Systems | Development | Analytics | API | Testing

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Contributing to Apache Kafka: How to Write a KIP

I’m brand new to writing KIPs (Kafka Improvement Proposals). I’ve written two so far, and my hands sweat every time I hit send on an email with ‘ KIP’ in the title. But I’ve also learned a lot from the process: about Apache Kafka internals, the process of writing KIPs, the Kafka community, and the most important motivation for developing software: our end users. What did I actually write? Let’s review KIP-941 and KIP-1020.

What is Live Testing? Guide To Do Live Testing In-depth

Live testing is to test software in real-world situations with real users instead of simulated data. This approach allows testers to check software quality in actual usage scenarios and real-world conditions. They do have their own risks to take into consideration, since we are interacting with real users and live systems here. In this article, we will explore the concept of live testing in-depth, and how you can better do live testing with the right tools and approach.

Product Update: Boost Databricks productivity, performance, and efficiency

Today, 65% of IT decision-makers believe their company is falling behind the competition in using data and analytics. Why? Organizations want real-time insights, fraud/anomaly detection, trend analysis, and systems monitoring. The good news – data teams that use DataOps practices and tools will be 10 times more productive.With this in mind, Unravel is hosting a live event to share new capabilities to help you achieve productivity, performance, and cost efficiency with Databricks’ Data Intelligence Platform.

Testing Bunjs Web Application With Cucumber Js And Keploy

In our previous blog, we explored how to build a modern web server using BunJs and Prisma, integrating robust authentication mechanisms with JWT tokens. Now, it’s time to ensure our application is reliable and error-free through thorough testing. In this blog, we’ll dive into testing methodologies using Cucumber JS and Keploy, both are a powerful tools that streamline the testing process and enhance the quality of our application.

Snowflake Arctic Cookbook Series: Instruction-Tuning Arctic

On April 24, we released Snowflake Arctic with a key goal in mind: to be truly open. In line with that goal, the Snowflake AI Research team is writing a series of cookbooks to describe how to pretrain, fine-tune, evaluate, and serve large-scale mixture-of-experts (MoEs) such as Arctic.

Transforming Integration: Harnessing the Power of API as a Product for Business Growth

Transform your application programming interfaces into dynamic revenue generators—this is the essence of treating ‘API as a product’. This concise guide provides fundamental insights into how APIs transcend their traditional roles to become standalone products, opening new avenues for customer interaction and business growth.