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Pablo Lalloni

jepsen-io/jepsen: A framework for distributed systems verification, with fault injection - 0 views

github.com/jepsen

development tools testing distributed-computing system-verification architecture

shared by Pablo Lalloni on 22 Dec 18 - No Cached
  • Pablo Lalloni on 22 Dec 18
     
    "Breaking distributed systems so you don't have to. Jepsen is a Clojure library. A test is a Clojure program which uses the Jepsen library to set up a distributed system, run a bunch of operations against that system, and verify that the history of those operations makes sense. Jepsen has been used to verify everything from eventually-consistent commutative databases to linearizable coordination systems to distributed task schedulers. It can also generate graphs of performance and availability, helping you characterize how a system responds to different faults. See jepsen.io for examples of the sorts of analyses you can carry out with Jepsen."
Pablo Lalloni

Giraph - Welcome To Apache Giraph! - 0 views

giraph.apache.org

development programming cloud-computing graph pregel distributed-computing

shared by Pablo Lalloni on 08 Jul 13 - No Cached
  • Pablo Lalloni on 08 Jul 13
     
    "Apache Giraph is an iterative graph processing system built for high scalability. For example, it is currently used at Facebook to analyze the social graph formed by users and their connections. Giraph originated as the open-source counterpart to Pregel, the graph processing architecture developed at Google and described in a 2010 paper. Both systems are inspired by the Bulk Synchronous Parallel model of distributed computation introduced by Leslie Valiant. Giraph adds several features beyond the basic Pregel model, including master computation, sharded aggregators, edge-oriented input, out-of-core computation, and more. With a steady development cycle and a growing community of users worldwide, Giraph is a natural choice for unleashing the potential of structured datasets at a massive scale."
Pablo Lalloni

Flynn - 1 views

flynn.io/docs

paas development programming devops infrastructure operations cloud-computing docker

shared by Pablo Lalloni on 22 Aug 14 - No Cached
  • Pablo Lalloni on 22 Aug 14
     
    "Flynn is two things: A "distribution" of components that out-of-the-box gives companies a reasonable starting point for an internal "platform" for running their applications and services. The banner for a collection of independent projects that together make up a toolkit or loose framework for building distributed systems. Flynn is both a whole and many parts, depending on what is most useful for you. The common goal is to democratize years of experience and best practices in building distributed systems. It is the software layer between operators and developers that makes both their lives easier. Unlike most PaaS's, Flynn can run stateful services as well as 12 factor apps. This includes built-in database appliances (just Postgres to start). Flynn is modular so users can easily modify, upgrade, and replace components. "
Pablo Lalloni

Hama - a general BSP framework on top of Hadoop - 0 views

hama.apache.org

development programming bsp hadoop cloud-computing distributed-computing bigdata big-data

shared by Pablo Lalloni on 05 Aug 13 - No Cached
  • Pablo Lalloni on 05 Aug 13
     
    "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"
Pablo Lalloni

Baratine | a distributed in-memory Java service platform - 0 views

baratine.io

distributed java development programming library service distributed-computing

shared by Pablo Lalloni on 11 Sep 14 - No Cached
  • Pablo Lalloni on 11 Sep 14
     
    "Baratine is a new distributed in-memory Java service platform for building high performance web services that combine both data and logic in the same JVM. Say again? In Baratine, the data lives within the service and the service owns its own data. This means: the data is not owned by the database the data is not modified by another process the data is not separate and distinct from the service => The data sits right in the service in the same JVM, the same thread, and the same class instance."
Pablo Lalloni

Titan: Distributed Graph Database - 0 views

thinkaurelius.github.io/titan

development programming graph database cloud-computing distributed-computing

shared by Pablo Lalloni on 08 Jul 13 - No Cached
  • Pablo Lalloni on 08 Jul 13
     
    "Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals."
Pablo Lalloni

Joone - Java Object Oriented Neural Engine - 0 views

www.jooneworld.com

development programming library cloud-computing java jvm ai neural-network

shared by Pablo Lalloni on 08 Aug 13 - Cached
  • Pablo Lalloni on 08 Aug 13
     
    "Joone is a FREE Neural Network framework to create, train and test artificial neural networks. The aim is to create a powerful environment both for enthusiastic and professional users, based on the newest Java technologies. Joone is composed by a central engine that is the fulcrum of all applications that are developed with Joone. Joone's neural networks can be built on a local machine, be trained on a distributed environment and run on whatever device. Everyone can write new modules to implement new algorithms or new architectures starting from the simple components distributed with the core engine. The main idea is to create the basis to promote a zillion of AI applications that revolve around the core framework."
Pablo Lalloni

Announcing Docker Machine, Swarm, and Compose for Orchestrating Distributed Apps | Dock... - 1 views

blog.docker.com/...orchestrating-distributed-apps

development cloud-computing infrastructure operations docker containerization

shared by Pablo Lalloni on 05 Dec 14 - No Cached
  • Pablo Lalloni on 05 Dec 14
     
    "ANNOUNCING DOCKER MACHINE, SWARM, AND COMPOSE FOR ORCHESTRATING DISTRIBUTED APPS"
Pablo Lalloni

Cloudbreak - 1 views

sequenceiq.com/cloudbreak

development cloud-computing hadoop devops docker distributed-computing

shared by Pablo Lalloni on 14 Aug 14 - No Cached
  • Docker is an open platform for developers and sysadmins to build, ship, and run distributed applications. Consisting of Docker Engine, a portable, lightweight runtime and packaging tool, and Docker Hub, a cloud service for sharing applications and automating workflows, Docker enables apps to be quickly assembled from components and eliminates the friction between development, QA, and production environments. As a result, IT can ship faster and run the same app, unchanged, on laptops, data center VMs, and any cloud. The main features of Docker are: Lightweight, portable Build once, run anywhere VM - without the overhead of a VM Each virtualised application includes not only the application and the necessary binaries and libraries, but also an entire guest operating system The Docker Engine container comprises just the application and its dependencies. It runs as an isolated process in userspace on the host operating system, sharing the kernel with other containers. Containers are isolated It can be automated and scripted
    • Pablo Lalloni
      Pablo Lalloni on 14 Aug 14
       
      Probablemente la mejor descripción corta de docker que he leído en solo un párrafo y una lista de features. Deberíamos usarla. 
  • Pablo Lalloni on 14 Aug 14
     
    "Cloudbreak is a RESTful Hadoop as a Service API. Once it is deployed in your favourite servlet container exposes a REST API allowing to span up Hadoop clusters of arbitrary sizes on your selected cloud provider. Provisioning Hadoop has never been easier. Cloudbreak is built on the foundation of cloud providers API (Amazon AWS, Microsoft Azure, Google Cloud Compute...), Apache Ambari, Docker containers, Serf and dnsmasq."
Pablo Lalloni

Rationale - Datomic - 0 views

www.datomic.com/rationale.html

development cloud-computing database distributed-computing

shared by Pablo Lalloni on 01 Aug 13 - No Cached
  • Pablo Lalloni on 01 Aug 13
     
    "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."
Pablo Lalloni

pingcap/tidb - 0 views

github.com/...tidb

development infrastructure cloud-computing databases distributed-computing

shared by Pablo Lalloni on 06 Jan 16 - No Cached
  • Pablo Lalloni on 06 Jan 16
     
    "TiDB is a distributed NewSQL database compatible with MySQL protocol"
Pablo Lalloni

Hyper Ledger Foundation - 1 views

www.hyperledger.org

blockchain architecture development transactions distributed-computing

shared by Pablo Lalloni on 22 Feb 16 - No Cached
  • Pablo Lalloni on 22 Feb 16
     
    "The Hyperledger Project is a collaborative effort created to advance blockchain technology by identifying and addressing important features for a cross-industry open standard for distributed ledgers that can transform the way business transactions are conducted globally."
Pablo Lalloni

Apache Flink: Scalable Batch and Stream Data Processing - 1 views

flink.apache.org/index.html

development programming streaming data scala java distributed-computing

shared by Pablo Lalloni on 28 Nov 15 - No Cached
  • Pablo Lalloni on 28 Nov 15
     
    "Apache Flink is an open source platform for distributed stream and batch data processing."
Pablo Lalloni

Frequently Asked Questions | CockroachDB Docs - 0 views

www.cockroachlabs.com/...requently-asked-questions.html

development programming databases database rdbms sql distributed-computing

shared by Pablo Lalloni on 13 Dec 18 - No Cached
  • Pablo Lalloni on 13 Dec 18
     
    "CockroachDB is a distributed SQL database built on a transactional and strongly-consistent key-value store. It scales horizontally; survives disk, machine, rack, and even datacenter failures with minimal latency disruption and no manual intervention; supports strongly-consistent ACID transactions; and provides a familiar SQL API for structuring, manipulating, and querying data. "
Pablo Lalloni

nathanmarz/cascalog · GitHub - 0 views

github.com/cascalog

distributed-computing hadoop library programming development cloud-computing java clojure jvm

shared by Pablo Lalloni on 04 Apr 13 - No Cached
  • Pablo Lalloni on 04 Apr 13
     
    "Cascalog is a fully-featured data processing and querying library for Clojure or Java. The main use cases for Cascalog are processing "Big Data" on top of Hadoop or doing analysis on your local computer. Cascalog is a replacement for tools like Pig, Hive, and Cascading and operates at a significantly higher level of abstraction than those tools."
Pablo Lalloni

The Growth of Hadoop - Wikibon - 0 views

wikibon.org/...rprise-Grade_Big_Data_Platform

hadoop comparative distributions cloud-computing distributed-computing

shared by Pablo Lalloni on 08 Apr 13 - No Cached
  • Pablo Lalloni on 08 Apr 13
     
    Relevamiento y comparativa de las distribuciones de Hadoop disponibles hasta Agosto 2012.
Pablo Lalloni

OpenTSDB - A Distributed, Scalable Monitoring System - 2 views

opentsdb.net/index.html

monitoring distributed-computing cloud-computing scalability metrics operations

shared by Pablo Lalloni on 28 Aug 11 - No Cached
    • Pablo Lalloni
      Pablo Lalloni on 28 Aug 11
       
      Esto podríamos usarlo para solucionar el pendiente de tener estadísticas en tiempo real de los ambientes en producción. Quizás incluso es aplicable a la solución de agentes de monitoreo.
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