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Riak & Riak CS

Riak & Riak CS

Enterprise Grade NoSQL Distributed Data Store and Cloud Storage Solutions.

Pavan Venkatesh

May 30, 2013
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  1. AGENDA •  Riak Overview •  Riak Architecture •  Use Cases

    •  Riak EDS •  Riak CS •  Q & A
  2. About Basho Our Mission is to Be The Leader in

    Distributed Systems •  Founded January 2008 •  115+ employees •  Headquartered in Cambridge, with regional offices in San Francisco, Washington DC, London and Tokyo •  Makers of Riak- A popular distributed key- value store •  Thousands of Users Worldwide including over 20% of the Fortune 50 •  30,000+ downloads per month now up from 19,500 in Dec 2011 •  Strategic Partners include Citrix, IDC Frontier, Yahoo! Japan, and Microsoft
  3. Riak •  Master-Slave architecture •  Application sharding •  Distributed model

    •  Active-Active with write scalability •  Active-Passive Say “NO” to Say “Yes” to
  4. Key-Value Data Model •  Keys are grouped into buckets. • 

    All data (objects) are referenced by keys •  Object is composed of metadata and value Object/key Operations KEY VALUE KEY VALUE KEY VALUE bucket
  5. Masterless & Highly Available Any node can serve client requests

    Fallbacks are used when nodes are down Always accepts read and write requests Per-request quorums
  6. Consistent Hashing & The Ring •  160-bit integer keyspace • 

    Divided into fixed number of evenly-sized partitions •  Partitions are claimed by nodes in the cluster •  Replicas go to the N partitions following the key 32 partitions N=3 node 0 node 1 node 2 node 3 hash(“product/iphone”) 2160/4 2160/2 0
  7. Failure Scenario •  Node fails •  Requests go to fallback

    nodes hash(“product/iphone”) node 0 node 1 node 2 node 3 X X X X X X X X
  8. Hinted Handoff •  Node comes back •  “Handoff” - data

    returns to recovered node •  Normal operations resume hash(“product/iphone”) node 0 node 1 node 2 node 3
  9. Riak’s core capability Fault Tolerant All nodes participate equally (no

    SPOF) All data is replicated (n=3 by default) Cluster transparently survives node failure & network partition
  10. Tunable Consistency •  n_val - number of replica to store;

    bucket-level setting. Defaults to “3”. •  w - number of replicas required for a successful write; Defaults to “2”. •  r - number of replica acks required for a successful read. request-level setting. Defaults to “2”. •  pr, pw & dw • Tweak consistency vs. availability
  11. Two APIs HTTP (just like the web) Protocol Bu"ers (thank

    you, Google) Client Libraries Ruby, Node.js, Java, Python, Perl, Erlang, PHP, C, Scala, Haskell, Lisp,.NET, Play, and more (supported by either Basho or the community).
  12. Riak Backend • Riak has a pluggable backend architecture • Bitcask, LevelDB

    are used the most in production depending on use-case • All writes are appends to a file • This provides crash safety and fast writes
  13. Accessing Data in Riak Retrieving Single Objects •  Support for

    retrieving the object associated with a particular bucket / key •  Support for retrieving all of the keys associated with a particular bucket Object/Key Operations Collecting, Parsing, and Storing Data •  Distributed, full-text search engine with an easy-to-use query language, a Solr-like HTTP interface and a Apache Lucene-style query syntax •  Support for a wide variety of mime types, including JSON, plain text, XML and Erlang) •  Ideal for indexing JSON documents, as indexes are built automatically from a schema. Riak Search Seeking Reverse Lookups on Data Stored •  Provides the ability, at write time, to tag an object stored in Riak with one or more values (key/value metadata), which can then be queried •  Useful for finding data that is based on terms other than an objects’ bucket/key pair, or for adding metadata values to a binary object or opaque blob Secondary Indexes (Riak 2i) Processing a Large Dataset •  Provides the general ability to analyze and aggregate data in phases with data locality •  Features Javascript support and Erlang for performance benefit MapReduce Riak Search and 2I Query Results Can be Used as an Input to MapReduce
  14. Always-Available Scale-Out Fast Ultra-Low Latency Any data types Programmer ease-of-use

    Riak Technical Architecture Riak Clients! (Ruby, Java, Node.js, PHP, .NET, etc)! Webmachine! (HTTP)! Protocol Buffers! (Binary, Persistent Connect)! MDC Replication! * Riak EnterpriseDS Only! Riak SNMP / JMX! * Riak EnterpriseDS Only! Riak KVS" (with 2i, " MapReduce)! Riak Search" (Distributed, Full- Text)! Riak Pipe" ! Riak Core" (Ring Management, Partitioning, Anti-Entropy, Replication, Version Control)! Pluggable Storage Backends! Bitcask! LevelDB! Riak Control!
  15. What Riak Isn’t •  NOT Relational •  No fixed schema

    •  NOT Right for Every Project •  Large Objects (Riak CS is a good fit here) •  Dynamic Queries(SQL)
  16. Ideal Riak Scenarios •  When you have enough data to

    require >1 physical machine (preferably > 4) •  When availability is the top requirement •  When your data can be modeled as keys and values When to Use Popular Use Cases •  Ad Networks •  Digital Media •  On-Line Games •  Social Networks •  Social Analysis •  Cloud Operators •  Messaging Services •  Product Catalogs •  Document Management •  Health Care Information Management
  17. Riak Production Users- growing & growing …. Mobile, Retail &

    Social Cloud Computing & Advertising Security and Others Gaming, Payments and Others
  18. Web / Mobile App Growth Case Study for Top Rated

    Apple App Store App •  #4 most popular Apple App Store Social Networking App at EOY behind Facebook, Skype and Twitter •  Truly Viral Growth: Scaled 10x between Thanksgiving and New Years Day •  Required scaling across multiple IaaS / hosting providers •  Surpassed one billion operations per day
  19. Mobile-to-Mobile Content Store Bump – Low Latency and Always Available

    •  800 million pieces of structural data in Riak, including Photos, Chats, and Contact Cards. •  10 million active users •  77 million downloads to date •  Switched to Riak in August 2011 •  #7 Most Downloaded iPhone App
  20. Enstratus •  It is a cloud infrastructure management solution for

    deploying and managing enterprise-class applications •  Moved from MySQL to Riak. Reasons- •  Write Scalability •  Resilience to failure across multiple datacenters •  Stores machine and state information, and data supporting analytics and audit control. •  George Reese gave an excellent talk during Ricon last year, link below http://vimeo.com/54887751 “As I’ve looked at a number of problem domains from customers and our own systems, you see this pattern where a relational database has been used just because it’s the default… and the reality is that more of the world is eventually consistent than not”, said George Reese, CTO of enStratus
  21. Riak MDC- (EDS) Cloud Mobile Social Data Center #2 Data

    Center #3 Data Center #1 Multi-Data Center Replication Applications, Users and Machines Generate Data 1 2 Riak Stores and Manages Data Efficiently and Effectively •  Clusters are local to regional users to solve latency •  Replication is uni-directional, remote clusters can be setup to replicate data back to a primary cluster, thus synchronizing bi-directionally. •  Easily deploy in many regional zones •  Write everywhere solution •  Easy to scale, can easily add additional data centers
  22. Multi-Device Session Store Case Study Showcases Seamless User Experience The

    Global Session Store Manages a Seamless User Session throughout a Customer’s multi-mode experience, from Web to device Philadelphia Data Center Denver
  23. Backups •  Bitcask and LevelDB are both Log-structure stores; cp,

    rsync, tar, custom backup tools will work •  FS-level snapshots of directory can be done while node is running •  Backups aren't yet perfected and that future releases will have more efficient, specialized backup methods for each backend
  24. Stats and Monitoring (1) • Riak exposes data about current operating

    status (counters, histograms, etc.) via the HTTP /stats endpoint or ‘riak- admin status’ • Anything that speaks HTTP can be plugged into Riak • Plugins exist for most OSS monitoring tools (munin, cacti, nagios, graphite, statsd)
  25. Stats and Monitoring (2) •  ‘riaknostic’ is a suite of

    diagnostic checks that can used to debug your cluster before it’s in production; checks for common misconfigurations •  Riak Control is a full-fledged management GUI that Basho develops and maintains.
  26. Riak 1.3 – GA Now •  Active Anti Entropy • 

    Replication enhancements for MDC •  IPv6 support •  New Look for Riak Control
  27. What is Riak CS? Key features: •  Multi-Tenant support • 

    User Authentication and Authorization •  Amazon S3 API-compatibility •  Per-Tenant visibility •  Provisioning, Metering, Billing and Reporting •  Multi part upload up to 5TB
  28. Reporting Large Objects AuthZ Riak CS Use Cases Storage for

    Cloud Computing S3 Without AWS Cloud Drive (General Content Storage) Backup-as-a- Service Archival and Preservation Integration with Workflow Multi-Tenancy
  29. Multi-Datacenter Replication •  Global information for users, buckets and manifests

    is streamed in real- time •  Objects are replicated in full or real- time sync mode •  If a client requests an object from a site but not all of the blocks that constitute that object have been replicated to that site, missing blocks will be requested and streamed from the “origin” cluster How It Works
  30. Riak CS Roadmap •  Swift API •  Keystone Integration • 

    S3 Features •  COPY Object •  Object Versioning •  Cloud Stack Integration
  31. Riak 1.4 (Roadmap) •  Dynamic Ring Sizing •  2i Pagination

    •  Performance and Scaling Improvements
  32. Riak EDS or CS Does data unavailability costs thousands of

    $/minute? Riak EDS (Enterprise Data Store) Do you want to build a cloud storage service for your business? Riak CS (Cloud Storage)
  33. Basho’s Product Family Distributed Data Technology is Our Passion EnterpriseDS

    Open Source Distributed Database Commercial Distributed Database Distributed Cloud Storage Platform •  Always-available, scalable, low-cost NoSQL database •  Over 35,000 Downloads per Month •  Thousands of users worldwide •  Available Since Sept 2009 •  Version 1.0 unveiled September 2011 •  Subsequent versions released along side Riak EDS •  Adds multi-data center replication, monitoring & 24x7 support •  Requires commercial contract and secure download •  Version 1.1 launched with Riak Control in Feb 2012 •  Version 1.2 launched in August 2012 •  Version 1.3 launched in February 2013 • Expands with multi- tenancy, large object support, metering and Amazon S3 API • Launched on March 27, 2012 • Used by multiple global cloud operators • Software released to open source on March 20th