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"These are the major new features added since Slick 1.0.1: A code generator that reverse-engineers the database schema and generates all code required for working with Slick. New driver architecture to allow support for non-SQL, non-JDBC databases. Table definitions in the Lifted Embedding use a new syntax which is slightly more verbose but also more robust and logical, avoiding several pitfalls from earlier versions. Table definitions (and their * projections) are not restricted to flat tuples of columns anymore. They can use any type that would be valid as the return type of a Query. The old projection concatenation methods ~ and ~: are still supported but not imported by default. In addition to Scala tuples, Slick supports its own HList abstraction for records of arbitrary size. You can also add support for your own record types with only a few lines of code. All record types can be used everywhere (including table definitions and mapped projections) and they can be mixed and nested arbitrarily. Soft inserts are now the default, i.e. AutoInc columns are automatically skipped when inserting with +=, ++=, insert and insertAll. This means that you no longer need separate projections (without the primary key) for inserts. There are separate methods forceInsert and forceInsertAll in JdbcProfile for the old behavior. A new model for pre-compiled queries replaces the old QueryTemplate abstraction. Any query (both, actual collection-valued Query objects and scalar queries) or function from Column types to such a query can now be lifted into a Compiled wrapper. Lifted functions can be applied (without having to recompile the query), and you can use both monadic composition of Compiled values or just get the underlying query and use that for further composition. Pre-compiled queries can now be used for update and delete operations in addition to querying. threadLocalSession has been renamed to dynamicSession and the corresponding methods have distinct names (e.g. w

"Internet Routing: It's a program (well, a daemon, as you are going to discover in a moment) which works as a dynamic router in an Internet type network (that is, in a network running either the IPv4 or the IPv6 protocol). Routers are devices which forward packets between interconnected networks in order to allow hosts not connected directly to the same local area network to communicate with each other. They also communicate with the other routers in the Internet to discover the topology of the network which allows them to find optimal (in terms of some metric) rules for forwarding of packets (which are called routing tables) and to adapt themselves to the changing conditions such as outages of network links, building of new connections and so on. Most of these routers are costly dedicated devices running obscure firmware which is hard to configure and not open to any changes (on the other hand, their special hardware design allows them to keep up with lots of high-speed network interfaces, better than general-purpose computer does). Fortunately, most operating systems of the UNIX family allow an ordinary computer to act as a router and forward packets belonging to the other hosts, but only according to a statically configured table."

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"What is Aurora? Platforms like Twitter operate across tens of thousands of machines, with hundreds of engineers deploying software daily. In this type of environment, automation is critical. Aurora is software that keeps services running in the face of many types of failure, and provides engineers a convenient, automated way to create and update these services. To accomplish this, Aurora leverages the Apache Mesos cluster manager, which provides information about the state of the cluster. Aurora uses that knowledge to make scheduling decisions. For example, when a machine experiences failure Aurora automatically reschedules those previously-running services onto a healthy machine in order to keep them running."

"1. The Government has already made a commitment to Big Data by classifying it as one of the 'Eight Great Technologies' which will propel the UK to future growth and help it stay ahead in the global race. The 'Information Economy Strategy' reports on the increase in data being generated and the importance of new types of computing power in order to reap the economic value of the data. 2. This paper sets out to cover the following areas: a) Defining Big Data b) High-level trends in Big Data c) Opportunities for Big Data applications 3. In developing this paper, a 'community of interest' has been established comprising policy leads and analysts from across government with an interest in Big Data. This paper draws on their insights, insights from the private sector, academics, and the extensive open source literature on the Big Data topic."

"NIST recently published its four-volume SP800-63b Digital Identity Guidelines. Among other things, it makes three important suggestions when it comes to passwords: Stop it with the annoying password complexity rules. They make passwords harder to remember. They increase errors because artificially complex passwords are harder to type in. And they don't help that much. It's better to allow people to use pass phrases. Stop it with password expiration. That was an old idea for an old way we used computers. Today, don't make people change their passwords unless there's indication of compromise. Let people use password managers. This is how we deal with all the passwords we need."

shapeless is an exploration of generic (aka polytypic) programming in Scala derived from the various talks I've given over the course of 2011 on implementing scrap your boilerplate and higher rank polymorphism in Scala.