Enrique Fueyo Ramírez is the Co-founder and CTO of Lang.ai. Here’s a post on how him and his team at Lang.ai instrumented performance monitoring for GraphQL resolvers.

Collaboration tools like Slack and Teams are here to stay. They’re very much inseparable from the distributed workforce that we all continue to find ourselves in. A robust set of integrations are then an essential part of today's monitoring and observability platforms. Feeding Catchpoint data into your support team via a Slack channel could be the difference between catching a disruption early or having to respond to a full-blown outage.

The HAProxy load balancer provides a set of APIs for configuring it programmatically. Although many people enjoy the simplicity of configuring their HAProxy load balancer by directly editing its configuration file, /etc/haproxy/haproxy.cfg, others want a way to do it without logging into the server. Or, they want a way that integrates with bespoke software. For example, they want to add pools of servers to the load balancer programmatically as a part of their CI/CD deployment pipeline.

Today’s software testing trends show the growing demand for more efficient and automation-oriented API testing. Many of the current test automation solutions focus on the UI, while most API-level testing is still done manually. As a result, testers are in need of easy-to-use, intelligent automation tools for testing APIs — improving their productivity and efficiency, while also reducing time-to-market.

Cloud native API Testing comes with a lot of challenges. In this video see how to overcome these challenges with the novel approach of traffic replay.

Are you looking to benefit from automation but lack the experience to leverage an API? To equip you with the tools you need to start utilizing APIs and automation, we’ve put together these helpful Beginner FAQs covering common terminology, methods, and tools for testing APIs.

In our era of rapid release cycles, engineers make frequent API updates in an effort to constantly improve user experiences. But while updates are designed with user benefits in mind, they can also have the opposite effect — potentially creating new performance issues. Ensuring that your APIs are meeting performance requirements and SLOs as you release new updates is dependent on correctly monitoring API latencies.