The report highlights platforms like Fivetran that are crucial for modernizing marketing data infrastructure in today’s fast-paced, budget-conscious market.

In this blog post, we'll talk about how to implement API product tiering, a powerful way to customize access, control usage, and monetize APIs. This model can help you scale efficiently while maintaining a smooth user experience. Read on to learn more! We'll be talking about how to implement API product tiering with Kong Konnect, an API lifecycle management platform designed from the ground up for the cloud-native era and delivered as a service.

Every software application undergoes rigorous functional and non-functional testing to meet business requirements. When we talk about delivering top-tier software, performance is key. How fast does it run? How stable is it under pressure? Can it scale with growing demand? Does it remain reliable when pushed to its limits? These questions are at the core of performance testing, and that’s where benchmark testing steps into the spotlight.

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.

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.

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.

Whether you agree with Elon's prediction or not, it's hard to ignore AI's far-ranging impact, especially on how we approach work. Over the last two years, we have seen AI progress rapidly, leaving many of us wondering, "Will AI replace my job?" It's a question that software engineers have also been grappling with. As ironic as it may seem, the people writing the code driving the technology revolution face the same uncertainty about whether AI might replace them in the future.