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Why does the company choose cloud database? What is its charm!

2022-06-28 05:17:00 【Little Ajie】

Why does the company choose cloud database ？ What is its charm ！

Amazon cloud technology provides 100 Free packages for more than products . among , Computing resources Amazon EC2 First year 12 It's free for three months ,750 Hours / month ; Storage resources Amazon S3 First year 12 It's free for three months ,5GB Standard storage capacity ; Database resources Amazon RDS First year 12 It's free for three months ,750 Hours ;Amazon Dynamo DB 25GB storage capacity Free forever .)

When it comes to databases, we must all be familiar , The mainstream big data 、 The core business of cloud computing and other technologies is database , With the development of Cloud Computing , More and more enterprises choose to migrate traditional databases to cloud native databases . according to Gartner forecast , To 2022 year ,75% Will be deployed or migrated to the cloud platform . Then there is such data for endorsement , At the same time, recently, the company officially migrated the traditional database to the cloud database , Let's see what a database is , What are the advantages of cloud database , And why the company chose the world's leading AWS Cloud native database ？AWS The type of cloud database .

If you don't know how databases learn , You can also see this information . Database free trial links and tutorials ：

Introduction

Before we start, let's talk about our company , Our company is a start-up company , At the beginning, I will use the tradition MySQL database , But later, with the expansion of the project , The traditional database gradually exposes some problems , For example, the expansion of maintenance costs in the later stage , And agility has also decreased , And security cannot be fully guaranteed , Finally, from the perspective of the team , Taking into account cost considerations , And performance considerations , This project uses Amazon Aurora), from 0 To 1 Development , It is also because of compatibility MySQL and PostgreSQL Database interface for , High availability , Low cost , Performance is MySQL Of 5 times , And good ability to read and expand replicas , Finally, I chose Amazon Aurora), Cloud native database .

First, let's understand what cloud database is

What is a cloud database ？

Cloud database is a kind of database built through cloud platform , Database services deployed and delivered . It is mainly a cloud platform as a service （PaaS） Delivery model , Allow organization , End users and their applications store , Manage and retrieve data from the cloud .

That is to say, data is like the meridians of an enterprise , Only by getting through and fully mining data , To make intelligent decisions .AWS This is how the cloud native database comprehensively builds the cloud native database technology and product system , It provides the production and integration of data 、 Real time data processing 、 One stop full link data service from data analysis and discovery to data development and management .

Compared with traditional databases , Why use cloud database ？

We can make a simple comparison between cloud database and traditional database , I will start from the cost , Security , Operation and efficiency , Of course Cloud native database online conference ： There are also a lot of dry goods . You can understand

Cost comparison

The operation of traditional databases often requires a lot of money , Time and labor costs . Whether in hardware or software 、 Build and operate , Or subsequent maintenance , Traditional servers require large cost investment .

Cloud database ？ The cost of a professional cloud database service is much lower than that of a traditional self built database . Because cloud databases are all integrated database service systems , It can be purchased according to different requirements of the enterprise , And after the cloud database service is purchased, a professional team will maintain your database , Greatly reduce the cost of personnel and capital .

Security comparison

Self-built database ： No automatic backup system , Mainly rely on manual work . The database specialist may delete the database and run away , Cause heavy losses to the company .

Cloud database ： High data reliability , Intelligent backup, etc . New or restore operations can be performed according to the backup , Prevent misoperation , Reduce business losses .

Operation comparison

During deployment , Traditional servers require hardware procurement , Computer room trusteeship , Deployment and other work , The development cycle is long . When using traditional databases , Users also need to create master-slave replication , build by oneself RAID, Regularly check the operation of the equipment , Hardware upgrade, etc , The process is long and complicated .

Cloud database ？ You can directly select the configuration required by the enterprise , Fast application and creation 、 Within a few minutes, the enterprise can have a database under its own unified management .

Efficiency comparison

In this age of efficiency , Not enough efficient , The inability to browse the required data anytime, anywhere is one of the reasons for the gradual decline of traditional databases . Besides , Different from cloud database , Traditional databases need to take into account peaks , This also leads to low resource utilization of traditional servers .

ECS provides hardware sharing 、 The benefits of process automation and technical proficiency , From anywhere 、 Use any computer 、 Mobile device or browser access database , It can reduce the use of resources as a whole . It can select the database type according to the different requirements of the enterprise 、 The internal configuration 、 Compared with the traditional self built database, the flexibility and freedom of the elastic expansion space are very high .

summary

Taken together , Compared with traditional servers, cloud database is a high-performance , More secure , More reliable , Cheap and fine , Easy to use database service system .

So here it also confirms that our choice is correct , Next, let's continue to analyze the advantages of databases .

Advantages of cloud database

Increase agility and innovation . Users can create and stop cloud databases very quickly , Relaxed 、 Quickly test 、 Validate and implement new business ideas .

Accelerate time to market . After adding the new product to the development queue , Businesses don't need to buy hardware , Waiting for delivery , Install and set up the network , Database access in minutes .

Reduce risk . Cloud database can reduce the risk of the whole enterprise from many aspects . Cloud service providers can implement security excellence practices and features through automated methods , Reduce the probability of human error , meanwhile , Automated high availability and service level agreements It can reduce or even eliminate the loss of revenue caused by downtime . Last , When implementing the project , Because the cloud is an infinite 、 Real time infrastructure and service pools , Capacity forecasting will no longer be a challenge .

cost reduction . Thanks to the subscription mode of pay as you use and the dynamic expansion capability of cloud database , The end user can supply a small amount first , Meet the requirements under steady state , Then expand during peak hours , Meet peak demand , And reduce supply when demand returns to a stable state . It means , ECS is elastic and scalable , Use resources effectively , Greatly reduce the cost of use , The traditional database built by self purchase server needs hardware procurement 、 Computer room trusteeship 、 Deploying machines and so on , Long cycle . Full time DBA To maintain the , It costs a lot of manpower .

After looking at the advantages above, let's take another look 、 Why we choose the world's leading in our project AWS Cloud native database .

Why choose the world's leading AWS Cloud native database ？

In today's , Enterprises face a variety of providers and cloud database solutions . We choose the world's leading AWS Cloud native database , It is no accident , But after considering the following factors .

High performance and scalability

Its performance is superior , Up to MySQL The throughput of 5 times , meanwhile Amazon Aurora Various software and hardware technologies are used to ensure that the database engine can make full use of available computing 、 Memory and networking .I/O Operation use Quorum Evenly distributed system technology to improve performance consistency .

High availability and persistence

Amazon RDS Continuous monitoring Amazon Aurora Database and underlying Amazon Elastic Compute Cloud (EC2) ) The health status of the instance . When a database failure occurs ,Amazon RDS The database and related processes will be restarted automatically . At the same time, it has good fault-tolerant and self-healing storage , With the help of Amazon Aurora The backup function of , The instance can be restored at a point in time . such , You can restore the database to any second of the retention period , Up to the last five minutes , At the same time, it makes the data more persistent .

Security

Strong security is very important for cloud databases .Amazon Aurora stay Amazon Virtual Private Cloud (Amazon VPC)) Run in , This allows you to isolate the database in your own virtual network , And use industry standard encryption IPsec VPN With your local deployment IT Infrastructure connectivity . At the same time, resource level permissions enable you to Aurora Resource tagging , And control your IAM Users and groups can have the same label for each group （ And tag values ） Operations performed by the resources of . meanwhile Amazon Aurora Allows you to log database events , And the impact on database performance is minimal . You can analyze the logs later to perform database management 、 Ensure safety 、 Conduct management 、 Ensure compliance , At the same time, it has powerful data editing function , So as to restrict and control the visibility of sensitive data and ensure sufficient security .

other

Cloud database features that you should pay attention to also include ： Through a readable standby database （ Combined with reports ） Reduce high availability costs , Prevent user errors with industry-leading flashback Technology , And widely compatible with third-party applications . And whether it is more intelligent 、 automation 、 Convenience 、 Scale and Standardization , Backup 、 Capacity expansion 、 Migration and other functions , Users can easily manage the database .

Practice

Finally, our company decided to use Aurora Machine learning functions provided , The company has assembled several developers to be familiar with SQL Developers of programming languages use it together Amazon RDS Administrative console ) Will be based on ML The forecast of is added to our company's application . adopt Aurora And AWS Simplicity between machine learning services 、 Optimized and secure integration , It was soon applied to practical production .

Speaking of this , Let's take a look at AWS Cloud database provides a variety of services .

AWS Cloud database

AWS Cloud database modernizes its data infrastructure by using a fully managed and dedicated database , Finally get rid of the shackles , Realize savings faster 、 The goal of development and innovation . At present, it also provides many cloud database services , And provide the high availability required for business critical enterprise workloads 、 Reliability and safety .

Let's take a look AWS The reason why cloud databases provide more services , And specific service types .

AWS Cloud database service

Cloud database provides many services , There are several main reasons ,

first , No database can cure all diseases , That's why there are so many database services you can choose , And there will be ways to build it that suit you , It is more convenient , Quickly build your database service

second , Database services provide so much , The prices are different , So you can compromise and choose the right one , Not necessarily expensive AWS Cloud database service .

Managed relational database （Amazon RDS）)

Amazon RDS Is a managed relational database service , Provides you with six common database engine options , Include Amazon Aurora、MySQL、MariaDB、Oracle、Microsoft SQL Server and PostgreSQL. This means that your current code for existing databases 、 Applications and tools can also be used for Amazon RDS.Amazon RDS Can handle daily database tasks , Such as preset 、 patch up 、 Backup 、 recovery 、 Fault detection and maintenance .

Use scenarios ： Mainly used in traditional applications 、ERP、CRM、 E-commerce and other fields .

Cloud native database （Amazon Aurora）)

Amazon Aurora Is with the MySQL and PostgreSQL Compatible relational database , Built for the cloud . Performance and availability comparable to commercial databases , The cost is only 1/10.

characteristic ： compatible MySQL and PostgreSQL Database interface for , High availability , Low cost , Architecture is the separation of storage and computing , Performance is MySQL Of 5 times ,PostgreSQL Of 3 times , Good ability to read and expand replicas , Global database 、 Fast database cloning 、 Database backtracking, etc

Use scenarios ： It can meet the project needs of almost all enterprises .

In memory cache service （Amazon Elasticache）)

Use memory cache to achieve microsecond delay and expand ,Amazon ElastiCache Is a fully managed memory caching service , Support flexibility 、 Real time use cases . You can use ElastiCache For accelerating application and database performance cache , It can also be used as a use case that does not require persistence （ Such as session storage 、 Game leaderboards 、 Streaming and analysis ） The main data storage of .ElastiCache And Redis and Memcached compatible .

Use scenarios ： For content management 、 Catalog 、 User profiles, etc .

hosted NoSQL database （Amazon DynamoDB)

Fast 、 agile NoSQL Database services , It can achieve single digit millisecond performance at any scale

Use scenarios ： Used to cache 、 session management 、 Game leaderboards 、 Geospatial applications .

Managed document database （Amazon DocumentDB）)

Easily extend with a fully managed document database service JSON The workload

Use scenarios ： For fraud detection 、 Social networks 、 Suggest areas such as engines .

Fully managed graph database （Amazon Neptune）)

Build and run graph applications using highly interconnected datasets

Use scenarios ： Used for system recording 、 Supply chain 、 register 、 Banking affairs, etc .

summary

Data is the core of all businesses , To manage more effectively 、 The value of analyzing and mining data , Cloud database is indispensable .AWS Cloud database , Rooted in cloud computing and high-performance database services , Help users reduce the complexity of database operation and maintenance , Let enterprises focus more on business development . At the same time, it provides data production and integration 、 Real time data processing 、 One stop full link data service from data analysis and discovery to data development and management .AWS Cloud database ) It is the only choice when you choose cloud database .

by way of practice , We found that in the project , It's very easy to start using Amazon Aurora. And just use Amazon RDS Administrative console ) Or a API Call or CLI You can start a new Amazon Aurora Database instance . You can start the database instance and connect to the application in a few minutes , Without any other configuration . It proves that we are right to choose cloud data , And it does bring some benefits to our production and operation . Is worth to recommend .

Finally, it brings some fan benefits to everyone , And my exclusive benefits .