Systems | Development | Analytics | API | Testing

APIs play a crucial role in SaaS product’s ability to communicate with internal and external applications. APIs have revolutionized the ways in which applications communicate, exchange data, and how software developers and providers structure their systems and products. But managing the large flow of data and information while ensuring data protection and minimal downtime is no easy task.

As a Christmas present, we have started rolling out a new feature for the Profiler: flamegraph rendering in addition to the existing Timeline and Callgraph. This is a feature preview and will see more changes in Q1 of 2024. For now, only customers with the most recent plans (Tideways 6) can access them, or you can view them in traces of the „demo“ organization. Let us know what you think of it!

As 2023 gets played off and 2024 eagerly awaits its turn in the spotlight, let’s look back at the past 365-ish days in the land of Kong. It’s the year's final post, and we’re playing nothing but the hits! Read on for a recap of the biggest Kong news from 2023.

This post is part of a series on becoming a secure API-first company. For a deeper dive, check out the eBook Leading Digital Transformation: Best Practices for Becoming a Secure API-First Company. As APIs have become mission-critical, securing them against threats is crucial. APIs are an attractive target for attackers, and a single vulnerability can expose an organization's most sensitive information assets. To properly secure APIs, we have to move beyond basic perimeter defenses.

Pickers are UI elements, provided by SwiftUI, that enable our users to choose between multiple options while using our iOS app. In this article we’ll have a look at them to see the various types and explore how they’re declared, configured, and styled. Together with SwiftUI buttons, pickers are one of the most used UI elements in iOS apps.

Zero ETL is a movement shaking up the data integration landscape with a groundbreaking approach. It has the potential to catapult businesses into a new phase of real-time analytics and decision-making. Amidst the buzz, it stands out with potential to redefine the speed and agility with which organizations harness their most valuable asset-data.

Imagine you’ve just started a new job working as a business analyst. You’ve been given a new burning business question that needs an immediate answer. How long would it take you to find the data you need to even begin to come up with a data-driven response? Imagine how many iterations of query writing you’d have to go through. In this scenario, you also have reports that need updating as well. Those contain some of the biggest hair-ball queries you’ve ever seen.

Ready to implement generative AI in your business processes? Starting with the right generative AI use cases is key to your success. You’ll want to find areas where you can achieve quick wins as you grow toward your larger AI vision. In this article, we’ll highlight five use cases where you can incorporate generative AI for increased process efficiency.

Application Programming Interfaces (APIs) are the glue powering SaaS application connectivity. However, ensuring smooth operation of APIs requires more than just implementation; vigilant oversight and alerting can make or break your API products.

Adopting and deploying Generative AI within your organization is pivotal to driving innovation and outsmarting the competition while at the same time, creating efficiency, productivity, and sustainable growth. Acknowledging that AI adoption is not a one-size-fits-all process, each organization will have its unique set of use cases, challenges, objectives, and resources.