Systems | Development | Analytics | API | Testing

Deciding where to run your enterprise workloads is one of the biggest business decisions you’ll make. That’s because your chosen deployment model influences how you access software and systems, scale your business, and safeguard sensitive data. There are three main deployment methods you need to know about: Self-hosted, on-premises, and cloud. All three models have pros and cons, so it’s important to do your research before investing in new infrastructure and/or services.

If you don't understand how an API works, you can't get the best out of it. That's one problem. The other is that they keep increasing in number, but the quality of the documentation for each of them doesn't. Lack of clear, quality documentation leads to more difficulty for developers, and with more difficulty comes less chance they integrate the API. Which could also be your API. That's where API exploration tools like SwaggerHub Explore come in handy to make this all way simpler.

Load testing is a big category, and how do you even start preparing for it? This post covers it all from planning to implementation.

A crucial part of Kubernetes monitoring is about choosing the right tool and methodology. This post introduces 5 popular options.

At the beginning of 2021, a brand new data team was assembled to build a real-time data platform for Kong’s SaaS platform, Konnect. Our mission is to provide top-notch real-time API analytics features for Konnect customers. V1 platform architecture The initial backend consisted of three main components: an ingestion service to handle incoming telemetry requests, an intermediate message queue, and a real-time OLAP data storage.

In this blog we are going to learn about the technical challenges behind solving GraphQL authorization and how many organizations resolve it today. Then discuss how a Kong / OPA integration can help drive security standards in this space and bring some parity with REST API solutions. Last, we will end with a quick tutorial.