Munin Monitoring
What is Munin? Munin is a networked resource monitoring tool that can help analyze resource trends and "what just happened to kill our performance?" problems. It is designed to be very plug and play. A default installation provides a lot of graphs with almost no work. In Norse mythology Hugin and Munin are the ravens of the god king Odin. They flew all over Midgard for him, seeing and remembering,
ReferenceProperty prefetching in App Engine - Nick's Blog
Posted by Nick Johnson | Filed under python, tech, app-engine, cookbook, coding This post is a brief interlude in the webapps on App Engine series. Fear not, it'll be back! Frequently, we need to do a datastore query for a set of records, then do something with a property referenced by each of those records. For example, supposing we are writing a blogging system, and we want to display a list of
Tornado Web Server — Tornado 6.5.7 documentation
¶ Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed. By using non-blocking network I/O, Tornado can scale to tens of thousands of open connections, making it ideal for long polling, WebSockets, and other applications that require a long-lived connection to each user. Quick links¶ Current version: 6.5.7 (download from PyPI, release notes) Sour
Finding and fixing memory leaks in Python - amix blog
Finding and fixing memory leaks can be a real challenge, but luckily Python has some pretty good tools for spotting these things. I have already written about this issue and this post will go into more details on how to spot and debug a memory leak in MySQLdb, which is the standard Python wrapper for MySQL.Introducing Dozer Dozer is a WSGI middleware that displays sparklines of Python object count
Django tip: Caching and two-phased template rendering | Holovaty.com
We've launched user accounts at EveryBlock, and we faced the interesting problem of needing to cache entire pages except for the "You're logged in as [username]" bit at the top of the page. For example, the Chicago homepage takes a nontrivial amount of time to generate and doesn't change often -- which means we want to cache it -- but at the same time, we need to display the dynamic bit in the upp
Tips to keep your Django/mod_python memory usage down - WebFaction
Updated May 31 at 08:05 CDT (first posted May 30 at 09:57 CDT) by Remi in Django, Memory, Tips - 10 comment(s) Most people manage to run their Django site on mod_python within the memory limits of their "Shared 1" or "Shared 2" plans but a few people are struggling to stay within the limits. So here are a few tips that you can use to try and keep your memory usage down when using Django on mod_py
App Engine documentation | Google Cloud Documentation
Send feedback App Engine documentation Stay organized with collections Save and categorize content based on your preferences. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. You can choose from several popular languages, libraries, and frameworks to develop your apps, and then let App Engine take care of provisioning servers and scaling your
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cmemcache — Roidelapatate
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