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Pablo Lalloni

CopyFS - 1 views

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    CopyFS aims to solve a common problem : given a directory, especially one full of configuration files, or other files that one can modify, and which can affect the functionning of a system, or of programs, that may be important to other users (or to the user himself), how to be sure that a person modifying the files will do a backup of the working version first ? This filesystem solves the problem by making the whole process transparent, automatically keeping versionned copies of all the changes done to file under its control. It also allows a user to select an old version of the files, for example to repair a mistake, and allows him/her to continue edition from this point.
Pablo Lalloni

Apache Phoenix - 0 views

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    "Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. The table metadata is stored in an HBase table and versioned, such that snapshot queries over prior versions will automatically use the correct schema. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows. "
Pablo Lalloni

Apache Phoenix - 0 views

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    "Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. The table metadata is stored in an HBase table and versioned, such that snapshot queries over prior versions will automatically use the correct schema. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows."
Pablo Lalloni

Multi version support in the IDE : Choose your Scala Installation - 1 views

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    Y finalmente... soporte para múltiples versiones de scala en la misma instalación de scala-ide!
Pablo Lalloni

Introduction - Terraform - 2 views

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    "Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Configuration files describe to Terraform the components needed to run a single application or your entire datacenter. Terraform generates an execution plan describing what it will do to reach the desired state, and then executes it to build the described infrastructure. As the configuration changes, Terraform is able to determine what changed and create incremental execution plans which can be applied. The infrastructure Terraform can manage includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc. The key features of Terraform are: Infrastructure as Code: Infrastructure is described using a high-level configuration syntax. This allows a blueprint of your datacenter to be versioned and treated as you would any other code. Additionally, infrastructure can be shared and re-used. Execution Plans: Terraform has a "planning" step where it generates an execution plan. The execution plan shows what Terraform will do when you call apply. This lets you avoid any surprises when Terraform manipulates infrastructure. Resource Graph: Terraform builds a graph of all your resources, and parallelizes the creation and modification of any non-dependent resources. Because of this, Terraform builds infrastructure as efficiently as possible, and operators get insight into dependencies in their infrastructure. Change Automation: Complex changesets can be applied to your infrastructure with minimal human interaction. With the previously mentioned execution plan and resource graph, you know exactly what Terraform will change and in what order, avoiding many possible human errors."
Pablo Lalloni

Pandoc - 0 views

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    If you need to convert files from one markup format into another, pandoc is your swiss-army knife. Pandoc can convert documents in markdown, reStructuredText, textile, HTML, DocBook, or LaTeX to:  * HTML formats: XHTML, HTML5, and HTML slide shows using Slidy, Slideous, S5, or DZSlides.  * Word processor formats: Microsoft Word docx, OpenOffice/LibreOffice ODT, OpenDocument XML  * Ebooks: EPUB version 2 or 3, FictionBook2  * Documentation formats: DocBook, GNU TexInfo, Groff man pages  * TeX formats: LaTeX, ConTeXt, LaTeX Beamer slides  * PDF via LaTeX  * Lightweight markup formats: Markdown, reStructuredText, AsciiDoc, MediaWiki markup, Emacs Org-Mode, Textile
Pablo Lalloni

thinkaurelius/faunus - 0 views

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    "Faunus is a property graph analytics engine based on Hadoop. A breadth-first version of the graph traversal language Gremlin operates on a vertex-centric property graph data structure. Faunus can be extended with new operations written using MapReduce and Blueprints."
carlosmiranda

Scala's version fragility make the Enterprise argument near impossible - Lift - 2 views

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    un issue que scala debe resolver si quiere crecer!!! 
Pablo Lalloni

Eclipse Gemini Blueprint - Home - 0 views

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    Gemini Blueprint project makes it easy to build Java applications that run in an OSGi framework. By using Gemini Blueprint, applications benefit from using a better separation of modules, the ability to dynamically add, remove, and update modules in a running system, the ability to deploy multiple versions of a module simultaneously (and have clients automatically bind to the appropriate one), and a dynamic service model.
Pablo Lalloni

Slick 2.0.0 - 0 views

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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
Pablo Lalloni

Unveiling Play 2.1 Json API - Part 1 : JsPath & Reads combinators - Mandubian Blog - 0 views

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    "In incoming Play2.1 version, a huge re-thinking has been done about JSON API provided by Play2.0.x which provides some great features but is clearly just the tip of the iceberg… Here is a first presentation of those evolutions aimed at unleashing your JSON usage in Play2 and revealing new forms of manipulation of web dataflows from/to external data systems. A usecase of this is manipulating DB structures directly using Json without any class models for document oriented structures such as MongoDB"
Pablo Lalloni

Introduction - Terraform - 2 views

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    "Terraform is a tool for building, changing, and versioning infrastructure safely and efficiently. Terraform can manage existing and popular service providers as well as custom in-house solutions. Configuration files describe to Terraform the components needed to run a single application or your entire datacenter. Terraform generates an execution plan describing what it will do to reach the desired state, and then executes it to build the described infrastructure. As the configuration changes, Terraform is able to determine what changed and create incremental execution plans which can be applied. The infrastructure Terraform can manage includes low-level components such as compute instances, storage, and networking, as well as high-level components such as DNS entries, SaaS features, etc."
Pablo Lalloni

http://resources.idgenterprise.com/original/AST-0137772_WebSphere_Portal_Version_8.0_Re... - 0 views

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    IBM WebSphere Portal and Web Content Manager Version 8.0.0.1 Reviewer's guide
Pablo Lalloni

ai/browserslist - 0 views

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    "Get browser versions that match given criteria."
Pablo Lalloni

A Deeper Look at Reactive Streams with Akka Streams 1.0 and Slick 3.0 - Free E-Books | ... - 0 views

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    "Reactive Streams is an engineering collaboration between heavy hitters in the area of streaming data on the JVM. With the Reactive Streams Special Interest Group, we set out to standardize a common ground for achieving statically-typed, high-performance, low latency, asynchronous streams of data with built-in non-blocking back pressure-with the goal of creating a vibrant ecosystem of interoperating implementations, and with a vision of one day making it into a future version of Java."
Pablo Lalloni

Microservices and PaaS - Part I | ActiveState - 0 views

  • Instead of building software that resembles our existing organizations, we should figure out how we want our software to look, then build the organization around that. Or reorganize it if it's already in place.
    • Pablo Lalloni
       
      Las implicancias de esta idea en nuestra organización...
  • When deploying a new feature, enhancing or fixing an existing capability, or deploying an experimental line of code, the previous code remains available and accessible. New code is deployed alongside the old code, with mechanisms in place to instantly route to one or another version.
  • Importantly, the old code is not replaced, but remains part of the system, and is kept running. If, as is often the case, the widespread introduction of the new feature results in unforeseen consequences, the feature flag can be toggled off, and the old version is instantly used instead.
  • ...13 more annotations...
  • In a microservices architecture, an application is comprised of a number of small, independent composable services that interact by way of an external published protocol, such as REST, or a messaging service.
  • Each service is focused on an individual targeted business capability, and thus its scope is minimized. For functionality out of scope, the microservice calls out to other microservices via the published protocol.
  • Small independent microservices can be built using the technology best suited for their requirements. No longer does every application component need to be built on a common company-mandated language and framework such as Java/Spring or Ruby on Rails.
  • Similarly, there's no reason to standardize on a single persistence layer across an entire application. Some microservices might best be served by Redis, others by Oracle.
  • Each microservice can be updated independently, no longer requiring the entire application to be redeployed.
  • Microservices drastically improve the time required to push out a new update, allowing a much more agile development process.
  • Many organizations consist of specialized silo teams (UI, database, API, etc) where costly handoffs and intercommunication are required to coordinate all the pieces of application construction. These handoffs cause overhead, and the need for them should be eliminated.
  • With small teams, each focused on an individual microservice, Netflix enables developers to push code to production, instead of getting mired in a complex deployment process involving several teams.
  • With microservices, the old IT mindset just doesn't work.
  • A centralized IT department cannot possibly cover the wide array of technologies spanning all microservices.
  • Instead a DevOps structure, where each team is responsible for the management of the corresponding microservice, is essential.
  • Enable developers to concoct systems of their choosing with minimal or no interaction from IT, management, VPs, hardware or other groups. "Self Service" is one of the major capabilities offered by the cloud and there's every reason to take advantage of this.
  • Now, IT can be considered as a cloud API available to the developer on-demand 24x7, instead of a complex, process-mired division hidden behind obscure process.
Pablo Lalloni

twitter/ostrich - 0 views

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    Ostrich is a library for servers that makes it easy to:  * load & reload per-environment configuration  * collect runtime statistics (counters, gauges, metrics, and labels)  * report those statistics through a simple web interface (optionally with graphs) or into log files  * interact with the server over HTTP to check build versions or shut it down
Pablo Lalloni

robfig/glock - 0 views

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    "Glock is a command-line tool to lock dependencies to specific revisions, using a version control hook to keep those revisions in sync across a team."
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