Systems | Development | Analytics | API | Testing

How Your Team Can Achieve Sustainable Test Growth: Balancing Speed, Cost, and Quality in the AI Era

The promise of AI-driven development is undeniable – faster code, quicker releases, and unprecedented innovation. But here’s the catch: AI isn’t perfect, and the code it generates could be riddled with hidden flaws. In fact, within three years, over a third of all code will be AI-generated, and much of it may introduce more bugs into production than ever before.

6 Best Developer Productivity Tools for 2025

Software development is a demanding field that requires precision, efficiency, and collaboration. Developers juggle various tasks, including writing code, debugging, testing, version control, and deployment. Without the right set of tools, inefficiencies can creep in, slowing down progress and reducing code quality.

Can ChatGPT Replace Google Search?

Since ChatGPT introduced the ability to display website names and clickable links to sources, it has generated a lot of buzz in the web community. This new feature enables users to get answers that directly link to websites for suggestions, services, and businesses. As of late 2024 and early 2025, some business owners have reported not only receiving web traffic from ChatGPT but also converting these visits into leads and sales through their web forms.

The Only Guide You Need to Set up Databricks ETL

Databricks is a cloud-based platform that simplifies ETL (Extract, Transform, Load) processes, making it easier to manage and analyze large-scale data. Powered by Apache Spark and Delta Lake, Databricks ensures efficient data extraction, transformation, and loading with features like real-time processing, collaborative workspaces, and automated workflows.

Empowering Real-time Data Replication: Unleashing the Potential of Qlik Replicate and Amazon MSK

In the current data intensive world we live in many customers deal with heavy volumes of data that reside in databases and streaming systems. There are many ways to move data from one cloud platform to another, but for efficient migration, ease of use/development, and near zero downtime, a tool that does continuous near real-time data movement and CDC (change data capture) is needed.

Part 2: Data Integration Platforms' Initial & Resync Time Benchmark

In Part 1 of this database replication resync time benchmark study, we discussed why minimizing your database replication resync times is of upmost importance when building mission-critical data products. In this Part 2, we share the breakdown of the tests that were carried out and the detailed results for each platform. The six platforms that we benchmarked for their CDC database replication resync times were.

Part 1: The Industry's Fastest Initial & Resync CDC Times

The strong rise of data products in today’s world has made companies introduce new best practices and stricter Service Level Agreements (SLAs) due to their critical functions. Whether these are internal or external-facing data products, experiencing downtime due to data replication issues is a major concern. In the ideal world, there would be no data replication issues, but in reality, they can occur for various reasons, which we’ve outlined below.