AWS Open Source Blog

Arun Gupta

Author: Arun Gupta

Arun Gupta is a former a Principal Open Source Technologist at Amazon Web Services. He has built and led developer communities for 12+ years at Sun, Oracle, Red Hat, and Couchbase. He has extensive speaking experience in more than 40 countries on myriad topics and is a JavaOne Rock Star for four years in a row. Gupta also founded the Devoxx4Kids chapter in the US and continues to promote technology education among children. A prolific blogger, author of several books, an avid runner, a globe trotter, a Docker Captain, a Java Champion, a JUG leader, NetBeans Dream Team member, he is easily accessible at @arungupta.

Data Processing Pipeline with Amazon Kinesis Data Streams and Kubeless - diagram

Building a Data Processing Pipeline with Amazon Kinesis Data Streams and Kubeless

If you’re already running Kubernetes, FaaS (Functions as a Service) platforms on Kubernetes can help you leverage your existing investment in EC2 by enabling serverless computing. The real significance of such platforms, however, lies in the number of data sources that can trigger the deployed function. The first part of this two-part series introduced one […]

Helm benchmark results

Raising Helm – to Enterprise Scale

中文版 A typical application deployed to Kubernetes consists of multiple manifests such as Deployment and Service for each microservice. Deploying these individual manifests can be challenging – this is where package managers like Helm come to the rescue. This post from Baruch Sadogursky of JFrog provides a status update on what is being done to […]

Running FaaS on a Kubernetes Cluster on AWS using Kubeless

Serverless computing allows you to build and run applications and services without provisioning, scaling, or managing any servers. FaaS (Functions as a Service) is the runtime that enables serverless computing by firing off bits of code (functions) as they are needed, freeing the developer from managing infrastructure and enabling the developer to simply write business […]

building blocks for containerized microservices

Microservices on AWS Compute Using Containers and Serverless

Deploying microservices-based applications can be complex. First, it requires setting up your basic compute, storage, and networking capabilities. You’re also going to need some simple developer tools, application integration, logging, distributed tracing, and monitoring. AWS offers a wide variety of choices in each of these areas. In compute, you can create your own custom stack […]

Pipelines For Container Applications Made Easy with mu

中文版 Amazon Elastic Container Service (ECS) is a great way to deploy containerized microservices. mu is an open source tool from Stelligent that makes it easier for developers to get started with microservices on ECS, by simplifying the declaration and administration of the AWS resources required for the ECS cluster, using a CLI. In addition, […]

Run Kubernetes on Your Laptop

A recent survey of 550 members of the Cloud Native Computing Foundation confirmed that Kubernetes is the orchestration platform of choice. The survey also reaffirmed that Amazon Web Services continues to be the leading choice for deploying Kubernetes clusters in the cloud. kubernetes-aws.io lists various ways you can easily create a Kubernetes cluster on AWS. […]