A detailed description of the parameter tuning

Nginx parameter Tuning worker_processes 3; CPU core number-1, the use of the effect is better #worker_processes 4; #worker_cpu_affinity 0001 0010 0100, #error_log Logs/error.log; #error_ Log logs/error.log notice; #error_log logs/error.log info; #pid logs/nginx.pid;events {use epoll; Worker_connections 8192 ;} HTTP {include mime.types; Default_type application/octet-stream; Server_tokens off;

1. Nginx and Tomcat tuning in Welcome to NGINX production environment

Introduction: Welcome to Nginx:welcome to Nginx production environment Nginx and Tomcat tuning: Nginx parameter tuning worker_processes 3; CPU core number-1, the use of the effect is better #worker_processes 4; #worker_cpu_affinity 0001 0010 0100, #error_log Logs/error.log; #error_ Log logs/error.log notice; #error_log logs/e

2. PHP-FPM parameter tuning under large concurrency and high load

Introduction: PHP-FPM parameter tuning under large concurrency and high load

3. Installing the Oracle 10g bare device on AIX 6.1

Introduction: 1, the establishment of Oinstall, DBA, OPER Group 2, Oracle User 3, System parameter tuning (AIX 6L in the AIO has been used in the dynamic form, do not need to configure, run Rootpre

4. Cluster Server optimization (HADOOP)

Summary: Analyze the tuning of Hadoop from an administrator's perspective, and administrators are responsible for providing an efficient operating environment for user jobs. Administrators need to move from a global perspective to improve the throughput and performance of the system by adjusting some key parameter values. In general, administrators need to choose from hardware selection, operating system parameters tuning, JVM parameter tuning, and Hadoop parameter tuning four, to

5. Tuning Oracle Parameters

Summary: The Oracle Database Upgrade Assistant (DBUA) configuration tool includes a command option to automatically extend system files, which can be upgraded from Oracle Express (XE or free) to other versions.

6. mysql parameter tuning

Introduction: L General Class: Key_buffer_size meaning: The buffer size used for the index block, increasing the index (for all read and multiple writes) that it can get better processing. Impact: The impact on the MyISAM table is not very large, MyISAM uses the system's cache to store the data, so a large number of machine memory using the MyISAM table will quickly consume

7. Detailed JVM parameter Tuning tips Summary

Introduction: You understand the concept of JVM parameter tuning how much, here and everyone to share their methods, if not set up, the JVM continues to execute FULLGC, will cause the whole system to become very slow, the site will be stuck for more than 10 seconds, this situation if not every few minutes to come, I can not stand. JVM parameter Tuning instance resolution about JVM parameter tuning, for many programs

8. Hadoop 2.0 Parameter Tuning Summary

Summary: 1.io.file.buffer.size is used to set the cache size of IO operations, in bytes, the default is 4KB, it is recommended to set 64KB, that is 65536 2.dfs.balance.bandwithpersec When the cluster does balance, the bandwidth between the DN, when doing balance can be specified by-threshold the balance of the valve, but the balance of the bandwidth is specified by this parameter statically,