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API

Kong Demo: Protecting Microservices with Servicemesh

In this interactive demo, we will show how to encrypt and protect all services inside a service mesh using the Kuma Mutual TLS policy. We will then demonstrate how to control traffic permissions among each individual service using the TrafficPermission policy. In addition to security, Kuma provides traffic metrics using Prometheus and Grafana dashboards, as well as traffic tracing (APM) and traffic logging integrated into managed cloud logging and analytics services.

API Load Testing Mistake #5: Not Factoring in External API Calls - @SmartBear Talks

Nowadays, lots of modern API-based applications make calls out to third-party APIs. These APIs can belong to your organization, or they can be located on a partner, customer, etc. side. Today, we will analyze the specifics of calling these APIs during API load testing. Robert Schneider, a software testing consultant from WiseClouds, will help us avoid the mistakes when working with external API calls.

How to Automatically Email Customers When They Approach API Rate Limits using Moesif

Maintaining the performance and reliability of your API platform are two of the most important issues to ensure the continuing success of your product. APIs should run as efficiently as possible, and one way of safeguarding that is to rate limit, or constrain, the number of HTTP requests made in a given time period.

Create Playbooks to Improve Productivity, Scale Customer Relations and Speed Integration

Automating repetitive processes is a key attribute in whole-product design. By combining payload observability with behavioral emails, Moesif is able to make you more productive through sophisticated workflows on many functional, performance and product issues. This article walks through how to set up playbooks that can save you time, resources and energy. We’ve highlighted a small number of key areas where our playbooks can assist you in the management of your product.

Building business resilience with API management

Over the last several years, as digital services and interfaces have become the primary way businesses interact with their customers, maintaining ‘business as usual’ has demanded digital transformation. In difficult times such as these, however, it may be tempting to put digital transformation projects on pause until budget surpluses return. This is a mistake.

API Load Testing Mistake #3: Failing to Explore Multiple Load Generation Scenarios -@SmartBear Talks

Creating an API load test is only one piece of the huge load testing world. Once your test is ready, you need to integrate it into the business process, simulate different load generation scenarios, and analyze the results. Today, we will continue investigating API Load Testing mistakes you can easily avoid. Robert Schneider, a software testing consultant from WiseClouds, will share exclusive insight into load generation scenarios.

API Load Testing Mistake #4: Simulating GUI Security Integrations via API - @SmartBear Talks

Lots of applications nowadays have robust and complex front-end development - user experience becomes so important! That's why, we need to understand how these front-end features and elements work under load. In this interview, we will talk with Damion White, software testing consultant from WiseClouds, and discuss the issues you can face when creating API load tests for such scenarios and how to avoid them.