Systems | Development | Analytics | API | Testing

Ever wished you could save and reuse your API traffic transformations? With Speedscale's new snapshot templates feature, you can! In this demo, we'll walk you through how to: Find and filter API traffic to create a snapshot. Transform sensitive data, like authentication tokens, with templates. Apply those saved templates to new snapshots instantly, saving you time and ensuring consistency. Whether you're looking to automate your testing or handle sensitive data more efficiently, our new templates feature makes it easier than ever to manage your API snapshots.

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents natively on Apache Flink and Apache Kafka. By unifying stream processing and agentic AI workflows, they leverage fresh context to continuously monitor and act on what’s happening in the business. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build agents that automate real-time competitive price matching on sales orders.

Dashboards are great — but what about doing something with that data? In this clip, an agency shares how Databox helps them spot issues early, make adjustments fast, and stay proactive with features like Scorecards, Notifications, and real-time reporting. Your data should help you move, not just measure.

In this 40-minute webinar, jointly presented by LambdaTest and Bitrise, we explored super apps—apps that provide a comprehensive suite of services, from messaging and payments to comprehensive third-party integrations all in one. We talked about their development challenges, the technological advances enabling their rise, and their impact on global markets and consumer behavior. Speakers: Shantanu Wali, Senior Product Manager @ LambdaTest Jeremy Palmer, Senior Product Manager @ Bitrise.

Discover how developers and data teams can build agentic AI applications with the combined power of Google Cloud AI services and Confluent Cloud’s real-time data streaming platform. This video showcases the joint value of integrating Apache Kafka, Confluent Schema Registry, Kafka Connect, and Apache Flink to enable seamless, real-time communication between AI agents. What you’ll learn: With Confluent and Google Cloud, you can go beyond AI experiments to build scalable, enterprise-ready multi-agent systems powered by real-time data.

AI is both brilliant and deeply flawed. On one hand, it can accelerate coding, generate tests, and spark new ideas. On the other, it hallucinates, struggles with context, and sometimes creates more problems than it solves.

This video demonstrates how you can save time and maintain consistency by reusing existing reports to build powerful, customized dashboards. In this tutorial, you'll learn how to: + Add existing reports to your custom dashboards.+ Customize and tweak reports by updating filters to fit your specific needs.+ Adjust time ranges, including syncing with a global dashboard time.+ Quickly build and share insights across teams, turning dashboard creation from hours into seconds.

The growth of APIs, teams, and services often leads to dashboard sprawl, making it difficult to find the information you need when you need it. This video introduces a powerful solution now generally available in Kong Konnect: using labels and taxonomy to organize your analytics dashboards. Learn how to structure your dashboards around common business concepts like team, service name, or environment. This organization, combined with Konnect's universal quick search, allows you to find any dashboard instantly, directly from the top search bar, no matter where you are in the platform.