Systems | Development | Analytics | API | Testing

Why Your Kafka Event Streams Need an Event Gateway

*You wouldn't expose a REST API without a gateway. What about Kafka?* You would never expose a REST API without an API gateway in front of it. Authentication, rate limiting, observability, access control — these aren't optional extras. They're mandatory, and we've spent the last decade building the API gateway pattern to solve exactly this problem. So here's the question worth sitting with: would you expose Kafka or any event stream without a gateway?

Starlette vs FastAPI: what FastAPI actually adds

FastAPI has become one of the most popular web frameworks among Python developers. It's so popular that it often overshadows the technologies it's built on. FastAPI is built on Starlette and Pydantic. Starlette handles the HTTP layer (routing, middleware, WebSockets, the ASGI plumbing) and Pydantic handles data validation. FastAPI is the layer on top that ties them together with type-driven parameter parsing, dependency injection, and automatic OpenAPI documentation.

What SmartBear's AWS AI Software Competency means for software teams

AI is changing how software gets built. That raises the bar for every team responsible for keeping it working. SmartBear has been developing AI capabilities across the entire quality lifecycle that help teams deliver software they trust will work at AI speed and scale. Today, SmartBear announced it has achieved AWS AI Software Competency status in the Agentic AI category through the AWS Partner program.

Change Failure Rate (CFR): Formula, Benchmarks & Fixes (2026)

Change failure rate tells you something deployment frequency can’t. Whether the code you’re shipping is actually working when it gets there. Most teams track how often they deploy. Fewer track what percentage of those deployments immediately cause problems. That gap is where CFR lives. A team deploying 50 times a week with a 30% failure rate isn’t performing well. It’s creating problems faster than it can resolve them.

Enforce API Standards with Custom Linting in Kong Insomnia 13

As APIs grow across teams, keeping them consistent becomes difficult. Some APIs follow naming conventions and include clear descriptions, while others don’t. Over time, these differences make APIs harder to understand, review, and maintain. That is where API linting helps. That made it possible to apply custom Spectral rules as part of local development, Git workflows, or CI checks.. Teams can now upload and manage custom Spectral rulesets directly from the Insomnia UI.

How to Proxy Every AI Traffic Pattern Through One Gateway

Production AI no longer generates one kind of traffic. It generates four patterns, and most teams govern only one. **AI traffic management** starts with a single decision: **proxy AI traffic** through one control point instead of letting it flow straight from application code to model providers. Skip that step and security teams have no policy chokepoint, token spend climbs with no meter, and every new provider adds an integration nobody owns.

WSO2 API Platform: Monetize Your APIs With Stripe

See how to set up API monetization in WSO2 API Platform, from connecting Stripe to letting consumers subscribe and pay for API access. This demo walks through the full monetization flow in WSO2 API Platform. You'll start by connecting Stripe as your payment provider, adding your secret key and publishable key from the Stripe dashboard. From there, you'll create a subscription plan, set a rate limit, and choose a pricing model. WSO2 API Platform supports five pricing models: free, flat rate, per unit, volume, and graduated tier. This walkthrough sets up a flat rate plan billed monthly at $12.

Announcing Kong AI Gateway 2.0: Built for the Pace of Agentic AI

We have big news for platform and AI infra teams: *Kong AI Gateway 2.0 is available today in private beta*. It runs on its own dedicated runtime, ships on its own release cadence, and carries a completely reimagined user experience designed around the way teams actually build with AI: models, MCP servers, and agents as first-class citizens, not plugins bolted onto an API gateway.

Kong and ModelOp Partner to Deliver Zero-Trust Security for the Agentic Enterprise

We're thrilled to announce a strategic technology partnership between **Kong** and **ModelOp**. As enterprises rapidly transition into the agentic era, they face a critical challenge: how to deploy AI fast enough to stay competitive without taking on unacceptable regulatory or security risks. Together, **ModelOp** and **Kong** are solving the "last mile" problem of enterprise AI delivery.