The latest News and Information on API Development, Management, Monitoring, and related technologies.
BigPanda offers a diverse set of APIs to enterprises looking to move faster and scale incident response workflows seamlessly. APIs are core to automating repeated incident response workflows that enable IT Ops to keep up with the pace of change and innovation agile teams need to thrive. In Q4 of 2021, BigPanda announced the general availability of new self-service APIs including an updated Incidents API.
The explosion of talent available for remote work (and the widespread acceptance of remote first employment) allows for global collaboration on an unprecedented scale.
We’ve already outlined why API performance matters and what aspects of APIs to test, but what is the difference between API testing and monitoring? As with most things, context matters. The use cases for testing and monitoring are different because the objectives are different. The ultimate goal is to verify that your APIs are functioning properly, but staging environments vary significantly from production environments.
Learn how AppDynamics can help you proactively monitor the availability and performance of your APIs.
In this blog post we use podtato-head to demonstrate how to load test kubernetes microservices and how Speedscale can help understand the relationships between them. No, that's not a typo, podtato-head is an example microservices app from the CNCF Technical Advisory Group for Application Delivery, along with instructions on how to deploy it in numerous different ways. There are more than 10 delivery examples, you will surely learn something by going through the project. We liked it so much we forked the repo to contribute our improvements.
Digital businesses are making a radical change in the way they build and deliver software. Gone are the days of apps that rely solely on in-house tools. Rather, today’s apps are increasingly dependent on external APIs and third-party app providers (which, in turn, are reliant on other APIs and apps). While this type of modularity allows for product flexibility and rapid development, it can be difficult to address any issues that arise.
gRPC is an open source Remote Procedure Call (RPC) framework developed by Google and released in 2016. Although gRPC is still relatively new, large organizations are adopting it in increasing numbers to build APIs to connect complex microservice meshes that use disparate languages and frameworks. gRPC-based APIs can process requests up to seven times faster than REST APIs, and they also allow customers to easily implement SSL authentication, load balancing, and tracing via plug-in libraries.
In this load test tutorial, you’ll learn how to use Postman for small-scale API testing. You’ll also learn about some shortcomings and challenges of the framework that can be solved by using a tool like Speedscale. Because HTTP services don’t have a graphical user interface, you’re forced to test web APIs by simulating requests from a known client so that you can control the traffic data.
We offer an API that provides direct access to features the platform offer, with each feature providing a set of endpoints to perform operations on resources associated with your account. The StatusCake control panel offers plenty of useful visualisations and alerting systems so you can be in touch with your data, but sometimes we may have use-cases where we would rather leverage the API so in this blog post we’re going to see how we can make use of these endpoints using C#.
For the latest full-stack applications to work, a backend service is required. That is especially true when the frontend service depends on the backend service to render data. In many cases, it can be difficult to replicate the setup of the backend services so that you can test the application. This tutorial will show you how to mock HTTP requests from an API so that you can test endpoints without actually calling them in your tests.
