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API

The latest News and Information on API Development, Management, Monitoring, and related technologies.

The new Check Overview is now live!

Today, I'm excited to share the release of a long-planned and requested feature - our new Check Overview Page. Until now, Checkly enabled you to troubleshoot single alerts, but a deep dive into the long-term performance trends was limited. That is not the case anymore. In the new Check Overview, we’re introducing the enhanced analytics in four distinct categories: The update is focused on two important outcomes.

Build custom API integrations with incident.io

We’re building incident.io as the single place you turn to when things go wrong. When an issue is disrupting your business-as-usual, the last thing you want is to start opening ten different tools to diagnose and fix it! As your central incident hub, we need to give you two powers: Workflows cover the former. Workflows are like a mini incident.io Zapier.

How to Write a Custom Terraform Provider Automatically With OpenAPI

So you’ve just been tasked with creating a Terraform Provider (or maybe upgrading an existing one). As you do your research to prepare for the project, you slowly begin to realize, “well this looks like I’ll just be developing a Terraform specific wrapper for a client of my API.” It’s not particularly difficult, but it seems tedious. Is there a better way to build this? Maybe something that can be modular and automated? A way that’s actually stimulating to implement?

Accelerate AIOps Scalability With New Self-Service Incidents API

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.

API Testing vs Monitoring: What's The Difference?

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.

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Kubernetes Load Test Tutorial

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.

API Testing: An Introduction

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.