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"The motivation for adding security to Apache Hadoop actually had little to do with traditional notions of security in defending against hackers since all large Hadoop clusters are behind corporate firewalls that only allow employees access. Instead, the motivation was simply that security would allow us to use Hadoop more effectively to pool resources between disjointed groups. Larger clusters are much cheaper to operate and require fewer copies of duplicated data."

"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

"The new Docker Registry 2.0 was released on April 16th, 2015. It was completely rewritten in Go with added support for the new Docker Registry HTTP API V2 (thus only working with Docker 1.6+), promising to provide faster and more secure distribution of images. If you work with Docker and for some reason decided not to use the public Docker Hub, a private Docker Registry is an essential part of your architecture. But even if you don't have private images, you will likely need to use your own registry in production/testing for efficiency. The default installation, however, runs without encryption and authentication. I was wondering what's involved in securing it. There is an official tutorial on how to configure TLS on a registry server. TLS/SSL is absolutely necessary for any secure setup, but I also wanted to enable an authentication mechanism. The Configuration Reference document describes two authentication options supported by Docker Registry itself: so-called silly and token solutions. The silly one is apparently only useful for very limited development use-cases. The token solution seems to be more serious, but because of the lack of documentation (at the time of writing), I decided to find an alternative approach to secure it. In this article I'm going to show you how to set up the Docker Registry 2.0 with username/password authentication and SSL using the official Docker Registry image and a custom configured nginx as a proxy server."

"In Forrester's 40-criteria evaluation of application programming interface (API) management solutions, we identified the 11 most significant software providers in the category - 3scale, Apigee, Axway, CA Technologies, IBM, Informatica, Intel Services, MuleSoft, SOA Software, Tibco Software, and WSO2 - and researched, analyzed, and evaluated them. This report details our findings about how well each vendor's products fulfill our criteria and where they stand in relation to each other. This analysis, combined with three buying guides that highlight key make-or-break decision factors, will help AD&D professionals select the right partner for their API management needs."

"This is the first in a series of posts about adding containers to our server farm to make it easier to scale, manage, and keep pace with our business."

"Hipache (pronounce hɪ'pætʃɪ) is a distributed proxy designed to route high volumes of http and websocket traffic to unusually large numbers of virtual hosts, in a highly dynamic topology where backends are added and removed several times per second. It is particularly well-suited for PaaS (platform-as-a-service) and other environments that are both business-critical and multi-tenant."

"Splunk Enterprise is the industry-leading platform for operational intelligence. Collect and index any machine data from virtually any source in real time. Search, monitor, analyze and visualize your data to gain new insights and intelligence. Index everything for deep visibility, forensics and troubleshooting. Work smarter as you and your team share searches and add knowledge specific to your organization. Create ad hoc reports to identify trends or prove compliance controls. Create interactive dashboards to monitor for security incidents, service levels and other key performance metrics. Analyze user transactions, customer behavior, machine behavior, security threats and fraudulent activity, all in real time."

"Comdb2 is a relational database built in-house at Bloomberg L.P. over the last 14 years or so. It started with a modest goal of replacing an older home-grown system to allow databases to stay in sync easier. SQL was added early in its development, and it quickly started replacing other relational databases in addition to its original goal. Comdb2 today holds a good chunk of Bloomberg's data, and is continually developed by a dedicated team."

Daniel Spiewak shows how to create immutable data that supports structural sharing, such as: Singly-linked List, Banker's Queue, 2-3 Finger Tree, Red-Black Tree, Patricia Trie, Bitmapped Vector Trie.