Utilizing MongoDB to Streamline CMS

Content Management Systems have evolved over time. Earlier version of CMS didn't allow application scaling for exponential data growth.

Santa Clara, CA (prHWY.com) February 6, 2013 - Content Management Systems have evolved over time. Earlier version of CMS didn't allow application scaling for exponential data growth. Content are becoming richer and users need the flexibility of uploading it on system. For an IT company is similar setup, it gets challenging to maintain the velocity of growing data. Application faces performance issues. In such case, organization has to resort to a scalable database platform for managing existing CMS framework.

What are the challenges that hit the organization as a whole? When users' accesses the system for performing operations like create, read, update or delete, system response is slow. This is sure to eat up time of system users significantly. When the frequency of data update is as high as 10 million updates per hour, organization will run into challenge of declining productivity. Such platforms really incur high maintenance cost.

IT companies with large client base has to ensure prompt system response while ensuring a pleasant user experience. If users find the system unresponsive, they may over course of time not take due care to update the document version on the system which can mean loss of valuable digital asset for the organization. In case of 30 million inserts per hour implies managing a database as big as 150GB per day. This boils down to 5 TB each month. With these challenges, adoption of MongoDB an Open Source No SQL solution was a viable solution.

To augment to these requirements while making the system responsive, architected solution was designed intelligently. Documents resided in groups and collections. When these were pulled in database, they were horizontally scaled by segregating the data in similar sets. This process is technically referred as Sharding. After making these groupings, data has to be indexed. This process improves search performance when making a search.

With this architected solution, hardware and infrastructure can be optimized while achieving a tuned performance of the application. With deployment of scientific cluster sizing, existing work load can be made more effective. This MongoDB based solution improves performance and provides stability to existing content management framework.

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Tag Words: alfresco consulting, alfresco enterprise, mongodb consulting, liferay portal

Categories: Technology

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