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Service Mocks: Scaling a SaaS Demo with Traffic Replay

Building, running and scaling SaaS demo systems that run around the clock is a big engineering challenge. Through the power of traffic replay, we scaled our demos in a huge way. A few weeks ago we launched a new demo sandbox. This is actually a second generation version of our existing demo system that I built a few months ago (codename: decoy). Because the traffic viewer page shows the most recent data by default, you need to constantly be pumping new data in there. Any type of real-time SaaS system is going to have a similar requirement. So this needs to be planned.

4 Ways to Leverage User Metrics in Moesif

Without users, products mean nothing. So why is it that so many organizations analyze API and user behavior metrics as an afterthought? My theory would be that they just don’t have the right tools in place to actually collect, analyze, and use these usage metrics. With so many products aiming to improve their user experience and customer satisfaction, tools like Moesif are exactly what is needed.

Creating the Ultimate Analytics Stack with Moesif and Datadog

When looking at API analytics and monitoring platforms, many seem to be so similar that it’s hard to figure out the differences between them. We often hear this confusion from users and prospects. In a world with so many tools available, how do we figure out which ones are necessary and which are redundant? One of the most common questions we are asked revolves around how Moesif compares to Datadog and how they could work together.

Kong and Neosec: Behavioral Analytics With Response Automation

The Neosec platform integrates with Kong Gateway Enterprise to provide automated and continuous API discovery, API risk posture alerting and API protection through behavioral analytics and response automation. And it does all that while being out of band, using the logs shipped from Kong to Neosec.

11 Best Practices for Designing RESTful API

Although the RESTful Application Programming Interface (API) was first established in the year 2000, there are currently no set guidelines or standards for API development. Developers have experimented with many methods to improve REST API solutions throughout the years. Some of them were successful, while others were unsuccessful. APIs that are poorly developed is difficult to maintain over time and are prone to failure.

What's New (and Coming Soon) With Insomnia

For those who aren’t familiar with Insomnia, it’s Kong’s API testing, design and debugging platform. Insomnia’s product vision is to optimize API development by simplifying and automating a developer’s workflows. APIOps plays a key role in this vision, optimizing API development by simplifying and automating developers’ workflows.

How to manage your GraphQL APIs with Apigee

Over the past two decades REST APIs have emerged as a lightweight and flexible standard for enterprise data and backends get exposed to external, partner, and internal applications. Google Cloud’s Apigee is a leader in API Management, allowing users to manage REST APIs — define rate limits, enforce authentication and authorization, block clients that attempt to misuse an API, and ensure APIs work seamlessly as they are updated.