Which programming languages does Datadog support for custom integration?

Datadog supports custom integrations primarily in programming languages that are widely used for backend development and data collection, such as Python, Ruby, Go, and Java. These languages are often chosen for their strong ecosystems, libraries, and frameworks that make it easier to interact with APIs, handle data processing, and manage asynchronous events, all of which are crucial for effective monitoring and observability in applications.

Python is notable for its simplicity and a vast array of libraries, making it a popular choice for creating integrations quickly. Ruby is often associated with web development, providing a robust framework for building applications that can integrate seamlessly with Datadog. Go, known for its performance and efficiency in concurrent processing, is increasingly being adopted for cloud-native applications, making it relevant for integrations that require scalability. Java, being one of the oldest and most widely used programming languages in enterprise environments, is also essential for robust integrations.

The other options listed contain programming languages that are either less commonly used for integration purposes or are focused on different types of applications, which makes them less suitable for the specific needs of Datadog's integration capabilities.