Systems | Development | Analytics | API | Testing

In today’s fast-paced digital environment, REST APIs have become the backbone of modern application development, powering seamless communication between clients and servers. For developers, understanding how to build efficient and scalable REST APIs is essential. This article unpacks the foundational steps of creating REST APIs using Node.js and Express, offering actionable insights for building dynamic server-side applications.

How does your Shopware 6 store’s PHP backend performance compare to other operators of Shopware in general? To answer this question, we have aggregated and anonymized performance data from over 200 Shopware 6 stores over the second half of 2025 and computed benchmark numbers to compare to for the most important page types: Product details, Category, Search, and Homepage. We previously made these benchmarks for 2025 Q1, and 2025 Q2. Going forward, these will be published every 6 months.

January 28th marks International Data Privacy Day, a day to raise awareness about the importance of privacy and promote best practices. Privacy has long been about maintaining control of your data, in particular where it goes, and who can see it, and what it’s used for. Two topics under this theme, data residency and data sovereignty, come up in almost every customer conversation at the moment. While closely aligned, there are key differences.

For gaming studios, the traditional manual testing and player beta period remains part of QA, but its limitations in the face of modern gaming’s scale and complexity can threaten a brand’s very existence.

For gaming studios, the traditional manual testing and player beta period remains part of QA, but its limitations in the face of modern gaming’s scale and complexity can threaten a brand’s very existence.

Coding with artificial intelligence is not just a nice-to-have; AI applications in computer programming are becoming integral to modern computer programming workflows. Presently, two primary applications dominate the discussions in this area: GitHub Copilot and Cursor AI. While both applications provide faster coding times and fewer bugs, fewer bugs, and smarter code, they offer such features in extremely different ways.

There’s a particular kind of exhaustion that comes with traditional performance testing. You spend weeks building perfect load scenarios, run them overnight and wake up to a wall of red in your monitoring dashboard. Half your day disappears into log files, trying to piece together what went wrong. And just when you think you’ve got it right, a minor UI update breaks everything and you’re back to square one. If this sounds familiar, you’re not alone.

As you build and manage data streams in Confluent Cloud, securing your interactions with its APIs is paramount. Confluent Cloud offers two types of API keys that manage authentication to the different APIs in Confluent Cloud: cloud API keys and resource-specific API keys. Each has its own distinct characteristics and use cases.

AI transforms CI/CD testing from reactive bug detection into proactive quality assurance that accelerates release cycles while improving software reliability. Start embedding AI into your testing workflows now because teams that wait will struggle to match the velocity of competitors who already have. Continuous integration and continuous deployment pipelines have become the backbone of modern software delivery.

Modern AI applications are no longer just about sending prompts to an LLM and returning text. As soon as AI systems need to interact with real business data, internal APIs, or operational workflows, the problem becomes one of orchestration, security, and control. The challenge is to build secure AI agents without embedding fragile logic or exposing sensitive systems directly to a model. This is where a layered architecture using Volcano SDK, DataKit, and Kong MCP Proxy becomes compelling.