InfoQ Homepage Cloud Content on InfoQ
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Performance Analysis for Arm vs x86 CPUs in the Cloud
In this article, the author uses AWS’s Arm (Graviton2) and x86_64 (Intel) EC2 instances to evaluate computational performance across different software runtimes, including Docker, Node.js, and WebAssembly. Our conclusion is that Arm is more cost effective in the cloud, especially with lightweight runtimes that are close to the underlying operating system.
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Building a Self-Service Cloud Services Brokerage at Scale
While not suitable for everyone, cloud brokerages are useful for large enterprises that want to improve their cloud management and operations. The article looks at planning and delivering a brokerage.
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How to Evolve and Scale Your DevOps Programs and Optimize Success
Processes and workflows become more complex and difficult as DevOps efforts scale. In this article, we’ll take a look at these challenges, and sketch an approach to overcoming them.
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Q&A with Kubernetes SIG Network Chair and Google's Tim Hockin Regarding Kubernetes Networking
InfoQ caught up with chair of Network SIG, principal software engineer at Google, speaker of the upcoming Kubecon + CloudNativeCon 2020 session, and a Kubernetes maintainer even before it was announced, Tim Hockin, about the history of Kubernetes Networking and the roadmap.
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Taking Control of Confusing Cloud Costs
As cloud adoption accelerates, it’s increasingly important that organisations are able to come to grips with confusing cloud pricing and take back control of budgets to optimise spending. This article looks at the source of confusion, and how to get more clarity about costs.
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Running React Applications at the Edge with Cloudflare Workers - Q&A with Josh Larson
Running web applications at the edge shortens the latency observed by users of web applications. Flareact is an edge-rendered React framework built for Cloudflare Workers and inspired by Next.js. Flareact currently supports file-based page routing, dynamic page paths, API routes, cache policy configuration, and edge-side data fetching APIs.
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Why the Serverless Revolution Has Stalled
Are traditional servers dead? Far from it. This article looks at why, despite serverless models finding great utility in specific circumstances, there's a barrier to more widespread adoption.
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The End of the Privacy Shield Agreement Could Lead to Disaster for Hyperscale Cloud Providers
The recent ending of the Privacy Shield agreement by the European Court of Justice (ECJ) might impact cloud adoption. This article looks at the demise of this agreement, and possible solutions.
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From Cloud to Cloudlets: a New Approach to Data Processing?
The growing popularity of small, distributed clouds, or “cloudlets” is an implicit recognition of the limitations of the “traditional” cloud model, and could signal a major shift in the way that data is collected, stored, and processed.
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Why Every DevOps Team Needs a FinOps Lead
An outstanding FinOps practice can not only save money but also lead to better customer experience and smarter product design when integrated into the infrastructure and application design process. Read about PerimeterX's FinOps journey in this practical article.
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Kubernetes Operators in Depth
Kubernetes operators can be an attractive proposition for developers streamlining their applications, or DevOps engineers reducing system complexity. Here's how you construct an operator from scratch.
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Azure + Spring Boot = Serverless - Q&A with Julien Dubois
Microsoft seems to prove over and over again its focus on cloud and the Java ecosystem is the new normal. Even though Java has been amongst the supported languages for Azure functions for some time now, Julien Dubois experimented with Spring Boot and Azure to see what this combination means for Azure serverless computing. InfoQ reached out to him to explore further his experience on this topic.