- Services de conseil
Migrations of legacy applications to Azure & On-Prem: 3-Day Workshop
Our company, specializing in migrating legacy applications to modern environments using the Azure cloud platform and on-premises solutions, guards digital transformation.
Nowadays, technological development plays a key role in business, and dynamically changing market requirements require flexibility and innovation in the approach to information technology.
As pioneers in application modernization with four separate Microsoft specializations: DevOps with GitHub on Microsoft Azure,Migrate Enterprise Applications to Microsoft Azure, Analytics on Microsoft Azure, Infra and Database Migration to Microsoft Azure, we offer a comprehensive approach to migration, combining experience , advanced tools and industry best practices. Our goal is to enable enterprises to quickly adapt to changing market needs by moving their applications from legacy environments to modern, scalable and efficient cloud platforms. Our work is guided not only by technical excellence, but also by a deep understanding of our clients’ business needs through extended business analysis. Thanks to this, we not only ensure the migration of applications, but also help optimize their performance and adapt them to the individual goals and strategy of the enterprise.
By accepting the challenge of migrating legacy applications, we open the door to new opportunities, enabling our clients to use the full potential of modern technologies to transform legacy IT infrastructure and support clients in achieving success in the digital era.
𝗠𝗮𝗶𝗻 𝘀𝘁𝗮𝗴𝗲𝘀 𝗼𝗳 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗹𝗲𝗴𝗮𝗰𝘆 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗔𝘇𝘂𝗿𝗲 𝗰𝗹𝗼𝘂𝗱 𝗳𝗿𝗼𝗺 𝗮𝗻 𝗼𝗻-𝗽𝗿𝗲𝗺𝗶𝘀𝗲𝘀 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁:
𝟭. 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁 𝗮𝗻𝗱 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 The first step is a thorough assessment of the existing infrastructure and applications. You should examine the application architecture, dependencies, integrations, and security and compliance requirements. Based on this information, you can create a personalized migration plan that takes into account your business goals, priorities and work schedule.
𝟮. 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗔𝘇𝘂𝗿𝗲 𝗰𝗹𝗼𝘂𝗱 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 Based on your application analysis, select the appropriate Azure cloud services that best suit your application requirements and characteristics. This may include IaaS (Infrastructure as a Service), PaaS (Platform as a Service), DaaS (Data as a Service) or SaaS (Software as a Service), depending on your needs.
𝟯. 𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 At this stage, it may be necessary to modernize the application to adapt it to the cloud environment. This may include updating code, configuration, and testing the application in the new environment.
𝟰. 𝗗𝗮𝘁𝗮 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 Moving data from your existing on-premises environment to the Azure cloud is a key element of the migration process. You should plan your data migration strategy, taking into account the method of data transfer, security and data consistency.
𝟱. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 After preparing the application and data, you can start the actual migration of the application to the Azure cloud. This process can be implemented gradually or in full, depending on the migration strategy and application complexity.
𝟲. 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 After completing the application migration, it is necessary to conduct tests to verify the correct operation and performance of the application in the new environment. If problems or optimization opportunities are detected, appropriate corrective actions should be taken.
𝟳. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗺𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 Once the application migration is complete, it is necessary to monitor its performance in the Azure cloud and ensure regular maintenance and updates. In this way, you can guarantee the continuity of the application and optimize its performance.
𝗕𝘆 𝗽𝗿𝗼𝗽𝗲𝗿𝗹𝘆 𝗽𝗹𝗮𝗻𝗻𝗶𝗻𝗴 𝗮𝗻𝗱 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗮𝗯𝗼𝘃𝗲 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝘀𝘁𝗮𝗴𝗲𝘀, 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲𝗹𝘆 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗹𝗲𝗴𝗮𝗰𝘆 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗔𝘇𝘂𝗿𝗲 𝗰𝗹𝗼𝘂𝗱, 𝗲𝗻𝗮𝗯𝗹𝗶𝗻𝗴 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀 𝘁𝗼 𝘂𝘀𝗲 𝗺𝗼𝗱𝗲𝗿𝗻 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀 𝗮𝗻𝗱 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲 𝘁𝗵𝗲𝗶𝗿 𝗳𝗹𝗲𝘅𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆.
𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 𝘄𝗵𝗲𝗻 𝗺𝗶𝗴𝗿𝗮𝘁𝗶𝗻𝗴 𝗹𝗲𝗴𝗮𝗰𝘆 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝘁𝗼 𝘁𝗵𝗲 𝗔𝘇𝘂𝗿𝗲 𝗰𝗹𝗼𝘂𝗱:
• Application dependencies. • Lack of internal resources. • Security and compliance. • Choosing the right migration strategy. • Cost management. • Performance and Scalability. • Lack of support for legacy technologies. • Complexity of the migration process.