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Digital Transformation

Digital transformation allows you to power innovation, increase your business agility, reduce your operating costs, make better informed decisions, and ultimately, transform your customer experience through technology. Many organizations are operating on outdated IT infrastructure or applications that can stand in the way of operational performance, agility, workload scalability, and security. In order to tap the full potential of digital technologies like artificial intelligence, automation, connected devices, remote collaboration and communication, enterprises need to adopt a comprehensive digital transformation strategy involving not only the technology, but the people and processes as well.

A comprehensive digital transformation could include one or more of the following Cloud Modernization solutions – infrastructure modernization, platform modernization, application modernization, business process modernization, and workplace modernization. However, a strategy on its own is not enough, effective and efficient cloud modernization becomes possible only through professional collaboration, expertise and coordinated modernization efforts that carefully align cloud strategies with enterprise’s business objectives.

Data Glove provides Cloud Modernization services ranging from discovery and assessment to strategy and planning all the way through to deployment, migration, application and infrastructure modernization and the ongoing support for any efforts.

Our Cloud Modernization Factory model follows dynamic practices built and optimized over hundreds of prior engagements. This model provides an organized methodology, using tested processes to deliver more predictable and consistent migrations, at a faster pace. Our strategy goes above and beyond simply moving to cloud, extending from migration planning and design to leveraging a wide-range of expert support to ensure our  migrated solutions achieve and sustain business value.

Why consider Cloud Modernization?

The business need for cloud modernization could arise from anywhere and is unique to each business, but some of the most commonly faced challenges are below:

Software End of Support

Unsupported software can leave your business vulnerable to cyber security threats and create performance, regulatory and compliance issues.

Datacenter Consolidation

Mergers, acquisitions or divestitures can reduce or eliminate expensive datacenters, lower costs, allowing you to reinvest the savings.

Businesses Need to Innovate and be Agile

Out of capacity or contending with Shadow IT? Remain relevant to business units by delivering new cloud capabilities and value with speed and agility.

Protect Critical Business Assets

The dramatic rise in modern security threats demands a modern level of data protection and theft detection technology to safe guard your digital assets and underlying infrastructure.

Contracts, Licenses up for Renewal

Rather than simply renewing outsourcing contracts or on-premise licenses, leap forward through modernization.

Cloud Modernization Results!

Costs
Cloud computing can significantly decrease operational costs when compared to an on-premise infrastructure.
Increased Agility
Instant Provisioning
DevOps & CI/CD
Faster time to market
Service Quality
Performance
Scalability &
Reliability
Cutting-Edge Technology
Machine Learning
Artificial Intelligence
Big Data & Internet of Things

DGI End-to-End Cloud Modernization Approach

DGI has proven approach for cloud modernization of infrastructure, application and databases to cloud. This is an iterative process using agile methodology.

Discovery:

A comprehensive inventory of the current environment.

Assessment:

This could range from assessing the potential target platform, to assessment of the potential Applications to be modernized and designing the cloud foundation architecture (CFA).

Planning:

Planning for modernizing/migrating servers and Applications to a new target state.

Migration:

Actual modernization and migration of servers and applications.

Data Glove Cloud Modernization Models

Lift & Shift

The Lift and Shift model allows for servers and container images to be migrated with no application changes and minimal architectural impact or disruption to the business. It requires minimal effort and can be delivered rapidly.

Optimize

The Optimized Model takes advantage of Cloud Native Services, incorporating minor application changes to help reduce costs.

Modernize

The Modernized Model is architected for the cloud and includes refactoring, rearchitecting and rebuilding applications for optimal cloud performance.

Application Modernization

Application modernization is the process of taking existing legacy applications and modernizing their platform infrastructure, internal architecture, and/or features.

Refactor

Make minor modifications to your application to take advantage of more cloud capabilities, increasing your agility and elasticity while minimizing resource usage.

Rearchitect

Make pronounced modifications altering or extending the existing code to optimize it for better performance in the cloud.

Rebuild

Completely rebuild a new application from scratch using cloud native technology. Wherever possible, prioritize high-productivity PaaS – model or rapid application development.

Legacy Workload Modernization

Modernize critical legacy systems with minimal disruption; Combining the strong suits of an old business system with the technology and software capabilities of today to build a healthy platform for future growth. Operating on legacy systems can cause reliability and business continuity issues while increasing maintenance costs. As time passes, these outdated systems become more likely to cause critical problems like bugs or errors that can affect your revenue. Aside from this, older systems often have a co-dependent or linear structure, meaning one bug or error can lead to multiple more.

Legacy Workload Expertise

Data Glove Inc’s legacy workload modernization strategy aims to transform outdated legacy systems into a modern infrastructure helping our clients to improve their business agility, collaboration and reliability, while lowering their IT costs.

Workload migration can also include existing container assessment & migration of existing container components within a business system.

  • Container infrastructure analysis: Assessment of Kubernetes orchestration platform/container infrastructure where the application is deployed as docker containers.
    • Migration of business system container components with up to 5 container images hosted on-premise or other cloud platform using Kubernetes to AKS.
    • Application container image(s) hosting to ACR.
    • Application launch test with AKS.
Services

Database Migration

Database migration is the process of migrating data from source databases to target databases utilizing a database migration service. After a migration is complete, the dataset in the source databases can remain fully functional even though it has been re-platformed in the new target database. Users accessing the source databases are then incrementally transitioned over to the target databases, and the source databases are eventually turned down.

Services

Server Migration

Server Migration is the process of copying or moving critical data from one server to another, as well as configuring the target server to replace the source server. For example, this could include planning and migrating modern Windows Servers or Linux servers to IaaS environments using server-based, disk replication tooling. Each migration occurs on a per-business system level with detailed planning and dependency awareness.

Services

Hybrid Cloud Management

Hybrid Cloud Management is related to Server Enablement – Monitoring, Backup, Disaster Recovery, and Patch Management.

It can also be used to monitor and analyze availability and performance by gathering real-time granular data across various workloads.

Services

Server replication for Disaster Recovery

Server replication for Disaster Recovery contains the detailed Disaster recovery steps documented during a migration. Steps could include the disaster recovery process, final environment, and target region requirements.

Our Experience

ASSESSMENT & MIGRATION

  • Cloud Readiness Assessment
  • Cloud Economic Assessment
  • Infrastructure migration
  • Application migration
  • Database migration
  • Open Source migration

MODERNIZATION

  • Re-platform applications on Azure Native services
  • Re-factor applications as microservices
  • Re-Platform databases to Azure SQL or Managed databases

DEVOPS

  • Infrastructure as a Code
  • Azure DevOps
  • Continuous Integration and Continuous Delivery CI/CD
  • Templates and Scripts
  • Microservices and Containers

IDENTITY AND ACCESS MANAGEMENT

  • Azure AD IAM
  • Azure AD Domain Services
  • Application Proxy
  • Privileged Identity Management

CLOUD AND HYBRID SECURITY

  • Azure ARC
  • Azure Security Center
  • Azure Sentinel
  • End Point Security
  • Cloud Access Security Broker

GOVERNANCE AND COMPLIANCE

  • Role Based Access Control
  • Policy implementation
  • Cloud Security Audits

CLOUD APP DEVELOPMENT

  • Web application
  • Serverless applications
  • Custom application

GREENFIELD SOLUTIONS

  • IoT Solutions
  • Data Solutions
  • Analytics Solutions
  • AI and ML Solutions

THIRD PARTY SOLUTIONS

  • Third Party Firewalls on Cloud
  • VMWare on Azure
  • SAP on Azure
  • Citrix Farm on Azure

Case Studies

UK Based Insurance Company

Major Manufacturing & Retail Company

Major Insurance Company

Major Healthcare Company

Contact Center Solution For Premier Telecom Service Provider

Federal Dept Of Transportation Crime Enforcement And Anti-Terrorism

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