InfoQ Homepage AWS Content on InfoQ
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Anne Currie Discusses Cloud Providers and the Environmental Impact of Software
Charles Humble talks to Anne Currie from Container Solutions, exploring the environmental impact of technology. They look at how technology compares to other industries such as aviation and farming, how the big cloud providers compare in terms of their commitments to reducing carbon emissions, and the impact of the choices made by individual developers and software architects.
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Yan Cui on Serverless, Including Orchestration/Choreography, Distributed Tracing, & More
Today on the InfoQ Podcast, Yan Cui (a long time AWS Lambda user and consultant) and Wes Reisz discuss serverless architectures. The conversation starts by focusing on architectural patterns around choreography and orchestration. From there, the two move into updates on the current state of serverless cold start times, distributed tracing, and state.
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Joe Duffy on Infrastructure as Code, Pulumi, and Multi-Cloud
In this podcast, Daniel Bryant sat down with Joe Duffy, founder and CEO at Pulumi, and discussed several infrastructure-themed topics: the evolution of infrastructure as code (IaC), the way in which the open source Pulumi framework allows engineers to write IaC using general purpose programming languages such as JavaScript and Go, and the future of multi-cloud environments.
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Arun Gupta on Managed Container Control Planes on AWS
Arun Gupta discusses with Wes Reisz some of the container-focused services that AWS offers, including differentiating ECS and EKS. Gupta goes into some detail t the role that Amazon Fargate plays and goals behinds EKS. Gupta wraps ups discussing some of the open source work that AWS has recently been doing in the container space.
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Sid Anand on Building Agari’s Cloud-Native Data Pipelines with AWS Kinesis and Serverless
Wesley Reisz talks to Sid Anand, a data architect at cybersecurity company Agari, about building cloud-native data pipelines. The focus of their discussion is around a solution Agari uses that is built from Amazon Kinesis Streams, serverless functions, and auto scaling groups.