A new serialization format from Google’s Android gaming team, supporting C++ and Java, open source under the ASL v2. Reasons to use it:
Access to serialized data without parsing/unpacking – What sets FlatBuffers apart is that it represents hierarchical data in a flat binary buffer in such a way that it can still be accessed directly without parsing/unpacking, while also still supporting data structure evolution (forwards/backwards compatibility). Memory efficiency and speed – The only memory needed to access your data is that of the buffer. It requires 0 additional allocations. FlatBuffers is also very suitable for use with mmap (or streaming), requiring only part of the buffer to be in memory. Access is close to the speed of raw struct access with only one extra indirection (a kind of vtable) to allow for format evolution and optional fields. It is aimed at projects where spending time and space (many memory allocations) to be able to access or construct serialized data is undesirable, such as in games or any other performance sensitive applications. See the benchmarks for details. Flexible – Optional fields means not only do you get great forwards and backwards compatibility (increasingly important for long-lived games: don’t have to update all data with each new version!). It also means you have a lot of choice in what data you write and what data you don’t, and how you design data structures. Tiny code footprint – Small amounts of generated code, and just a single small header as the minimum dependency, which is very easy to integrate. Again, see the benchmark section for details. Strongly typed – Errors happen at compile time rather than manually having to write repetitive and error prone run-time checks. Useful code can be generated for you. Convenient to use – Generated C++ code allows for terse access & construction code. Then there’s optional functionality for parsing schemas and JSON-like text representations at runtime efficiently if needed (faster and more memory efficient than other JSON parsers).Looks nice, but it misses the language coverage of protobuf. Definitely more practical than capnproto.
turns out the AWS SDK has lots of tuning knobs: region selection, socket buffer sizes, and debug logging (including wire logging).
The simple woven multicoloured bracelet has made Cheong Choon Ng, a Malaysian immigrant to the US, a dollar millionaire. He invented the “Rainbow Loom” after watching his daughters making bracelets with rubber bands.So, really, it’s his daughters that invented it. ;) My kids are massive fans. This is a 100% legit, Rubik’s-Cube-style craze. (via Conor O’Neill)
BorderPatrol is an nginx module to perform authentication and session management at the border of your network. BorderPatrol makes the assumption that you have some set of services that require authentication and a service that hands out tokens to clients to access that service. You may not want those tokens to be sent across the internet, even over SSL, for a variety of reasons. To this end, BorderPatrol maintains a lookup table of session-id to auth token in memcached.
Chris Newcombe, Marc Brooker, et al. writing about their experience using formal specification and model-checking languages (TLA+) in production in AWS:
The success with DynamoDB gave us enough evidence to present TLA+ to the broader engineering community at Amazon. This raised a challenge; how to convey the purpose and benefits of formal methods to an audience of software engineers? Engineers think in terms of debugging rather than ‘verification’, so we called the presentation “Debugging Designs”. Continuing that metaphor, we have found that software engineers more readily grasp the concept and practical value of TLA+ if we dub it ‘Exhaustively-testable pseudo-code’. We initially avoid the words ‘formal’, ‘verification’, and ‘proof’, due to the widespread view that formal methods are impractical. We also initially avoid mentioning what the acronym ‘TLA’ stands for, as doing so would give an incorrect impression of complexity.More slides at http://tla2012.loria.fr/contributed/newcombe-slides.pdf ; proggit discussion at http://www.reddit.com/r/programming/comments/277fbh/use_of_formal_methods_at_amazon_web_services/
We used Knossos and Jepsen to prove the obvious: RabbitMQ is not a lock service. That investigation led to a discovery hinted at by the documentation: in the presence of partitions, RabbitMQ clustering will not only deliver duplicate messages, but will also drop huge volumes of acknowledged messages on the floor. This is not a new result, but it may be surprising if you haven’t read the docs closely–especially if you interpreted the phrase “chooses Consistency and Partition Tolerance” to mean, well, either of those things.
‘a fast, minimal memory, consistent hash algorithm that can be expressed in about 5 lines of code. In comparison to the algorithm of Karger et al., jump consistent hash requires no storage, is faster, and does a better job of evenly dividing the key space among the buckets and of evenly dividing the workload when the number of buckets changes. Its main limitation is that the buckets must be numbered sequentially, which makes it more suitable for data storage applications than for distributed web caching.’ Implemented in Guava. This is also noteworthy: ‘Google has not applied for patent protection for this algorithm, and, as of this writing, has no plans to. Rather, it wishes to contribute this algorithm to the community.’
Available in blue, orange, and grey for $2.84 from the insanely-cheap China-based DealExtreme.com. Also available: rim-based reflective stickers