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Create and run cloud-based virtual machines.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
...It's been designed with flexibility in mind - it's not just another bug
tracker. Roundup ships with a *demo tracker* to play with - after
you've unpacked the source, just run "python demo.py" and load up the
URL it prints out!
Get current development source from mercurial repo at: <https://sourceforge.net/p/roundup/code/ci/default/tarball?path=>
...We’ve built up a library of “fuzzy” string matching routines to help us along. And good news! We’re open sourcing it. The library is called “Fuzzywuzzy”, the code is pure python, and it depends only on the (excellent) difflib python library.
The e-Crime Reporting and Incident Sharing Project via XML, is developing a repository of conversion tools and utilities to make it easier to convert proprietary data formats to IETF IODEF (RFC 5070) XML reports.
An initial tool to submit data to a repository wascreated in java.
Subsequent tool devlopment was done in python as a set of scripts to allow submittors to do higher volume submissions. [This code is available in the git 'scripts' repository.]
Preparing custom time field support for Trac trunk, based on Trac-0.12dev_r9115 so far. This is mainly to expose code to interested developers and enable collaboration via distributed VCS (Mercurial for now).
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