Systems | Development | Analytics | API | Testing

What is the Difference Between Data Compliance and Data Privacy?

When deploying any application that holds customer or user data, both data compliance and data privacy are important areas to consider. Yet these two areas of data management are sometimes misunderstood. This blog post will shed some light on the differences between data compliance and data privacy.

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High Scale Postman Load Testing for Kubernetes

In this Postman load testing tutorial, you'll learn how to run a large scale load test in Kubernetes using your existing Postman collections. Because HTTP services don't have a graphical user interface, it's common to build collections of requests using Postman during the development process. These collections are useful for running quick functionality tests as you develop each endpoint. However, as the service grows you eventually need to test it in a more realistic way with larger volume. This is called a load or stress test. Speedscale is a Production Data Simulation Platform that includes this stress/load testing capability out of the box.

APIs in the Fintech Industry: What You Need To Know

Fintech is the perfect example of how emerging, disruptive technologies are rocking a traditional industry: the banking sector. Fintech, a portmanteau of financial technology, is its own industry, changing the banking world and forcing it to evolve. Most financial institutions are now using some kind of fintech, from simple banking apps to entire platforms aimed at promoting open banking.

Production Data Simulation: Record in One Environment, Replay in Another

Have you ever experienced the problem where your code is broken in production, but everything runs correctly in your dev environment? This can be really challenging because you have limited information once something is in production, and you can’t easily make changes and try different code. Speedscale production data simulation lets you securely capture the production application traffic, normalize the data, and replay it directly in your dev environment.

Denis Magda on Geo-Distributed Apps with Kong and Yugabyte | Kongcast Flash | #KongSummit2022

On this episode of #Kongcast Flash, Denis Magda, Head of DevRel at Yugabyte - introduces his #KongSummit2022 talk: Mission (Im)Possible: Building Geo-Distributed Apps with Kong, Kafka, and YugabyteDB. In this talk, you’ll learn about the fundamental design principles for geo-distributed apps using a Slack-like corporate messenger. And you'll study the principles in practice by building the messenger from scratch with Kong, Kafka, and YugabyteDB.

Why low-code and API development are the perfect match

There is an understated art to building good APIs – ones that are easy to integrate with, have high operational availability, offer readily attainable performance insights, and are easy to maintain. But if you have ever had to build an API from scratch, there is no denying that it is hard – and it gets much more complicated when you aim to deliver a quality API.

Kong Builders- Sep 7 | Kong Hackathon Edition - Mesh & API Automation Hacks

All of September, we will be featuring the Kong Summit Hackathon with a live stream every Wednesday to help you get started with contributing to Kong! In this episode, Kat Morgan will be showing you how to contribute to Kong with #konggateway and #servicemesh and #gitops hack examples.

A Guide to APIs and Data Warehouses

Enterprise data is a valuable asset in today’s digital economy. As a result, companies are always looking to utilize data services to get more out of their valuable data. Two ways that companies can achieve this is through using APIs and data warehouses. Did you know that the global data warehousing market size is projected to reach over $51 billion by 2028 or that the worldwide API management market size is expected to reach over $13 billion by 2027?