Systems | Development | Analytics | API | Testing

Updates to BigQuery workload management help optimize workloads and resource allocation, preventing performance issues and resource contention.

It’s not every day you get to zoom out and talk about the why behind what you’re building. That’s exactly what Countly’s CEO, Onur Alp Soner, did recently on The SaaS Podcast—a conversation that turned into part reflection, part therapy, and part roadmap. The episode dives into the early days of Countly—when it was just a Hacker News post, a stubborn belief in data ownership, and a string of long nights spent building in open source.

ERP systems are the backbone of modern business operations. They support everything from finance and procurement to supply chain and compliance. But when it comes to reporting, even the most powerful ERP systems often fall short. Reports are slow to build, difficult to update, and often require IT support just to answer basic questions. That’s why optimizing your ERP reporting process is no longer optional. It’s essential.

Using Business Intelligence (BI) tools can be overwhelming—especially for company executives, shopkeepers, or factory workers who may only engage with them occasionally. This challenge is one of the key reasons we set out to rethink how most users interact with their data. Rather than relying solely on interactive dashboards or static PDF reports, we're exploring more intuitive and user-guided approaches.

When searching for ETL pipeline best practices, you will find some common themes: ensuring data quality, establishing consistent processes, and automating out repetitive tasks. There’s a reason these are recommended over and over: they help establish reliable, efficient, and scalable workflows. But one thing that isn’t often emphasized is the importance of implementing consistent, scalable compliance efforts — specifically by using data masking.

With an increasingly competitive market, ensuring software quality is essential for your business’s success. QA governance and strategy are crucial to ensure that processes are efficient, consistent, and aligned with business objectives. Managing these factors can be challenging, especially when teams deal with multiple tools, a lack of visibility about test progress, and maintaining compliance.

This article originally appeared on SD Times on May 30, 2025. We’re sharing it here for our audience who may have missed it. The headlines are seductive: AI will replace developers. Coding is dead. Ship 10x faster with half the team. It’s the kind of hype that grabs attention and fuels confusion.

New BigQuery features support near-real-time, transactional-style operations, letting you perform common data management in your data warehouse.

There have been huge changes in Android development over the years, but none has been as significant as Jetpack Compose state management. This isn’t just another toolkit update. It’s a flight to freedom, a rethinking of how we build user interfaces from the ground up. Jetpack Compose gives us a new, declarative-style UI development, which means cleaner code and introduces a powerful state management system at the heart of the entire framework.

Due to artificial intelligence and Large Language Models, having streamlined data communication, easy access and easy discovery is now more important than ever. Many people are unaware of it, but the llms.txt file is very important and key to what happens in the machine learning and web sectors. With this plain text file, websites and platforms can interact with LLMs, giving metadata that can impact the way AI indexes, interprets and generates their content.