Systems | Development | Analytics | API | Testing

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The Critical Role of Testing in Seamless SAP S/4HANA Migration

Organizations must migrate to SAP S/4HANA by December 2027. Using technologies beyond their End of Life (EOL) can lead to operational disruptions, increased maintenance costs, costly support services, security vulnerabilities, and compliance failures, ultimately resulting in higher expenses and diminished customer experiences. This short timeframe requires immediate planning.

How to Turn a REST API Into a Data Stream with Kafka and Flink

In the space of APIs for consuming up-to-date data (say, events or state available within an hour of occurring) many API paradigms exist. There are file- or object-based paradigms, e.g., S3 access. There’s database access, e.g., direct Snowflake access. Last, we have decoupled client-server APIs, e.g., REST APIs, gRPC, webhooks, and streaming APIs.

Build Sustainable Test Suites

High-performing teams don’t have large test suites. They have small, focused test suites. They make the most of their limited resources. Ideally, you would have extensive test suites for maximum coverage. But most teams don’t have the resources needed to maintain that level of tests and evaluate their results properly. @Titus Fortner, Senior Developer Advocate at @Sauce Labs, encourages testers to advocate for themselves and their teams. He says it’s important to call out when the testing managers' requests are unsustainable and instead focus their efforts on what’s most important.

Autoscaling GA: Scale Fast, Sleep Well, Don't Break the Bank

We are thrilled to kickstart this first launch week with autoscaling - now generally available! Our goal is to offer a global and serverless experience for your deployments. Autoscaling makes this vision a reality. Say goodbye to overpaying for unused resources and late-night alerts for unhealthy instances or underprovisioned resources! During the autoscaling public preview, we received key feedback around scaling factors.

Down the AI Rabbit Hole: Leveraging AI in Your Projects Without Ending Up Lost in Wonderland

Generative AI is transforming the world around us, and is quickly becoming a part of the conversation as we greenfield new features and applications. It is very alluring to deliver AI features into our existing products, and think about new projects we might build around AI. However, you might have already found that the journey into the realm of AI often feels like tumbling down the rabbit hole into wonderland - a maze of complexity and uncertainty.

Regex Essentials: Validating HTML id Attributes

When we initially started building our test recorder, we needed a way to validate the id attributes being used on the page. We would sometimes capture an id attribute in a recording, only to find that it failed when we used it in a test, because it didn’t meet specification. For instance, sometimes websites would use an id with a number in front, like this: That is technically invalid, at least in the HTML4 specification.

What is an AI Gateway?

In this session, Marco Palladino, CTO and co-founder of Kong, discusses the importance of AI gateways in supporting the growing demand for AI and API usage. He explains how Kong's AI Gateway simplifies the creation of AI applications by providing a unified infrastructure layer that abstracts common requirements, such as authentication, authorization, traffic control, and observability.

Where Does Data Governance Fit Into Hybrid Cloud?

At a time when artificial intelligence (AI) and tools like generative AI (GenAI) and large language models (LLMs) have exploded in popularity, getting the most out of organizational data is critical to driving business value and carving out a competitive market advantage. To reach that goal, more businesses are turning toward hybrid cloud infrastructure – with data on-premises, in the cloud, or both – as a means to tap into valuable data.