InfoQ Homepage PaaS Content on InfoQ
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The Challenge of Cognitive Load in Platform Engineering: a Discussion with Paula Kennedy
In a recent article, Paula Kennedy shared her thoughts on the ever-increasing cognitive load being saddled onto development teams. Although platform engineering is touted as a solution to this challenge, a poorly designed platform will increase the cognitive burden on developers utilizing it. We must also be careful that we are not just transferring that cognitive load onto the platform teams.
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Build, Test, and Deploy Scalable REST APIs in Go
In this article, we'll look at how to use the gin framework to create a simple Go application. We will also learn how to use CircleCI, a continuous deployment tool, to automate testing and deployment.
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Polyglot Microservices Communication Using Dapr on AKS
Dapr is a useful tool for solving several challenges engineers might face. It allows engineering organizations to gain productivity by training developers on a common set of tools and techniques. It also helps adopt standardization in development, deployment, and debugging.
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Choosing the Right Cloud Infrastructure for Your SaaS Start-up
As a solutions architect, I have been designing SaaS applications for years and I have seen start-ups struggle to find the right cloud infrastructure and improve their product offering. These experiences prompted me to write this article as a tool to help companies make a pragmatic fact and data-driven decision.
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Developing a Cloud-Native Application on Microsoft Azure Using Open Source Technologies
Cloud native is a development approach that improves building, maintainability, scalability, and deployment of applications. My intention with this article is to explain, in a pragmatic way, how to build, deploy, run, and monitor a simple cloud-native application on Microsoft Azure using open-source technologies.
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Designing IoT Solutions with Microsoft Azure
In this article, we will learn how the IoT solutions can work with Microsoft Azure and what services are available to perform different operations across multiple domains. Furthermore, it covers a few case studies to gain hands-on experience on Azure IoT that are common and provide a good starting point for utilizing cloud-based IoT services.
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Building an Effective Digital Platform: Adam Hansrod on the Benefits, Challenges, and Approach
A successful digital platform can improve time to market, increase revenue, reduce operational costs, and improve innovation. An effective platform is one that is differentiating, designed as a product, and is opinionated. InfoQ sat down with Adam Hansrod to discuss how organizations can structure themselves to create effective digital platforms.
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An Introduction and Tutorial for Azure Cosmos DB
Azure Cosmos DB is a globally distributed, JSON-based database delivered as a ‘Platform as a Service’ (PaaS) in Microsoft Azure. Learn about the benefits and disadvantages of Azure Cosmos DB. Find out more about this database and discover how to interact with it using tools, SDKs, and APIs.
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Leverage the Cloud to Help Consolidate On-Prem Systems
A cloud model can be used to architecturally validate the possibility of consolidating multiple application servers into a smaller number of physical resources that will ultimately remain on-prem.
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Microsoft's Low-Code Strategy Paints a Target on UIPath and the Other RPA Companies
Microsoft is investing big in the low code space and has put together a collection of products that is hard for other companies to match, capped recently by the announcement of PowerFX. The target in their sights is the Robotic Process Automation (RPA) companies such as UIPath, Automation Anywhere and Blue Prism who are closing big deals with big enterprises.
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Evolution of Azure Synapse: Apache Spark 3.0, GPU Acceleration, Delta Lake, Dataverse Support
At Microsoft Build 2021, Azure Synapse has announced significant improvements for its Apache Spark pool, its performance, and data querying and integration capabilities. This article outlines the improvements and provides the context.
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Can We Trust the Cloud Not to Fail?
I will start with the theory behind failure detection, and then review a couple of real-world examples of how the mechanism works in a real cloud - on Azure. Even though this article includes real-world applications of failure detection within Azure, the same notions could also apply to GCP, AWS, or any other distributed system.