API Check Basics
For more information on our API check, view our support documentation: https://support.uptime.com/hc/en-us/articles/360019552700-API-Check-Use-Cases-and-Examples
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The latest News and Information on API Development, Management, Monitoring, and related technologies.
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Ensuring software quality with integration testing
Before the Raygun API limited release last year, we'd been consistently receiving requests for a public API for a long time, to provide a way for our customers to access their Raygun data programmatically. We're now proud to say we're providing a public API with a range of endpoints, but it took us a lot of planning and development to get here! In this post, I'd like to take you back to the beginning of development on our big API project. Specifically, I want to walk through the pivotal decisions we made around testing when we started development on the project, and how (and why) these have paid off.
Parallel Scheduling Is Now GA: Detect Regional Outages Up to 20x Faster
I am happy to announce that Checkly now supports parallel scheduling as a new way to schedule your checks. Parallel scheduling allows you to reduce mean time to detection, provide better insights when addressing outages, and give improved accuracy in performance trends, making it a powerful new feature for all Checkly users.
Never miss an Outage: Improve your monitoring with Checkly's Parallel Scheduling
In this video, you will learn how to leverage Checkly's parallel scheduling feature to simultaneously monitor and test all your essential production targets. This knowledge will help you reduce your mean time to detect outages, assess whether production problems are regional or global, and enhance your monitoring data granularity.
How to Get Started with GoMock
Although GoMock is a simple Golang mock tool, knowing where to start can be a challenge in and of itself, which this post helps solve.
5 ways platform engineers can help developers create winning APIs
Platform engineers can influence API development by following best practices and implementing DevOps design patterns.
Observability with OpenTelemetry and Checkly
Observability isn't just a buzzword; it's a vital compass guiding us through the maze of system health and performance. As we’ve adopted microservice architectures, the ability to know ‘what is currently happening in our system’ has diminished as our operational resilience has increased. We find services scattered among a maze of interconnections and interdependencies. And even the logs that used to guide are now scattered throughout this maze.
How to deal with API rate limits
When I first had the idea for this post, I wanted to provide a collection of actionable ways to handle errors caused by API rate limits in your applications. But as it turns out, it’s not that straightforward (is it ever?). API rate limiting is a minefield, and at the time of writing, there are no published standards in terms of how to build and consume APIs that implement rate limiting.
How to combine Playwright locators to test non-deterministic application flows
Sometimes, applications can behave differently even though your users do the same things. How can you test these non-deterministic flows? Learn in this video how Playwright's "locator.or()" method helps to write tests that can handle different application flows.