Let’s pose a hypothetical scenario. You're the API product owner at the Paris, Texas Regional Airport. You're in charge of two main APIs: Flights API and Scheduling API. Flights API is primarily used by local research institutions that are interested in read-only access to information about departures and arrivals. Scheduling API is primarily used by airline partners who are interested in updating information about their flights and gates.

Kong Mesh 2.7 is here! And with it come a slew of new features to make our simple and powerful enterprise service mesh even easier to use and more powerful for your particular needs. In this blog post, we'll cover the new features and show how Kong Mesh 2.7 can deliver a superior service mesh experience for your organization.

Kong Insomnia 9.0 is now generally available for download. It ships with many new features and improvements — over one hundred improvements in total! This new version of Kong Insomnia also makes it much easier to migrate from other products with a more reliable “import” experience, while improving the speed of using the product and making it more customizable. Let’s dive into all the notable features.

How did the Kong Mesh team design and bring Kong Mesh into Kong Konnect? In this blog post, we’re going to dive into this question to understand what’s going on behind the scenes with Mesh Manager.

At Kong, we take the robustness and performance of our gateway product seriously, dedicating ourselves to maintaining high standards through a robust internal benchmark framework and infrastructure. Our setup includes a dedicated bare metal cluster for running performance tests, seamlessly integrated into our CI/CD process. Moreover, we conduct extensive performance testing for each major, minor, and patch release candidate.

Application programming interfaces (APIs) are everywhere, and they play a role in running nearly everything in our digital-centric lives. Each time we launch a web page or an app on our phone, dozens of API calls are happening in the background to render an experience heavily customized to you. Increasingly, even the everyday items in your home are talking to APIs — from smart speakers like Amazon Echo to appliances, electricity meters, and lightbulbs.

Kubernetes is an open-source container orchestration system for automating deployment, scaling, and management of containerized applications. It groups containers into logical units for easy management and discovery. API gateways sit between clients and microservices. They act as a reverse proxy to accept all API calls, then route and transform requests to appropriate microservice.

While Kubernetes has become the standard platform for container orchestration, managing complex application lifecycles can still be a challenge. That's where Kubernetes Operators and Helm Charts come in. This guide dives into both of these tools to explain what they do, how they're different, and their ideal use cases. Whether you're new to Kubernetes or seeking clarity – this article is here to help!

Stop me if you’ve heard this one before, but there’s a lot of data out there — and the amount is only growing. Estimates typically show persistent data growth roughly at a 20% annual compounded rate. Capturing, storing, analyzing, and actioning data is at the core of digital applications, and it’s critical for both the day-to-day operations and detecting trends, for reporting, forecasting, and planning purposes.