![]() It's also possible to automatically remove the affected server from the consistent hashing algorithm or provide memcached with a failover server that can take the place of the unresponsive server. ArangoDB makes it much easier to build high-performance applications and scale with data models. The following line of code will help you shift to the new database. We will use the following line of code to create a new database. There are different ways to handle errors for example, when a server becomes unavailable you can configure the client to see all requests to that server as cache misses until it goes up again. In this chapter, we will learn the different operations with Arangosh. The algorithm that is used for consistent hashing is the same as libketama. Consistent hashing is a scheme that provides a hash table functionality in a way that adding or removing a server node does not significantly change the mapping of the keys to server nodes. We use consistent hashing to store the data across different nodes. See the sample arangodb.d/conf.yaml for all available configuration options. memcached is built with scaling, high availability and exceptional performance in mind. Edit the arangodb.d/conf.yaml file in the conf.d/ folder at the root of your Agent’s configuration directory to start collecting your ArangoDB performance data. Memcached is a fully featured Memcached client for Node.js. ![]() Memcached - A fully featured Memcached client build on top of Node
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