How to combine your enterprise data with generative AI.

Streaming analytics is an invaluable capability for organizations seeking to extract real-time insights from the log data they continuously generate through applications and cloud services. To help our community get started with streaming analytics on AWS, we published a piece last year called An Overview of Streaming Analytics in AWS for Logging Applications, where we covered all the basics.

In the rapidly evolving world of API management, the conversation around "the great unbundling of API management" has recently gained traction. This movement, highlighted by industry experts and analysts, including a recent Forbes article, reflects a shift towards a more componentized approach in API tooling offerings. Such an approach caters to the enterprise's specific needs, moving away from the traditional "does-it-all" solutions.

A lot of the buzz around AI focuses on its future potential. And we get it — we’re talking about a transformative technology that presents seemingly limitless possibilities. But an important aspect of this world-changing tech story that gets lost in the hype is understanding exactly what AI solutions are available for you and your team to employ right now, today.

This article explores how integrating customer data across various platforms can significantly enhance the customer experience. It discusses practical methods and the benefits of a unified data approach.

Jitterbit is an all-in-one integration platform that serves a variety of use cases – including API Gateway, API manager, iPaaS (Integration Platform as a Service), ETL (Extract, Transform, and Load), and more. Integrate.io is a cloud-native unified data stack that has four major components: ETL/Reverse ETL, ELT (Extract, Load, and Transform) and CDC (Change Data Capture), API Generation, Data Observability Monitoring and Alerts.

In today’s rapidly evolving software development landscape, the dependability and functionality of web applications are really important. When used in conjunction with Python, Selenium presents a sophisticated answer to many urgent issues faced in the test automation area. It effectively tackles the need for swift, consistent, and precise testing of web applications across various browsers and environments.

Two months into 2024, I’ve decided to summarize the achievements in the Node.js space from 2023. As always, this list is curated by me, so I may overlook some pull requests due to the vast amount of work completed by Node.js collaborators and areas where I need more context, such as WASI. Node.js is rapidly evolving, and it can be challenging for regular users to stay updated with the latest changes. Even as someone who works on the project, it’s possible to overlook certain commits.

Seeking to enhance your API operations? Delve into the world of API management, where securing, optimizing, and maximizing the potential of your API inventory becomes clear. Uncover the significance of API gateways, grasp the nuances of lifecycle management, and learn strategies to maintain uptime and performance. Ideal for those looking to tighten security, increase efficiency, or generate revenue through API management, these insights are designed to be practical and straightforward.

By 2030, the value of the Generative AI (Gen AI) sector is expected to grow to USD 110.8 billion. GenAI is predicted to be responsible for 10% of all data generation by 2025, a stark increase from under 1% in 2021 – Gartner.