Latest News from Shyam Kumar Doddavula

A Maturity Model for Application Performance Management Process Evolution

Thu, 23 Jun 2011 10:30:00 EDT

As IT systems form the backbone of business operations, their performance plays a key role in business growth. Understanding this fact, organizations work toward obtaining best performance from the software systems to maximize ROI on IT. Now an application’s performance can be improved by tuning numerous factors like the underlying infrastructure, deployment configuration, application architecture, design, workload, etc. Yet there is another important factor driving the performance of all applications of an organization – the performance management processes adopted by an organization. The performance management process consists of activities performed to get a better understanding and control of application performance. Here we present a maturity model that will help organizations evaluate and evolve their processes on certain key dimensions. The scope of the model presented is limited to the activities that have to be carried out as part of the performance management process. In addition, as the people and technology used for process implementation are equally important to achieve the required success, equal emphasis has been given to them. The model describes a six-level evolutionary path to progressively mature performance management processes in an organized and systematic manner. With the increasing maturity of the performance management process implementation, organizations can see a positive impact of the performance engineering adoption on the business.

An Open Source-Based Cloud Data Storage and Processing Solution

Thu, 13 Jan 2011 11:45:00 EST

Applications are increasingly being made available over the Internet. Several applications have a large user base that produces a huge volume of data, for example, content in a community portal, emails in a web-based email system, and call log files generated at call centers. Due to a large amount of data being added every minute and the need to keep historical data for various requirements such as legal, reference, data warehousing, and analytics, the systems’ data size keeps growing exponentially. This requires a huge storage and processing infrastructure, incurring a high cost of procuring and maintaining it for companies. Other typical challenges with such large data sets are how to store the data reliably and economically. How do you process the data efficiently? How do you provide search?

Cloud Computing - What's Beyond Operational Efficiency?

Mon, 20 Sep 2010 09:12:00 EDT

Cloud Computing is one of the most talked about emerging technology trends today. While the short term driver for cloud computing adoption has been IT optimization for cost savings, this paper explores its potential for fundamentally changing business models. This paper elaborates how the internet consumer industry has innovated at a rapid pace, explores how this has changed the consumer mindset and how this is going to drive the Global 2000 enterprises to adopt similar approaches in the long term and the role cloud computing will play in that. This paper also explores how such an enterprise/industry transformation has fundamentally changed the business models in the telecom industry, which is one of the earliest adopters, and what other industry leaders can learn from it.

Leveraging Open Source Solutions to Improve Productivity While Using EJBs

Sun, 25 Sep 2005 17:00:00 EDT

This article provides a solution for improving productivity in scenarios where EJBs are used to implement business services using Spring, an Open Source POJO container, as a lightweight mock container for testing and using XDoclet attributes to define design-time considerations. The proposed solution has been validated using a POC. The subsequent sections explain the problem context, the different alternatives and their pros and cons, the industry trends and best practices, and a solution based on these trends and best practices.

Adopting Cloud Computing: Enterprise Private Clouds

Wed, 31 Dec 1969 19:00:00 EST

Cloud computing delivers IT capabilities as services-on-demand. This scalable and elastic model provides advantages like faster time-to-market, no capex and pay-per-use business model. While there are several such benefits, there are challenges in adopting public clouds because of dependency on infrastructure that is not completely controlled internally and rather shared with outsiders. Several enterprises, especially large ones that have already invested in their own infrastructure over the years are looking at setting up private clouds within their organizational boundaries to reap the benefits of cloud computing technologies leveraging such investments. This paper describes the different options available, highlighting the key advantages and challenges posed by each and the approach enterprises should be taking in adopting cloud computing with minimal risk.