Systems | Development | Analytics | API | Testing

Exposing and Controlling Apache Kafka Data Streaming with Kong Konnect and Confluent Cloud

We announced the Kong Premium Technology Partner Program at API Summit 2024, and Confluent was one of the first in the program. This initial development was all about ensuring that the relationship between Kong and Confluent — from a business and product perspective — fully represented our joint belief that the world of data streaming and the world of APIs are converging.

Why Your Chatbot Needs AI Testing Services and How to Do It Right

The introduction of ChatGPT and other AI chatbots is altering how businesses interact with their customers. By 2027, one-quarter of all firms are predicted to adopt them as their primary customer service channel, potentially saving 30% on support costs. However, one essential component is required for this efficiency: reliable AI testing services.

Announcing Build Cache Insights Beta

We're excited to announce the open beta of a new feature within Bitrise Insights: Bitrise Build Cache Insights. This enhancement expands on our existing Build, Test, and Git Insights, enabling you to monitor and optimize your remote Bitrise Build Cache performance if you're leveraging Bitrise Build Cache for Bazel or Gradle to speed up your builds and tests. Our mission is to empower you with actionable data, alerts, and customizable dashboards to get even more value from your Bitrise experience.

Navigating the AI Revolution as a Solution Provider

In the evolving business landscape, organizations are relentlessly seeking ways to improve productivity, gain deeper insights from data, personalize end-user experiences and automate repetitive processes. As a result, many of your customers are likely hoping that integrating Artificial Intelligence (AI) will help them master these challenges effectively.

How to develop Fantasy Sports Mobile App like Dream11?

The fondness for Fantasy sports has grown immensely and revolutionized the virtual sports industry through technological advancements in mobile app development services. And, Fantasy Sports Apps like Dream 11 are no exception! According to a report by Straits Research, the global fantasy sports market size was valued at USD 24 billion in 2021 and is estimated to reach an expected value of USD 78.5 billion by 2030. That’s undoubtedly HUGE!

Arazzo Specification GPT

Check out this latest video from Frank Kilcommins, where he introduces our new Arazzo Specification which has just been launched on the GPT store. This GPT is an expert on the Arazzo Specification, ready to answer questions about its use, benefits, and syntax. It can interpret Arazzo documents to aid documentation and code creation, or help craft workflows with existing APIs to elevate consumer experiences.

Delivering a first-class health app with Bitrise: An interview with Maven Clinic

Today's consumers are more health-conscious than ever, leading many to turn to mobile apps to manage their health and well-being on the go. According to Insider Intelligence, over two-thirds of Americans have used a health-related app in the last year. As a result of this shift in behaviour, healthcare providers now have a unique opportunity to reach out to new audiences and form stronger relationships with their customers.

Cash to eCash: A Dive into Digital Wallet App Development

With the world revolutionizing at a fast pace, digital wallets have become the new banking norm, allowing customers to do things on the go. Online transactions have already become an integral part of our lives, rather becoming an an essential aspect, particularly with the acceleration of digital transformation services. Of course, there are many options for making payments online, including digital wallets, bitcoin, online banks, and credit cards.

How AI-Driven Test Automation Enhances Business Efficiency and Reduces Costs

If there was a way to make your software testing faster, more accurate, and much less expensive, wouldn’t that be a game changer? That’s exactly what AI test automation is making possible. Traditional testing methods are slow, tedious, and expensive—especially as software gets more complex. Manual testing is time-consuming, brings errors throughout the process, and is a costly proposition. However, these problems can be overcome with AI-powered automation.