Systems | Development | Analytics | API | Testing

Intro to Advanced Analytics | Kong Konnect

In this video, Christian Heidenreich, Product Manager for Konnect Analytics, provides a look into Advanced Analytics in Kong Konnect. Advanced Analytics delivers unparalleled insights into your entire API ecosystem with real-time, context-rich data, empowering both technical and non-technical teams to make informed decisions quickly and efficiently.

Optimizing IoT Protocols for Edge Microservices

Choosing the right IoT protocol for edge microservices can save energy, reduce latency, and improve efficiency. Here's a quick guide: MQTT: Lightweight and energy-efficient, ideal for resource-constrained devices. AMQP: Reliable and secure, great for mission-critical applications but resource-intensive. CoAP: Best for low-power, low-bandwidth devices with minimal energy needs. HTTP/REST: Widely compatible but consumes more energy and bandwidth.

Deploy a Python Flask App to Render with Docker

In this tutorial, we will build a Flask app with Docker, create a background worker with Celery, and use RabbitMQ as the message broker between the two services. This (relatively) simple example will be used to demonstrate how Docker makes it easier to run multiple services and share configuration details between developers. In the last section, we will also build and optimize our app for deployment to Render, so we can avoid some of the common gotchas it is easy to fall victim to along the way!

DIY LLM Chatbot? 5 Reasons to Think Twice and Embrace DreamFactory's MCP

Large Language Models (LLMs) like ChatGPT and Claude have revolutionized how we think about business automation and conversational interfaces. So it’s no surprise that many organizations are considering building their own LLM-powered chatbot. But here’s the truth: creating a secure, scalable, and intelligent chatbot from scratch is harder than it looks.

Insurance Companies: Protect Against Scattered Spider Attacks with Data Masking

Right now, the insurance industry faces an urgent cybersecurity threat: Scattered Spider. The financially motivated hacking group has rapidly shifted its focus after preying on retail companies in the U.K. and U.S. Now, it is targeting insurance companies. The danger is clear. Insurance firms manage exactly what cybercriminals want: vast amounts of sensitive customer data.

Custom Dashboards in Kong Konnect | Part 1

From the high-stakes "war room" where you're troubleshooting an outage to the "boardroom" where you're presenting platform growth, API dashboards give you the critical visibility you need. In this demo, we introduce custom dashboards in Kong Konnect. We'll show you how to build a powerful, tailored dashboard from scratch in just a few clicks—without writing a single line of query language. See how our intuitive, user-friendly interface allows anyone on your team, from developers to non-technical leaders, to get the exact data they need.

The Roadmap for Reducing Technical Debt in 2025

Technical debt is a sneaky hang-up that organizations and teams often ignore until it becomes unmanageable. It creeps in slowly, undermines your team’s productivity, and builds up until your product is hard to maintain and scale. Software systems and development cycles are increasingly being driven and supported by AI, continuous delivery, and cloud-native environments, making it critical to adopt a clear strategy for identifying and reducing technical debt.

Introducing NCM v3: AI-Enhanced Security & Performance for Node.js

At NodeSource, we live and breathe Node.js and are passionate about performance and security. We understand that for developers and platform teams, managing the security and compliance of dependencies is a mission-critical task. However, the tools designed to help can sometimes become part of the problem. Today, we’re proud to introduce NodeSource Certified Modules v3 (NCM v3): a complete rearchitecture of our module scanning and observability engine.

Understanding Stack Traces in Elixir

If you have spent any time working with Elixir in a production setting — or even just building a side project — you've likely encountered a stack trace. Stack traces can appear intimidating at the outset, especially since Elixir's error messages are often more detailed than those in other languages. However, they are a powerful tool for understanding what went wrong in your code. Early in my Elixir journey, I found stack traces to be a bit overwhelming.