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Pacto judges the contracts between consumers and providers of RESTful services. It can aid in designing realistic test doubles, by ensuring the double complies with the same contract as the real service. It can also aid with service evolution patterns, like Consumer-Driven Contracts or Documentation-Driven Contracts. Pacto ensures consumers meet their contractual obligations: Send the required HTTP request headers Send an appropriate request body (when required) Pacto also ensures providers meet their contractual obligations: Send an appropriate response code Send the required HTTP response headers Send an appropriate response body Pacto can also ensure the provider and consumer collaborate appropriately. It can ensure that for a given scenario: The consumer calls the expected service(s) with a valid request The provider sends a valid response No unexpected services were called

"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

"Datomic is a distributed database designed to enable scalable, flexible and intelligent applications, running on next-generation cloud architectures. It does this by: Bringing declarative data manipulation into the application, and the data with it Getting time, process and perception right Process (writes) require coordination Perception (reads) require none The past doesn't change Leveraging immutability, and a sound model of state Datomic has: ACID Transactions Joins A sound data model A logical query language - Datalog Thus, Datomic avoids the compromises and losses of many NoSQL solutions. In addition, it offers flexibility and power over the traditional model in supporting: Hierarchy Multi-valued attributes Minimal schema Reliable operation on unreliable, ephemeral cloud instances Time Datomic avoids manual caching and replication, complex configuration, sharding (automatic or manual), logging, locking, latching and disk management of traditional servers."

"Amazon EC2 Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances. Amazon ECS eliminates the need for you to install, operate, and scale your own cluster management infrastructure. With simple API calls, you can launch and stop container-enabled applications, query the complete state of your cluster, and access many familiar features like security groups, Elastic Load Balancing, EBS volumes, and IAM roles. You can use Amazon ECS to schedule the placement of containers across your cluster based on your resource needs and availability requirements. You can also integrate your own scheduler or third-party schedulers to meet business or application specific requirements."

Tuleap is a full free Open Source Suite for Application Lifecycle Management. Traditional development, Requirement Management, Agile Development, IT Service management... Tuleap makes software projects more productive, collaborative and industrialized.

"HDF (Hierarchical Data Format) technologies are relevant when the data challenges being faced push the limits of what can be addressed by traditional database systems, XML documents, or in-house data formats. Leveraging the powerful HDF products and the expertise of The HDF Group, organizations realize substantial cost savings while solving challenges that seemed intractable using other data management technologies. Many HDF adopters have very large datasets, very fast access requirements, or very complex datasets. Others turn to HDF because it allows them to easily share data across a wide variety of computational platforms using applications written in different programming languages. Some use HDF to take advantage of the many open-source and commercial tools that understand HDF. Similar to XML documents, HDF files are self-describing and allow users to specify complex data relationships and dependencies. In contrast to XML documents, HDF files can contain binary data (in many representations) and allow direct access to parts of the file without first parsing the entire contents. HDF, not surprisingly, allows hierarchical data objects to be expressed in a very natural manner, in contrast to the tables of relational database. Whereas relational databases support tables, HDF supports n-dimensional datasets and each element in the dataset may itself be a complex object. Relational databases offer excellent support for queries based on field matching, but are not well-suited for sequentially processing all records in the database or for subsetting the data based on coordinate-style lookup."

"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."

Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.

"Our project (titled xstream)  concentrated on evaluation of XPath over XML streams. This research area contains multiple challenges resulting  from both the richness  of the language and the requirement of having only a single  pass over the data. We modified and extended one of the known algorithms, TurboXPath  [4], a tree-based IBM algorithm. We also  provide extensive comparative analysis between  TurboXPath and XSQ [5], currently the most advanced of  finite automata (FA)-based algorithms."

En SCT, luego de muchos intentos, renunciamos a implementar algo así... y acá está hecho. Excelente: This allows restriction of access privileges by role to ensure granular security at a per-field level. View, search, initialize or update DataSource fields requiring specific roles with automatic consequences in the UI.

The required techniques of effective reasoning are pretty formal, but as long as programming is done by people that don't master them, the software crisis will remain with us and will be considered an incurable disease.

"Apache Hama is a pure BSP (Bulk Synchronous Parallel) computing framework on top of HDFS (Hadoop Distributed File System) for massive scientific computations such as matrix, graph and network algorithms. Today, many practical data processing applications require a more flexible programming abstraction model that is compatible to run on highly scalable and massive data systems (e.g., HDFS, HBase, etc). A message passing paradigm beyond Map-Reduce framework would increase its flexibility in its communication capability. Bulk Synchronous Parallel (BSP) model fills the bill appropriately. Some of its significant advantages over MapReduce and MPI are: * Supports message passing paradigm style of application development * Provides a flexible, simple, and easy-to-use small APIs * Enables to perform better than MPI for communication-intensive applications * Guarantees impossibility of deadlocks or collisions in the communication mechanisms"

"Microservices based architectures are not new but are suddenly in the spotlight due to their powerful and sophisticated practices enabling streamlined application development and deployment. However, transitioning from a monolithic approach to a microservices-based architecture requires not only technical expertise, but organizational buy-in as well. In a recent ActiveState webinar, John Wetherill and Phil Whelan discussed a number of tips and tricks to help companies transition to and get the most out a microservices-based approach."

"Bolt is a pure Go key/value store inspired by Howard Chu's and the LMDB project. The goal of the project is to provide a simple, fast, and reliable database for projects that don't require a full database server such as Postgres or MySQL."

"Colossus is a lightweight framework for building high-performance applications in Scala that require non-blocking network I/O. In particular Colossus is focused on low-latency stateless microservices where often the service is little more than an abstraction over a database and/or cache. For this use case, Colossus aims to maximize performance while keeping the interface clean and concise."

DRBL (Diskless Remote Boot in Linux) is a solution to managing the deployment of the GNU/Linux operating system across many clients. Imagine the time required to install GNU/Linux on 40, 30, or even 10 client machines individually! DRBL allows for the configuration all of your client computers by installing just one server machine. DRBL provides a diskless or systemless environment for client machines. It works on Debian, Ubuntu, Mandriva, Red Hat, Fedora, CentOS and SuSE. DRBL uses distributed hardware resources and makes it possible for clients to fully access local hardware.

"In 2010 we led the seed round for Docker (formerly known as dotCloud) for one simple reason: devops means that the way applications are packaged, deployed, and run is fundamentally changing (though Docker's business model has evolved since its early days as a PaaS vendor, the fundamental premise is the same).  Rather than requiring custom configurations and painstaking management, Docker "containerizes" applications components such that every container is lightweight and behaves consistently.  Applications and their underlying components can be programmatically deployed, managed and moved on ever-changing cloud infrastructure without a hint of operating system or hardware configuration.  In a pre-Docker world, companies with tremendous and evolving application demands looked to virtualization as a way of abstracting their infrastructure, but paid a tax in dollars and performance for doing so. In the future we think of Docker will take the mantle as the VMware of the devops world, with containers as the ultimate devops platform."

"CFSSL is CloudFlare's PKI/TLS swiss army knife. It is both a command line tool and an HTTP API server for signing, verifying, and bundling TLS certificates. It requires Go 1.10+ to build."

"Per Thorsheim, Microsoft's Dr. Cormac Herley, the UK's NCSC, the Chief Technologist at FTC, I and many others are working hard to kill password expiration. Password expiration is when an organization requires their staff to change their passwords every 60, 90 or XX number of days. Password expiration is also a great example of how security professionals fail by simply repeating old myths or focusing on just mitigating risk, forgetting about the cost or impact of those mitigating controls. Here's is why password expiration must die."