Systems | Development | Analytics | API | Testing

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Why Slowing Down Can Lead to Better Products

Balancing speed and quality isn’t just about product development—it’s about shaping the future of your business. @Evelyn Coleman shares why the limitations on development speed are actually a blessing. Moving too fast without gathering feedback can send your product down the wrong path. It’s the balance between velocity and quality that helps teams gather the insights they need to build something truly impactful.

Generating Quality Data

The problem with test data is that it can become stale very quickly. This is either through its use from testing or from the fact that it is naturally aging in the test environments. This is not just an issue for performance testing, although the volumes of data sometimes required for performance testing do make it harder. This also affects functional testing as well as batch testing and business acceptance testing amongst others.

Developing Agile ETL Flows with Ballerina

Organizations generate vast amounts of data daily during various business operations. For example, whenever a customer checks out out at a retail outlet, data such as the customer identifier, retail outlet identifier, time of check out, list of purchased items, and the total sales value can be captured in the Point of Sales (PoS) system. Similarly, field sales staff may record possible sales opportunities in spreadsheets.

Federating API Quality Across Bundling Cycles

Over the last decade, many IT leaders have felt confident they were ready for the API evolution. Afterall, they invested a lot into it. Traditional API management platforms promised to deliver on transformational challenges, and offer cornerstone capabilities – API cataloguing, specification support, authentication, authorization permissions, security, policy management, and even developer portals.

The Evolution of LLMOps: Adapting MLOps for GenAI

In recent years, machine learning operations (MLOps) have become the standard practice for developing, deploying, and managing machine learning models. MLOps standardizes processes and workflows for faster, scalable, and risk-free model deployment, centralizing model management, automating CI/CD for deployment, providing continuous monitoring, and ensuring governance and release best practices.

NeoLoad 2024.3 to include extensive RTE support and more!

We’re excited to unveil a sneak peek of the upcoming NeoLoad 2024.3 release, which will be generally available this November. One of the most anticipated features in this release is remote terminal emulation (RTE) support — a game-changer for teams responsible for the performance of mainframe and other legacy systems.

Low-Code vs No-Code: The Differences & Similarities

Many vendors have started calling their platforms “low-code” or “no-code.” Competitors often pit the terms against each other. But what do low-code and no-code really mean? And what's the difference between the two? Both platforms offer improvements over traditional high-code approaches. The biggest differences are the target user groups.

New: Ably Pub/Sub now supports web push notifications

Keep users informed and engaged with Ably's expanded push notification support. We're thrilled to announce that Ably Pub/Sub now supports web push notifications, in addition to our existing support for iOS and Android devices. With just a few lines of code, developers can easily integrate web push into their applications, providing a seamless and unified experience across all major platforms.