This document contains information about Altoros Systems and their Chief Technology Officer Andrei Yurkevich. It discusses Altoros' services including Hadoop performance engineering and cloud automation. It also includes details about their global employee size, customers, and partners. Later sections evaluate different cloud platform options and database technologies for building a data analytics prototype within budget and functional requirements.

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Andrei Yurkevich
Chief Technology Officer
andrei.yurkevich@altoros.com

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• Hadoop/NoSQL performance engineering
• Cluster Automation & Server Templates on Joyent, AWS, SoftLayer, Rackspace,
CloudStack and OpenStack using Chef/Puppet, RightScale and SCALR
• 300+ employees globally (UK, USA, Denmark, Switzerland, Norway, Belarus,
Argentina)
• v
Featured customers Partners

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Combinations

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Combinations
15625

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No clear business goals
Big amounts of data
from many sources
Architecture design
The variety of tools
Compatibility of technologies/platforms
Lack of professionals
All features in one release
Budget

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Functional requirements Value Non-functional requirements
The amount of data added daily: 2.5 TB
• Infrastructure-independent
architecture
• Scalability
• Open-source tools
Data type:  raw data
 processed
data
Data storage time:
 raw data
 Processed data
 min a week
 min a year
Response time:
 for building reports based on a
pre-set template
 for building reports for a
custom period of time
 < 30 sec
 < 6 hours
Uptime: 99%
Fault-tolerance: required
Deployment cost per day: < $1,000

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Amazon AWS Joyent Rackspace
Types of a contract On Demand, Reserved,
Spot
On Demand,
Reserved
On Demand
Types of instances
(classified by compute
units)
• General Purpose
• Compute optimized
• Memory optimized
• Storage optimized
• Standard
• High Memory
• High CPU
• High Storage
• High I/O
• General Purpose
Storage options • EBS
• S3
• Low-cost storage
• Network storage
based on ZFS
• Cloud Block
Storage
• Cloud Files
Operating systems Linux, Windows SmartOS, Linux,
Windows
Linux, Windows
A management
console
AWS Console Joyent
SmartDataCenter
Cloud Control Panel
A Cloud API • Command line
interface
• Java, .NET, Ruby
SDK and API
• Command line
interface (CLI)
• Node.js SDK
• REST API
REST API
Regions America, Europe, Asia,
Australia
North America,
Europe
America, Europe, Asia,
Australia
Estimated cost per
month
$18,300 $17,500 $21,350

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a good fit a normal fit a bad fit
Option 2 Option 1
Feature Amazon AWS Joyent Rackspace
Types of a contract On Demand, Reserved,
Spot
On Demand, Reserved On Demand
Types of instances
(classified by compute
units)
• General Purpose
• Compute optimized
• Memory optimized
• Storage optimized
• Standard
• High Memory
• High CPU
• High Storage
• High I/O
• General Purpose
Storage options • EBS
• S3
• Low-cost storage
• Network storage
based on ZFS
• Cloud Block Storage
• Cloud Files
Operating systems Linux, Windows SmartOS, Linux,
Windows
Linux, Windows
A management console AWS Console Joyent SmartDataCenter Cloud Control Panel
A Cloud API • Command line
interface
• Java, .NET, Ruby
SDK and API
• Command line
interface (CLI)
• Node.js SDK
• REST API
REST API
Regions America, Europe, Asia,
Australia
North America, Europe America, Europe, Asia,
Australia
Estimated cost per month $18,300 $17,500 $21,350
Score 1.5 3.5

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Features HBase Cassandra MongoDB MySQL Cluster
License Apache Apache AGPL GPL
Protocol HTTP/REST (also
Thrift)
Thrift and custom
binary CQL3
Custom, binary
(BSON)
JDBC, ODBC
Data model Column family Column family JSON documents Tables
Queries / Query
Language
JRuby-based
(JIRB) shell
Cassandra Query
Language
JavaScript
expressions
SQL
Partitioning
Strategy
Ordered
Partitioning
Random
Partitioning
Sharding by key Partition by key
Replication
between nodes
yes yes yes yes
Replication
between data
centers
no
yes
no
yes
Capability to store
2.5 TB daily
yes yes yes yes
Implementation
Experience
1+ 1+ 2+ 5+
Score 2 3 2 5
a good fit a normal fit a bad fit

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Features HBase Cassandra MongoDB MySQL Cluster
License Apache Apache AGPL GPL
Protocol HTTP/REST (also
Thrift)
Thrift and custom
binary CQL3
Custom, binary
(BSON)
JDBC, ODBC
Data model Column family Column family JSON documents Tables
Queries / Query
Language
JRuby-based
(JIRB) shell
Cassandra Query
Language
JavaScript
expressions
SQL
Partitioning
Strategy
Ordered
Partitioning
Random
Partitioning
Sharding by key Partition by key
Replication
between data
centers
no
yes
no
yes
Capability to store
2.5 TB daily
yes yes yes yes
Implementation
Experience
1+ 1+ 2+ 5+
Deployment cost
per day
$450 $400 $500 $1,500
Score 2.5 4 2.5 0
a good fit a normal fit a bad fit

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Feature HBase Cassandra MongoDB
Replication between data
centers
Asynchronous,
needs testing
Replicas can span
data centers with
synchronous
replication
Not supported
A cluster admin node NameNode Any node mongos process
Implementation
Experience
1+ 1+ 2+
Time spent on inserting
30 MB of data
7 sec 9 sec 20 sec
Deployment cost per day $450 $400 $500
Score 2 2.5 0
a good fit a normal fit a bad fit

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A requirement The prototype features
Storing of 2.5 TB of daily raw data for a week Capable
Storing of 1.5 TB of processed data for a year Capable
Response time for building reports based on a pre-set
template
~25 sec
Response time of less than 6 hours for building a custom
report
~7 hours
Scalability Good
Infrastructure Independence Yes
Using open-source tools For all components
Fault-tolerance Yes
Deployment cost per day < $1,000 ~$600

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Properly visualize and test the
functionality
Detect bottlenecks and change a
technology/tool/database before it
was implemented in the real system
Get a real vision of the final solution
Make sure you stick to the budget
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Andrei Yurkevich
President/CTO
andrei.yurkevich@altoros.com