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
What is the Netflix
Raison d’Être
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
1. Orchestration
Simple example: search
RelatedTerms
People
Titles
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
2. Availability protection
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
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
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 {
return getRatings(id);
} catch (Exception ex) {
//static value
return null;
}
How to handle errors
try {
return getRatings(id);
} catch (Exception ex) {
//TODO What to return here?
}
How to handle errors
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
3. Abstraction
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
Server-side logic
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
What if? Implications for device teams
Network
boundary
Gateway
...and groovy scripts
What if? Implications for device teams
● 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
What if? Implications for service teams
Network
boundary
Gateway
...and client libraries
What if? Implications for service teams
● 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
Where are we going next?
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
...
New architecture: Edge PaaS
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
...
...
Two APIs
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
NodeQuark Platform
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
Developer experience
java
Netflix
Micro-
services
Network
boundary
...
Network
boundary
New architecture: Edge PaaS
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
Remote API
Netflix
Micro-
services
Network
boundary
...
Network
boundary
New architecture: Edge PaaS
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
Greater simplicity
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 autoscaling
API
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
Conclusion
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
END

The new Netflix API

  • 1.
    The new NetflixAPI Why more complexity must lead to more simplicity Katharina Probst DevNexus 2017
  • 3.
    Js (mostly) java Client lib A Clientlib 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
  • 4.
    What is theNetflix
  • 5.
  • 6.
    Is the APIjust one gigantic translation layer? Is it a routing layer? If it’s too complex, can we just get rid of it? Raison d’Être.
  • 7.
    1. Orchestration 2. Availabilityprotection 3. Abstraction Raison d’Être
  • 8.
  • 9.
  • 11.
  • 12.
  • 13.
  • 14.
    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
  • 15.
    Orchestration ● Own orderof 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
  • 17.
  • 18.
    Prevent this asmuch as possible
  • 19.
    What do customerswant? ● 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?
  • 20.
    Top priority: customerexperience ● 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
  • 21.
    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)
  • 22.
    ● Fault-tolerance patternas a library ● Provides operational insights in real-time ● Automatic load-shedding under pressure Hystrix
  • 23.
    Search client lib Clientlib 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
  • 24.
    Search client lib Clientlib 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
  • 25.
    Search client lib Clientlib 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
  • 26.
    Search client lib Clientlib 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
  • 27.
    Search client lib Clientlib 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
  • 28.
    Search client lib Clientlib 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
  • 29.
  • 30.
    try { return getRatings(id); }catch (Exception ex) { //static value return null; } How to handle errors
  • 31.
    try { return getRatings(id); }catch (Exception ex) { //TODO What to return here? } How to handle errors
  • 32.
    Handle errors withfallbacks ● 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
  • 34.
    ● Throttling ● Retries ●Timeouts ● Canaries ● Regional rollouts ● Traffic shifting ● Outlier detection (and elimination) ● Advanced load balancing Availability protection beyond Hystrix
  • 35.
  • 36.
    Abstraction goals ● Shieldall 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
  • 37.
    Abstraction challenges ● Techdebt ● 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
  • 38.
  • 39.
    Client lib A Clientlib 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
  • 40.
    Device teams writeserver-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.
  • 41.
    What if wedidn’t have an API?
  • 42.
    Client lib A Clientlib 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 …
  • 43.
    Client lib A Clientlib 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 ...and groovy scripts
  • 44.
    What if? Implicationsfor device teams ● 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?
  • 45.
    Client lib A Clientlib 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...
  • 46.
    Client lib A Clientlib 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 ...and client libraries
  • 47.
    What if? Implicationsfor service teams ● 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?
  • 48.
    What if? Implicationsfor Netflix ● Lower velocity due to tight coupling between many mid-tier teams and many device teams
  • 49.
    OR: THE DOWNSIDE OFCENTRALIZATION
  • 50.
    Where are wetoday? ● 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
  • 51.
  • 52.
    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
  • 53.
    Where are wegoing next?
  • 54.
    Top priorities ● Movegroovy scripts out ● Split up API
  • 55.
    Client lib A Clientlib 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
  • 56.
    Network boundary Network boundary Netflix Micro- services Network boundary ... New architecture: EdgePaaS 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 ... ...
  • 57.
  • 58.
    DNAClient A ... Network boundary ... Network boundary Two (ormore) 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
  • 59.
  • 60.
    java Netflix Micro- services Network boundary ... Network boundary NodeQuark Platform Network boundary Network boundary Zuul EAS Network boundary Node appNodeQuark 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
  • 61.
    Edge PaaS: NodePlatform ● 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
  • 62.
  • 63.
    java Netflix Micro- services Network boundary ... Network boundary New architecture: EdgePaaS 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
  • 64.
    Edge PaaS: Developertooling ● 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
  • 65.
  • 66.
    Netflix Micro- services Network boundary ... Network boundary New architecture: EdgePaaS 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 ... ...
  • 67.
    Edge PaaS: RemoteAPI ● API still takes care of ○ Orchestration ○ Resiliency protection ○ Abstraction ● Optimized access with Falcor ○ “RESTful composition” with caching ● Binary transport ● Future: channel support
  • 68.
  • 69.
    Isolated failures: Scripts don’taffect each other (usually) API Temporarily unavailable!
  • 70.
    Independent root causing API Latency spikeafter push: 150ms Average latency: 10ms
  • 71.
  • 72.
  • 73.
    Better regression/performance testing API Testsnot affected by other scripts eating up resources on the same JVM
  • 74.
  • 75.
    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
  • 76.