Cloud migration annoying to solve key technical problems

Companies are clearly able to choose a business case for verifying cloud application migrations. However, it is clear that the technical problems associated with cloud migration can ruin business cases, disrupt applications and even generate other aspects of application performance and stability.

Application architects who consider implementing cloud migration need to review their entire application lifecycle management (ALM) processes. In addition, however, they should pay special attention to managing performance and reliability, ensuring compliance and security, and the emphasis on ensuring operational efficiency and stability in cloud computing.

Typically, applications that are primarily deployed, redeployed, and managed through manual operations have mostly static resources and few changes. For example, about One-third of the application lifecycle management activities use only the fewest tools for deploying applications and components, while activities below 15% involve using automated tools for testing performance and validating security. One of the biggest technical problems with cloud application migrations is to create a more flexible and automated framework for ALM. Deployment is at the heart of this process.

Reflection on the application model of cloud migration

It is critical to rethink the application model in search of efficient cloud migration. It is no longer a software image for a server or virtual machine, but rather a schema, a virtual component architecture that is linked through a virtual network, hosted in a machine-mirrored library, and ready to commit to providing resources.

This pattern reflects the fact that application component relationships are designed and determined by the application architect beforehand, but only after the application is deployed are these relationships practical. To achieve this, the entire virtual architecture must target the characteristics of cloud computing and connect to a whole through network services. Manual deployment is simply not possible. The appropriate solution is: Use the DevOps tool.

DevOps is a collection of open source and commercial products designed and developed for "scripting" or automated deployment or redeployment of multiple component applications. Ideally, these tools will use a modular scripting/modeling form (a popular tool) to support servers, networks, databases, and even application machine-mirrored storage.

Choosing the right DevOps tool is critical, and there are a lot of options available (other examples include chef, Heat, and puppet). It would be difficult to evaluate these tools in isolation. The best way to do this is to select a representative application and then use each of these tools for a pilot deployment to determine which of these tools will achieve the simplest running state, achieve the best control effect, and support the widest range of applications. You will need to build your ALM practices for each new cloud application based on this universal DevOps framework.

One area that requires special consideration for deployment tools is redundancy to manage availability and performance. Load balancing and failover often require an application-design-level focus to manage the integrity of the database, while ensuring that the performance and availability processes properly maintain context and state during the conversion process.

These same factors typically require special attention in deployment and ALM because decisions about additional replicas of components are typically triggered by some management programs that monitor reaction time or component availability. The installation of additional component replicas must be triggered by the connection during deployment, and these new replicas should be started through modules in the DevOps tool rather than standalone scripts or manual processes. Otherwise, these practices can affect the synchronization process between baseline deployment and incremental change.

Maintain compliance and security in the cloud migration process

Of course, security and compliance are key issues to consider in any cloud application migration.

The prevailing view is that unless the image security (and auditable) level is very high, the encryption key and authentication details should not be stored in the cloud computing machine image. Sometimes overlooked are the deployment tools that integrate application components in cloud computing or between cloud computing and data centers, which can pose a security risk if the tools themselves are compromised. A contaminated deployment script can easily be deployed as a legitimate component of a Trojan horse (Trojan), thus ensuring that the cloud's ALM tools are fully secure.

Internal auditors should also include tools in their compliance audits or incomplete risk assessments that could lead to certification failures.

All this is intertwiner with the fundamental problem of cloud resource vigor. Cloud Hosting is geographically located, and the quality and availability of network connectivity between host and user are significantly different. This has a significant impact on response times and the quality of worker experience, which means that when applications migrate to cloud computing, it is important to validate applications in the application-run cloud hosting sites. If you provide unacceptable results, it is certain that cloud service contracts can limit the operating environment of the application to avoid additional problems.

Resource dynamics can also affect security and compliance. Application mirroring and application data can be migrated in cloud computing, and each new site may have different levels of physical security and different jurisdictional regulatory factors, such as tax collection or hosting of certain types of information or content. You should test every assumption of your application throughout the managed location, not just where you think the application will run.

Be particularly careful if your cloud provider has a federated agreement with other vendors to cover remote areas or to provide additional resources under high load or failure response. These protocols may not be able to protect your core performance, availability, security, compliance, or even run assumptions, so you may want to consider additional federated resources when determining the appropriateness of cloud computing services.

Understanding the unique characteristics of cloud computing

Technically, cloud computing is different from other environments. If it is not possible to manage the differences in these key areas as suggested, then verifying that the migration-specific business case to cloud computing is ineffective is a big enough problem.

If so, be sure to document the problems and results so that applications with similar requirements can give a "guilty inference" conclusion in their own cloud assessment. In the long run, migration applications can only hurt the reputation of cloud computing when technical conditions are not guaranteed.

(Responsible editor: The good of the Legacy)