Search Results for "cache"

The primary intended use case is to monitor conditions via HTTP(S), with responses available in HTML and JSON formats. When you get back a response that includes one or more problems, you can then decide the appropriate course of action, which could include generating notifications and/or automating the replacement of a failing node with a new one. If you are monitoring health in a high-availability environment with a load balancer that returns responses from multiple nodes, please note that...

...With Zappa, each request is given its own virtual HTTP "server" by Amazon API Gateway. AWS handles the horizontal scaling automatically, so no requests ever time out. Each request then calls your application from a memory cache in AWS Lambda and returns the response via Python's WSGI interface. After your app returns, the "server" dies.

A MIB for monitoring and remote management of Varnish Cache.

...It will also have fined-tuned firewall capabilities, with a default policy of deny all inbound except HTTP HTTPS and SSH. Web browser will be sand boxed from other parts of the OS. In order to access saved passwords, cache, cookies, ect in web browser, username/password are required. Downloaded files (and any other files entering the system) will be subjected to both an exception-based and signature-based virus scan. After that, they will be placed in a leveled security storage space, each more secure--with the most secure being 50. Under 50 will be 46-49; under that is 36-45; under that is 27-25; under that is 26; under that is 14-25; under that is 6-13; under that is 5-3; lastly there is level 2 the most insecure. ...

HTTP Replicator is a general purpose caching proxy server written in python. It reduces bandwidth by merging concurrent downloads and building a local 'replicated' file hierarchy, similar to wget -r. The cache is also accessible through a web interface