nodejs cluster performance

being read and written by multiple threads, which can cause program crashes) Bottom-ThreadingIt is also not comprehensive to say that node. js is a single thread, and node. JS's underlying library uses LIBUV to invoke multithreading to handle I/O operations. This is like a canteen only a window, only in order to receive a meal, but after the kitchen with a lot of staff, they have to ensure the speed of the meal. If the server is multi-core and has sufficient physical resources, how to

server outputs "{[Error:read Econnreset] Code: ' Econnreset ', errno: ' Econnreset ', syscall: ' Read '} (if the server side listens to the error event, the server side throws an exception and exits). Why is that? I used the tcpdump tool to listen to the server port 6200 port, found the reason.When the CTRL + C key is pressed, the client on Linux sends a message with the fin tag to the server 16:53:59.948186 IP localhost.6201 > Localhost.lm-x: Flags [F], seq, ack 1 , win 257, options [Nop,nop,t

, so its probability equals 100%.This loop structure allows us to use a small number of user connections to obtain a larger request per second.Once you have a good understanding of them, you can create a convenient alias to quickly observe the Tsung report.Vim ~/.BASHRCAlias treport= "/usr/lib/tsung/bin/tsung_stats.pl; Firefox report.html "SOURCE ~/.BASHRCand start Tsung.[Root@loadnode1 ~] Tsung StartStarting Tsung"Log directory is:/root/.tsung/log/20120421-1004"After the end of the observation

Monitoring is the core task of cluster management. Monitoring data can be used for scheduling tasks, load balancing, reporting hardware and software failures to administrators, and extensive control of system usage. Monitoring information must be obtained without impacting the performance of the cluster. This article discusses ways to obtain monitoring data using

Monitoring is the core task of cluster management. Monitoring data can be used for scheduling tasks, load balancing, reporting software and hardware faults to administrators, and extensively controlling system usage. The monitoring information must be obtained without affecting the cluster performance. This article will discuss how to use the/proc file system and

127.0.0.1:9001:ok Connecting to Node 127.0.0.1:9002:ok Connecting to Node 127.0.0.1:9003:ok >>> sending CLUSTER forget messages to the CLUSTER ... >>> SHUTDOWN the node. Zhaoguihuadediannao:src zhaogh$./redis-cli-p 9003 Could not connect to Redis at 127.0.0.1:9003:connection refused Not connected> Very good, it ' s very good. The previous article said that the C # client is not yet well supported for Redis

it is determined that master has failed, then more than one backup will be elected, the highest priority of the backup to become the new master, This kind of election and role switching process is very fast, thus ensuring the continuous availability of services.Iv. workingprinciple of keepalivedThe previous section briefly describes how keepalived works with high-availability features through VRRP, and keepalived as a high-performance

Linux operating system High-Performance cluster-Software Architecture-Linux general technology-Linux programming and kernel information, the following is a detailed description. This article is the third part of the High-Performance cluster series. In this article, I take IBM eServer

Cluster technology is an important means of building high-performance Web site architecture, Imagine that the site under high concurrency access pressure, but also need to query from the massive data to meet the conditions of the data, and rapid response, we must think of the data is sliced, the data according to some rules into a number of different server nodes, To reduce the pressure on a single-node ser

During the rapid expansion of Mailbox, one of the performance problems is the MongoDB database-level write lock. the time consumed during the lock wait process directly reflects the latency during the user's service usage. To solve this long-standing problem, we decided to migrate a common MongoDB collection to an independent cluster. We can infer that this will reduce the lock wait time by 50%. At the same

. Tomcat clusters can maximize the performance of servers. You can deploy multiple Tomcat servers on servers with high configurations, or deploy Tomcat on multiple servers separately, apache and Tomcat are integrated in JK mode. After verification, the system responds to a large number of users. Apache + 3366cat cluster> Apache + 2Tomcat cluster> Apache integrate

shared, and Drdb are replicated through the network between servers. Features: complex, with a brain fissure problem that can achieve 99.9 SLAMYSQL Cluster High-availability solution: MySQL cluster consists of a set of service nodes, each service node is running a variety of processes, including MYSQL server, NDB Cluster data node, Management Server, as well as

performance. There is no bottleneck in MongoDB read performance in the test due to data volume, or YCSB bottlenecks.7. Conclusion1.Mongodb reading performance is very high, suitable for rereading the scene.2. By adding shards, you can greatly increase the write performance of the MongoDB

First, the cluster type:1. Load Balancer Cluster (LB cluster--load balancing):Considering the increase of server capacity is the main technology for scalability expansion.Consider an extension when the following scenario occurs for concurrent requests:1200 request: 1s1500 Request: 2s1800 Request: 10sExtension Type:Scale up: upward, requiring more powerful servers

routing information has been added successfully, and you can implement the same functionality in lieu of virtual_routes by the Notify_master option described above.Nopreempt sets the non-preemption feature in a highly available cluster. In an HA cluster, if the primary node freezes, the standby node takes over, and the primary node normally automatically takes over the service when it starts again. This ba

follows:# cp/usr/local/tomcat/webapps/root/web-inf/web.xml/web/webapps/web-inf/# Vim/web/webapps/web-inf/web.xml #添加下面这一行, in Add multicast routing addresses for each Tomcat node (two Tomcat hosts to configure):Route add-net 228.0.1.7 netmask 255.255.255.255 Dev eth0Restart the Tomcat service# Service Tomcat stop# service Tomcat startThe access tests are as follows:650) this.width=650; "src=" Http://s5.51cto.com/wyfs02/M00/88/75/wKiom1f4gY7jT5pZAAEW7R4l5fo298.gif "title=" Tomcathttp3.gif "alt="

different, in the local to the cache after the storage value and then from another computer can obtain this value.This allows access to the cache server from any computer and client, and the two servers also need to set up master-slave relationships to complete the synchronous backup.Scalability Considerations:In the cache server cluster, you need to consider the server scalability that one day the cache server can not meet the demand, dynamically ad

First, the toolnginx-1.8.0apache-tomcat-6.0.33II. ObjectivesA tomcat cluster for high-performance load balancing:　　Third, step1, first download nginx, to download stable version:　　2. Then extract two tomcat, named Apache-tomcat-6.0.33-1 and Apache-tomcat-6.0.33-2, respectively:　　3. Then modify the two Tomcat boot ports, 18080 and 28080, respectively, to change the first Tomcat as an example to open the Serv

Memcached video tutorial Big Data high performance cluster NoSQL installation command use, memcachednosql. Memcached video tutorial Big Data high-performance cluster NoSQL installation command use, memcachednosql video materials are checked one by one, clear and high quality, it also contains various documents, softwar

Storm and Kafka single-host functions are well integrated, but some problems occur in the storm Cluster Environment and data processing performance. The test process and problems are briefly recorded as follows: Performance Indicator: at least 1 million of the information is processed per minute (about bytes in CSV format). The information is parsed and persiste