Hong Kong virtual server execution database is supported. In terms of database stability, security and efficiency, Hong Kong Virtual Servers (vps) are low-cost and support flexible scalability, suitable for smes and developers. When configuring and optimizing the database, the performance of Hong Kong virtual server, network environment, security policy and backup mechanism are combined to ensure efficient database operation.
Select the appropriate database type
According to application requirements, databases can be divided into relational databases (such as MySQL, MariaDB, PostgreSQL, SQL Server) and NoSQL databases (such as MongoDB, Redis, Elasticsearch). If your application involves high concurrent reads and writes, such as Web applications or e-commerce platforms, MySQL or PostgreSQL may be a good choice. For large-scale document storage or cache optimization, MongoDB or Redis may be more suitable.
Hardware configuration selection
In general, the database has high CPU, memory, and disk I/O requirements, so when choosing a VPS configuration, you should ensure that there are enough CPU cores and memory, such as at least 2 cores of 4GB RAM, to support the normal operation of the database. In addition, SSDS are recommended instead of traditional HDDS for storage to improve read/write performance and reduce query latency.
Network environment
Therefore, the stability and latency of the network need to be considered when deploying the database. If the database needs to be accessed externally, it is recommended to use a low-latency private line connection or optimize network routing, such as the CN2 GIA line, to reduce cross-border access delays. In addition, if the database is primarily used for internal applications, it can be accessed through a local VPC (virtual private cloud) or a dedicated IP address to improve security and connection stability.
security
Because the VPS environment is relatively open, the database may face attacks such as port scanning, brute force cracking, and SQL injection. Therefore, the following safety measures are recommended:
1. Change the default port: For example, MySQL uses port 3306 by default. You can change the default port to user-defined port to reduce the risk of attacks.
2. Configure the firewall: Use iptables or ufw to allow only specific IP addresses to access the database and prohibit unauthorized access.
3. Enable SSL connection: Encrypt database communication to prevent data theft.
4, Configure minimum permissions: Database users should only have the necessary permissions, avoid granting root-level permissions to common applications.
5. Enable Fail2Ban: prevents brute-force attacks and automatically blocks malicious IP addresses after multiple failed logins are detected.
Database performance optimization is also critical. On Hong Kong VPS, a reasonable database configuration can significantly improve the response speed of the application. For example:
1. Adjust innodb_buffer_pool_size (for MySQL InnoDB) to make it as large as possible to reduce disk I/O.
2. Use query_cache_type and query_cache_size (applicable to MySQL 5.6 or later) to reduce the calculation cost of repeated queries.
3, regularly analyze the index to ensure that the query can make efficient use of the index and accelerate data retrieval.
4. Adopt master-slave replication or sharding technology to share the read and write pressure and improve the scalability of the database.
In addition to performance optimization, backup mechanisms cannot be ignored. When running a database on VPS, it is recommended to adopt a multi-level backup scheme to prevent data loss:
1. Periodic snapshot backup: Use the snapshot function of the VPS provider to back up the entire server.
2. Periodically back up the database: Use mysqldump, pg_dump, or mongodump to generate backup files and store them on a remote server or cloud storage.
3. Real-time backup: Use binlog (MySQL), PostgreSQL (WAL), or Oplog (MongoDB) to replicate logs in real time, ensuring that data can be quickly restored when faults occur.
4, Regular test recovery: ensure that backup files are available to avoid finding that they cannot be restored when needed.
For high availability deployment, you can use the master-slave replication or cluster solution. For example, MySQL supports Master-Slave Replication and MySQL Group Replication, PostgreSQL can use Patroni for high availability management, and MongoDB can use Replica Set for data redundancy. For enterprise applications, a combination of load balancing and automatic failover (such as Keepalived + HAProxy) can be used to ensure the continuous availability of database services.