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Beyond REST:

Coursera’s API Evolution
Bryan Kane
! @bryanskane
" bryan-coursera
Problems
• Number of courses grew rapidly
• Product needs changed:
• premium course certificates
• specializations
• multi-university collaborations.
• Growing size of engineering team
Scale matters!

In many dimensions

• Queries per second
• Data set size
• Engineers
• Types in ontology
Transition to Microservices
Performance Requirements
• Minimize data transfer across the network
• Minimize round trips
Nice-to-have’s
• Caching
• ETag & Conditional Request Support
• Binary Serialization
Experience-based
APIs
Queryable

APIs
Relational Algebra Meets

REST/JSON APIs
Projection: filter fields in response
Selection: filter items in a collection
Joins: related resources
https://api.coursera.org/api/courses.v1?q=slug&slug=machine-learning

response:
{
"elements": [
{
"courseType": "v2.ondemand",
"id": "Gtv4Xb1-EeS-ViIACwYKVQ",
"name": "Machine Learning",
"slug": "machine-learning"
}
],
"linked": {},
"paging": {
"total": 1
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning"
}
https://api.coursera.org/api/courses.v1?q=slug&slug=machine-learning

&fields=primaryLanguages

response:
{
"elements": [
{
"courseType": "v2.ondemand",
"id": "Gtv4Xb1-EeS-ViIACwYKVQ",
"name": "Machine Learning",
"slug": "machine-learning",
"primaryLanguages": ["en"]
}
],
"linked": {},
"paging": {
"total": 1
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning",
"fields": "primaryLanguages"
}
https://api.coursera.org/api/courses.v1?q=slug&slug=machine-learning

&fields=instructorIds&includes=instructorIds

response:
{
"elements": [
{
"courseType": "v2.ondemand",
"id": "Gtv4Xb1-EeS-ViIACwYKVQ",
"name": "Machine Learning",
"slug": "machine-learning",
”instructorIds": [1244]
}
],
"linked": {
"instructors.v1": [
{
"id": 1244,
"name": "Andrew Ng"
}
]
},
"paging": {
"total": 1
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning",
"fields": "instructorIds",
"includes": "instructorIds"
}
https://api.coursera.org/api/courses.v1?q=slug&slug=machine-learning

&fields=instructorIds,instructors.v1(title)&includes=instructorIds

response:
{
"elements": [
{
"courseType": "v2.ondemand",
"id": "Gtv4Xb1-EeS-ViIACwYKVQ",
"name": "Machine Learning",
"slug": "machine-learning",
"instructorIds": [1244]
}
],
"linked": {
"instructors.v1": [
{
"id": 1244,
"name": "Andrew Ng",
"title": "Associate Professor, Stanford University;
Chief Scientist, Baidu;

Chairman and Co-founder, Coursera"
}
]
},
"paging": {
"total": 1
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning",
"fields": “instructorIds,
instructors.v1(title)",
"includes": "instructorIds"
}
0
200
400
600
800
Controllers vs Naptime Resources
Controllers
Resources
Naptime Key Learnings
• Leverage type safety, carefully
• Collections of Key-Value pairs
• Opinionated framework improves communication
Principle:

Optimize for developer productivity.
context.executeAction(setCourseIdentifiers, {courseId, courseSlug});
context.executeAction(loadMembership);
context.executeAction(getCurrentSession, {courseSlug});
context.executeAction(loadCourseSchedule, {courseId});
context.executeAction(initProfileStore, {authenticated, courseId, externalId, userId});
context.executeAction(loadCourseViewGrade, {userId, courseId});
context.executeAction(loadDomains);
context.executeAction(loadUserGroupsForCourse, {courseId, userId});
context.executeAction(getReferencesList, {courseId});
context.executeAction(loadHonorsUserPreferences, {authenticated});
context.executeAction(loadCertificateData, {courseId, userId});
context.executeAction(loadVerificationDisplay, {authenticated, userId, course, s12n});
context.executeAction(getHomeProgress, {authenticated, courseId});
context.executeAction(getProgress, {authenticated, courseId, userId});
Imperative Data Fetching Declarative Data Fetching
api.loadCourses().then(courses => {
const courseIds = courses.map(c => c.id);
api.loadCourseMemberships(courseIds)
.then(courseMemberships => {
this.setState({
courses,
courseMemberships
});
});
});
render() {
if (this.state.courses &&
this.state.courseMemberships) {
return <div>{courses}</div>;
}
}
const Component = ({courses, memberships}) => {
return <div>{courses}</div>
}
Naptime.withData(Component, ({courseId}) => {
courses: CoursesV1.getAll(),
memberships: MembershipV1.byCourse(courseId)
});
NaptimeStore: {
"courses.v1": {
"69Bku0KoEeWZtA4u62x6lQ": {…},
"0HiU7Oe4EeWTAQ4yevf_oQ": {…},
"5zjIsJq-EeW_wArffOXkOw": {…}
},
"instructors.v1": {
"v9CQdBkhEeWjrA6seF25aw": {…},
"QgmoVdT2EeSlhSIACx2EBw": {…}
}
}
Global ID:

"courses.v1/69Bku0KoEeWZtA4u62x6lQ"
Problems remained

• There are always going to be edge cases
• Feature prioritization requires careful balance
• Don’t underestimate the power of Googleability
GraphQL Query:
query {
CoursesV1Resource {
slug(slug: "machine-learning") {
id
}
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning"
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning",
"fields": "primaryLanguages"
}
GraphQL Query:
query {
CoursesV1Resource {
slug(slug: "machine-learning") {
id
primaryLanguages
}
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning",
"fields": "instructorIds",
"includes": "instructorIds"
}
GraphQL Query:
query {
CoursesV1Resource {
slug(slug: "machine-learning") {
id
instructors: instructorIds {
id
}
}
}
}
request endpoint:
/api/courses.v1
request query parameters:
{
"q": "slug",
"slug": "machine-learning",
"fields": "instructorIds,

instructors.v1(title)",
"includes": "instructorIds"
}
GraphQL Query:
query {
CoursesV1Resource {
slug(slug: "machine-learning") {
id
instructors: instructorIds {
id
title
}
}
}
}
Edge Tier
GraphQL
Assembler
Profile
Service
Enrollments
Service
Catalog
Service
Edge Tier
GraphQL
Assembler
Profile
Service
Enrollments
Service
Catalog
Service
Key Lessons Learned
Carefully understand your problem
Look to theory: stand on the shoulders of giants
Plug into the ecosystem
Naptime is developed in the open
https://github.com/coursera/naptime
Thank you!
Thank you!
Bryan Kane
! @bryanskane
" bryan-coursera

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Beyond REST - Coursera's API evolution