Detailed introduction to parameter tuning

nginx parameter tuning worker_processes 3; //The number of cpu cores -1, the effect is better when used #worker_processes 4;#worker_cpu_affinity 0001 0010 0100 1000;#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. welcome to nginx Tuning of nginx and tomcat in production environment

Introduction: welcome to nginx: welcome to nginx Tuning of nginx and tomcat in production environment: nginx parameter tuning worker_processes 3; //The number of cpu cores -1, the effect is better after using it #worker_processes 4;#worker_cpu_affinity 0001 0010 0100 1000;#error_log logs/error.log;#error_log logs/error.log notice;#error_log logs/e

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

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

3. Installing Oracle 10g bare equipment on AIX 6.1

Introduction: 1. Establish oinstall, dba, oper group 2. Oracle user 3. System parameter tuning ( AIX 6L has adopted a dynamic form for aio, no configuration is required, run rootpre

4. Cluster server optimization (Hadoop)

Introduction: Analyze Hadoop tuning from the administrator's perspective. Administrators are responsible for providing an efficient operating environment for user jobs. Administrators need to consider the overall situation and improve the overall throughput and performance of the system by adjusting some key parameter values. Look, administrators need to focus on four aspects: hardware selection, operating system parameter tuning, JVM parameter tuning and Hadoop parameter tuning.

5. Oracle parameters Tuning

Introduction: 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 version) to Other versions.

6. MySQL parameter tuning

##Introduction: l General class: key_buffer_size Meaning: used The buffer size of the index block, increase it to get better handling of the index (for all reads and multiple writes) Impact: The impact on MyISAM tables is not great, MyISAM will use the system cache to store data, so use MyISAM extensively. The machine memory of the table will soon be consumed

7. Detailed summary of JVM parameter tuning techniques

Introduction: How much do you know about the concept of JVM parameter tuning? Let me share with you the method. If the settings are not good and the JVM continues to execute FullGC, the entire system will become very slow, and the website stagnation time can reach more than 10 seconds. This kind of If this happens every few minutes, I won’t be able to stand it. JVM parameter tuning example analysis Regarding JVM parameter tuning, for many programs

##8.

hadoop 2.0 parameters. Tuning summary

#Introduction: 1.io.file.buffer.size is used to set the cache size of IO operations, the unit is byte, the default is 4KB, it is recommended to set it to 64KB , that is, 65536 2.dfs.balance.bandwithPerSec The bandwidth size between dn when the cluster is doing balance. When doing balance, you can specify the balancing valve through -threshold, but the bandwidth during balancing is statically specified by this parameter,

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