InfoQ Homepage Serverless Content on InfoQ
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Software Architecture and Design InfoQ Trends Report—April 2020
An overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2020, with a focus on fundamental architectural patterns, framework usage, and design skills.
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Adoption of Cloud-Native Architecture, Part 1: Architecture Evolution and Maturity
In this article, authors Srini Penchikala and Marcio Esteves discuss what organizations should assess when adopting cloud native architectures for hosting their applications on cloud. It focuses on architecture hosting models. They also discuss how architecture patterns like microservices, containers, serverless, and service mesh can help with organizational adoption of cloud native solutions.
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Q&A with Gojko Adzic on the Book Running Serverless
In the book Running Serverless, Gojko Adzic introduces the basic concepts of serverless including detailed step-by-step instructions to get started on AWS, but he also goes beyond the basics and explains subjects like storage, session state, and event handling.
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Kubernetes Workloads in the Serverless Era: Architecture, Platforms, and Trends
Explore how microservices architecture has evolved into cloud-native architecture, where many of the infrastructure concerns are provided by Kubernetes in combination with additional abstractions provided by service mesh and serverless frameworks. In addition, the serverless ecosystem is evolving by exploring standard and open packaging, runtimes, and event formats.
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Understanding Serverless: Tips and Resources for Building Servicefull Applications
There are still many misconceptions and concerns regarding serverless solutions. Vendor lock-in, tooling, cost management, cold starts, monitoring and the development lifecycle are all hot topics where serverless technologies are concerned. This article shares tips and resources to guide serverless newcomers towards building powerful, flexible and cost-effective serverless applications.
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Four Techniques Serverless Platforms Use to Balance Performance and Cost
There are two aspects that have been key to the rapid adoption of serverless computing: the performance and the cost model. This article looks at those aspects, the tradeoffs, and opportunity ahead.
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Architecture and Design InfoQ Trends Report - January 2019
An overview of how the InfoQ editorial team sees the “architecture and design” (A&D) topic evolving in 2019, which focuses on fundamental architectural patterns, framework usage, and design skills.
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The Serverless Sea Change
This article defines and explains how serverless is different from other application architectures and then walks through a "proof" of sorts to show that serverless application architectures, when done properly, are superior to non-serverless architectures. Finally, it concludes with a number of rules of thumb to help architects and developers realize the benefits of serverless.
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Serverless Still Requires Infrastructure Management
Serverless architectures employ a wider range of cloud services and make infrastructure stacks more heterogeneous. To effectively manage infrastructure in this era, practices and tools have to evolve.
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Serverless Security: What's Left to Protect?
This article aims to provide a broad understanding of security in the Serverless world. We'll consider the ways in which Serverless improves security, the areas where it changes security, and the security concerns it hurts.
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InfoQ Virtual Panel: A Practical Approach to Serverless Computing
Add serverless computing to the growing list of options developers have when building software. Serverless products—more accurately referred to as Functions-as-a-Service—offer incredible simplicity, but at a cost. To learn more about this exciting space and the practical implications, InfoQ reached out to three experienced technologists.
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Introducing FaunaDB Serverless Cloud
FaunaDB Serverless Cloud is the managed version of FaunaDB, a serverless, object-relational, globally replicated, strongly consistent, temporal database, that can be deployed on multiple clouds, such as AWS, GCP, and Azure, or on premises.