6 Application Migration Strategies You Must Know

Bring order and method to your application usage with responsibility. Application Migration indicates the process-oriented job of transferring a software application from one computer system virtual(online) environment to another cloud data technology-oriented platform. Other variations considering application transfer are on-premise servers to a cloud provider’s online environment.

According to Industry Arc, dealing with analytics, research, and consulting, the data migration market size globally is estimated to be financially positioned at $10.98 billion by 2025. Also, predictions for development are estimated to be at a CAGR of 18.37% from the year 2020 to 2025.

Application transfer to a new online environment depends on particular operating systems, specific network architectures, and single cloud platform development. Migrating applications from virtual or service-oriented data architecture is prominent and widely practiced. Application migration strategies include certain key factors like individual application dependencies, technical requirements, security expertise of the enterprise, and compliance with cost concerns.

How to migrate data applications to Cloud Computing Services?

  1. Rehosting – Also known as the “lift and shift” approach, this strategy includes the deployment of existing data infrastructure to the Infrastructure-as-a-Service (IaaS) IT commercial environment. Large legacy application and data migration cases are achievable with this strategy.
  1. Replatforming – As one of the dynamic application migration strategies, re-platforming includes application up-gradation from the current commercial application source to operate on basis of cloud computing technology, without affecting the previous existing functionality.

Instead of making a full-scale IT infrastructural change of the application, the cloud provider’s infrastructure is used.

  1. Repurchasing

In this context, the application migration is done considering the aim of migration to a Software-as-a-Service (SaaS) platform. The mega benefit here is to prevent the work on maintenance and updates leading to cost and time efficiency due to data migration from an On-premise to a Software-as-a-Service solution.

  1. Refactoring/Re-Architecting

Develop overall data performance with one of the most prominent(popular) application migration strategies. Develop the scalability of your IT operations and commercial data management practices that indicate the potential to extend service abilities depending on business requirements.

  1. Retire

Further analysis of your virtual migration environment for data transfer will offer the potential to identify the utility of each working application. Cloud data migration strategy can be decided on the basis of elimination of no longer useful data and shift of prioritization to valuable digital asset management with content management.

  1. Retain

Categorize least significant commercial assets and valuable data assets for conducting useful migration. Application migration must be conducted in cases of valuable and crucial business assets in the form of IT commercial data infrastructure. Applications that are not ideal for migrations now, can be retained and kept for future transfer.

Key Responsibility Areas(KRAs) and Key Performance Indicators(KPIs) of Application Migration Strategies

For the implementation of an optimum and worthwhile cloud migration process, work out the application migration plan. Here the key responsibility areas that the migrater needs to focus upon and successful performance criteria are –

  • Effect of the application migration on services and business
  • How does application migration meet integral customer needs and requirements with service delivery?
  • Significance of data migration and timelines
  • Size, level of manageability, and scope of complication
  • Frequency of developments and maintenance costs
  • The intensity of value and level of developed value with application migration to cloud data technology

Process-oriented Application Migration Job

  • Focus on Reasons – Highlight the valid reasons for data application migration considering alignment to business objectives. Prefer an analysis-oriented application migration strategy, before application migration to cloud data technology.
  • Join the ideal resources – Connect with the appropriate personnel, stakeholders, and staff for involvement in the application migration process. Get involved with stakeholders like business analysts, data architects, and project managers for delivering positive commercial outcomes.
  • Analyze the organization’s cloud preparedness –

For analysis of the enterprise potential of cloud data technology compatibility, work with technical and IT business analysis. Here, factors like existing commercial data infrastructure, apps, and virtual environment quality will be beneficial.

  • Prefer an experienced cloud vendor

An Ideal platform providing Higher Returns of Investment with profits is essential for application migration. Invest in best quality application migration services like Microsoft Azure, Amazon Web Services, and Google Cloud for cloud hosting.

  • Develop the way forward with Cloud Computing Services.

Organize, map, and schedule stages of cloud deployment with the purpose of application migration.

Upcoming Data Application Migration Trends and Way Forward

  • Technology and human-oriented factors will be majorly connected with max alignment to Cloud Computing Services-oriented application migration with no limitations.
  • Migration will demand modernization – one significant factor here will be application modernization for deriving max advantage and potential of Cloud data technology. Critical applications will be updated for getting max advantage from Cloud Computing Services while conducting application migration.
  • Increase of digital products and services – The effect of the COVID-19 pandemic resulted in several businesses shifting their traditional practices to digital work processes. This was done to improvise digital experiences. Enterprises will consider more commercial apps with multi-cloud and hybrid cloud architecture, edge computing, containerization, with serverless computing.
  • Analytics-oriented data migration –

Cloud-oriented application migration will progress due to increasing use. Introduction of Business Intelligence and analytics approach for application migration according to changing business needs will be beneficial.

  • To make an on-premise data warehouse quicker, and simple, a Business Intelligence-oriented approach will be the preference with an analytical approach for enhancing the value of data streams in supply chains.
  • Developed user experience will be an emphasis

Remote working becoming a trend due to the pandemic, and employees demand a better work experience with digital products and services. Hence, the use of Cloud Computing Services for application migration jobs will be widely used. Accordingly, cloud-oriented data migration will continue to be a source of influence.

New opportunities for data management, specifically with application migration solutions are emerging with the application modernization blueprint, a kind of a data transfer plan to Cloud Computing Services. For implementing a successful application migration process, enterprises are presented with several modern and expandable solutions.

Ensure consultation with us here for a valuable application migration process before proceeding.


Cloud Modernization And Its Role In Application Modernization

Welcome to the world that includes humans with machines, the speed with precision, power with the invention, data with insight, and Cloud with Artificial Intelligence (AI), which is possible by using real-time modern technologies. Modernize existing IT infrastructure to better meet the needs of businesses and consumers through the use of Cloud Data Technology.

Operate and Map out your data modernization journey to the Cloud Computing Services.  From an initial assessment to post-data modernization, this commercial roadmap focused on the aims of 3 components. These components are workforce quickness, process effectiveness, and the future-ready state of technology.

Cloud Modernization

Business applications must evolve constantly considering their service portfolio with service offerings according to the changing business requirements. Investment in Cloud Data Technology is not a single time effort and value proposition.  Cloud Optimization signifies transforming the Cloud Data Technology and Cloud Computing Services to be effective is an ongoing continuous process with intense observability, kind of an analysis required.

Cloud-investment approaches can be further categorized into – re-hosting, re-platforming, and refactoring.

Re-hosting includes transferring on-premise data applications to the Cloud Computing Technology with the least amendments possible.

Re-platforming signifies changing one or more data application components for the highest level of optimization to Cloud Data Technology. In this context, optimization implies making effective use of the Cloud Data Technology process for max commercial benefits.

Re-factoring – Implementing important code and commercial data architecture amendments for achieving the objective of cloud-native benefits.

Hence, re-hosting, re-platforming, and re-factoring perform a valuable role in the cloud modernization process. Accordingly, constant up-gradation practices with application optimization, and working with effective use of applications with their underlying infrastructure and services are significant.  Modernization is the solution to discover the long-term value and benefits of working on your data applications and IT asset infrastructure with cloud data technology. Work on analysis of your cloud applications, IT infrastructure, and services for accomplishing business goals.

Data application modernization

According to the data application modernization process, Application Modernisation Centre was worked upon, which served as a central hub between development teams, business units, and vendors to drive modernization across enterprises and meet key strategic business goals.

AMC is uniquely positioned across businesses and development teams to assess technologies and business cases with the intention of unlocking the commercial data potential.  Develop current and future value once the data modernization journey is complete.

Modern app practices provide the benefit of enhancing the valuable insights and business value in legacy applications for organizations to achieve cost efficiency. Accordingly, application modernization also provides other advantages of future-proofing commercial data infrastructure to face future uncertain data challenges for quick commercial decisions.

Application development, data security, and application transfer to Cloud Data Technology are popular practices of IT modernization. As part of this modernization process, appropriate tools, approaches, and other knowledge for modernization are worked upon in their application portfolio initiatives.

Purpose and significance of application modernization

Organizations can develop the scope of present-day commercial data, simpler integration with open Application Program Interface (API), agile development practices, and faster deployment with application modernization after the application is transferred to a modern platform.

Get the potential to streamline and modernize applications by re-architecting existing commercial data applications to a modern open-source data environment. Other variations with application modernizations are also overall re-building of data applications with the objective of working with a cloud-native IT environment.

Use automated products and services for streamlined IT infrastructure. The scope and complexity of legacy applications are important factors for the re-architecture of data modernization. The use of automated code refactoring methods can streamline the overall commercial IT infrastructure up-gradation process.

Benefits of cloud modernization and data application modernization

  • Identify the data enhancement practices by shifting from a decentralized application to a centralized cloud application. Centralized cloud application offers simplified maintenance, enhanced security, and ongoing updates, enabling remote deployment globally with cost savings.
  • Additional benefits included mobile device integration, easy replication in additional languages, and future opportunities for monetization.
  • By leveraging advanced experience in cloud modernization, research, planning, and execution, business organizations can allot greater potential in delivering a clear vision for the future. Achieve significant cost savings and improved business value today and beyond.
  • Once the IT modernization journey was complete, users benefitted by delivering enhanced client experience, improved security protocols, streamlined development data integration, and activating systematic information sharing with others.

Role of cloud modernization in application modernization

  • Considering the effects of the COVID-19 pandemic and uncertainty, Cloud technologies are recognized to offer the potential of meeting developing customer needs for relevance to the commercial scenario
  • Cloud-based Application modernization and migration prove to be beneficial by developing resilience, and the quality of recovery in case of uncertain commercial challenging scenarios. Also, qualities of agility, and cleverness to fulfill business objectives are developed
  • The platform-oriented data modernization approach is more prominent with the objective of transforming enterprises to be resilient, responsive, and relevant.
  •  This could be achieved by building future-proof commercial data architecture solutions with changing legacy systems with the use of valuable Cloud Computing Services
  • Implementing agile methods that encourage business agility development like DevSecOps, low-code, no-code platforms, and platform empowered cloud modernization
  • For the cost efficiency and saving costs, while implementing the cloud modernization process, software asset optimization, open-source software solutions, cloud data technology, and smart automation for the least cost must be the preferences.

For achieving the commercial goals, organizations must present enterprise wide-IT solutions with the appropriate practices, tools, and processes for modernizing their overall data infrastructure. Migrating applications to cloud data technology will be a provision to help make enterprises agile and develop the organization’s potential for quickly adapting to commercial market changes.

Contact us to learn more about our app modernization services.