Flexviews adds materialized view support to MySQL. Flexviews includes FlexCDC, a change data capture utility which reads MySQL binary logs and produces "change log" tables. These tables can be used to incrementally refresh materialized views, which can be significantly faster than completely rebuilding the views each time. Flexviews also supports "complete refresh" materialized views, which are always rebuilt from scratch each time.
allmon is a generic system for collecting and storing various runtime metrics collections used for system performance, health, quality, and availability monitoring purposes. The system also provides a set of data-mining algorithms useful for further performance analysis. Allmon is designed to harvest different metrics values coming from many areas of monitoring infrastructure. The collected data are based on quantitative and qualitative performance and availability analysis. Allmon collaborates with other analytical tools for OLAP multidimensional analysis and data mining processing. The tool can be used for production as well as for development (profiling) and QA (load testing) purposes.
Django-live-profiler is a low-overhead data access and code profiler for Django-based applications. Profiling Web applications on a development environment often produces misleading results due to different patterns in the data, different patterns in user behavior, and differences in infrastructure. All existing DB access profiling solutions for Django seem to focus on a single request, but in the real world certain queries might be negligible in a single request while still putting a considerable strain the database across all requests. Django-live-profiler aims to solve these issues by collecting database usage data from a live application.
Metrix++ is a platform to collect and analyze code metrics. It has a plugin-based architecture, so it is easy to add support for new languages, define new metrics, and/or create new pre- and post-processing tools. Every metric has 'turn-on' and other configuration options. There are no predefined thresholds for metrics or rules; you can choose and configure any limit you want. It scales well to large codebases. For example, initial parsing of about 10000 files takes 2-3 minutes on an average PC, and only 10-20 seconds for iterative re-run. Reporting summary results and exceeded limits takes less than 1 - 10 seconds. It can compare results for 2 code snapshots (collections) and differentiate added regions (classes, functions, etc.), modified regions, and unchanged regions. As a result, easy deployment is guaranteed into legacy software, helping you to deal with legacy code efficiently, and either enforce the 'leave it not worse than it was before' rule or motivate re-factoring.
CSS Import Resolver resolves the @import url(...); statements in input CSS files (by replacing the @import statement with the actual content of the linked CSS) and creates a huge CSS output (written to STDOUT by default). Including the combined CSS in your Web pages will improve the performance of a site by avoiding additional HTTP roundtrips.
BitNami Spree Stack greatly simplifies the deployment of Spree and its required dependencies. It can be deployed using a native installer, as a virtual machine, in the cloud, or as a module over an already installed infrastructure stack. Spree is a very powerful and flexible e-commerce platform written for the Ruby on Rails framework.