Server performance monitoring: Best Practices for server monitoring

Server performance monitoring is the process of monitoring system resources , for example CPU Usage rate 、 Memory consumption 、 storage capacity 、I/O performance 、 Network normal operation time, etc .

It helps identify server performance related issues , For example, response time 、 Resource utilization and application downtime , Besides , It supports capacity and efficiency planning by helping administrators understand the system resource consumption on the server .

What is server monitoring ？

Performance monitoring usually involves measuring performance indicators over a period of time based on performance indicators , It can be very troublesome , Especially when the server infrastructure and surrounding networks become more and more dispersed and complex .

Key components of a successful server performance monitoring strategy include ：

• Identify key indicators
• Set a baseline for metrics related to server performance
• Report on the added value of key indicators

therefore , Server performance monitoring is accomplished by tracking key indicators that ensure excellent server performance .

Indicators for monitoring server performance

Some effective metrics help determine whether server performance is optimal or needs to be improved , These metrics may include requests per second 、 Error rate 、 Normal operation time 、 Number of threads 、 Average response time and peak response time .

Requests per second (RPS)

The main function of the server is to receive requests and process them , When the number of requests becomes overloaded and unsustainable , Server performance may be affected .

RPS Is an indicator of the number of requests received during monitoring , If there is a problem processing the request ,RPS Indicates a server performance problem . such , It is the load indicator for the server .

Error rate

Errors are unwanted problems that can damage server performance , They usually occur when the server is under heavy load , The error rate is an indicator of the percentage of requests that failed or did not receive a response from the server . This is the most important indicator to solve when improving server performance .

The error rate is an indicator of the percentage of requests that failed or did not receive a response from the server .

Normal operation time

The most critical issue in any operation is the availability of the server , Uptime refers to the time that the server runs within a given period of time without major interruption , If the uptime indicator is lower than the server usage time 99%, You need to pay attention to .

In terms of context , High availability server architecture supports 99.999% The usability of , Even during planned and unplanned outages , Also called five nines reliability , The server should be reliable to the end user , So uptime is a good indicator of performance problems .

Number of threads

The thread count parameter specifies the maximum number of requests that the server can process simultaneously , This may be an important indicator of server performance , When an application generates too many threads , Errors may increase .

Once the number of threads reaches the maximum threshold , The request will be suspended , Until there is free space , When the holding time is too long , The user will encounter a timeout error .

Mean response time (ART) And peak response time (PRT)

ART The request used to calculate all requests / Total response cycle time divided by the number of requests ,PRT Calculation request / The length of the response time period to track the longest period within the monitoring period , assessment ART and PRT Metrics are the most effective technique for accurately understanding response times .

Best practices for server performance monitoring

Server performance monitoring allows administrators to track in-depth information about server status and health , Here are three best practices for server performance monitoring .

Set the visual representation

Visualization is the use of graphics 、 Graphical representation of information and data by tools such as charts and maps , Visualization of data is easier to see at a glance , And highlight useful information .

Clearly map the design of the entire network 、 Get a clear visual representation of key data and server health reports , All of this helps administrators monitor 、 Understand and make decisions to optimize server performance , This can be done effectively and easily by using cloud monitoring services .

Set detailed alarms

Real time alerts let administrators know about any problems , Help solve problems quickly , Detailed alerts , For example, automatic messages or notifications from monitoring tools , Provide recommended procedures for fixing related problems , More valuable than a simple alarm .

Real time alerts let administrators know about any problems , Help solve problems quickly .

The server administrator needs to check the severity of the problem first , And understand its logical meaning , If the problem will have a serious impact on the server , The administrator can make effective decisions on the next step to solve the problem .

General server health monitoring

Server health refers to the state of the server's core functions , Server health monitoring plays an important role in identifying server and network failures , It can help determine the adjustment of server operation 、 Hardware replacement and performance optimization , Physical inspection may include CPU Usage rate 、 Memory availability and disk capacity .

Server health monitoring provides data that predicts server problems 、 Useful when comparing current and historical data , Companies can identify potential server failures and resolve them before they impact the bottom line .

Why server monitoring is important ？

Server performance monitoring is essential to identify risks and optimize server performance , Final , Performance impacts the company's reputation and user expectations , There are many vendors that support server performance monitoring .