Amazon AWS

as cloud computing continues to reduce the cost of storage and computing, a new generation of applications have emerged, and a series of new requirements for databases have been put forward. These applications require databases to store new types of data from TB to Pb levels, provide access to data (millisecond latency), process millions of requests per second, and scale to support millions of users anywhere in the world. To support these requirements, users need both relational and non relational databases, which are designed to meet the specific needs of the application. AWS provides the most extensive   aws certified solutions architect professional salary  database options to meet the requirements of different application scenarios.

AWS's fully managed database services include relational databases (Amazon RDS, Amazon Aurora) and non relational databases (Amazon dynamodb), Amazon documentdb - compatible with mongodb, Amazon redshift, Amazon elasticache, Amazon Neptune, Amazon timestream and Amazon quantum ledger database. If you want to migrate an existing database to AWS, you can use AWS database migration It is easy and cost-effective to achieve the goal.

thousands of users have adopted the AWS database service built for cloud, because it has better performance and scalability, easier management, more cost-effective and more reliable.

for more user cases, please visit the AWS case study.

User: Beijing shouchuang Thermal Power Co., Ltd.
 
shouchuang Thermal Power Co., Ltd. is a new modern platform type green energy company jointly founded by a large state-owned enterprise shouchuang Co., Ltd., Hony capital and management team. Relying on the industry's advanced independent innovation technology and intelligent system, it is engaged in cross regional heating resources merger and integration and municipal management Integrated management of heating infrastructure construction and intelligent operation and maintenance.

pioneer thermal is very satisfied with the sap environment of AWS. Mr. Shu Chang, the operation and maintenance manager of pioneer thermal power, said that "running SAP on AWS cloud is simple, flexible, scalable and highly available, which can be described as impeccable."

First, compared with the traditional physical environment, the initial cost is saved by nearly 90%, which solves the problem of super large cost. Shuchang has calculated a sum of money. If you build a local data center, it will cost 16 million yuan to build a data center in five years. If you use AWS, the cost in the first year will be 800-1 million yuan, and the cost in the next year will not change much, and you don't need to worry about five years business development, the service configuration can be changed flexibly according to the needs, which greatly improves the efficiency and reduces the investment cost. More importantly, there is no burden of fixed assets.

secondly, it accelerates the online speed of the project and improves the work efficiency. Before using AWS cloud, it takes at least one month to deploy a set of SAP system on the physical machine, but now it takes less than two days to deploy a set of SAP application. Moreover, with the help of various hosting services (Oracle, SQL Server) provided by AWS, the online speed of the project has also been accelerated. At present, the process system, charging system, sap, UFIDA NC financial system, etc. have been successfully deployed on AWS.

finally, the workload of operation and maintenance personnel is greatly reduced. With the help of cloudwatch service, we can monitor the services running on AWS, collect and track various indicators, and achieve transparent access to the server. Compared with the traditional physical environment operation and maintenance, using AWS greatly simplifies the operation and maintenance work. At present, all of the company's business systems are maintained by only one operation and maintenance personnel, and the operation is very stable.

the system image function provided by AWS is a favorite of Mr. Shuchang. It can quickly complete application level backup and recovery and shorten the impact time on customers. In the past, when using the physical server, there was a system failure, and it took half a month to recover and supplement the data. Now using the system image of AWS, the system can be restored in a few minutes, greatly reducing the workload.

Mr Shuchang said: "with AWS, we no longer have to worry about it infrastructure failure, and we can spare more time to consider application level issues. It's right to choose AWS to build SAP system on the cloud."

 the AWS cloud services adopted by the first thermal power company include Amazon Elastic Compute Cloud (Amazon EC2), Amazon Simple Storage Service (Amazon S3), Amazon relational database service (Amazon RDS), Amazon VPC, AWS Iam, Amazon cloudwatch, AWS cloudtrail , business support, etc.
 
 User: xingyin information technology (Shanghai) Co., Ltd.
 
 xiaohongshu is a new generation of community e-commerce, which combines overseas shopping sharing community with cross-border e-commerce, accurately captures the consumption upgrading needs of post-85 and post-90 generations, and rapidly develops into an influential global shopping sharing community. At present, the number of registered users of xiaohongshu has exceeded 100 million. In the first half year of the establishment of the e-commerce platform, its sales reached 700 million yuan, which was praised by Premier Li Keqiang as "one of the fastest growing start-ups in China". The little red book app also launched the "Black Star" in November 2015During the "phase 5" period, it ranked first in the app store for two consecutive days.

 the key to the success of xiaohongshu mode is that the technical team of xiaohongshu can understand what users like, what they are sharing and what they like most through the background data? And through the analysis of these data, we can speculate which commodities may be popular. Therefore, the little red book needs to deal with data from different data sources: structured data from e-commerce; unstructured data from the community, such as pictures, comments, facial expressions, which are difficult to recognize by machines; and massive log data. 

Therefore, the data team needs to quickly build a data processing system to clean and reorganize the data efficiently to make it suitable for data analysts. Amazon EMR, Amazon RDS, Amazon redshift and other services provided by AWS cloud platform constitute a perfect data processing infrastructure. In particular, Amazon redshift is a fast, fully hosted Pb level data warehouse solution, which makes it very simple and cost-effective to analyze data with existing business intelligence tools. The data team of little red book has made full use of redshift. At first, little red book used Amazon S3 and Amazon redshift to synchronize the transaction data in the business database, and then began to use Amazon S3, Amazon EMR and Amazon redshift to parse and update user logs At the same time, Amazon redshift, as a data warehouse, undertakes a lot of follow-up Bi analysis work.

the efficiency improvement brought by using AWS data processing service is obvious. If there is no AWS, it takes several engineers to build a usable log analysis system, which takes several months to complete. With the data service of AWS, the two engineers of xiaohongshu set up the whole system in two weeks and formally used it in the production environment. In addition, the speed of solving new data requirements is also significantly improved. 

Compared with writing code to pull data from the business back-end database every time, SQL query from the data warehouse significantly improves the efficiency, reducing the workload of the past few hours to a few minutes. Most importantly, the cloud service of AWS makes it a reality for little red book to build a "small and beautiful data team",   so that it can quickly try new models and new data processing methods, and find the most suitable data solution. In addition, the use of AWS has greatly changed the work style of the little red book team. It has become a data-driven team. No matter it is the e-commerce, community, or even marketing team, they all carry out business under the guidance of data. The company's decision-making and performance evaluation also depend on data.
 
 User: Guangzhou Huiliang Network Technology Co., Ltd. (mobvista)  
 
mobvista is the world's leading mobile advertising platform. The group's business includes the global mobile advertising network and overseas distribution game platform. Mobvista adheres to the concept of technology innovation driven and customized service, and focuses on providing the most efficient and high-quality user access and flow cashing solutions for global partners. At present, mobvista's mobile advertising network has covered 236 countries around the world, with a daily display volume of more than 10 billion. It ranks the 12th in the list of global advertisers' partners released by tune, and the third in the comprehensive ranking of global Android game traffic released by appsflyer, an authoritative third-party monitoring platform.

"we migrated to the cloud platform of AWS when the system scale was still very small, which not only enabled us to obtain the required system stability, but also made the system architecture more and more complex with the development of business. AWS can provide solutions matching our architecture for rapid deployment and smooth upgrade. "   Said Huang Weijian, co-founder and technology VP of mobvista.

mobvista has adopted a step-by-step approach in using AWS services. Currently, mobvista has adopted AWS services in nine regions, including Amazon EC2, elastic load balancing, Amazon redshift, Amazon dynamodb, Amazon S3, Amazon RDS, Amazon EMR and a series of products, covering 236 cities around the worldNational and regional mobile advertising network platform. "We migrated to the cloud platform of AWS when the system scale was very small, which not only enabled us to obtain the required  cissp pocket prep  system stability, but also made the system architecture more and more complex with the development of business. AWS can provide solutions matching our architecture, rapid deployment and smooth upgrade. "   Huang Weijian said.

mobvista finally chose Amazon dynamodb, the cloud dynamic database of AWS, which allows users to store and retrieve any amount of data in a simple and cost-effective way, and its reading and writing can be adjusted. Users can use the program to monitor the traffic of Amazon dynamodb, and then configure it automatically on demand, "Amazon dynamodb meets our needs very well, with good results: high speed, strong stability and low maintenance cost. At present, no other cloud service provider can provide similar services." Huang Weijian said.

in terms of offline statistical analysis, AWS redshift's powerful function and flexible billing mode make it the best choice for mobvista. For example, a click data contains 10-20 dimensions of information: user IP, browser type, version of operating system, which advertisement is clicked, what information is included in the advertisement, etc. with 100-200 million hits per day, it is almost impossible to aggregate analysis by traditional methods. R has AWSEdshift, no matter which dimensions need to be analyzed, can be completed very conveniently and quickly. "AWS's unique technology products bring us changes from 'impossible' to 'high performance'" Huang Weijian said.