WELCOME TO TITANIUM OPENSYSTEMS

THE LEAD STORY: You Can Modernize to React, Bootstrap and/or NodeJS Without Tearing Down Your Entire Infrastructure to Bedrock

Common (and mistaken) wisdom would have us believe that a full-blown tear-down and rebuild development death march is the only path to migrate web applications to modern javascript web application technologies (such as React, Bootstrap and NodeJS). While that path my offer an approach to accomplish the desired result, it entails a very high cost in terms of disruption, risk and large up-front expenditures. Can we take a less ugly more strategicpath?

Titanium Opensystems (TOS) has assembled a set of tools, techniques, strategies, and frameworks that together enable a staged migration path to modern React web technologies. There is no need to abruptly dismember existing SQL databases and mid-tier application servers. Instead we may use APIs at each level of web architecture to enable a component-by-component staged migration from old to new. It's a highly flexible approach that can follow various strategies at any pace.

Web and Application Development
TOS has the skills to create unique experiences which will delight your customers with great online user experiences. For the web, TOS creates web-apps using modern JavaScript “Full-Stack” technologies including React, Bootstrap and NodeJS, providing a solid architectural foundation for your web applications. On this foundation TOS builds web apps that are richly interactive, beautiful and very engaging for your customers to view on desktop and moobile devicess.

Cloud Analytics and Big Data -- including Real-time Everything
The world has changed. In today's fast-paced world, the stale and incomplete information of yesteryear (even if it ever was "good enough" then) certainly will not cut it today. The right-now of IOT, Web, and physical world dynamics present an ever-changing landscape of both great opportunities to seize and major perils to negotiate. Leading organizations optimize both using powerful analytics to get the big picture (and the many key small pictures) extracted in real-time from information sources -- everywhere -- from IOT (devices), to the Web to the physical world, to create real-time IoE (internet of everything). So what could your organization do with all-sources (IOT, Web and physical-world) in real-time to single-truth enterprise data and intelligence on tap RIGHT NOW?

Cloud
The cloud provides a path to faster deployment of applications, increased efficiency of your IT staff, better security, and lower costs if done correctly. Leverage TOS expertise in assessing, completing, and supporting the movement of IT to the cloud.

Selected Work

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    EBOOK: Big Data and Analytics Basics
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    OFFSITE REOURCES:
     
    Cassandra RethinkDB Mongodb Hadoop Spark Hive Storm PyMl R
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    WHEN SHOULD I USE SQL RDBMS?
     
    The typical SQL RDBMS isn't suitable for every problem. Consider the 3Vs: Velocity/Volume/Variability. If there is a large amount of any one or more of these, the SQL RDBMS may fail to scale acceptably. Many use cases that are light to moderate on all 3Vs typically perform well given suitable design and deployment. Some use cases may pressure the SQL RDBMS paradigm regardless of scale, e.g.: document data, data with flexible or unpredictable structure. Often a heterogeneous solution may be used for performance reasons--Instagram's db stack includes postgres (over xfs with pgbouncer) and redis.
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    WHEN SHOULD I USE CASSANDRA?
     
    Cassandra isn't suitable for every problem. Its strengths include: flexible data model, scalability, fault tolerance (no single point of failure), and zero downtime. "Cassandra is a highly scalable, eventually consistent, distributed, structured key-value store. Cassandra brings together the distributed systems technologies from Dynamo and the data model from Google's BigTable. Like Dynamo, Cassandra is eventually consistent. Like BigTable, Cassandra provides a ColumnFamily-based data model richer than typical key/value systems...." (quote source here.) Who uses Cassandra? See many listed: here.
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    WHEN SHOULD I USE MONGODB?
     
    MongoDB isn't suitable for every problem. MongoDB would not be the best tool for systems with a very heavy emphasis on very complex transactions such as banking systems and accounting. These systems typically require complex multi-object transactions, at which MongoDB does not really excel. MongoDB offers scalability, indexes, transactions, and full consistency. Data storage is json-style with dynamic schemas. Accordingly, the query language is not SQL but many SQL queries translate easily to MongoDB's document-based query language. Replica sets enable high availability, with automatic failover and recovery of database nodes within or across data centers. Agility is another strong point with big developer productivity gains often reported. And, unlike many NoSQL solutions, MongoDB does support ACID capability to some extent.
  • Typical Old-school Hadoop-only Setup
     
  • Typical Hive (multi-datasource) Setup
     
  • Typical Realtime ML Data Pipeline
     

 

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