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Server Load balancer is a technology that implements Load Balancing through an algorithm. In layman's terms, requests are uniformly distributed to devices,Server Load balancer will receive all requests in a unified manner, and then distribute these requests to the server
. If you have enough funds, you can use up to 100,001 hardware devices. If you already have a technical team, use nginx/haproxy + keepalived to build your own front-end. Balanced methods are flexible, with random, weight, ip, and url options.4. Synchronization depends on what to synchronize. Common files can be synchronized in real time. However, if the database is used, you must select the synchronization mode for the specific type.5. the backend app
I use Nginx to implement the Web site load Balancing test example, Windows IIS do load measurement. If your site traffic (PV) more and more high, a server has no way to withstand the flow of pressure, then increase the number of Web servers to do load it. Do site load can buy h
wonder why it needs data segmentation. A mature and stable database like Oracle is enough to support the storage and querying of massive amounts of data? Why do we need data slicing? Indeed, Oracle's db is really mature and stable, but the high cost of use and high-end hardware support is not a business that every company can afford. Imagine a year of tens of millions of of the cost of use and tens of millions of dollars of minicomputer as a
The current development trend of the website for the use of network load balancing is as the scale of the website increases according to different stages to use different technologies:One is through hardware. Common Hardware includes expensive NetScaler, F5, radware, array, and other commercial
is not a test. Of course, there is always a solution to the problem. We introduce the concept of clustering , which I call group, that is, each node of the library we introduce multiple machines, each machine holds the same data, in general, many of these machines load, when there is a downtime situation, The load balancer allocates the
group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer distributes the load to the machine that is down when there is an outage. This solves the problem of fault tolerance.As shown, t
concept of clustering , which I call the group, which is the node of each library we introduce multiple machines, each of which holds the same data, and in general the load is distributed by multiple machines, and the load balancer distributes the load to the machine that is down when there is an outage. This solves t
access external networks, when a computer in an external network accesses an external address owned by the address translation gateway, the address translation gateway can forward it to a mapped internal address. Therefore, if the address translation gateway can evenly convert each connection to a different internal server address, then the computers in the external network will communicate with the server on the address they have obtained, this achieves lo
logical link, which is the link aggregation Trunking) technology. It is not an independent device, it is a common technology used by switches and other network devices. As you can see, traditional Server Load balancer is only a load balancing technology. Currently, in the face of complex network application requirements, the independent Server
project, cost-effective is much higher than F5, commercial first choice! But in general this phase of the relevant talent to keep up with the business, so the purchase of commercial load balance has become the only way. The ability and quantity of talent is also increased, at this time, regardless of the development of customized products for their own, and reduce the cost of open source LVs, has become th
hardware vendors integrate this technology into their vswitches as a function of layer-4 switching, generally, the Server Load balancer policy is randomly selected and assigned based on the server connection quantity or response time. Because address translation is relatively close to the lower layer of the network, it is possible to integrate it into
Today, the ' large server ' model has been replaced by a large number of small servers, using a variety of load balancing techniques. This is a more feasible approach that minimizes the cost of hardware. The advantages of ' more small servers ' outweigh the past ' large server ' patterns in two ways: 1. If the server goes down, the load balancing system will stop
I. Concepts of reverse proxy and Server Load balancer Before understanding the concepts of reverse proxy and Server Load balancer, we must first understand the concept of a cluster. Simply put, a cluster is a server that does the same thing, such as a web cluster, database cluster, and storage cluster, the cluster has
Originalhttp://rfyiamcool.blog.51cto.com/1030776/1335700Simply put, each hardware device (such as: Hard disk, network card, etc.) need to have some form of communication with the CPU so that the CPU can know what happened, so the CPU may put down the matter to deal with the emergency, the hardware device actively disturb the CPU is the hardware interrupt. About S
Server Load balancer SLB Load Balance is built on the existing network structure. It provides a cheap, effective, and transparent method, to expand the bandwidth of network devices and servers, increase throughput, enhance network data processing capabilities, and improve network flexibility and availability. Server Load
, improving network flexibility and availability. Server Load balancer has two meanings: first, a large amount of concurrent access or data traffic is distributed to multiple node devices for separate processing, reducing the user's waiting for response time. Second, computing of a single heavy load is distributed to multiple nodesPoint devices perform parallel p
, redundancy is also necessary. This involves the design of efficient dB, which will not be repeated here. 2.1.2 why data splitting What is data splitting? A brief description and explanation are provided. Readers may wonder why data splitting is required? A mature and stable database like Oracle is enough to support the storage and query of massive data? Why do we still need data slicing? Indeed, Oracle databases are mature and stable, but the high cost of use and high-end
First, the problems encounteredWhen we deploy a Web application with an IIS server, when many users have high concurrent access, the client responds very slowly and the customer experience is poor, because when IIS accepts a client request, it creates a thread that consumes large memory when the thread reaches thousands of. At the same time, because these threads are switching, the CPU usage is also high, which makes IIS more difficult to perform. So how do we solve this problem? Second, how t
: Each request from the network is distributed to each internal server in turn, starting from 1 to n and then restarting. Example: This balancing algorithm is suitable for all servers in the server group with the same hardware and software configurations and Relatively Balanced average service requests; -Least connection algorithm (least connection ): Note: Each time the client requests the service to stay on the server, there may be a big diff
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