L&T Infotech - Architecture Consulting

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Our CoE has has a central Performance Engineering Group for the study and performance improvement of various applications from application code and deployment perspectives. This group consists of key solution deployment architects who analyze and suggest architecture for better performance. The group regularly interacts with premier institutes like Indian Institutes of Technology (IITs). Results from Queuing Theory are often applied including statistical formulations, priority schemes, dynamic systems, parallel processing and discrete event modeling and simulation.

Performance engineering is addressed at the following major checkpoints in an application lifecycle:

Application component/module architecture
Application code design
Application deployment architecture
Application security

The group also conducts performance analysis for constrained systems, identifies and isolates problems and provides a performance analysis report, with clear guidelines for improvement. This is done in situations where a problem exists and a reactive analysis is required. Performance Analysis is performed in a consulting model, which involves:

Questionnaire for performance problem definition, and other environment related fact gathering
Identifying and enabling tools for performance metrics collection
Metrics data collection and analysis
Performance report and observations
Guidelines for improvement

enhance by design
Our performance engineering group works very closely with the application architecture and code development/maintenance teams to ensure that best practices are created and published for use. This helps in incorporating and embedding performance considerations during the design and maintenance stage of the application lifecycle.

OPTIMIZE BY REVIEW
This mode of performance is achieved by reviewing existing systems with performance issues and generating a Performance Report with the following recommendations:

Reduce application response time
Fix bottlenecks before costly problems occur in production
Benchmark/Baseline application performance
Recommendations on architecture to ensure optimum performance
Code re-factoring
Database performance
Application server performance
Capacity constraints

STABILIZE BY CAPACITY PLANNING
Capacity planning is another initiative that can save resource utilization and utilize infrastructure in an optimum manner. This is an offshoot of performance analysis recommendations. It addresses deployment scope, the utilization of infrastructure components and their impact on performance. This service is offered for existing systems under consideration for capacity review and for new systems requiring capacity planning.

We saw an attitude of winning in your eyes that gave us confidence to consider you a member of the Motorola extended family” “I am also happy about our relationship with L&T Infotech for having delivered on time with 100% satisfactionMr. Samir (Sam) Desai, CIO, Motorola

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