Cache Engines

As technology is progressing, end users’ expectations change from just availability of online content, towards easy and quick access of resources. In order to maintain a web portal’s usage, page load time and first byte response time has to be minimal, which becomes a challenge given the heavy server dependency and presentation layer issues. A cache engine can provide a solution to this problem which primarily stores the previously accessed content locally and serves it the next time which speeds up access to data and reduces demand on an enterprise’s bandwidth. Cache servers also allow users to access content offline, including rich media files or other documents. Caching thus essentially takes load off database enabling your web application server to serve content much faster.


When looking for high performance, cache engines and caching architecture is a start which can be then followed up / utilised along with database replications and reverse proxy implementations. As there are many options available for accomplishing one aim, you require expert advice to decide your caching and performance strategy including choice of caching technology for your application. Whether in memory caching is better or on disk caching would be better along with caching syncing across multiple data stores and such decisions can = be best implemented while working closely with our expertise.

Content Delivery / Distribution Network

CDN is a large distributed system of servers deployed in multiple data centers across the internet, which serve content to end-users with high availability & high performance. They serve a large fraction of the internet content today, including web objects (text, graphics, scripts), downloadable objects (media files, software, docs), apps (eCommerce, portals), live streaming media, on-demand streaming media, & social networks


An open-source, distributed NoSQL document-oriented db that is optimized for interactive applications. Such applications must serve many concurrent users by creating, storing, retrieving, aggregating, manipulating & presenting data. Couchbase is designed to provide easy-to-scale key-value or document access with low latency & high sustained throughput. It supports clustering from a single machine to very large-scale deployments spanning many machines


A data structure server which stores keys in memory to be served quickly, it allows replication, clustering & configurable persistence. It is recommended if you want a highly scalable data store shared by multiple processes, applications, or servers or just as a caching layer


Its an in-memory key-value store for small chunks of arbitrary data from results of database or API calls, or page rendering. It helps in speeding up dynamic web applications by alleviating database load. When implemented correctly memcache allows for optimum memory usage & allocation for high performance