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Table of contents As a golden rule of building a developer tool, you should always dog-food your own product. But, how does this work with a monitoring solution 🤔? Doesn’t it create a chicken and egg problem? Checkly uses multiple tools to monitor the platform, and tools from our competitors as well. However, we still dogfood our platform heavily. I believe this is mainly due to our engineers also liking the product and finding it quite easy to monitor their features.
IT automation delivers plenty of excitement for the financial services industry, with its power to make AI even more intelligent, as AI plays a part in today’s automation journeys.
Google Workspace is a robust set of productivity applications with billions of users and millions of paying organizations. These include small mom-and-pop shops and the largest enterprises. Google provides the Google Reports API, “a RESTful API you can use to access information about the Google Workspace activities of your users.” This data is critical for establishing a solid security posture.
When we’re testing our apps, it's a big headache to simulate what the user goes through while steering clear of the more problematic parts of those processes. These parts, often external and beyond our control and responsibility, are usually not the focus of our testing. Think external services, third-party modules, or APIs. Relying on these unpredictable elements for our tests is a no-go. Nor do we want to rework our tests to check internal implementations just to dodge these issues.