Pylot is a tool for testing the performance and scalability of Web services. It runs HTTP load tests, which are useful for capacity planning, benchmarking, analysis, and system tuning. It generates concurrent loads, verifies server responses, and produces reports with metrics. Tests suites are executed and monitored from a GUI or the shell.
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.
KernScope is a simple tool that parses the contents of /proc or /sys entries on a Linux system and graph their values. It is intended for developers, admins, or the curious and aids with the understanding of system performance and behavior. Users can select any integer values for graphing with a simple syntax.
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.
Ujorm is an easy-to-use ORM framework based on key-value objects. The framework was designed for rapid Java development with great performance and a small footprint. The key features are type safe queries, relation mapping by Java code, no entity states, and a memory overloading protection cache.
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.