article, it’s more than likely that Kafka is or will be a keystone of your data infrastructure. But it’s also likely your teams are tired of the cost and complexity required to scale it, meaning your honeymoon with Kafka is coming to an end. So what does the imminent migration mean?

GKE is a Google Cloud service that offers a managed Kubernetes cluster, the nodes of the clusters are running on Google Cloud VM instances, the control plane and network is fully managed by GKE. GKE offers a sandboxing feature (https://cloud.google.com/kubernetes-engine/docs/concepts/sandbox-pods ), based on gVisor (https://gvisor.dev/docs/ ) it protects the host kernel from untrusted code.

The key differences between Amazon Kinesis and Kafka are: Introducing data streamers! These services validate and route messages from one application to another, managing workload and message queues effectively. The result? Users process messages through a centralized processor and handle large data streams more efficiently. Amazon Kinesis and Apache Kafka are two data stream services.

There has been an e-commerce explosion this year as consumers seek safety and convenience from the comfort of their own homes using digital tools to purchase everything from durable hard goods to fashion accessories to daily living consumables like food perishables, cleaning products and even school supplies.

Snowflake met with Mark Stange-Tregear, Vice President of Analytics for Rakuten Rewards, and Andrew Parry, Vice President of IT Application Development for Office Depot, at Data Cloud Summit 2020. The Data Cloud is unlocking new ways of delivering products and services to customers, managing supply chains, and collaborating globally. Rakuten Rewards and Office Depot are going “all- in” on the Snowflake Data Cloud to transform their businesses. Q. How does data affect your business?

One of the highly anticipated events every year is the keynote from Dr. Werner Vogels at the annual AWS Reinvent conference. As CTO of Amazon, Dr. Vogels has considerable influence on product and engineering innovation that directly impacts hundreds of millions of users and developers. Here are three takeaways from Dr. Vogels’ keynote this year.

Building a multi-region or multi-cloud environment for your applications requires a lot of attention. In a typical deployment, you would have an API gateway running close to the several application runtimes. You should enhance your deployment to support different regions in a given cloud, or in an even more distributed and hybrid scenario, multiple services running across other public clouds and on-premise environments.