Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
MCP in Kong Konnect
Exploring the power of MCP (Model Context Protocol) but concerned about security and control? This video provides a hands-on demonstration of how you can leverage the robust capabilities of the Kong Konnect platform to protect your MCP endpoints.
Why data and AI strategies must be linked (and how to make it happen)
Discover insights from a recent TDWI expert panel on integrating data and AI platforms.
Quality Assurance Vs Quality Control In Software Engineering
In software product development, many teams tend to ignore quality metrics and focus more on quantity. Such teams face challenges when building for production. They end up pushing to production very low-quality software that is filled with bugs. These bugs alone irritate and drive away product users. In 2022, research done by the Consortium for Information and Software Quality (CISQ) revealed that the cost of poor software quality in the US has grown to at least $2.41 trillion.
Manager's Guide to Flaky Test Management
You're in the Sprint Review, and the team is feeling pretty good about the new feature, it’s done, the CI (Continuous Integration) pipeline is green, and they have a Friday release planned. Things are going according to plan. Then something worse happens. A test fails. But no one has an explanation. It passed yesterday. It works on my machine. Perhaps it is just the test environment again? You rerun it; green. Rerun it; red. The inconsistency starts introducing doubt. Is it an actual problem?
Building Trust in AI Agents Through Smarter Testing
As Artificial Intelligence (AI) becomes deeply embedded in decision-making across fraud detection, chatbots, and virtual assistants, trust in AI agents is now critical. Users and stakeholders need clear assurance that these systems will behave fairly, clearly, evidently, and reliably in all situations. However, building that trust does not happen by chance; it requires smarter testing strategies specifically designed for the non-deterministic and robust nature of AI.
Don't Boil the Ocean: How to Offer BI as a Service the Easy Way #agencylife #clientreporting
You don’t need a massive overhaul to start offering BI as a service. Start small, deliver value fast, and give clients clarity -- not complexity. Databox is Modern BI for teams that need answers now. It offers the best of BI, without the complicated setup, steep price, or long learning curve.
Why Your REST API Is Sabotaging Your Analytics Strategy
Your customers want dashboards and real-time analytics from your data. You’ve built a REST API thinking you’re providing great data access. But there’s a fundamental architectural mismatch creating hidden friction.
Embedded Analytics ROI: Quantified. Visualized. Justified.
Most companies wait for perfect data before investing, but by then, it’s too late. In this video, you'll discover how to model real, measurable gains from embedded analytics, whether it’s saving time, reducing churn, or boosting engagement. Learn how small efficiency improvements compound into big results and why early investment in analytics helps teams build stronger, more resilient products. See how to quantify value, justify spend, and move faster with confidence.
Ensuring Data Consistency in Sharded APIs with High Latency
When dealing with sharded APIs, scaling is easier, but maintaining data consistency becomes a challenge, especially in high-latency environments. Here's the core problem: as data gets spread across multiple shards (or databases), operations like updates, reads, and transactions can lag or fail, leading to stale data, conflicts, or inconsistent states. This is especially problematic for critical applications like financial systems or e-commerce platforms.