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Many beginners are not very clear about how to solve the problems faced by databases in the normal state of remote work. In order to help you solve this problem, the editor will explain it in detail below. People with this need can come and learn. I hope you can get something.

With coronavirus outbreaks around the world, telecommuting is more important for companies than ever before. But for some enterprises, telecommuting will bring them some trouble. Although some employees are used to working from home and have the appropriate infrastructure to manage their telecommuting, many enterprises are dealing with telecommuting for the first time. The use of cloud computing is now more popular than ever because it enables employees to access systems and applications that are usually accessible only in the office at home.

However, for those enterprises that have not yet migrated any content to the cloud platform, it will be a challenge to embark on the cloud computing journey now. As a result, the hybrid cloud can provide the best of both worlds.

One of the pressures for IT teams looking to switch to a hybrid cloud environment is to ensure that the cloud platform is as balanced and efficient as the on-premises environment.

Although the IT team provides greater agility and scalability, they may use public cloud, on-premises, and private cloud services, so these approaches have a profound impact on the data platform.

To ensure that these databases are monitored and managed according to the same standards as on-premises databases, the IT team should consider which tools can best support this approach to keep the business running smoothly.

Ensure that cloud computing performance matches internal deployment

For many enterprises, migrating databases to cloud platforms is the ultimate goal, whether public or hybrid. It will make the process faster and smoother, allow more employees to work remotely from home or anywhere, and should be more cost-effective overall.

However, many IT teams are concerned that this may affect data delivery during the transition, as well as the ability to validate data and protect it from potential security vulnerabilities in the cloud.

One of the biggest considerations in an ongoing cloud migration is to provide data professionals with the same monitoring, actionable information, and performance tuning capabilities for database management system workloads. This should be the case no matter in what environment you run and where you access it.

This helps minimize the risk of poor workload performance while convincing the enterprise that it is cost-effective.

When enterprises want to choose the best tools to support their dynamic, hybrid, modern data environment, the ability to successfully support database management systems in internal deployment and Yunping Taichung is a key consideration.

With this in mind, the ideal transition of cloud computing databases should include four steps:

Evaluate the performance of the workload in an internal deployment to ensure that you are ready for cloud migration.

Optimize performance as needed, including proactively tuning the data engine to run better and faster.

Move data to the cloud computing provider of the enterprise's choice.

Monitor databases in the cloud platform to ensure their effective operation, including data testing and validation.

Once the database is successfully migrated to the cloud platform, the IT team can effectively manage the data in a variety of ways, and it turns out that an increasingly popular approach is through application performance monitoring (APM) tools.

In general, it is most effective to use application performance monitoring (APM) and database performance monitoring (DPM) tools together, because in some cases, database performance monitoring (DPM) can add additional value.

APM + DPM = a match made in heaven

Application performance Monitoring (APM) has quickly become an alternative tool for enterprises that want to monitor a large number of applications in different delivery environments. The Application performance Monitoring (APM) platform is extensible and can be integrated with hundreds of commercial and open source components and services.

Application performance Monitoring (APM) tools can help monitor some of the applications and services that an enterprise deploys.

However, database performance monitoring (DPM) is undoubtedly more important for enterprises that rely on mission-critical, data-centric applications to serve their customers, but this is where application performance monitoring (APM) tools can be very complementary.

Application performance problems can usually be traced back to problems in the data layer, which is not surprising, because workloads that manage persistent state information are the most difficult to extend, especially for applications that do not take into account distributed computing or teleworkers.

Application performance Monitoring (APM) and Database performance Monitoring (DPM) can complement each other in several ways, such as for event management. Together, these tools can make the following phases more smoothly and faster:

(1) Detection

Application performance monitoring (APM) tools can help them identify problems before they start to become serious, while database performance monitoring (DPM) tools can identify early warning signals in the data layer. With both application performance monitoring (APM) and database performance monitoring (DPM) capabilities, enterprises can get the most comprehensive picture of what needs to be noticed.

(2) response

The Application performance Monitoring (APM) tool provides a comprehensive view of the hierarchical application stack, and Database performance Monitoring (DPM) can quickly prove whether the root cause of the problem is in the database. Once you know exactly where the problem is, you can solve the problem.

(3) repair

In the database tier, database performance monitoring (DPM) tools are irreplaceable because this is their world. Having an application performance monitoring (APM) tool at the same time tells you how many processes are blocked, and these processes may combine to cause identified problems.

(4) Analysis

One of the most useful aspects of database performance monitoring (DPM) tools is that they help analyze root causes through their reporting capabilities. This makes it easier for database administrators (DBA) to explain to users the root causes and solutions of the problem.

(5) ready

The final step is to implement improvement measures to reduce the risk of repeated events. Database performance Monitoring (DPM) tools enable enterprises to automate responses to certain issues, helping to ensure that they are resolved quickly in the future.

Migrating the database to the cloud platform is by no means a simple one-step process, but in today's situation, this problem may need to be resolved as soon as possible.

However, when the enterprise spends a lot of time and effort to complete the process and successfully transfer all the content, this part is done. The challenge then is to ensure that cloud-based databases are as functional as those still deployed in the data center.

This is the focus that IT teams should focus on, and the adoption of third-party tools such as APM and DPM can help enterprises manage their new hybrid cloud environment.

Even if companies return to business as usual after the end of the epidemic, this will enable them to continue to move towards cloud computing.

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