Systems | Development | Analytics | API | Testing

The True Cost of Real-Time Data Streaming

Thanks to ever-increasing adoption technologies like Apache Kafka and Apache Flink, the continuous movement and streaming of real-time data has transformed how modern businesses operate… but is the cost of data streaming worth it? From powering personalized recommendations to enabling instant fraud detection, streaming is often seen as synonymous with innovation and competitive advantage. But like any investment, the cost-benefit equation has to make sense.

Process Runner - Excel-Powered SAP Automation

Stop copying and pasting data into SAP. Process Runner turns Excel into your SAP automation powerhouse—no coding required. See how it works: Results our customers see: ✓ 90% reduction in data processing time ✓ Zero coding required ✓ Works in familiar Excel interface ✓ Prevents errors before they hit SAP. If your finance, procurement, or operations teams are drowning in manual SAP data entry, this is for you. Update vendor records, process journal entries, or manage complex data migrations—Process Runner transforms hours of work into minutes.

Lenses 6.1 - Kafka connectivity to your Copilot & self-service data replication

Here at Lenses we’re as always laser-focused on making engineering streaming apps and managing Kafka, not just less stressful, but delightful. 6.1 is another big step forward. It starts with the Lenses MCP Server. It connects your AI assistant such as Cursor and Claude, bringing the knowledge of the internet with the context of your Kafka environment. It has the power to transform the work of engineers building and managing streaming apps.

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.