Systems | Development | Analytics | API | Testing

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Enhancing Software Testing with Large Language Models: Navigating the Challenge of Hallucinations

Software testing is an indispensable stage in the software development lifecycle, tasked with verifying application reliability, security, and performance before deployment. This process evaluates software components to ensure they adhere to specified requirements and perform reliably under varied conditions.

Node.js Timeout Tactics: A Complete Handbook

Node.js is a powerful platform for building scalable and efficient server-side applications. One essential feature of Node.js development is managing timeouts effectively. Timeouts help handle various scenarios, such as preventing requests from hanging indefinitely or executing tasks within a specific timeframe. Let's get into the timeouts as time is out, what timeouts mean, and why they are necessary for Node.js applications.

Inside DataOps: 3 Ways DevOps Analytics Can Create Better Products

Can DataOps help data consumers reveal and take action on powerful product insights hidden in operational data? For many companies, the answer is yes! The emerging practice of DataOps applies Agile development principles and DevOps best practices (e.g. collaboration, automation, monitoring and logging, observability) to data science and engineering, making it faster and easier for organizations to uncover valuable product insights that enable innovation.

Unravel Data Product Update: Boost Databricks productivity, performance, and efficiency

Product Update: Boost Databricks productivity, performance, and efficiency Right now, 88% of companies surveyed are failing to achieve optimal price/performance for their analytics workloads. Why? They don’t have the staff, their skilled engineers spend too much time doing toilsome work, and they are unable to optimize data workloads for performance and efficiency. With this in mind, Unravel is hosting a live event to help you leverage Unravel to achieve productivity, performance, and cost efficiency with Databricks.

The Sliding Doors for ESG Reporting

In my first post of this new blog series, I introduced the concept of “sliding doors” for creating value with data: the divergent paths that organizations can take which can lead to great - or not so great - outcomes. In this post, I want to explore this for what has become a new data imperative for organizations today: effectively reporting their environmental, social and governance (ESG) data to meet new regulations.

What is the Listen to Yourself Pattern? | Designing Event-Driven Microservices

The Listen to Yourself pattern is implemented by having a microservice emit an event to a platform such as Apache Kafka, and then consuming its own events to perform internal updates. It can be used as a solution to the dual-write problem since it separates Kafka and database writes into different processes. However, it also provides added benefits because it allows microservices to respond quickly to requests by deferring processing to a later time.