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Enabling Next Generation Enterprises with Client, Cloud & Things

Srinivasan Sundara Rajan

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Top Stories by Srinivasan Sundara Rajan

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 well that monitors various climatic conditions and other factors that can cause a failure; unless the monitor is able to predict of a failure and corrects itself the usage of such solution is quite limited. MLPaaS - Azure Vs AWS In that context, Machine Learning Platform as a Service (MLPaaS) has... (more)

Supplier Evaluation as a Service

This is the continuation of my series of articles on Industry SaaS. The term ‘Industry SaaS' can be used interchangeably with BpaaS (Business Process as a Service). However, the term ‘Industry SaaS' meaning a Software as a Service meant for a specific industry need needs more attention, as the term BpaaS has yet to mature with a clear definition. Supplier Evaluation Most organizations need an automated tool to select suppliers and evaluate them. These systems form an important part of Supply Chain process, as they aim at evaluating the supplier's capabilities and other compliance... (more)

Cloud Database Design, Scale Out Using Shared Nothing Pattern

Abstraction Vs Flexbility : It is evident that storage plays a major part in the data center and for cloud services. The storage virtualization plays a key part in the dynamic infrastructure attribute of Cloud Computing. Which means the storage is provisioned and de-allocated on demand and usage needs. The good part is that this complex stuff is hidden from the cloud consumer. However while the storage allocation is abstracted it also brings in performance concerns in a multi tenant cloud environment where by most of the cloud consumers are geographically dispersed and a good amou... (more)

Amazon EC2 as a Business Continuity Platform

Elastic Compute Cloud Amazon Elastic Compute Cloud (Amazon EC2) is a web service that enables you to launch and manage Linux/UNIX and Windows server instances in Amazon's data centers. What makes Amazon EC2 different is that you use only the capacity that you need. This eliminates your need to make large and expensive hardware purchases, reduces the need to forecast traffic, and enables you to immediately deal with changes in requirements or spikes in popularity related to your application or service. EC2 comes under the category of IaaS (Infrastructure As A Service) and provid... (more)

Non-Functional Testing for Cloud

Functional & Non Functional Tests As we know typical application testing will consist of the following types of test cycles: Functional Regression Installation Functional Sanity Testing Non Functional Performance Test for Responsiveness of the application Performance Test for a Given Load Profile (Load Test) Performance Test for Abnormal Stress conditions (Stress Test) Performance Test for System Availability Functional Tests ensure that the system behaves as documented and non - functional tests ensure that the QoS (Quality Of Service) can be met. Detailed  explanation of the abo... (more)