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Analysis of the XRPL Amendments Introduced in March 2023

Ripple Engineering

This includes new features, enhancements to existing functionality, and bug fixes. For example, an important fix might be given a default "yes" vote. In most cases, bug fix amendments are expected to move from default "no" to default "yes" after being in stable release for about two release cycles.

Coding 52
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How Microsoft does Quality Assurance (QA)

The Pragmatic Engineer

In this article, we cover one out of seven topics from today’s subscriber-only issue on How Big Tech does QA. In this issue, we cover: The SDET role Retiring of the SDET role The SDET role The SDET (Software Development Engineer in Test) role was one that Microsoft pioneered across the tech industry.

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ChatGPT: Your Digital BFF

Workfall

Astonishment at what it can do, fear of cheating and replacement by “robots,” and warnings about the dangers of outsourcing creativity to machines are the main topics of conversation. In this blog, we will cover: What Is ChatGPT? How Does ChatGPT Function? Source – OpenAI How Does ChatGPT Function?

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Rendering Engine Tales: Road to Concurrent React

Zalando Engineering

Welcome back to our web platform blog series! It's been a while since we last talked about our approach to large-scale front-end development at Zalando. We are excited now to reconnect and share with you some substantial enhancements we've made to the streaming and rendering architecture of our Rendering Engine framework.

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The Rise of Managed Services for Apache Kafka

Confluent

This has changed over time, and we’d like to share some tips on how you can go about choosing the best option. This blog post goes over: The complexities that users will run into when self-managing Apache Kafka on the cloud and how users can benefit from building event streaming applications with a fully managed service for Apache Kafka.

Kafka 21
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61 Data Observability Use Cases From Real Data Teams

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Fix Data Incidents Faster 4.

Data 52
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61 Data Observability Use Cases That Aren’t Totally Made Up

Monte Carlo

In less than three years it has gone from an idea sketched out in a Barr Moses blog post to climbing the Gartner Hype Cycle for Emerging Technology. Because the technology is so extensible, there have been a wide array of suggestions–some more grounded than others–for how it can be used. Fix data incidents faster 4.