Scaling wix with microservices architecture jax london-2015
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The document discusses the technical architecture of Wix, detailing its transition to a microservices architecture to improve scalability and performance while managing high traffic volumes. It outlines the challenges of a monolithic system and highlights various segments such as editor, media, and public, emphasizing design goals such as availability, speed, and efficient data management. Additionally, it addresses trade-offs related to system complexity and performance, aiming for high service availability and rapid response times.
Scaling wix with microservices architecture jax london-2015
- 1. Aviran Mordo Head of Engineering @aviranm linkedin.com/in/aviran aviransplace.com Scaling with Microservices Architecture and Multi-cloud platforms
- 3. Wix in Numbers Over 72M users Static storage is >2PB of data 3 data centers + 3 clouds (Google, Amazon,Azure) 2B HTTP requests/day 1000 people work atWix
- 4. Initial Architecture Built for fast development Stateful login (Tomcat session), Ehcache, file uploads No consideration for performance, scalability and testing Intended for short-term use Tomcat, Hibernate, custom web framework Lighttpd (file serving) MySQL DB Wix (Tomcat)
- 5. The Monolithic Giant One monolithic server that handled everything Dependency between features Changes in unrelated areas of the system caused deployment of the whole system Failure in unrelated areas will cause system wide downtime
- 6. Breaking the System Apart
- 8. Concerns and SLA DataValidation Security / Authentication Data consistency Lots of data Edit websites High availability High performance Lots of static files Very high traffic volume Viewport optimization Long tail (immutable) Serving Media High availability High performance High traffic volume Long tail (mutable) View sites, created by Wix editor
- 9. Wix Segmentation 1. Editor Segment 3. Public Segment2. Media Segment Networking
- 10. HTML Editor Flash Editor MSM Private Media Public Media Editor Segment Public Segment Premium Services eCommerse List DB App Builder App Store App Market Dashboard Statics/me dia Mailer TimeZone Public HTML API Public API (Flash) MSP Public Server HTML Renderer HTML SEO Renderer Flash Renderer Flash SEO Renderer Sitemap Renderer Robots.txt Renderer User Server Template Viewer ContactsHUB Activit y Site Members Provided Mailing Service Comments Snapshoter User Pref Feed Me Shout-out Hotels PETRI Site Pref Dist LoggerSlicer eCom Renderer eCom Cart eCom Checkout eCom Catalog eCom Orders Payment Facade Account Info HTML API HTML Embeder BlogMobile
- 11. It is all about
- 13. Microservices Guidelines Each service has its own DB schema (if one is needed) Only one service should write to a specific DB table(s) There may be additional read-only services that directly accesses the DB (for performance reasons) Services are stateless No DB transactions Cache is not a building block, but an optimization
- 14. Microservices Tradeoffs Each service has its own DB schema (if one is needed) Gain - Easy to scale microservices based on service level concerns Tradeoff – system complexity, performance Only one service should write to a specific DB table(s) Gain - Decoupling architecture – faster development Tradeoff – system complexity / performance May have additional read-only services that accesses the DB Gain - Performance gain Tradeoff - coupling Services are stateless Gain - Easy to scale out (just add more servers) Tradeoff - performance / consistency No DB transactions Gain - Better DB performance, easier to scale Tradeoff - system complexity
- 16. Editor Server Immutable JSON pages (~3M / day) Site revisions Active – standby MySQL cross datacenters Editor Server MySQL Active Sites MySQL Archive
- 18. Protect The Data DB outage with fast recovery = replication Data poisoning/corruption = revisions / backup Make the data available at all times = data distribution to multiple locations / providers
- 19. Browser Editor Server GCS MySQL Active Sites MySQL Archive Saving Editor Data WixMedia (Amazon) WixMedia (Google) Save Page(s) 200 OK Upload Save Page DC replication Notify MySQL Archive MySQL Active Sites S3 WixMedia (DC-1)
- 20. Browser Editor Server GCS MySQL Active Sites MySQL Archive WixMedia (Amazon) WixMedia (Google) Save Page(s) 200 OK Upload Save Page DC replication Notify MySQL Archive MySQL Active Sites S3 WixMedia (DC-1) Self Healing Process
- 21. No DB Transactions Save each page (JSON) as an atomic operation Page ID is a content based hash (immutable/idempotent) Finalize transaction by sending site header (list of pages) Can generate orphaned pages, not a problem in practice
- 22. 2. Media Segment (WixMP)
- 23. Wix Media Platform (WixMP) Eventual consistent distributed file system (2PB user media files) Dynamic media processing Multi datacenter aware Automatic fallback cross DC Run on commodity servers & cloud
- 24. T Google Cloud Prospero – Wix Media Manager get image.jpg First fallback Second fallback If not in CDN Amazon x36 T x36 T x32 Austin CDN
- 26. Public Segment Roles Routing (resolve URLs) Dispatching (to a renderer) Rendering (HTML,XML,TXT) Public Server HTML Renderer HTML SEO Renderer Flash Renderer Sitemap Renderer Robots.txt Renderer www.example.com Flash SEO Renderer
- 27. Public SLA Our goal: 99% response time <100ms at peak traffic
- 28. Publish Site Publish site header (a map of pages for a site) Publish routing table Publish site header / routes (CQRS) Editor Segment Public Segment
- 29. Built For Speed Minimize out-of-process hops (2 DB, 1 RPC) Lookup tables are cached in memory, updated every few minutes Denormalized data – optimize for read by primary key (MySQL) Minimize business logic
- 30. How a Page Gets Rendered Bootstrap HTML template that contains only data Only JavaScript imports JSON data (site-header + dynamic data) No “real” HTML view
- 31. Offload rendering work to the browser
- 32. The average Intel Core i750 can push up to 7 GFLOPS without overclocking
- 33. Why JSON? Easy to parse in JavaScript and Java/Scala Fairly compact text format Highly compressible (5:1 even for small payloads) Easy to fix rendering bugs and cross browsers issues (just deploy a new code)
- 34. Minimum Number of Public Servers Needed to Serve 66M Sites 4
- 35. Public SLA Be Available 99.999%
- 36. Serving a Site – Sunny Day Archive CDN WixMP Browser http://example.wix.com Store HTML to cache HTTP Request Notify site view LB Public Renderer HTML Resources / Media HTTP Request
- 37. Serving a Site – DC Lost Archive CDN WixMP Browser http://example.wix.com LB Public Renderer LB Public Renderer Change DNS HTTP Request
- 38. Serving a Site – Public Lost Archive Browser http://example.wix.com LB Public Renderer Get Cached HTML Version HTML HTTP Request LB Public Renderer Fallback to 2nd DC
- 39. Living in the Browser CDN WixMP Browser http://example.wix.com LB Public Renderer Editor Pages Fallback JSON / Media HTML HTTP Request Fallback
- 40. Summary Identify concerns and SLA for different parts of the system Build redundancy in critical path (for availability) De-normalize data (for performance) Minimize out-of-process hops (for performance) Take advantage of client’s CPU power
- 42. Aviran Mordo Head of Engineering @aviranm linkedin.com/in/aviran aviransplace.com http://engineering.wix.com http://goo.gl/3xhpNW @WixEng
Editor's Notes
- #9: Editor – Read immediately after write – Small working set Viewer optimize for reads We fight for every ms. Page view = many resource downloading
- #14: Read-only services only if it is part of the same business functionality
- #15: Read-only services only if it is part of the same business functionality
- #17: Immutable data helps handle eventual consistency MySql is a great key-value store Not all data is equal (only 6% of websites are edited 3 months after creation)
- #19: Revision keep data safe from poisoning Pay in storage and management
- #25: We can change the arrows as we want Tech vendor lock is a myth, easy to change the api (small dev effort). Invest in data distribution. Evaluation of new platform starts by putting the data.
- #29: Save pages on JSON Upload to static storage
- #37: Explain what is JSON and what is HTML
- #38: UPS dies, secondary power source connected to the same UPS
- #39: Due to error or bad configuration