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Native Apps At The Client & Cloud

Srinivasan Sundara Rajan

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Top Stories by Srinivasan Sundara Rajan

Cloud platforms like Azure provide the best options for organizations in their digital transformation. Most organizations have multiple combination of environment needs. Provisioning on time is always a challenge. Manual operations are prone to error and delays. Difficult to size production like Environments due to resource constraints, this means most NFR (Non Functional Requirements) are not tested with the correct load and perspective. Unable to innovate on new initiatives like blockchain, cognitive services, machine learning due to lack of platform components. Unable to manage the CAPEX and charge back on environments to specific teams and project budgets skewed due to environment costs Lack of test environments resulting in a slower software development life cycle Innovation Labs on Cloud In today's context, organizations adopt a build versus buy approach based ... (more)

Cloud Analytics - The Big Four Offerings

Cloud Analytics The term  ‘Analytics On Cloud'  refers to a comprehensive offering of a combination of products that enable enterprises to move their Business Intelligence, Data Warehousing  & Online Analytical processing (OLAP)  workload to a Cloud platform. While the implementation of Cloud Analytics would take several forms at a high level, the following could be the parts of a Cloud Analytics platform that would be of interest to an enterprise. A Virtualized Infrastructure to support the basic Cloud Tenants to Build a Private Cloud Availability of a Public Cloud Infrastructur... (more)

Machine Learning - Azure vs AWS By @SrinivasanSunda | @CloudExpo #IoT #Cloud

Machine Learning - Azure vs AWS Machine Learning, which is a process to predict future patterns and incidents based on the models created out of past data, is definitely the most important part of the success of the Internet of Things in the enterprise and consumer space. The main reason is that without machine learning the entire backbone of the Internet of Things - event acquisition, event processing , event storage and event reporting - is merely a live display of events happening elsewhere and will not provide any value to its consumers. Think of a smart monitor in an oil we... (more)

PaaS: Is OLAP a Candidate for Cloud

Ever Since E.F. Codd  Coined the term  OLAP (Online Analytical Processing) it has gained high popularity in enterprise computing, in simple terms  OLAP  is  synonymous  with concepts, tools that make Data Ware House data easily accessible. OLAP enables analysts, managers, and executives gain insight into data through fast, consistent, interactive access to a wide variety of possible views of information.  They also answer the Who ? and What ? and What if ? questions on the data. The key attributes of the OLAP are Multidimensional views of data Calculation intensive capabilities ... (more)

Cloud Enterprise Architecture and TOGAF

Cloud Enablement: Bottom Up vs Top Down Like several other architectural enablements such as SOA,  cloud enablement also has multiple approaches. Bottoms Up Approach In this case you have your existing applications moved to a private or public cloud. As most applications would have been designed a while back, the application is not a truly cloud-enabled application. However, this approach will greatly benefit from Storage, Processor Virtualization and on-demand computing. This approach will be the starting point for most enterprises. Moving an application to the cloud and utilizin... (more)