Systems | Development | Analytics | API | Testing

Topic & data multi-Kafka governance with your AI-assistant

If you’ve been running Kafka for a while, with any luck you have quite a few engineering teams onboarded, potentially with hundreds or even thousands of applications. Hopefully the Lenses.io Developer Experience platform helped in this adoption. But finding the right balance between governance and openness can be tricky.

Lessons from Banking Transformation's Front Lines

Core Banking and Digital Banking transformations are the highest-stakes projects in finance, yet up to 55% of these programmes fail to meet their objectives, budget, or timelines. The problem is rarely the technology or application itself; it is the Assurance Model failing to control the systemic risk of integration, data, and governance. Testhouse has been embedded in recent large-scale core banking migrations, witnessing firsthand where the critical risks lie and, crucially, how to prevent them.

Top 9 Secure MS SQL Server Integration Platforms in 2025 | DreamFactory

Secure SQL Server integration now powers everything from transactional APIs to real-time analytics. This guide evaluates leading platforms that connect, govern, and scale Microsoft SQL Server across cloud, on-premises, and hybrid estates. We prioritize security, deployment flexibility, and time-to-value—core to DreamFactory’s approach to instant, governed API access for SQL Server and other data sources.

How Much is Manual Regression Costing You Each Quarter?

Manual regression feels simple on the surface. You run your tests again after a code change, check what still works, and you ship. But beneath the surface, it eats time (since manually executing test steps take too much time). It also eats budget, and it quietly slows your release velocity. If you’ve ever thought, “we just need a few days to finish regression,” you’ve likely already paid more than you think. That’s why we created this guide.

The Strategic Value of Agentic QA

As we wrap this blog series, let’s take a step back. We’ve explored how agentic QA systems can support traditional software testing: one assistant, one workflow, one metric at a time. But what does it all add up to? The answer isn’t “more automation.” It’s more visibility, more alignment, and more confidence across the software delivery lifecycle.

Express.js 6 and Beyond: Modernizing the Most Popular Node.js Framework

Express.js, one of the most widely used web frameworks in the Node.js ecosystem, is undergoing a major transformation. Once considered stable but stagnant, Express is now being revitalized with a clear governance model, a renewed focus on performance, and active collaboration from organizations like NodeSource.

Paired Vs Unpaired Test: Definition, Formula, Examples, And Key Differences

In the field of statistics and data analysis, comparing means is a frequent endeavor—whether that means testing the effectiveness of a new drug or analyzing average student scores before and after a training program. In reaching these means accurately, analysts typically use two tests — the Paired t-test and the Unpaired t-test. Although both compare means, they are used in completely different situations. Let’s understand what they are, how they differ, and when to use each.

Announcing WSO2 Identity Server 7.2: Powering the Future of CIAM and Secure AI Agents

We are excited to announce the general availability of WSO2 Identity Server 7.2! This release is a direct response to the massive industry shift toward autonomous artificial intelligence (AI) agents and the growing complexity of business-to-business (B2B) identity. Version 7.2 solidifies our position as a leader in comprehensive customer identity and access management (CIAM) and modern access management by delivering crucial new features that secure your digital future and maximize developer velocity.

The Hidden AI Fragmentation Tax: Why AI Innovation Speed Will Depend on Your AI Program Margins

Everyone's telling you to innovate faster with AI. Move quicker. Ship more features. Deploy more agents. But before we sprint headlong into the AI revolution, we need to have a proper dollars-and-cents conversation that most companies are avoiding. Disclaimer: Statistics cited in this post were reported in the 2025 State of AI Cost Governance Report by Mavvrik. The data is stark: 84% of companies report more than a 6% hit to gross margin from AI costs.