API growth continues to rise within the modern enterprise. Microservices, are a leading growth driver for APIs as development teams continue to break down monolithic systems, seeking to capitalize on the advantages of decoupled capabilities. Benefits such as reduced costs, reduced time-to-market, faster release cycles and decentralized evolvability are possible. However, as APIs become increasingly prolific and central to core business functions, such benefits do not always linearly scale.

APIs have never been more instrumental in business. Organizations use them to deepen partnerships, accelerate development, integrate capabilities, and generate revenue. These business drivers, combined with the rise of microservices, drive incredible growth in the API space. According to the most recent State of Software Quality API report, 61% of survey respondents chose microservices as the technology that will most likely drive API growth.

Here are some of the most common marketing performance challenges agencies are facing every day and how they solve them.

Welcome back to the new Sauce Labs series ‘Every Experience Matters Stat of the Week.” In last week’s edition, we mentioned that about a quarter of consumers encounter an error or bug every day. While this indicated that errors are quite common overall, we didn’t dive deeper into how a customer may react when encountering those bugs. Are customers as forgiving as we might hope? Sadly, that is not the case. The results are dubious, to say the least.

A universal human problem that we don’t often address is that historically, knowledge has been relatively siloed by language. But with advancements in AI, there are new opportunities to capture broader and deeper insights across the written and spoken word by breaking down global language and distance barriers. This was the topic of discussion on our most recent Data Legends podcast episode, featuring Amr Awadallah, founder and CEO at ZIR AI and former technology exec at Cloudera, Google, and Yahoo.

In this load test tutorial, you’ll learn how to use Postman for small-scale API testing. You’ll also learn about some shortcomings and challenges of the framework that can be solved by using a tool like Speedscale. Because HTTP services don’t have a graphical user interface, you’re forced to test web APIs by simulating requests from a known client so that you can control the traffic data.

Gaining an accurate view of revenue intelligence for B2B markers is challenging. With disconnected and dirty data residing in many systems, customers need a solution that collects, normalizes, and aggregates information into reports that answer the questions B2B marketers should have a handle on. And let’s face it, no matter how great a set of standard reports might be, every customer wants to see their data a little differently.

Data infrastructure is rapidly growing and evolving along with infrastructure for AI/ML, with the latter growing largely independent from the former. An emerging generation of AI/ML tooling emphasizes data-centric versus model-centric approaches to the ML development lifecycle. These tools recognize that data is the foundation for AI and seek to open opportunities for all data professionals to participate by eliminating the unnecessary complexity of traditional model-centric solutions.

While the title to this post is clearly playful, when it comes to customer success it’s all business. Our rapid growth has always been a function of our customers’ happiness. Regardless if it’s a new release or a service engagement, our internal focus revolves around a few key themes.

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