Speed up your web server with memcached distributed caching
To prevent RAM fragmentation, the daemon uses a slab allocator  for memory management. This method specializes in repeatedly reserving and releasing small chunks of memory. In the case of memcached, small means a maximum of 1MB; the daemon will not accept anything bigger than this. If you want to store more, you need to distribute the data over multiple keys or use a different caching system.
Memcached does not concern itself with security. Clients do not need to authenticate against the daemon. Anybody who can access the network can access the cache without reserve. An attacker who knows the usernames behind the keys can systematically ask all the daemons for these names. Cryptic keys can help provide some rudimentary protection. To generate them, you need to hash the usernames in the scope of your own application and then use the results as keys. All account data should be deleted from the cache after use. Also, it is a good idea to define a limited lifetime for the data and to add more layers of security, starting with a firewall to protect the server farm against outside attacks.
Memcached is easy to set up and integrate with existing applications, but this convenience comes at the price of a number of worrisome vulnerabilities. If you manage to address these issues, you get a very fast, distributed cache that will not fail you – even in extreme conditions. The system demonstrates its value day after day on LiveJournal and Slashdot. At the same time, the system is extremely frugal. Because memcached mainly generates hashes, CPU power is not at a premium, and you can even use older computers as cache providers.
- Memcached: http://www.danga.com/memcached
- Overview of client libraries: http://code.google.com/p/memcached/wiki/Clients
- Inside the protocol: http://code.google.com/p/memcached/wiki/MemcacheBinaryProtocol
- Libmemcached: http://tangent.org/552/libmemcached.html
- How a hash table works: http://en.wikipedia.org/wiki/Hash_table
- How a slab allocator works: http://en.wikipedia.org/wiki/Slab_allocator
The whole distro gets rebuilt on glibc 2.3
Ubuntu Vendor tries to solve app packaging and distribution problem across distributions.
Founder of ownCloud launches the Nextcloud project.
Will The Machine change the way future programmers think about memory?
The new Torus distributed storage system is available under an open source license on GitHub
Juries decides Google’s use of Java APIs Was Fair Use
But if you are not using the latest Linux kernel, your system is insecure.
Home routers will give room for custom firmware but still comply with FCC rules
Frank Karlitschek will continue to lead the open source ownCloud project
“Xenial Xerus” comes with a new packages format and several improvements for the enterprise.