API platform

An API client is a development tool that makes it easier for producers and consumers to explore, test, and debug APIs. Traditional approaches to calling an API require a significant amount of specialized knowledge; for instance, the API user must know a programming language, understand the API's framework and protocol, and be able to interpret the response. API clients abstract away some of this complexity, lowering the barrier to entry for API-related work and enabling teams to stay focused on big-picture goals throughout the API lifecycle.

API design is the process of making intentional decisions about how an API will expose data and functionality to its consumers. A successful approach to API design hinges on a thorough API definition, which describes an API's surface area in a standardized specification format. The API design process benefits both consumers and producers by ensuring that APIs advance business objectives while remaining easy to use, adaptable, testable, and well-documented. API design should occur early in the API lifecycle in order to achieve alignment among key stakeholders and to help teams identify issues before they become ingrained.

API documentation is a set of human-readable instructions for using and integrating with an API. It includes detailed information about an API's available endpoints, methods, resources, authentication protocols, parameters, and headers, as well as examples of common requests and responses. Effective API documentation improves the developer experience for private, partner, and public APIs, and teams that prioritize API documentation typically see higher rates of adoption, fewer support tickets, and—in the case of public APIs—increased revenue.

API testing is the process of validating that an API is working as expected. API testing can be performed manually on an ad-hoc basis, or it can be automated with a testing tool that executes test scripts at predetermined intervals or in response to events. Traditionally, API testing has occurred at the end of the development phase, right before changes are deployed to production, but an increasing number of teams are running tests earlier in the API lifecycle in order to catch issues as quickly as possible.

API test automation is the process of using a testing tool to programmatically execute API tests at certain times or frequencies, or in CI/CD pipelines. It is particularly important for agile development teams, as it enables them to maintain fast-paced development cycles while continuously and systematically verifying that their API is working as expected. Teams that automate their API tests are able to deliver new features quickly and confidently while conserving bandwidth throughout the API lifecycle.

API monitoring is the process of gathering, visualizing, and alerting on API telemetry data to ensure that API requests are handled as expected. API monitoring plays an important role in helping teams surface API-related issues—such as errors, latency, and security vulnerabilities—before they escalate and negatively impact dependent services, partners, and customers. Whereas API testing is intended to support rapid iteration in the development stage of the API lifecycle, the primary goal of API monitoring is to reduce the mean time to resolution (MTTR) for consumer-facing problems in production.

API observability is the extent to which an API's internal state can be understood through its metrics, events, logs, and traces. This telemetry data can be used to create alerts that will notify teams about concerning issues, and it also facilitates ad-hoc exploration and complex analysis that can guide high-level business decisions. API observability plays a crucial role in helping teams monitor their API's performance, troubleshoot issues, understand usage patterns, and identify opportunities for optimization.

An API catalog is a searchable, highly-organized library of available APIs that makes it easier for consumers to find and use the APIs they care about. Private API catalogs contain every internal API within an organization, which streamlines the API management process by helping teams identify redundant code and follow organization-wide standards. In contrast, public API catalogs connect API producers with third-party consumers, which fosters developer communities, shortens feedback loops, and generates revenue.

API security is the practice of preventing and mitigating attacks that originate at the API level, and it is a crucial pillar of any organization's overall security strategy. APIs not only enable users to interact with applications, but also facilitate communication between their underlying internal services—many of which transmit or store sensitive data. An insecure API can therefore provide an entry point for attackers and seriously compromise an application's security posture.