Systems | Development | Analytics | API | Testing

In this post, we're going to explore Karpenter, the ultimate solution for Node Autoscaling. Karpenter provides a cost-effective capability to implement your Kong Konnect Data Plane layer using the best EC2 Instances Types options available for your Kubernetes Nodes. See the previous posts in this series for more on Data Plane Elasticity and Pod Autoscaling with VPA, HPA, and Node Autoscaling with Cluster Autoscaler on Amazon EKS 1.29.

In the rapidly evolving landscape of API management, understanding the raw performance and reliability of your API gateway is not just an expectation — it's a necessity. At Kong, we're dedicated to ensuring our users have access to concrete, actionable data to guide their operational and development strategies.

App developers seeking simple login integration often find the IAM landscape daunting. Easier said than done when app developers don't live and breath the intricacies of identity standards. With Asgardeo, we have bridged this gap and offer a smooth experience for developers trying to ship their apps as soon as possible. In this post, let's dig into the newly delivered Login Flow Visual Editor and learn about the thinking behind this new capability and what it has to offer.

Discover Bitrise's new Utilization Insights, a powerful feature enhancing the Insights add-on for optimal mobile development team resource management. It offers comprehensive dashboards on infra usage, workflow counts, concurrency and queues, and billing cycle summaries to improve your resources' management.

With Node.js and Express, you can easily create a JavaScript server. Then the obvious question would be, “Why Typescript?” While JavaScript remains the most popular scripting language, TypeScript emerges as a great alternative when your application becomes more complex or when you collaborate with a distributed team of developers.

What determines the success of an API? A significant part lies in mastering the API lifecycle—from planning to retiring, every step impacts your API’s performance and adoption. The API lifecycle involves several critical stages—planning, designing, developing, deploying, consuming, monitoring, and retiring. Each stage dictates the successful implementation of APIs, including governance models, transparency, and security being crucial throughout.

With more emerging players entering the insurance market and insurance companies recognizing the importance of the digital experience, consumer demands for a connected insurance experience have grown to new heights. For insurance customers, the claims process is a critical moment of truth, making it essential that insurers deliver a hassle-free, seamless experience with faster claims processing and excellent customer service.

The term ‘data persistence’ refers to data that remains available, even when the program that created it is idle, sleeping or unable to open. In many cases, our iOS apps need to provide support around the clock, so we need our data to be ‘always on’ – even when the apps themselves are not.

With all the recent discussion about the use of artificial intelligence (AI) and large language models (LLMS) like ChatGPT, you may think that AI is a new phenomenon. But in fact, the US Department of Defense (DoD) has been investing in AI for more than 60 years.