Apple Siri's Architecture

Apple siri has evolved many times and each and every time it has managed to bounce back with solid capabilities, sky is the limit and we can only expect some or other kind of improvement in the architecture as the technology evolves. These guys have not given an inch to rivals.

Apple Siri backend runs thousands of services and they are running on equal number of nodes. Siri’s Application data resides in HDFS (Hadoop distributed file system) cluster . Apple have created a proprietary PaaS-like scheduler framework named J.A.R.V.I.S., which allows developers to deploy Siri services in a scalable and highly available manner.

Apache Mesos is the one that Apple Siri is leveraging for backend cluster management, it serves the CPU, Memory and computing resources abstraction very well, to prove the capability, following is the data published by Apache Mesos

Apache Mesos Features

Scalability to 10,000s of nodes
Fault-tolerant replicated master and slaves using ZooKeeper
Support for Docker containers
Native isolation between tasks with Linux Containers
Multi-resource scheduling (memory, CPU, disk, and ports)
Java, Python and C++ APIs for developing new parallel applications
Web UI for viewing cluster state

Incoming corpus, huge text input makes it possible to identify the pattern on the fly and Viterbi algorithm type algorithm can be used .

“If Apple trusts Mesos to underpin Siri — a complex application that handles Apple-only-knows-how-many voice queries per day from hundreds of millions of iPhone and iPad users — that says a lot about how mature Mesos is and how ready it is to make a big impact in companies of all stripes.”
I would love to hear from others to connect the dots and provide their input and understanding.

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