Systems | Development | Analytics | API | Testing

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3 Ways to Monetize Your Application Data with Embedded Analytics

Data is one of the most valuable commodities an organization has. Every company stores and manages a substantial amount of information. But how do you gain revenue from it? Here, we discuss three ways you can monetize data with an embedded analytics investment.

Reactive Programming In Swift: Using RxSwift

Our users surprise us every day. They constantly find new and exciting ways to use our apps, and create all kinds of edge cases with their behaviour. As developers, it’s impossible to predict every single edge case. What we can do, however, is train our apps to react, and this is the core of Reactive programming, a development paradigm which has rapidly gained popularity for Swift programmers in recent years.

How to Build Better APIs Faster with Insomnia 9.0

API development is a crucial part of modern application building, but the tooling has often lagged behind, leading to inefficiencies and slow release cycles. Kong Insomnia 9.0 aims to change that by providing a powerful all-in-one platform for designing, testing, mocking, and debugging APIs. In this webinar, we'll dive deep into the major new features in Insomnia 9.0 that turbocharge API developer workflows.

The Sliding Doors for the Essentials

As I have explored in this “Sliding Doors” blog series, identifying the right door to create value with data can prove quite challenging - and once that door is opened, the journey ahead can seem daunting. But what if there was a way to make that journey a bit easier? Maybe it’s time to get back to basics… Who needs to hear this?

What is Regression Testing? Definition, tools and examples

Regression testing is an important practice in software development. It tests to ensure your application remains stable and reliable even as changes and updates are introduced. Each new change introduces a risk of breaking existing functionalities, potentially causing shipping delays or launch postponements. Evaluating your application against a full suite of tests helps find and fix unexpected software bugs or errors.

The Future of Testing - A Roundtable Discussion on AI and Automation

Recent advances in artificial intelligence (AI), particularly in generative AI with the release of large language models (LLM) such as OpenAI’s GPT 3.5 and 4.0, Google’s Gemini, and Meta’s Llama in 2023, have had a profound effect on business procedures and practices in several industries, including software development, operation, and quality engineering (QE).

How to Set Up a Fully Managed Alerting Pipeline Using Confluent Cloud Audit Logs

In large organizations, Confluent Cloud is often simultaneously accessed by many different users along with business-critical applications, potentially across different lines of business. With so many individual pieces working together, the risk of an individual outage, error, or incident affecting other services increases. An incident could be constituted by a user clicking a wrong button, an application’s misconfiguration, or just a bug—you name it.

Episode 9: From cloud migration to real-time analytics | Davey Resource Group

Clinton McFall from Davey Resource Group explores the challenges of cloud migrations and the lessons learned along the way. McFall and his team tackle complex data challenges including client data isolation across large data lakes, managing asynchronous data collection from field technicians and safely leveraging GenAI to explore GIS data in new ways. Listen to learn about how the country’s 8th largest employee-owned company is using data to manage difficult environmental projects.