Business Challenges
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Sudden Traffic Surges
Access traffic can surge hundreds of times during promotions, such as flash sales. As a result, servers become overloaded and e-commerce platforms may even crash.
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Poor User Experience
Massive amounts of static data, which is usually stored on servers, are processed on a daily basis. Users in different network environments may experience delayed access to such data, resulting in poor user experience.
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Lack of Proper Data Analysis
Existing e-commerce platforms and related data analysis tools lack intelligent data analysis capabilities. As a result, it is difficult to make key business decisions based on data output.
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Compromised Security
E-commerce enterprises encounter risks in various processes, such as ordering, payment, and delivery. The vulnerabilities may come from library hitting and explosion, scalpers, DDoS attacks, and account leakage.
Typical Scenarios
Introduction
Compute resources can be scaled up or down so that services meet in-the-moment requirements.
Benefits
Introduction
Precision marketing is realized through big data analysis.
Benefits
Solution Architectures
Architecture
Provides a one-stop solution that allows customers of all sizes to deploy their services rapidly while keeping costs down. The solution is elastic, reliable, and secure, making it easy for customers to deal with promotions, sweepstakes, and hot sale events all while maintaining rapid response as access requests increase.
Advantages
● Service neutrality
● Reduced TCO for e-commerce platforms
● Enhanced user experience
● Pleasant shopping experience
● Precise operating system
● Comprehensive protection
Recommended Configurations
ECS
2 vCPUs | 4 GB | 500 GB high-I/O disk | 1 MB
2
RDS for MySQL
2 vCPUs | 4 GB | 500 GB high-I/O disk
1
ELB
1
Charged based on bandwidth usage
ECS
4 vCPUs | 8 GB | 500 GB ultra-high-I/O disk | 2 MB
2
RDS for MySQL
4 vCPUs | 8 GB | 500 GB ultra-high-I/O disk | HA
1
ELB
1
Charged based on bandwidth usage
ECS
16 vCPUs | 32 GB | 500 GB ultra-high-I/O disk | 10 MB
RDS for MySQL
16 vCPUs | 32 GB | 500 GB ultra-high-I/O disk | HA
ECS
2 vCPUs | 4 GB | 500 GB high-I/O disk | 1 MB
2
RDS for MySQL
2 vCPUs | 4 GB | 500 GB high-I/O disk
1
ELB
1
Charged based on bandwidth usage
ECS
4 vCPUs | 8 GB | 500 GB ultra-high-I/O disk | 2 MB
2
RDS for MySQL
4 vCPUs | 8 GB | 500 GB ultra-high-I/O disk | HA
1
ELB
1
Charged based on bandwidth usage
ECS
16 vCPUs | 32 GB | 500 GB ultra-high-I/O disk | 10 MB
RDS for MySQL
16 vCPUs | 32 GB | 500 GB ultra-high-I/O disk | HA