- Fixed one issue with native memory allocator used internally by Koda which greatly affected multithreaded update performance. The preliminary test numbers are ~ 4M queries per sec with 90/10 read/write ratio (which is up 15%). I think for 50/50 ratio performance gain must be much larger.
- Implemented persistence layer support (which is based on a very promising leveldb library). The support is not integrated yet (will be working on this later on next week)
- Currently working on compression support (snappy and gzip) for Koda.
Thursday, August 18, 2011
Tuesday, August 2, 2011
Befriend US government. Read this passage carefully:
The long-term goal is for SAP to be seen as a provider of insight – cheap and fast, in near real time. Of course, that seems like the goal of every old-line hardware and software giant who is trying to move to the world of cloud computing. McDermott has his own proof points, including a job the company did for Recovery.gov that enables citizens to quickly identify which portions of U.S. geography received what portion of $800 billion in economic stimulus spending. “Traditional vendors said ‘We can do it in a couple of years, for a couple hundred million dollars,” McDermott says. “We did it for single-digit millions.”
That is it. "Single digit millions" for web-site back-end which can be built by a group of oDesk developers for couple months and with budget << 50K.