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.
BlackRay is a relational database system designed to offer performance features commonly associated with search engines. It offers SQL support and sophisticated operational and management features. Load-balancing and operational stability by means of N+1 redundance are included. BlackRay is called a "Data Engine" since it combines traditional, relational database features and SQL with the power and flexibility of search engines. It is a true hybrid, offering transaction support, data-versioned snapshots, and sophisticated function-based indices. Wildcards, phonetic, and fuzzy logic searches are supported, as well. BlackRay supports a subset of the SQL92 standard and provides JDBC/ODBC/native driver options via the PostgreSQL protocol, in addition to an API based query option. The project is released under the GPLv2, with some drivers available under BSD-style licenses. Commercial support contracts are available as well.
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.
ContiPerf is a lightweight testing utility to easily leverage JUnit 4 test cases as performance tests, e.g. for continuous performance testing. It is inspired by JUnit 4's easy test configuration with annotations, and by JUnitPerf's idea of wrapping Unit tests for performance testing, but is more powerful and easier to use. It uses Java annotations for defining test execution characteristics and performance requirements. You can mark a test to run a certain number of times, or to be repeatedly executed for a certain amount of time. Performance requirements can be maximum, average, medium, or any percentile execution time. You can run tests in two different modes, using them as simple unit tests or performance tests. Easy integration with Eclipse and Maven. Export of an execution summary to a CSV file. A small library without external dependencies (only JUnit).
Data Shovel Pinnacle Performance Utilities is a collection of utilities for large input/output tasks. bare takes line feed-separated file names on standard input and concatenates the file contents on standard output. baresha512 takes line feed-separated file names on standard input and provides the SHA512 message digest for the concatenated file content on standard output. Both can optionally open and read files with O_DIRECT, bypassing the kernel's block cache. cock provides a digital petcock. It relives I/O pressure on the kernel by rate limiting data throughput. It can auto-throttle to mitigate lag spikes, or use a specified megabytes-per-second rate limit.
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.
Embedded Profiler is low-overhead C++ profiler based on automatic instrumentation of functions done by the compiler (GCC, MinGW, or MSVC). Profiling can be done either automatically or manually. Automatic profiling generates a complete call tree and needs no modification of code. Manual profiling requires using the EProfiler API to specify the parts of code to be profiled. The resulting log can be opened in Performance Analyzer, a GUI application with several views designed for comfortable log analysis.
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.