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Enabling Secure Data Exchange with Decentralized APIs

Stop me if you’ve heard this one before, but there’s a lot of data out there — and the amount is only growing. Estimates typically show persistent data growth roughly at a 20% annual compounded rate. Capturing, storing, analyzing, and actioning data is at the core of digital applications, and it’s critical for both the day-to-day operations and detecting trends, for reporting, forecasting, and planning purposes.

Enhancing Node.js Core: Introducing Support for Synchronous ESM Graphs

Exciting news this week! One of the latest features in Node.js core is the addition of support for requiring synchronous ECMAScript Modules (ESM) graphs. This enhancement promises to simplify the transition for package authors and users alike, as the ecosystem gradually shifts towards ESM. This long-awaited feature, enabled via the --experimental-require-module flag, marks a pivotal moment in Node.js development, addressing a persistent pain point for developers.

Best Practices for Enterprise Data Migration: A Comprehensive Guide

Enterprise data migration is a complex and critical process that involves moving large amounts of data from one system or platform to another. Whether it is due to a system upgrade, consolidation, or merger, enterprises must carefully plan and execute data migrations to ensure a seamless transition without any data loss or disruption to business operations.

Python Logging: The Complete Guide

In computing, logging involves maintaining a record of events within a computer system, encompassing issues, errors, or pertinent information about ongoing operations. These events can manifest within the operating system or other software, with each occurrence documented through the creation of a message or log entry. Logging is crucial for comprehending the application's behavior, aiding in the identification of unexpected issues, debugging, or merely monitoring events.

Lenses 5.5 - Self-service streaming data movement, governed by GitOps

In this age of AI, the demand for real-time data integration is greater than ever. For many, these data pipelines should no longer be configured and deployed by centralized teams, but distributed, so that each owner creates their flows independently. But how to simplify this, whilst practicing good software and data governance? We are introducing Lenses 5.5.

Transitioning to Automation Role: Embracing a Future of Possibilities

The path to automation opens a world of possibilities. It’s an opportunity for professional growth, skill enhancement, and a chance to increase your impact on your team and projects significantly. As a QA professional, you possess a unique set of skills and insights that are immensely valuable in the sector of automation. This transition is not merely a change in day-to-day tasks but a promising venture into a space brimming with innovation.