What does server load mean? Detailed explanation of the principle and function of server load

in the process of Internet business operation, the server is the core carrier that supports all services, and its running state directly determines the user experience and business stability. Professional indicators frequently mentioned by many operation and maintenance personnel in their daily work are often the key to judging the health of the server. This article will deeply dissect the definition, calculation logic, abnormal performance and optimization methods of this core indicator, help readers to fully grasp the judgment and maintenance skills of the server's running state, and provide theoretical support for the stable operation of the business.

What is the basic definition of server load?

to understand the server load, it is first necessary to clarify its core connotation, which is the basis for subsequent analysis and optimization.

1, the core meaning of server load

server load refers to the total amount of tasks that the server needs to handle per unit time, including user requests, data calculation, file reading and writing and other system operations. It intuitively reflects the current busy level of the server. The higher the value, the more tasks the server needs to handle, and the greater the running pressure.

2, common classification of server load

According to the type of task, the server load can be divided into CPU load, memory load, disk I/O load and network load. CPU load focuses on the task processing pressure of the processor, memory load reflects the occupation of memory resources, disk I/O load focuses on the busy degree of disk reading and writing, and network load focuses on the pressure of network data transmission.

2, the core computing principle of server load

understand the computational logic of the server load, it can help readers more accurately interpret the actual meaning behind the load value.

1, CPU-based load calculation method

CPU load is usually expressed by three core values, namely the average load in 1 minute, 5 minutes, and 15 minutes. The calculation logic is to count the total number of processes in the running and waiting states per unit time, and then take the average. For example, the average load in 1 minute is 2, which means that there are an average of 2 processes waiting or using CPU resources in the past 1 minute.

2, other resource load calculation logic

memory load is mainly calculated by the proportion of the used memory to the total memory, and is comprehensively judged by the usage of the swap partition. The disk I/O load is calculated by the number of bytes read and write per second, the number of read and write requests and other indicators, and the network load is calculated by the number of data packets transmitted per second and the size of data traffic.

How to identify the abnormal state of the server load?

identify the abnormal state of the server load in time is the key to avoid server collapse and ensure business stability.

1, the typical performance of abnormal server load

when the server load is abnormal, usually accompanied by a series of obvious performance: slow response speed or even timeout when the user accesses the service, server system card, operation instruction execution delay, part of the service process is forcibly terminated, while the system log will frequently alarm information insufficient resources.

2, server load abnormal judgment criteria

determine whether the server load is abnormal in conjunction with the hardware configuration of the server, for example, for a server with a 4-core CPU, when the 15-minute average load continues to exceed 4, indicating that the CPU resources have been in a saturated state, belonging to abnormal load; memory usage continues to exceed 90%, disk I/O usage is maintained at more than 80% for a long time, it can also be determined that the load of the corresponding resource is abnormal.

Practical optimization strategies to reduce server load

when the server load is too high, it is necessary to reduce the pressure through reasonable optimization strategies and restore the efficient running state of the server.

1, server load optimization at the resource level

starting from the resource dimension, the carrying capacity of the server can be directly improved by upgrading the hardware configuration, such as increasing the number of CPU cores, expanding the memory capacity, replacing the high-speed solid-state drive, etc. At the same time, by opening the cache mechanism, the high-frequency access data can be stored in the memory, reducing disk I/O requests and indirectly reducing the server load.

2, server load optimization at the architecture level

in the architecture design, load balancing technology can be used to evenly distribute user requests to multiple servers to avoid excessive load on a single server; large-scale applications can also be split through the microservice structure, so that different service modules run on independent servers, Reasonable allocation and isolation of resources, and further optimize the distribution of server load.

To sum up, server load is the core indicator reflecting the running state of the server, covering the pressure of CPU, memory, disk I/O and other resources. By understanding its definition and calculation principle, mastering the identification method of abnormal state, combined with resource upgrade, architecture optimization and other strategies, you can effectively control the server load, ensure the stable and efficient operation of the business system, and provide users with a smooth service experience.