Setting the scale with PHP basic structures
The data exchange between multiple session servers:
Cold Fusion, the network file system, database, Memcached, Redis, Zend Server Cluster Manager, Coatings
Changing the scale PHP NFS
Advantages: No change in the PHP code
Disadvantages: inefficiency, it was not to report power when reading and writing of data designed / corruption bad
Expand the database with PHP
Sessions with common db
Db: MySQL, MS SQL Server, PostgreSQL, Oracle, etc.
Use
Raises the scalability problems that broad-based installation and DB is readily available
disadvantages
Sessions are 1: / script playback 1, header connector, performance problems and single point of failure
Setting the scale with Memcached PHP
Advantages: Can be used in RAM, high availability is stored, works fast and can be grouped
Disadvantages: No persistent data and the ability to replace RAM if they create full
Setting the scale with PHP Redis
Redis is an open source NoSQL databases, networks, persistent storage, with key-value store daily data. Redis supports not only strings, but also demanding species, such as lists, sets, arrays, hashes and other data.
Benefits :, persevering, reliable, non-blocking Incredibly fast
Disadvantages: Custom PHP session handler, not scalable and highly available without
Zend PHP scalable Cluster Server Administrator using
Zend PHP for large installations; You can build cluster PHP stack, even hundreds of servers includes
Advantages: fast, reliable and highly available, scalable, and no change in the PHP code
Disadvantages: the support of Zend Server on each cluster node
Peeling cloud hosting
scaling
With all the above steps are redundant "cloud hosting" and are managed internally. If you want to scale from one to five servers, you can automatically perform the steps 4 in just 30 seconds. In the management console by placing the cursor over 1-5 and press "send". This is "easily makes scale" as mentioned in our jargon.
downward
The implementation of a new version is also easy, just press a new version via git push and your code will be automatically distributed to all servers in just 30 seconds.
Scaling in the Amazon Cloud with DynamoDB
Amazon DynamoDB is the database service completely NoSQL data offered by Amazon Web Services manages - the scalable storage session.
Advantages: the management of native session, create a table for storing sessions, simple performance, fast and high, scalable data storage and transmission rate limit for data depending on the size and capacity of the report read / write function lock session
SQL database on a high level of abstraction: Disadvantages
Peeling cloud with Windows Azure
Successfully manage sessions in many cases requires a common database. Session Management on Windows Azure Blob and Table storage
Advantage: distributed memory, high-speed, scalable, secure, read-only data, caching and flexible
Cons: No support for SQL Azure shop management meetings; Reading, writing and erasing data session is only a little more complicated;
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