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Major Challenges of Designing API-Driven Experience
Organizations can reduce the number of man-hours spent managing and synchronizing servers, increase reliability by eliminating the need to manage multiple gateway instances, govern APIs without the need to build and maintain a separate API management platform, and remove regional gateway replication by using this approach.
Fremont, CA: As more organizations adopt an API-first development strategy to drive more innovation, partnerships, and rich end-user experiences, the increased demand for and consumption of APIs can present its own set of challenges if not properly executed from the start. We see several common issues arise–and often only after the API is rolled out–that negatively impact integrations, future partnership opportunities, and end-user experiences in the midst of the ever-increasing rush to develop and publish an API in order to remain competitive. Continue reading to learn about these common issues and how to overcome them before publishing your next API.
APIs play a critical role as SaaS and mobile application development–as well as cross-software integration and communication–continue to become increasingly important for organizations across all industries to remain competitive today. In fact, APIs now dominate digital experiences, with an average of 220 new APIs published each month, a 30 percent increase over the previous four years.
API gateway at the start of a design project to make sure API-centric operations take place at the edge.
Nothing is more frustrating to a developer than a wildly successful API that can't scale to meet demand.
Addressing scalability early in the process can aid in defining both early adoption, future success, and the API's lifespan. Organizations, on the other hand, frequently overlook the need to manage scalability in a variety of ways, including planning for surges in API traffic and managing the volume of API requests consumers can make, which can result in a poor user experience.
To make sure availability and reliability for consumers, developers should use a combination of load testing, authentication, throttling, quota management, and API caching at the edge to improve as well as predict traffic while preventing infrastructure from being overwhelmed by requests. Early load testing can help a developer determine the traffic volume the application can withstand when there is a surge in requests.
Quota management can aid in the enforcement of business service level agreements and the limitation of the number of API requests that a partner is permitted to make. Any resource accessible via HTTP GET, static data, immutable responses, infrequently altered or predictable responses, and frequently requested data are all good places to start when it comes to API caching.
One of the most difficult challenges in API design is the ability to manage costs, particularly infrastructure costs. We see many common infrastructure approaches that organizations deploy today when designing APIs that result in unnecessary and often unwieldy expenses, ranging from managing multiple gateway servers and instances to building an entire API management program from the ground up.
Using a single gateway to deploy, govern, secure, and deliver global API traffic across multiple data centers is critical to avoiding spiraling infrastructure costs. Organizations can reduce the number of man-hours spent managing and synchronizing servers, increase reliability by eliminating the need to manage multiple gateway instances, govern APIs without the need to build and maintain a separate API management platform, and remove regional gateway replication by using this approach.