Systems | Development | Analytics | API | Testing

Learn how to expose an API orchestration workflow as an MCP server using Kong AI Gateway, configure semantic guardrails, and build an agent with the Volcano SDK. We onboard GPT-4 behind /llm, orchestrate with DataKit, and debug MCP tools in Insomnia—end-to-end without adding server code.

Busie Agentic Driver and Vehicle Scheduling: Intelligent assignment of drivers and vehicles to trips using real-time data on driver location and availability, vehicle utilization, and customer sentiment to optimize efficiency, service quality, and outcomes.

Asking a few questions and dumping data at the end isn’t AI onboarding. It’s lazy. If AI doesn’t actively personalize the product and get users to value faster, it actually hurts trust. Your users notice and they expect more.

If you're spinning up a whole container just for one test, you’re doing it wrong. Old way: Full DB container + pg_restore New way: speedscale + proxymock It records actual DB traffic and mocks it "on the wire." Test smarter, not harder.

RevOps Leaders: How much time does your team spend prepping for forecast calls? If the answer is "too much," you need to see this. Kelley Jarrett, our SVP of Strategy, Operations, and Enablement, is sharing her daily workflow and a hashtag#wowmoment using Spotter.

In this demo, We show how to migrate your API setup from Postman to Insomnia, including collections, environments, and scripts. We cover: By the end, your Postman projects are fully up and running in Insomnia. (edited)

Kafka is powerful—but common Kafka mistakes can quietly undermine performance, reliability, and scalability. In this video, two OpenLogic experts break down the most frequent Kafka anti-patterns they see in real customer environments—and how to avoid them. Based on hands-on experience fixing production Kafka clusters, this discussion covers: If you’re running Apache Kafka in production—or planning to—this video will help you spot Kafka mistakes early and apply proven best practices to build a more stable, scalable event streaming platform.

Apache Kafka is mission-critical for many organizations—but where you deploy it matters just as much as how you use it. In this video, two OpenLogic experts discuss why they increasingly encourage customers to move their Kafka clusters to Kubernetes and utilize the Strimzi operator, and what that shift unlocks from an operational, scalability, and resilience standpoint.

Imagine asking ChatGPT "How are sales right now?" and getting the actual live number from your business instead of a generic answer. We're going to show you how to install the Databox MCP using ChatGPT's Developer Mode, so your GPT stops guessing and starts tracking your real-time KPIs.