Engagement Approach
INFRASTRUCTURE GOVERNANCE APPROACH
For stable infrastructure and excellent application performance, NITS takes care of the following Maintenance measures:
Performance Benchmarking
Identify various Key Performance Indicators and Benchmarks for infrastructure, application, database along with security, accessibility, availability, the usability of data and application
Continuous Monitoring
Comprehensive monitoring to measure defined KPIs and overall infrastructure health
Proactive Maintenance to Prevent Failure
Maintenance and support activity catering across each and every component of infrastructure
Continuous Availability
Always ready to fix Ad hoc failure, backup and disaster recovery across the components.
Transparency in Infrastructure Health
Effective monitoring enabled for immediate notification in case of failure as well as periodic report about infrastructure health
Cloud Provisioning & Migration Model
Phase 1: Assessment
- Analyse existing IT Infrastructure as well as data landscape to identify possibilities of improvement
Phase 2: Cloud Readiness
- Perform the cloud readiness assessment considering business requirements, application life cycle, application architecture, data, infrastructure, security, integration, and operation
Phase 3: Requirement Gathering
- Requirement gathering inclusive of aspects like Data availability, performance, security, privacy, and regulatory compliance for target architecture
Phase 4: Migration Mode Selection
- Based on existing landscape assessment and requirement gathering, choose the apt mode of cloud migration from below 5 R’s
- Re-Host
- Re-Platform
- Re-Factor
- Retain
- Retire
Phase 5: Design Target Architecture
- Design architecture based on performance, availability, security, regulatory compliance, Maximum Availability Architecture, application considerations and define strategy for validation
Phase 6: Deploy Infrastructure on Public Cloud
- Configure Cloud Infrastructure and enable operational consideration including monitoring, management and governance
Phase 7: : Validate Cloud Infrastructure
- Validating all components including data validation, accessibility, performance, security etc. as per defined test strategy
Phase 8: Transition
- Transition Transit execution of business applications to Cloud environment and make the production environment operation ready.
CUSTOM-MADE APPLICATION DEVELOPMENT MODEL
Phase 1: Conceptualise
- Understanding concept of existing business process and identify areas of improvement via digitization. List down the requirement consideration
Phase 2: Prototype Engineering
- Solution concept strategizing and engineer a root-level construction and technical consultation.
Phase 3: Design, Development & Implementation
- Tailor-made application design, development, implement, test, release including process optimization considering best industry-standard practices.
Phase 4: Validation and Quality Assurance
- To achieve readiness for Application Release, Perform multi-level enterprise-grade Application Testing procedures for desired output, zero errors and robust security features. Achieve readiness for Application Release.
Phase 5: Deployment and Production Launch
- Deploy Application to the business (production) environment and continuous monitoring of Security, Integrity, and Accessibility of business data.
In any organisation, the ease of data access is of great significance for the smooth running of business processes. The needs and methods of data access can vary for each
According to a 2020 study conducted by the American technology giant Cisco, digitization of India's Small and Medium Enterprises (SMEs) can boost India's GDP as high as $158-216 billion by 2024. Being one
As the Indian economy moves forward through the Covid times, proactive business decision-makers aim not just for survival but focus on future expansion. The Small and Medium Enterprises (SMEs) of India are