The new Netflix API

The new Netflix API
Why more complexity must lead to more
simplicity
Katharina Probst
DevNexus 2017

Js
(mostly)
java
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary API Server JVM
groovy
Network
boundary
Today’s architecture
Network
boundary
Gateway

Is the API just one gigantic translation layer?
Is it a routing layer?
If it’s too complex, can we just get rid of it?
Raison d’Être.

1. Orchestration
2. Availability protection
3. Abstraction
Raison d’Être

Search request → response
● Search services provides related search terms
● Search service provides IDs for videos and people
○ IDs depend on various factors, e.g., different
catalogs in different countries
● For each ID, we need metadata
○ Titles
○ Images
○ Names
○ Ratings
○ etc.
● ..., which depend on
○ Country
○ A/B tests user is in
○ etc.
Response:
❏ Hydrated videos
❏ People names
❏ Query suggestions

Orchestration
● Own order of operations
● Provide whatever info clients/services need
○ From other clients/libraries/services
○ From request
● Merge partial results
● Filter results
● Retrieve more info if necessary
● Support mutations (e.g., profile switch)
● Support complex transactions in a limited way

Prevent this as much as possible

What do customers want?
● No personalized recommendations, or no ability to stream?
● No search, or no ability to continue watching the movie you started last night?
● No cutting-edge A/B experiment experience, or no ability to stream?

Top priority: customer experience
● Top priority of top priority: customer can stream videos
● This means API cannot go down entirely
○ If it does, we have an outage
● But some services are not critical to this mission
○ A/B - if we don’t know what A/B tests you’re in, you can still get the default
experience
○ Search - if you can’t search, you can still browse

Exposure to failures
● As your app grows, your set of dependencies is much more likely to get
bigger, not smaller
● Overall uptime = (Dep uptime)^(num deps)

● Fault-tolerance pattern as a library
● Provides operational insights in real-time
● Automatic load-shedding under pressure
Hystrix

Search client lib
Client lib B
Ratings client lib
Client lib N
Cust client lib
Client lib Z
...
...
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
Availability protection
Search
Ratings
Customers
...
Network
boundary
Gateway
API

Search client lib
Client lib B
Ratings client lib
Client lib N
Cust client lib
Client lib Z
...
...
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
If you don’t plan for failure
Search
Ratings
Customers
...
Network
boundary
Gateway
API

Search client lib
Client lib B
Ratings client lib
Client lib N
Cust client lib
Client lib Z
...
...
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
If you do plan for failure
Search
Ratings
Customers
...
Network
boundary
Gateway
API
No search results >>
no Netflix

Search client lib
Client lib B
Ratings client lib
Client lib N
Cust client lib
Client lib Z
...
...
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
Fallbacks
Search
Ratings
Customers
...
Network
boundary
Gateway
API
Return static or stale
rating

return getRatings(id);
How to handle errors

try {
} catch (Exception ex) {
//static value
return null;
}

try {
} catch (Exception ex) {
//TODO What to return here?
}

Handle errors with fallbacks
● Some options for fallbacks
○ Static value
○ Value from in-memory
○ Value from cache
○ Value from network
○ Throw
○ Code
● Make error-handling explicit
● Applications have to work in the presence of either fallbacks or rethrown
exceptions

● Throttling
● Retries
● Timeouts
● Canaries
● Regional rollouts
● Traffic shifting
● Outlier detection (and elimination)
● Advanced load balancing
Availability protection beyond Hystrix

Abstraction goals
● Shield all device teams from every single mid-tier change … at least for a time.
Allows us to move more independently
● Shield all device teams from every single platform/infrastructure change
● Provide APIs not provided by downstream services
○ Find all movies that...
○ Length of movie
● Implementation flexibility, e.g.,
○ Caching
○ Batch APIs

Abstraction challenges
● Tech debt
● Device teams can have black-box view (“api == cloud”)
● But isn’t the API team the bottleneck?
○ Yes, sometimes. But organizational structure makes this less of a problem
than m mid-tier teams dealing with n device teams
● But: separation of concerns

Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
~2100 active
Network
boundary
Reminder: Today’s architecture
Network
boundary
Gateway
API

Device teams write server-side logic
● Decoupling teams → better velocity
● UI teams are empowered to
○ Change presentation
○ Filter
○ Add users to A/B tests, which then leads to e.g., different layout.

What if we didn’t have an
API?

Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
What if? Implications for device teams
Network
boundary
Gateway
Device teams own
client-side
applications …

Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
Network
boundary
Gateway
...and groovy scripts

● Each device team would have to own
○ Orchestration
○ Frequent dependency updates (currently done (attempted) daily)
○ Implement higher level APIs (all movies that…)
○ Fallbacks and other resiliency protection (e.g., timeouts, retries)
● Recent example
○ Library upgrade caused a lot of NPEs -- why?
○ Worked with team to find out why
○ When fixed, no more NPEs, but instead performance degradation
● Should all teams be dealing with this?

Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
What if? Implications for service teams
Network
boundary
Gateway
Service teams own
services...

Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
scripts
scripts
scripts
scripts
...
scripts
scripts
scripts
scripts
Network
boundary
Network
boundary
Network
boundary
Gateway
...and client libraries

● Can only make breaking changes if all device teams who use their service
upgrade
● Don’t get resiliency protection (e.g., timeouts, load balancing, retries, fallbacks)
unless all device teams who use their service provide it
● Should all teams be dealing with this?

What if? Implications for Netflix
● Lower velocity due to tight coupling between many mid-tier teams and many
device teams

OR:
THE DOWNSIDE OF CENTRALIZATION

Where are we today?
● Principle: don’t repeat logic
○ It’s better to do it once in API than do it n times for n devices.
● Principle is good, but leads to complexity

What complexity
challenges to we have?

Complexity challenges
● Frequent (not always canaried) updates to a critical service in production
● Difficulty of debugging (esp. for groovy script writers)
● Slow server startup times
● Lack of operational insights into script resource consumption
● Difficulty of performance profiling
● Lack of feedback loop
● Decoupled code versioning and transitive dependencies

Top priorities
● Move groovy scripts out
● Split up API

Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Netflix
Micro-
services
Network
boundary
...
Network
boundary
New architecture: Edge PaaS
Network
boundary
Network
boundary
Gate-
way
EAS
Network
boundary Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Titus

Network
boundary
Network
boundary
Netflix
Micro-
services
Network
boundary
...
Network
boundary
Gate-
way
EAS
Network
boundary
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Titus
Edge Auth Service
● Auth
termination
● Centralized
place for
auth
Edge PaaS:
● Platform for node scripts
● Developer tooling for entire SDLC
● Remote API with optimized data access (Falcor)
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...

DNAClient A
...
Network
boundary
...
Network
boundary
Two (or more) APIs
Network
boundary
Network
boundary
Gate-
way
EAS
Network
boundary
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Titus
PB Service A
PB Service B
PB Service Z
...
DNAClient B
DNAClient Z
Shared Client C
Shared Client A
...
PB Client B
PB Client Z
PB Client C
PB Service C
DNA Service A
DNA Service B
DNA Service Z
...
DNA Service C
Shared Service A
Shared Service B
Shared Service Z
...
Split API by
function

java
Netflix
Micro-
services
Network
boundary
...
Network
boundary
NodeQuark Platform
Network
boundary
Network
boundary
Zuul
EAS
Network
boundary
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Titus
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Platform for node scripts

Edge PaaS: Node Platform
● Node apps run in containers on Titus platform
● Node Platform provides
○ Integration into Netflix ecosystem (e.g., discovery)
○ Logging
○ Dashboards, metrics out of the box with option to customize
○ Support for mocking and testing
● Titus provides
○ Scheduling
○ Autoscaling

java
Netflix
Micro-
services
Network
boundary
...
Network
boundary
Network
boundary
Network
boundary
Gate-
way
EAS
Network
boundary
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Titus
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Developer tooling for
entire SDLC

Edge PaaS: Developer tooling
● Command line tool for node apps
○ Setup
○ Starting apps
○ Deploying apps
● Local development and debugging of node apps
● UI for lifecycle management, e.g., version management
● One-click rollouts, one-click rollbacks
● Versioning

Netflix
Micro-
services
Network
boundary
...
Network
boundary
Network
boundary
Network
boundary
Zuul
EAS
Network
boundary
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Node app NodeQuark
Titus
Remote API with
optimized data access
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...
Client lib A
Client lib B
Client lib C
Client lib N
Client lib Y
Client lib Z
...
...

Edge PaaS: Remote API
● API still takes care of
○ Orchestration
○ Resiliency protection
○ Abstraction
● Optimized access with Falcor
○ “RESTful composition” with caching
● Binary transport
● Future: channel support

Isolated failures:
Scripts don’t affect each other (usually)
API
Temporarily
unavailable!

Independent root causing
API
Latency
spike after
push:
150ms
Average
latency:
10ms

Independent insights
API
Average
latency:
50ms
Average
latency:
10ms

Better regression/performance testing
API
Tests not
affected by
other scripts
eating up
resources
on the same
JVM

Complexity and simplicity
● Product has become much more complex
○ Scripts (more scripts, more complex scripts)
○ Features
○ Number of downstream services to integrate
○ More personalization
○ etc.
● Complexity of API service is high → Need to optimize for simplicity
now
○ Process isolation
○ Cleaner developer experience

The new Netflix API

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