It runs outside of your infrastructure and is maintained by a third party. This approach typically involves upgrading to a newer version or different solution and means you are willing to move to a different pricing model than the one you are currently following. Upon reviewing the existing environment and architecture of your application and comparing that to business needs, it may become apparent that your goals cannot be achieved without taking at least a partial cloud-native approach.
An example of this would be moving from a monolithic to a serverless architecture. The impetus for this strategy would be to improve scalability, agility, and overall performance. Reviewing your environment further will help uncover the utility of each application running. Too often, no one realizes, pays attention to, or does anything about parts of your IT portfolio that are no longer useful and can be eliminated. With a comprehensive approach, you will inevitably see that not everything you had before is needed in the new computing system.
Repurchasing or replace In this case, you ask a third party to move your computing environment to a SaaS platform. It saves your in-house team from managing infrastructure and covering maintenance problems. This third-party application should have the functions and capabilities relevant for your application but with necessary compliance to cloud requirements. Application migration testing In the case of application migration, testing ensures that no information or critical features are lost during the transfer.
What is application migration process? Assess the application and environment The precise calculation and description of all the available assets is what an ideal assessment is. Create a deployment document Another great way to present the assessment of application and environment is to create a deployment document.
A well-done report includes these parts: An inventory list of all the servers, applications, and supporting technologies available, The catalogue of network specifications, including connections and dependency bonds between applications, Statistical data on the application performance especially about the demand it serves , The presentation of all the possible problems that need to be addressed during application migration. In the case of migrating data to the cloud environment, we recommend paying attention to these application migration services: Google Cloud, Pivotal, Salesforce, Amazon Web, Microsoft Azure.
Restore and reconfigure At this stage, your task is to reconfigure your application in the new computing system. Automate when possible The proper optimization of automation migration is also one of the best practices. Create a test plan Creating a testing strategy is important for application migration.
How to manage an IT application migration project If you need comprehensive application migration, we recommend hiring a professional team who can perform this task as an IT project. Create high-end software solutions for your company with Intellectsoft. Subscribe Thanks! Please verify your email. COVID pandemic outbreak has radically changed the development vector of nearly all industries, and the construction field is not an ….
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This API is used by both user interfaces and backend systems. During the migration, the monolithic system must be modified so that the components that have been migrated either to macroservices or microservices use the API to access the migrated data.
The monolithic system must also be modified so that the API proxy can communicate with the legacy system to perform the actions that have not yet been migrated. The API proxy can then be used to access the data whether it is accessible through the monolithic service, a microservice, or an interim macroservice.
Only a single migrated microservice may be allowed to access the data directly. All other users of that data must use the API for access.
When the migration is complete, the API remains the only means to access the data. Ideally, a macroservice would have the same exclusive access to its datastore for all relevant information, but sometimes it might need to access the datastore of the legacy monolithic application or another macroservice. However, if the macroservice does include a datastore that is separate from the legacy monolithic application, that monolith should not be able to access the macroservice's datastore directly; the monolith should always use the API for that data.
The data objects are the logical constructs representing the data being used. The data actions are the commands that are used on one or more data objects, possibly on different types of data, to perform a task. The job to perform represents the function the users are calling to fulfill their organizational roles. The jobs to perform may be captured as use cases , user stories , or other documentation involving user input.
When combining multiple systems into a unified system, the data objects, data actions, and jobs to perform for each individual system must be identified. All these components are implemented as modules within the codebase with one or more modules representing each data object, data action, and job to perform. These modules should be grouped into categories for working with later steps. This grouping is indicated by color coding in Figure 1.
System architects may find it easiest to identify the data objects used within a system. Working from this dataset, they can then determine the data actions and map these to the jobs to performed by users of the system. The codebase is usually object-centric , and each code object is associated with functions and jobs to perform. During this part of the migration process, system architects should be asking the following questions:.
The migration from a monolithic system to microservices does not typically affect the user interface directly. The components that are best for migrating are thus determined by which components. After all the modules have been uniquely identified and grouped, it is time to organize the groups internally. Components that duplicate functionality must be addressed before implementing the microservice. In the final system, there should be only one microservice that performs any specific function.
Function duplication will most likely be encountered when there are multiple monolithic applications being merged. It may also arise where there is legacy possibly dead code that is included in a single application. Merging duplicated functions and data will require the same considerations as when designing the ingestion of a new dataset:.
Since one of the effects of this migration is to have a single data repository for any piece of data, any data that is replicated in multiple locations must be examined here, and the final representation must be determined.
The same data may be represented differently depending on the job to be done. It is also possible that similar data may be obtained from multiple locations, or that the data may be a combination from multiple data sources. Whatever the source and however the data will be used, it is essential that one final representation exists for each unique datatype. After the components have been identified and reorganized to prepare for the migration, the system architect should identify the dependencies between the components.
This activity can be performed using a static analysis of the source code to search for calls between different libraries and datatypes. There are also several dynamic-analysis tools that can analyze the usage patterns of an application during its execution to provide an automated map between components. Figure 2 below shows an example of a map of component dependencies. One tool that can be used for identifying component dependencies is SonarGraph-Explorer.
This tool includes a view of the elements arrayed in a circle or in a hierarchy, which allows an analyst to visualize how each component is associated with other components in the codebase. After the dependencies have been identified, the system architect should focus on grouping the components into cohesive groups that can be transformed into microservices, or, at least, macroservices.
The distinction between macroservices and microservices at this point is not important. Common resource identification takes into account the resources of old and new systems , Attention should now be given to flow chart of FIG.
At block , deployment and configuration of software applications are obtained for the old system environment. At block , similar information is obtained for the new system environment and the two environments are compared. At decision block , a decision is made whether there are any needs, such as enterprise needs. At block , optimized migration rules are generated. Block depicts execution of the rules. The enhanced migration rules can be executed, for example, by a migration utility The migration utility apparatus can be in charge of provisioning and setting configurations of software applications in the target system environment As noted, in some instances, the enhanced migration rules are substantially optimized migration rules.
In general terms, the exemplary inventive method includes translating needs into requirements for the destination system , and capturing deployment and configuration of the software applications in the source system environment and the destination system environment in a centralized model, such as model Dependencies between the systems in the source and destination systems can be analyzed, to construct a mapping between the requirements and elements of the model, and the enhanced optimized rules are generated at , based in whole or in part on the mapping.
That is, the generating of the enhanced migration rules can be performed, at least in part, based on the enhanced migration that has been developed. In some instances, an editing user interface such as GUI is provided to a user such as , to correct automatically-generated migration decisions of the enhanced migration rules The user interface can include, for example, a flagging provision for automatically flagging a subset of the decisions for further review.
With respect to identification of needs, it should be noted that the needs can be obtained and understood as at block , for example, by pal-sing input files, defining policies using a migration utility this can involve, e. Another option for the obtaining and understanding of the needs includes obtaining messages sent by a separate apparatus. Additional steps can include analyzing the deployment and configuration of the software applications in the source system environment, obtained at , to capture at least one of the following: i inter-dependency among the software applications, ii inter-dependency among configuration parameters of the software applications, and iii inter-dependency among: iii-a the software applications , and iii-b resources provided by the source system environment In one or more embodiments, these deployment and configuration data are provided by a separate apparatus which is in charge of capturing information from the old system environment and software applications, and storing such information into a central model Advantageously, the destination system environment is compared with the source system environment to identify at least i resources common to the source and destination system environments, as at , and ii different resources provided by the source and destination system environments.
In one or more embodiments, the information pertaining to the old and new system environments is provided by a separate apparatus which is in charge of capturing information from the old and new system environments. The development of the enhanced migration can be done, for example, according to the model , the obtaining and understanding of the needs at , the analyzing of the deployment and configuration of the software applications , and the comparison of the destination and source system environments , In one or more embodiments, during the reasoning process, the administrator can give some advice for optimizing migration based on his or her knowledge, as at blocks , , and some additional assistant tools can also be used to reason out the optimized migration.
A variety of techniques, utilizing dedicated hardware, general purpose processors, firmware, software, or a combination of the foregoing may be employed to implement the present invention or components thereof.
One or more embodiments of the invention, or elements thereof, can be implemented in the form of a computer product including a computer usable medium with computer usable program code for performing the method steps indicated. Furthermore, one or more embodiments of the invention, or elements thereof, can be implemented in the form of an apparatus including a memory and at least one processor that is coupled to the memory and operative to perform exemplary method steps.
One or more embodiments can make use of software running on a general purpose computer or workstation. With reference to FIG. Suitable interconnections, for example via bus , can also be provided to a network interface , such as a network card, which can be provided to interface with a computer network, and to a media interface , such as a diskette or CD-ROM drive, which can be provided to interface with media Accordingly, computer software including instructions or code for performing the methodologies of the invention, as described herein, may be stored in one or more of the associated memory devices for example, ROM, fixed or removable memory and, when ready to be utilized, loaded in part or in whole for example, into RAM and executed by a CPU.
Such software could include, but is not limited to, firmware, resident software, microcode, and the like. Furthermore, the invention can take the form of a computer program product accessible from a computer-usable or computer-readable medium for example, media providing program code for use by or in connection with a computer or any instruction execution system.
For the purposes of this description, a computer usable or computer readable medium can be any apparatus for use by or in connection with the instruction execution system, apparatus, or device. The medium can store program code to execute one or more method steps set forth herein. The medium can be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system or apparatus or device or a propagation medium.
The memory elements can include local memory employed during actual execution of the program code, bulk storage, and cache memories which provide temporary storage of at least some program code in order to reduce the number of times code must be retrieved from bulk storage during execution.