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Research Results: Key software architecture metrics

Apiumhub

If you remember my article about Software Architecture Quality Attributes , you know that we have been conducting a survey to find out key software architecture metrics that leading companies and software architects use. As quality of a software’s architecture is essential, yet very difficult to apprehend and measure.

Metrics 94
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Comparing Serverless Architecture Providers: AWS, Azure, Google, IBM, and other FaaS vendors

Altexsoft

According to the RightScale 2018 State of the Cloud report, serverless architecture penetration rate increased to 75 percent. Aware of what serverless means, you probably know that the market of cloudless architecture providers is no longer limited to major vendors such as AWS Lambda or Azure Functions.

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A Simple Serverless Product Catalog

The Agile Monkey

Utilizing AWS Hosted Technologies to Bootstrap a Simple Cloud E-Commerce Solution A Very Brief Serverless Introduction There are plenty of blog posts and documentation that give introductions to serverless architectures in general and specific providers and technologies. They also mesh neatly with CI/CD solutions like CircleCI.

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Monetization: What SaaS platform builders need to know to prepare for growth, Part 2

CloudGeometry

Second, there is no one-size-fits-all SaaS architecture (the second principle is a corollary of the first). The challenge is to build common ground between business and architecture so as to translate business assumptions into critical technical solution inputs. This is known as a unit metric.

Metrics 130
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Announcing Netlify Log Drains for Datadog

Netlify

As the adoption of Jamstack architecture goes mainstream in enterprises worldwide, there’s a growing need to centralize application management using the tools that are already in place. Serverless function invocation information and performance monitoring. Need for longer log retention for month-over-month comparisons and cold storage.

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Evaluation of generative AI techniques for clinical report summarization

AWS Machine Learning - AI

It’s serverless, so you don’t have to manage any infrastructure. In this post, we provide a comparison of results obtained by two such techniques: zero-shot and few-shot prompting. These metrics will assess how well a machine-generated summary compares to one or more reference summaries.

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ICYMI: Honeycomb Developer Week: The Partner Ecosystem

Honeycomb

Time-over-time comparison: Compare any set of requests with the similar requests from an earlier comparable time period, for example see how this time window compares to the same time window one week ago. It gives you information about your request—its name, query fields, and metrics such as the duration of your request.