Systems | Development | Analytics | API | Testing

Owning Infrastructure vs Owning Policies: Balancing Engineering Autonomy and Platform Control of APIs

We want our engineering teams to move fast and be agile, yet many organizations confuse ownership of the infrastructure with ownership of the policies. The latter is what engineering teams want to rapidly iterate and develop their APIs. The former is the responsibility of the platform team. In this post, we'll talk about how to empower engineers with a secure API infrastructure strategy. This is part of a series on becoming a secure API-first company.

Kong Konnect Data Plane Elasticity on Amazon EKS 1.29: Pod Autoscaling with VPA

In this series of posts, we will look closely at how Kong Konnect Data Planes can take advantage of Autoscalers running on Amazon Elastic Kubernetes Services (EKS) 1.29 to support the throughput the demands API consumers impose on it at the lowest cost. The series comprises four parts.

Top 5 Data + AI Predictions for Financial Services in 2024

Generative AI tops every list of major financial services trends for 2024. And it’s no wonder — this new technology has the potential to revolutionize the industry by augmenting the value of employee work, driving organizational efficiencies, providing personalized customer experiences, and uncovering new insights from vast amounts of data.

The 5 Key Areas to Optimize Your API Lifecycle

Ever faced frustrating API documentation? Or wrestled with versioning headaches? Or battled integration nightmares? These are just some of the common challenges that plague the API development world. The good news is that there's a better way. By prioritizing five key areas – design clarity, comprehensive documentation, developer empathy, robust security, and automated workflows – you can overcome these hurdles and craft APIs that are a joy to use, maintain, and integrate with.

GenAI Meets AI Data Management: Keboola's Google Cloud Marketplace Debut

Keboola's availability on Google Cloud Marketplace opens up the potential of Google Gemini, allowing users to tackle advanced data tasks in just a couple of keystrokes. This integration marks the next step for AI-powered data processing and unlocks new opportunities for Keboola and Google Cloud users, language model enthusiasts, data scientists, application builders, and data engineers.

Robust JavaScript Error Handling: Best Practices and Tools

By combining custom errors, named functions, and Bugfender, you can create a robust JavaScript error-handling process that allows you to immediately identify the defects of your JavaScript apps. This article shows you some strategies, approaches, and best practices to ensure you create high-quality and high-performing JavaScript applications. Table of Contents.

How to create an Educational App?

Learning is no longer the arduous task that many adults may recollect. In contemporary times, studying has become convenient, allowing individuals to engage in educational pursuits anytime and anywhere using just a smartphone. The education app development sector has evolved into a hub for technological innovations, presenting a substantial niche for business endeavors. Numerous enterprises, including Samsung, Dell, and Fujitsu, are actively investing in the smart education and eLearning sector.

The Rise of ML-Centric Technology Consulting in 2024 and Beyond

Businesses globally are witnessing the transformational impact of applied AI and machine learning (ML) capabilities during this blossoming chapter of the Information Age. Therefore, the demand for niche ML consulting services will continue its robust growth trajectory as we enter the year 2024. An increasing number of enterprises are partnering with ML specialists and boutique tech consultants to craft their AI-driven future.

Overcoming Critical Challenges in Mobile Game Testing

Mobile game testers must consider several aspects when delivering flawless user experiences. Since customers often play across several devices and platforms, consistent experiences aren’t just necessary, they are an expectation. This is what makes mobile game testing different from mobile app testing. Unlike typical apps, mobile game testing is less repeatable and regimented. Unscripted user actions, born out of individual player habits, introduce an element of unpredictability.