Systems | Development | Analytics | API | Testing

For today’s SaaS leaders, accelerating product roadmaps is a top priority. That’s why the most forward-thinking teams are embedding AI-native intelligence directly into the tools and workflows their users rely on every day. Recently, I had the privilege of speaking with product leaders from Tekion, Navan, and ASK BOSCO in ThoughtSpot’s executive masterclass on embedded analytics.

You didn’t miss a requirement. You just built a strategy for the wrong kind of system.

Insurance software systems are getting more complex, with interconnected features and increasing risks. Yet the market demands faster delivery. Speed and Quality in Insurance software testing is now a necessity across the board. If you release too fast without proper checks, you risk system failure. If you test too long, you slow the business down. This raises a simple but critical question: how do you test fast and test right?

Most of the times teams spend their time testing that features work correctly under normal conditions. But do you know what happens when the database goes down,the network goes slow or a third party service stops responding? In this case, resilience testing solves this problem by intentionally breaking parts of your system to see how it responds to it. Instead of only testing perfect scenarios, you find real-world failures like server crashes, network issues and service timeouts.

Today, we’re announcing that Kong has acquired OpenMeter, the open source and SaaS leader for real-time usage metering and billing. OpenMeter’s capabilities will be integrated into Kong Konnect, enabling usage-based pricing, entitlements, and invoicing for APIs, events, and AI workloads. This is a huge milestone for Kong, and we’re excited about what this means for our customers and the future of how you build and scale revenue-generating digital products for the agentic AI era.

Welcoming bots and crawlers to your site is a necessary part of operating any web application or e-commerce store. That relationship turns sour when they engage in excessive behavior and adversely affect the performance for regular users. Our customer Greenstories experienced a 10-fold slowdown in performance and a failure rate of 6% over a few hours when a crawler visited their store and messed with the Shopware cart functionality.

As modern software delivery processes accelerate, QA teams inevitably feel pressure to maintain quality at scale. SeaLights addresses this challenge by providing deep visibility into test coverage across every stage of the software development lifecycle. It helps teams identify untested code changes, optimize execution, and deliver confidence at release time.

We’re excited to announce the release of N|Solid Runtime v6.0.0, the latest evolution of our Node.js runtime and monitoring platform. This release delivers major upgrades to performance monitoring, SaaS connectivity, and Node.js compatibility, ensuring that teams running business-critical applications get the insights, reliability, and efficiency they need at scale.

Continuous integration and continuous delivery/deployment (CI/CD) in API management refers to the automation of building, testing, publishing, and promoting APIs across environments (development, staging, and production) using CI/CD practices. It brings DevOps principles to the API lifecycle, enabling faster and more reliable API releases.

Picture this: You’re a CFO presenting quarterly results to the board. A sharp-eyed member questions a major variance in your forecasting model. You’re ready, you explain that your AI system caught the anomaly early. But then comes the kicker: “How exactly did the AI reach that conclusion?” Suddenly, your confidence wavers. If your best answer is, “I’m not sure, but the algorithm is sophisticated,” you’re not alone, but you’re on thin ice.