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Ping32 HA Ensuring The Sustainability Of The System
Ensure the continuous and stable operation of the system, avoid business interruption and data loss, and provide high-quality user experience.
The server remains available in the face of hardware failures, network outages, and other problems.
Improve Performance
Improve the performance and responsiveness of the system to provide a better user experience.
Data Protection
Ensure fast recovery and business continuity in the event of server failures or data loss.
Flexible Extensibility
Server resources can be increased on demand to meet the growing and changing business.
Scalable distributed clusters
Ping32 high availability architecture is deployed in cluster mode, and multiple general servers are interconnected by Ethernet to form a distributed cluster.
In case of equipment or system failure, backup equipment can take over and ensure availability.
Load Balancing
Ensure that requests are evenly distributed across available servers to avoid a single point of failure.
Failover
The failover mechanism is automatically triggered when the primary server or component fails.
Backups & Recovery
Distributed file system can effectively ensure the backup and recovery of critical data to ensure normal farming.
Ping32 HA Architecture
It makes the server more secure and reliable in the face of large-scale data storage, processing and hardware failure in the disaster recovery and backup scenario.
Dual Hot Standby Architecture
It supports monitoring the running status of resources, realizes automatic switching, and solves the single point of failure of software and hardware.
Server Load Balancing Architecture
The access request is assigned to the corresponding server, the data stream is reasonably distributed, and the uneven utilization of resources and overload are solved under the condition of high access pressure.
Database Dual Master Architecture
Significantly improve the stability, reliability and performance of distributed systems, and reduce delay and risk.
Non-relational Database Clusters
The scalability, distributed storage, caching and message broker of the server are improved to avoid single point of failure and I/O bottleneck.
Distributed File System
In the aspect of file processing, a large amount of data is distributed to different nodes to store, which reduces the risk of data loss.
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Learn more about Ping32 HA and how to ensure enterprise business continuity.