Systems | Development | Analytics | API | Testing

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.

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.

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.

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.

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.

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

The EU Data Act gives businesses and individuals operating in the EU more control over their data, including data access and portability for customers.

Condé Nast, National Australia Bank, and Red Ventures are global enterprises that modernized their data infrastructure with Fivetran and Databricks, strengthening the foundation of their businesses.

If you release often or support a localized app, you know how quickly release notes can become a repetitive chore. Creating and managing release notes for every version can take up valuable time, especially when updates are frequent. The challenge grows when your app is localized, but your release notes aren't. App stores typically require localized notes, which often leads to a lot of copy-pasting or scrambling to meet requirements in languages your team may not speak fluently.

Ever deployed code only to watch everything crash? We’ve all experienced that sinking feeling ,which is exactly why testing matters so much. While most developers understand that testing is vital, two important approaches : unit testing and regression testing are frequently confused, despite serving completely different functions. In this blog, we’ll clear up the confusion, examine their core methodologies, and how tools like Keploy can automate and enhance your testing processes.