Operations | Monitoring | ITSM | DevOps | Cloud

Starting from scratch with synthetic testing of your web properties and APIs can be difficult. Questions like “what should we be testing?” will very quickly become exercises in figuring out “how can we actually do that?” which may involve sifting through various elements of the DOM or JSON responses. But there are shortcuts to synthetic testing mastery!

You’ve optimized your QoS settings, fine-tuned your firewall, and even upgraded your bandwidth, but what happens when your network gets hit with 10x the normal traffic? Will it hold up, or will it buckle under the pressure, leaving your users staring at spinning wheels and timeout errors? If you’re an IT pro, you know outages don’t happen during idle hours. They strike when traffic spikes.

There are few things that can derail developer productivity and undermine your pipeline like a flaky test. Testing is the backbone of a good development process, ensuring that your code is as accurate and usable as possible. When these tests point towards faulty development, the impacts can be significant. This information is predicated on an assumption, however – the assumption that what the test says is accurate.

Reliable, high-performing systems are the lifeblood of modern digital businesses. But it's hard to know where to start, especially when you're a startup with limited resources and a small DevOps or SRE team. Fortunately, effective continuous testing doesn't have to be overly complicated. In this guide, we'll break down the essential components of continuous testing in DevOps, with special attention to the often-overlooked monitoring aspect that can make or break your testing strategy.

Generative AI is quickly becoming ubiquitous in the software development space, with tools like Anthropic’s Claude offering rapid methodologies for code iteration, testing, and deployment. As new solutions, such as MCP (Model Context Protocol), are created to make integration more seamless, enterprises are adopting these AI solutions to optimize their development processes, a familiar challenge repeatedly arises: cost.