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This article mainly introduces "what are the skills of choosing the right cloud computing database service". In daily operation, I believe many people have doubts about the skills of choosing the right cloud computing database service. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts about "what are the skills of choosing the right cloud computing database service?" Next, please follow the editor to study!

Relational database has been used for half a century, and its subcategories (such as documents, key-value databases and cache databases) are long-standing parts in the field of IT. Many people may think that the era of database innovation is over. However, the rise of cloud computing infrastructure and services has injected new vitality into this stagnant market.

Major cloud computing providers initially used databases as applications to run on general-purpose computing instances, but soon began to use higher-level application services to extend their IaaS products. Cloud computing database has become a key area of technology development, cloud computing providers can compete by launching different types of databases to meet business needs.

1. Understand the market

Gartner, a research firm, believes that cloud computing is the future of the database market. The company predicts that 75% of databases will be deployed in the cloud by 2022. This figure is based on customer queries and access to new and existing applications, which are migrating to the cloud at a faster and faster rate, and this trend is expected to accelerate.

For example, in the 2019 database market share ranking released by Gartner, AWS ranked third, up from seventh in 2013. In fact, most of the queries received by database analysts at AWS are related to the cloud platform. Moreover, because of the resiliency, scalability, and on-demand nature of hosted public cloud services, innovations in the cloud may not be replicated internally.

In addition, Gartner estimates that cloud computing database revenue accounted for 68% of overall database software and service revenue growth in 2018, with AWS and Microsoft accounting for the vast majority of revenue.

two。 Familiar with database options

To plan this cloud-centric future, enterprises must understand options that can alleviate the problems encountered in migrating or replicating on-premises workloads to a cloud computing infrastructure.

When enterprises choose cloud computing database services, there are two primary factors to consider-deployment architecture and database requirements. A specific application will provide parameters for each element.

These are the factors that affect the choice of databases related to cloud computing:

Deployment environment, whether on-premises, one or more public clouds, or a mix of private clouds and managed data centers

Database types, including relational SQL (RDB), distributed SQL, NoSQL variants (such as column storage, wide columns) or document databases, caches, graphics, or various specialized databases (such as time series and quantum ledgers)

Database manager, that is, whether the database is self-managed or cloud computing service (DBaaS)

Performance and capacity requirements, such as transactions per second, query latency, and scalability of database throughput and capacity

Availability and resiliency requirements, which will determine the need for multiple replication and synchronous instances

Flexibility, including specific version requirements and the amount that the IT team needs to control over details such as database setup and configuration.

AWS, Microsoft and Google dominate the global market for cloud services. Many IT teams tend to use the database services of these cloud computing providers rather than hosting the database itself on cloud computing instances. That's because it's easier to integrate them with existing cloud computing environments and reduces overhead.

AWS, Microsoft Azure, and Google Cloud platforms have a range of database services that the IT team should explore to meet their specific needs.

3. Tradeoff elements of Cloud Computing Database Service

Database services are not suitable for every company and every cloud computing strategy. In general, cloud computing database services are more suitable for the following enterprises:

Requires simpler and faster deployment

Requires a variety of database products without having to install and manage each product

Do not want to manage the software

Need for greater scalability

Want to achieve high availability through multiple geographically dispersed instances

Understand the shared security model of cloud computing and take advantage of the inherent security infrastructure of cloud computing

There is no need to micromanage each database setting.

In general, cloud computing users must understand the capacity and performance limitations of a single database instance. However, these can usually be addressed through distributed design, which takes advantage of the replication and networking capabilities built into cloud computing products.

Although the calculation of total cost of ownership is full of variables unique to each organization, the cost of cloud computing database services is lower than that of self-managed internal database systems. They eliminate the cost of hardware, system administration, and some database administrator (DBA) overhead, making it a more attractive option for companies looking to reduce expenses. When enterprises use cloud computing products based on open source or internally developed software, they save more money, thus eliminating licensing fees.

4. Consider the business and usage of the enterprise

The design and selection of database applications are highly dependent on software requirements, cloud computing usage, and any related legacy systems. In order to make the best decision about an enterprise's workload, the following factors need to be considered:

First of all, new applications are more suitable for cloud computing infrastructure and database products than traditional applications. However, if the IT team wants to migrate obsolete hardware, or if their usage spikes and wants to save money by leveraging consumption-based pricing of cloud computing, the IT team may choose to move the original system to the cloud platform. If the enterprise adopts a cloud native strategy, the IT team may need to migrate an existing database to integrate with the new application.

However, if enterprises are cautious about migrating directly to the cloud platform, hybrid cloud deployment (copying internal deployment data to or accessing from the cloud platform) is often a better choice and provides a better risk management database. The hybrid cloud approach also allows the IT team to switch to the cloud platform as the primary system while running the original on-premises database as a backup.

Once the enterprise team adapts to the new environment, it can access a complete list of data analysis and machine learning services available on major cloud platforms. It can also migrate workloads to cloud native database services, such as Amazon Aurora, Azure Cosmos DB, or Google Bigtable, which are often more cost-effective than existing databases on cloud computing instances and can be better integrated with other cloud computing services.

No matter which cloud computing database you choose, system designers and application developers must pay special attention to service costs when designing cloud-based environments, because hasty use and configuration may offset the possible cost savings from cloud computing deployment.

At this point, the study on "what are the skills to choose the right cloud computing database service" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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