{"id":2223,"date":"2012-06-20T12:00:15","date_gmt":"2012-06-20T12:00:15","guid":{"rendered":"http:\/\/cloudnewsdaily.com\/?p=10689"},"modified":"2012-06-20T12:00:15","modified_gmt":"2012-06-20T12:00:15","slug":"taking-in-memory-nosql-to-the-next-level","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/taking-in-memory-nosql-to-the-next-level\/","title":{"rendered":"Taking In-Memory NoSQL to the Next Level"},"content":{"rendered":"<\/p>\n

Guest Post by Ofer Bengal, Co-Founder & CEO, Garantia Data<\/a> <\/strong><\/span><\/span><\/p>\n

 <\/p>\n

\n\t\"Ofer<\/p>\n

Ofer Bengal has founded and led companies in data communications, telecommunications, Internet, homeland security and medical devices.<\/p>\n<\/div>\n

Today Garantia Data is launching the first in-memory NoSQL cloud that promises to change the way people use <\/span><\/span><\/span>Memcached<\/span><\/span> and Redis. I think this is a great opportunity to examine the state of these RAM-based data stores and to suggest a new, highly-efficient way of operating them in the cloud.<\/span><\/span><\/span><\/p>\n

Challenges of Cloud Computing<\/strong><\/span><\/span><\/span><\/p>\n

Memcached and Redis are being increasingly adopted by today\u2019s web-applications, and are being used to scale-out their data-tier and significantly improve application performance (in many cases improvement is x10 over standard RDBMS implementation).\u00a0However, cloud computing has created new challenges in the way scaling and application availability should be handled and using Memcached and Redis in their simple form may not be enough to cope with these challenges. <\/strong><\/span><\/span><\/span><\/p>\n

Memcached<\/strong><\/span><\/span><\/span><\/p>\n

It\u2019s no secret Memcached does wonders for websites that need to quickly serve up dynamic content to a rapidly growing number of users. Facebook, Twitter, Amazon and YouTube, are heavily relying on Memcached to help them scale out; Facebook handles millions of queries per second with Memcached.
\nBut Memcached is not just for giants. Any website concerned with response time and user based growth should consider Memcached for boosting its database performance. That\u2019s why over 70% of all web companies, the majority of which are hosted on public and private clouds, currently use Memcached.<\/span><\/span><\/span><\/p>\n

Local Memcached<\/strong><\/span><\/span><\/span>\u00a0is the simplest and fastest caching method because you cache the data in the same memory as the application code. Need to render a drop-down list faster? Read the list from the database once, and cache it in a Memcached HashMap. Need to avoid the performance-sapping disk trashing of an SQL call to repeatedly render a user\u2019s personalized Web page? Cache the user profile and the rendered page fragments in the user session.<\/span><\/span><\/span><\/p>\n

Although local caching is fine for web applications that run on one or two application servers, it simply isn\u2019t good enough when the data is too big to fit in the application server memory space, or when the cached data is updated and shared by users across multiple application servers and user requests. In such cases user sessions, are not bound to a particular application server. Using local caching under these conditions may end up providing a low hit-ratio and poor application performance.<\/span><\/span><\/span><\/p>\n

Distributed Memcached<\/strong><\/span><\/span><\/span>\u00a0tends to improve local caching by enabling multiple application servers to share the same cache cluster. Although the Memcached client and server codes are rather simple to deploy and use, Distributed Memcached suffers from several inherent deficiencies:<\/span><\/span><\/span><\/p>\n