Digital transformation is the hottest topic in the IT world. However, unlike in the past, which pursued formalized digitization, how to use digital technology to innovate in business, how to survive and innovate in the wave of digital transformation under the epidemic and increasing external pressure has become the most important part of current enterprises. Concerns. On the other hand, with the growth of data and changes in the competitive environment, enterprises are pinning their hopes on digitalization to innovate applications, improve business efficiency, and tap more potential business value from data.
How to survive?
——Choose cloud-native databases to empower business and reduce IT costs
For enterprises, on top of flexible IT cloud resources, cloud native is further used to build and run elastically scalable enterprise applications, which will greatly expand the richness of enterprise application loads, allow applications to maximize their potential, and maximize the Optimize IT costs and respond to rapidly changing markets.
Choosing a cloud-native database to build an enterprise data architecture is an important task to reduce the cost of using the cloud and ensure the survival and sustainable development of the enterprise. There are many examples of cloud-native data system architecture. Let's take cloud giant Amazon Cloud Technology as an example.
how to develop
——Seek development with the innovation of advanced technology
The development of IT technology itself is an efficiency subversive innovation led by technology. As early as the era when Internet companies quickly entered the market, the typical characteristics of the Internet include the explosive growth of the number of online users, unstable data patterns, and the pursuit of fast delivery and light operation and maintenance. Traditional relational databases store all data in one box and cannot scale efficiently, which forces users to re-shard their database, and then manages all partitions and re-partitions, etc., which makes users face huge operation and maintenance challenges and pressures.
The original Amazon Dynamo was built to address these challenges. Amazon Dynamo, the predecessor of Amazon DynamoDB, was not a service at the time, but a software system built by Amazon engineers. However, Amazon Dynamo still has limitations and cannot be used as an external service to other non-captive customers, i.e. it is limited by the SQL API.
Amazon DynamoDB originated in 2007 when Amazon Cloud Technology published a paper on the technical details of Dynamo, which laid the prototype of the first non-relational database (NoSQL). The original Dynamo was designed based on a set of powerful distributed system principles, resulting in a freely scalable and highly reliable database system. Amazon DynamoDB continues to build on these principles.
Amazon Dynamo is an easy-to-use cloud service built from a few original components, that is, Amazon DynamoDB. Since its inception in 2012, a large number of innovative features have been added, not only in terms of low-level availability, durability, security, and scale, but also Including ease of use, etc. Customers no longer need to configure the cluster, just create a table to store the data, and can easily achieve seamless scaling. Administrators don't have to do anything, not even install a single library to operate the database, allowing users to embrace the cloud like never before with the elasticity and scalability on the cloud. Therefore, since its release in 2012, Amazon Dynamo has had the elements of a cloud-native database and has now become the foundation of many enterprises' core businesses.
In detail, Amazon DynamoDB is a key-value and document database, which enables Amazon DynamoDB to have a flexible schema that can support tables of almost any size with horizontal scaling. The performance is achieved by the Amazon DynamoDB Accelerator to achieve microsecond latency. In addition, Amazon DynamoDB is a serverless service that requires no servers to provision, patch, or manage, and no software to install, maintain, or operate, and automatically scales and shrinks tables to adjust for capacity and maintain performance. With built-in availability and fault tolerance, users don't need to build applications for these features. Amazon DynamoDB offers provisioned and on-demand capacity models that enable users to optimize costs by specifying capacity per workload or only paying for the resources you use.
Amazon DynamoDB has detailed enterprise-grade features, such as support for ACID transactions, enabling users to build business-critical applications at scale. DynamoDB encrypts all data by default and provides fine-grained identity and access controls for all of a user's tables, users can instantly create full backups of hundreds of terabytes of data without performance hits, and can restore back to the previous 35 days Any point in time without downtime. In addition, users can export Amazon DynamoDB table data to the lake data warehouse in Amazon S3 to perform analysis of any scale. DynamoDB also provides a service level agreement to ensure availability.
Take the well-known cloud data storage synchronization application Dropbox as an example. Dropbox encountered insufficient capacity in the local MySQL metadata storage, so it migrated the hot and cold metadata to a new storage system built using Amazon DynamoDB and Amazon S3. The storage capacity of the system is currently 300TB and will continue to grow thereafter. Amazon DynamoDB increased the system's query capability to 600,000 queries per second, while saving Dropbox millions of dollars in scaling costs and significantly reducing cost per user GB by using Amazon DynamoDB and Amazon S3.
In addition to Amazon DynamoDB, in the field of relational databases, how does Amazon Cloud Technology meet the challenges of relational data? Amazon Aurora is a MySQL- and PostgreSQL-compatible relational database built for cloud computing, combining the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open source databases.
Epilogue
Amazon Cloud Technology has more abundant technical products and application examples, which cannot be mentioned in this article. Survival and development are the eternal themes of an enterprise. In digital transformation, with the help of advanced digital technologies and platforms, and by learning from proven scenarios, it can be applied to its own business more flexibly and efficiently, to reap the most tangible benefits, and even further Business innovation will be a better choice for enterprises to maintain their competitiveness in the ever-changing business competition environment.
From September 22 to 23, 2022, Amazon Cloud Technology will hold an important technology event in Shanghai - the 2022 Amazon Cloud Technology China Summit. In the "New Cornerstone of Cloud-Native Data" theme forum, technical experts from Amazon Cloud Technology will reveal for the first time the methods and best practices for building data cornerstones with cloud-native data services, and cloud-native databases and data analysis services will all appear. Enterprises need to upgrade their data architecture from traditional solutions to scalable, trusted, and secure cloud-native data solutions.
The forum's keynote speech "Cloud Native Database - The Choice of Next-Generation Applications", Amazon cloud technology database technology experts will talk about the four concepts of cloud native database services, and how these concepts can be applied to the most critical businesses to create cloud native data The cornerstone of strategy. Developers will surely gain more innovative ideas for cloud-native databases and enterprise digital transformation from the cutting-edge and practical content, which is worthy of attention.
Scan the QR code on the image or click the registration link below: , to learn more about the conference and explore your innovation path.
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