[B! distributed] Oooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

Ooo id:Ooo

distributedã«é–¢ã™ã‚‹Oooã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (21)

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åˆ†æ•£ãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ã‚·ã‚¹ãƒ†ãƒ ã®Zipkinã‚’ä½¿ã£ã¦ã¿ãŸè©± - Qiita
Java Advent Calendarã®22æ—¥ç›®æ‹…å½“ã®miya10keiã§ã™ã€‚ ä»Šå›žã¯åˆ†æ•£ãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ã‚·ã‚¹ãƒ†ãƒ ã§ã‚ã‚‹Zipkinã‚’å‹‰å¼·ã—ãªãŒã‚‰ä½¿ã£ã¦ã¿ãŸè©±ã«ãªã‚Šã¾ã™ã€‚ ã¯ã˜ã‚ã« ã¾ãšã¯ã˜ã‚ã«ã€åˆ†æ•£ãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ã«ã¤ã„ã¦å®Œå…¨ã«ç´ äººã ã£ãŸã®ã§ã“ã®è¾ºã®ã‚¹ãƒ©ã‚¤ãƒ‰ã‚„ãƒ–ãƒã‚°ã‚’è¦‹ã¦ã¿ã¾ã—ãŸã€‚ https://www.slideshare.net/rakutentech/spring-cloudzipkin http://www.baeldung.com/tracing-services-with-zipkin åˆ†æ•£ãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ã¨ã¯ ãã‚‚ãã‚‚ã€åˆ†æ•£ãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ã¨ã¯ãªã«ã‹ã¨ã„ã†è©±ã§ã™ãŒã€åˆ†æ•£ã•ã‚ŒãŸã‚·ã‚¹ãƒ†ãƒ ã§å‡¦ç†ã•ã‚Œã‚‹ãƒªã‚¯ã‚¨ã‚¹ãƒˆã‚’è¿½è·¡ï¼ˆãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ï¼‰ã™ã‚‹ãŸã‚ã®ã‚‚ã®ã«ãªã‚Šã¾ã™ã€‚ãƒžã‚¤ã‚¯ãƒã‚µãƒ¼ãƒ“ã‚¹ã®ã‚ˆã†ãªè¤‡æ•°ã®ã‚µãƒ¼ãƒ“ã‚¹ã§æ§‹æˆã•ã‚Œã‚‹ã‚·ã‚¹ãƒ†ãƒ ï¼ˆåˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ï¼‰ã§ã¯ã€ï¼‘ã¤ã®ãƒªã‚¯ã‚¨ã‚¹ãƒˆãŒè¤‡æ•°ã®ã‚µãƒ¼ãƒ“ã‚¹ã‚’ã¾ãŸã„ã§å‡¦ç†ã•ã‚Œã‚‹ã“ã¨
Ooo 2020/12/14
trace

distributed
ãƒªãƒ³ã‚¯
OpenZipkin Â· A distributed tracing system
Zipkin Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency probl ems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be sum
Ooo 2018/11/06
distributed

trace

zipkin

tracing
ãƒªãƒ³ã‚¯
GitHub - Netflix/Hystrix: Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure
Hystrix is no longer in active development, and is currently in maintenance mode. Hystrix (at version 1.5.18) is stable enough to meet the needs of Netflix for our existing applications. Meanwhile, our focus has shifted towards more adaptive implementations that react to an applicationâ€™s real time performance rather than pre-configured settings (for example, through adaptive concurrency limits). F
Ooo 2018/11/06
java

hystrix

distributed
ãƒªãƒ³ã‚¯
JanusGraph
Distributed, open source, massively scala ble graph database JanusGraph is a scala ble graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon.
Ooo 2018/04/16
graph

database

graphdb

distributed
ãƒªãƒ³ã‚¯
CockroachDB 2.0 has arrived!
CockroachDB debuted as the open source database that made it possible to build massive, reliable cloud applications without giving up SQL. Forward-thinking companies adopted it to hide the complexity of dealing with distributed scale, resilience, and consistency probl ems in the database layer. The promise was simple: keep your apps simple and your pagers silent. Over the last six months, weâ€™ve wel
Ooo 2018/04/05
database

distributed
ãƒªãƒ³ã‚¯
ä»Šåº¦ã“ãçµ¶å¯¾ã‚ãªãŸã«ç†è§£ã•ã›ã‚‹Paxos - Qiita
Paxosã¨ã¯ä½•ã‹ åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®é‡‘å—å¡”ã¨ã‚‚å‘¼ã°ã‚Œã€Leslie Lamportå¤§å…ˆç”Ÿã®è¼ã‹ã—ã„æˆæžœã®ä¸€ã¤ã¨ã—ã¦çŸ¥ã‚‰ã‚Œã‚‹åˆ†æ•£åˆæ„ã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ Paxosã€‚ æ—¢å˜ã®è§£èª¬ å®Ÿã¯ã™ã§ã«å˜åœ¨ã™ã‚‹Paxosã®è§£èª¬ã¯å……åˆ†ã«è³ªãŒé«˜ã„ Wikipediaã®é …ç›®ã«ã‚‚çµæ§‹é•·ã€…ã¨æ›¸ã‹ã‚Œã¦ã„ã¦ã€ã“ã‚Œã‚’èªã‚“ã§ç†è§£ã§ããŸäººã¯ã‚‚ã†åƒ•ã®è¨˜äº‹ã‚’èªã‚€å¿…è¦ã¯ãªã„ã€‚ åŒæ§˜ã«PFIã®ä¹…ä¿ç”°ã•ã‚“ã«ã‚ˆã‚‹è§£èª¬ã‚¹ãƒ©ã‚¤ãƒ‰ã‚‚ã‚ã‚Šã€ã“ã‚Œã‚‚è‰¯ãæ›¸ã‘ã¦ã„ã‚‹ã—ã€ã“ã‚Œã‚’èªã‚“ã§ç†è§£ã§ããŸäººã‚‚ã“ã‚Œä»¥ä¸Šè¨˜äº‹ã‚’èªã‚€å¿…è¦ã¯ãªã„ã€‚ minghaiæ°ã«ã‚ˆã‚‹ãƒ–ãƒã‚°è¨˜äº‹ã®ã“ã‚Œã¨ã‹ç‰¹ã«ã“ã£ã¡ãªã‚“ã‹ã¯ã‹ãªã‚Šç´å¾—æ„ŸãŒã‚ã‚Šã€ã“ã‚Œã‚‰ã‚’èªã‚“ã§ç†è§£ã§ããŸäººã‚‚ï¼ˆä¸ç•¥ï¼‰ tyonekuraæ°ã«ã‚ˆã‚‹ã‚¹ãƒ©ã‚¤ãƒ‰ã‚‚è‰¯ãã‹ã‘ã¦ã„ã¦(ä¸ç•¥) ã“ã®è¨˜äº‹ã¯ã“ã‚Œã‚‰ã®èª¬æ˜Žã«ç›®ã‚’é€šã—ã¦ã‚‚ãªãŠç†è§£ã§ããªã‹ã£ãŸäººã€ã‚‚ã—ãã¯ã“ã‚Œã‚‰ã®èª¬æ˜Žã‚’ã“ã‚Œã‹ã‚‰èªã‚‚ã†ã¨æ€ã£ã¦ã„ã‚‹äººã«å‘ã‘ã¦æ›¸ãã€Paxosã‚¢ãƒ«ã‚´ãƒªã‚ºãƒ ã®è©³ç´°ãªèª¬æ˜Žè‡ªä½“
Ooo 2017/12/01
Paxos

distributed

algorithm
ãƒªãƒ³ã‚¯
ãƒ‡ãƒ¼ã‚¿ãƒ¼ãƒ™ãƒ¼ã‚¹ã‚’CPã ã®APã ã®ã¨åˆ†é¡žã™ã‚‹ã®ã¯ã‚„ã‚ã¦ä¸‹ã•ã„ - suzuki79ã®ãƒ–ãƒã‚°
Please stop calling databases CP or AP (2015-4-11) by Martin Kleppmann å…ƒã®è¨˜äº‹ã¯ä¸Šã®ãƒªãƒ³ã‚¯ã‚ˆã‚Šã”è¦§ã«ãªã‚Œã¾ã™ã€‚ã“ã¡ã‚‰ã®è¨˜äº‹ã¯Â æœ¬äººã®è¨±å¯ã‚’å¾—ã¦ã€ç¿»è¨³ãƒ»æŽ²è¼‰ã—ãŸã‚‚ã®ã§ã™ã€‚ç¿»è¨³ã¸ã®ãƒ•ã‚£ãƒ¼ãƒ‰ãƒãƒƒã‚¯ã¯ã‚³ãƒ¡ãƒ³ãƒˆã‚ˆã‚ŠãŠé¡˜ã„ã„ãŸã—ã¾ã™ã€‚ Jeff Hodgesã®Notes on Distributed Systems for Young Bloodsã¨ã„ã†å„ªã‚ŒãŸãƒ–ãƒã‚°ã§ã€CAPå®šç†ã‚’ä½¿ã£ã¦ã‚·ã‚¹ãƒ†ãƒ ã‚’è©•ä¾¡ã™ã‚‹ã“ã¨ãŒæŽ¨å¥¨ã•ã‚Œã¦ã„ã¾ã™ã€‚å¤šãã®äººã¯ã“ã®ã‚¢ãƒ‰ãƒã‚¤ã‚¹ã‚’çœŸæ‘¯ã«èžãã€è‡ªåˆ†ãŸã¡ã®ã‚·ã‚¹ãƒ†ãƒ ã‚’CPï¼ˆãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯ã®åˆ†å‰²ã®ã‚‚ã¨ã§ã¯ä¸€è²«æ€§ã¯ã‚ã‚‹ãŒå¯ç”¨æ€§ãŒãªã„ï¼‰ã€APï¼ˆãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯åˆ†å‰²ã®ã‚‚ã¨ã§ã¯å¯ç”¨æ€§ãŒã‚ã‚‹ãŒä¸€è²«æ€§ãŒãªã„ï¼‰ã€ã‚ã‚‹ã„ã¯ã¾ã‚Œã«CAï¼ˆã“ã‚Œã®æ„å‘³ã™ã‚‹ã¨ã“ã‚ã¯ã€Œè‡ªåˆ†ã¯ã¾ã ï¼•å¹´å‰ã®Codaã®æŠ•ç¨¿ã‚’èªã‚“ã§ã„ã¾ã›ã‚“ã€ã§ã™ï¼‰ã¨è¡¨ç¾ã™ã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã—
Ooo 2017/11/28
distributed

database

cap

zookeeper
ãƒªãƒ³ã‚¯
Understanding Paxos
Introduction Paxos is one of the oldest, simplest, and most versatile algorithms in the field of distributed consensus. It has long been considered the gold-standard in this domain and dozens of papers and articles have been written to describe its various applications, optimizations, and usage techniques. However, despite the volume of literature that has been generated on this subject in the las
Ooo 2017/09/03
distributed

algorithm

paxos
ãƒªãƒ³ã‚¯
åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã«ã¤ã„ã¦èªžã‚‰ã›ã¦ãã‚Œ
NTT Tech Conference #2 ã«ã¦è©±ã—ãŸè³‡æ–™ æ™‚é–“ãŒè¶³ã‚Šãªã‹ã£ãŸã®ã§å…¨éƒ¨ã¯è©±ã›ãªã‹ã£ãŸã€‚Read less
Ooo 2017/08/12
distributed

architecture

algorithm
ãƒªãƒ³ã‚¯
ã‚¹ãƒˆãƒªãƒ¼ãƒ å‡¦ç†ã‚’æ”¯ãˆã‚‹ã‚ãƒ¥ãƒ¼ã‚¤ãƒ³ã‚°ã‚·ã‚¹ãƒ†ãƒ ã®é¸ã³æ–¹
This document discusses messaging queues and platforms. It begins with an introduction to messaging queues and their core components. It then provides a table comparing 8 popular open source messaging platforms: Apache Kafka, ActiveMQ, RabbitMQ, NATS, NSQ, Redis, ZeroMQ, and Nanomsg. The document discusses using Apache Kafka for streaming and integration with Google Pub/Sub, Dataflow, and BigQuery
Ooo 2016/10/28
apache kafka

distributed
ãƒªãƒ³ã‚¯
Apache SystemML
SystemML is now SystemDS To reflect the change of focus to the end-to-end data science lifecycle What is SystemDS? SystemDS is an open source ML system for the end-to-end data science lifecycle from data integration, cleaning, and feature engineering, over efficient, local and distributed ML model training, to deployment and serving. To this end, it provides a stack of declarative languages with R
Ooo 2016/02/09
apache

ml

distributed
ãƒªãƒ³ã‚¯
åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ å‡¦ç†ãƒ¢ãƒ‡ãƒ«ã«é–¢ã™ã‚‹å‹•å‘ã«ã¤ã„ã¦ï¼ˆMapReduceã‹ã‚‰Borgã¾ã§ï¼‰
è©³ç´°ã«ã¤ã„ã¦ã¯å¾Œè¿°ã—ã¾ã™ãŒã€MapReduceã®å‡¦ç†ãƒ¢ãƒ‡ãƒ«ã¯ã€ä¸Šè¨˜ã®é€šã‚Šå„åŒºåˆ†ã”ã¨ã«ãã‚Œãžã‚Œå˜ç´”åŒ–ï¼ˆé™å®šï¼‰ã•ã‚ŒãŸãƒ¢ãƒ‡ãƒ«ã§ã‚ã£ãŸã¨è¨€ãˆã¾ã™ã€‚ ã¾ãŸã€MapReduceã®é–¢æ•°ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ãŠã‚ˆã³ã‚°ãƒ©ãƒ•çš„ãªç‰¹å¾´ã‚‚åˆã‚ã›ã¦ä»¥ä¸‹ã«æ•´ç†ã—ã¦ã¿ã¾ã™ã€‚ é–¢æ•°ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°çš„ãªç‰¹å¾´ MapãŠã‚ˆã³Reduceãƒ•ã‚§ãƒ¼ã‚ºã¯ã€ãã‚Œãžã‚Œé–¢æ•°åž‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã®MapãŠã‚ˆã³Reduceå‡¦ç†ã‚’ãƒ¢ãƒ‡ãƒ«åŒ–ã—ãŸã‚‚ã®ã§ã™ã€‚MapReduceã¯ã€å‚ç…§é€éŽæ€§ãŒã‚ã‚‹ç´”ç²‹ãªé–¢æ•°å‡¦ç†ã¨è¨€ãˆã¾ã™ã€‚å‚ç…§é€éŽæ€§ã¨ã¯å…¥åŠ›ã«ã‚ˆã‚Šå‡ºåŠ›ãŒä¸€æ„ã«æ±ºã¾ã‚‹æ€§è³ªã®ã“ã¨ã§ã™ã€‚è¨€ã„æ›ãˆã‚Œã°MapReduceã®å‡¦ç†ã¯ã€å¤§åŸŸãªã©ã®å‡¦ç†ã«å½±éŸ¿ã™ã‚‹å¤–éƒ¨ã®ç’°å¢ƒã¯æŒãŸãšã€å†…éƒ¨çš„ã«ã‚‚é™çš„ãªä¸€æ™‚å¤‰æ•°ãªã©ã®çŠ¶æ…‹ã‚‚æŒãŸãªã„ã“ã¨ã‚’æ„å‘³ã—ã¾ã™ã€‚ ç´”ç²‹ãªé–¢æ•°å‡¦ç†ã¯è¤‡æ•°ã®å‡¦ç†ãŒåŒæ™‚ã«å®Ÿè¡Œã•ã‚Œã¦ã‚‚ä»–ã®ä¸¦åˆ—ã«å‹•ä½œã—ã¦ã„ã‚‹å‡¦ç†ã®çŠ¶æ…‹ã«ã¯å·¦å³ã•ã‚Œãªã„ãŸã‚ã€ã“ã®å‚ç…§é€éŽæ€§ã¯ä¸¦åˆ—åŒ–ã«å‘ã„ã¦ã„ã‚‹æ€§è³ªãŒã‚ã‚Šã¾
Ooo 2015/06/10
Distributed

architecture
ãƒªãƒ³ã‚¯
Introducing Dockercast â€“ the Docker Podcast | Docker Blog
Products Docker DesktopContainerize your applicationsDocker HubDiscover and share container imagesDocker ScoutSimplify the software supply chainDocker Build Cloud Speed up your image buildsTestcontainers Desktop Local testing with real dependenciesTestcontainers Cloud Test without limits in the cloud See our product roadmapMORE resources for developers
Ooo 2014/12/05
docker

distributed

application
ãƒªãƒ³ã‚¯
NSQ Docs 1.3.0 - A realtime distributed messaging platform
Distributed NSQ promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees. Scala ble NSQ scales horizontally, without any centralized brokers. Built-in discovery simplifies the addition of nodes to the cluster. Supports both pub-sub and load-balanced
Ooo 2014/11/30
golang

go

nsq

distributed
ãƒªãƒ³ã‚¯
Resilient Distributed Datasetsã«é–¢ã™ã‚‹è«–æ–‡ã¾ã¨ã‚ï¼ˆï¼‘ç« ã€œï¼•ç« - å¤¢ã¨ã‚¬ãƒ©ã‚¯ã‚¿ã®é›†ç©å ´
ã“ã‚“ã«ã¡ã¯ã€‚ Resilient Distributed Datasetsã«é–¢ã™ã‚‹è«–æ–‡ ã€ŒResilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computingã€ ï¼ˆhttp://www.cs.berkeley.edu/~matei/papers/2012/nsdi_spark.pdfï¼‰ ã«ã¤ã„ã¦ã€æ¦‚å¿µã¨å‹•ä½œæ¦‚è¦ãŒæ›¸ã‹ã‚ŒãŸï¼‘ç« ã€œï¼•ç« ã‚’èªã‚“ã ã®ã§ã€ï¼‘æŠ•ç¨¿ã«ã¾ã¨ã‚ã¾ã™ã€‚ åŸºæœ¬çš„ã«ã¯ä»¥å‰è¦‹ãŸã‚¹ãƒ©ã‚¤ãƒ‰ã®è©³ç´°åŒ–ç‰ˆãªã‚“ã§ã™ãŒã€ä¸€éƒ¨ã‚¹ãƒ©ã‚¤ãƒ‰è¦‹ã¦ã„ã‚‹ã ã‘ã ã¨ã‚ã‹ã‚‰ãªã„æƒ…å ±ã‚‚ã‚ã‚Šã€å‚è€ƒã«ãªã‚Šã¾ã—ãŸã€‚ SparkãŒå¯¾è±¡ã¨ã™ã‚‹ã‚ˆã†ãªã€ŒåŸºæœ¬çš„ã«ã¯å…¨ãƒ‡ãƒ¼ã‚¿ã«å¯¾ã—ã¦åŒã˜æ¼”ç®—ã‚’è¡Œã†ã€ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã«ãŠã„ã¦ã¯ èªã¿å–ã‚Šå°‚ç”¨ã¨ã„ã†RDDã®æ€§è³ªãŒãƒžã‚¤ãƒŠã‚¹ã«ãªã‚‰ãªã„ã“ã¨ã€èªã¿å–ã‚Šå°‚ç”¨ã§ã‚ã‚‹ã“ã¨ã§ ä¸€è²«æ€§è€ƒæ…®ãŒç°¡ç•¥
Ooo 2014/03/25
rdd

spark

apache spark

distributed
ãƒªãƒ³ã‚¯
GitHub - twitter/finagle: A fault tolerant, protocol-agnostic RPC system
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Ooo 2013/11/18
java

finagle

scala

twitter

Framework

concurrent

distributed
ãƒªãƒ³ã‚¯
DMM inside
ãªã›ã‚™DMMã‹ã‚™web3ã«å‚å…¥ã—ãŸã®ã‹ã€‚Seamoon Protocolã‹ã‚™ç›®æŒ‡ã™æ–°ãŸãªã‚¨ãƒ³ã‚¿ãƒ¡ä½“é¨“ã®æœªæ¥ã¨ã¯
Ooo 2013/10/22
GlusterFS

benchmark

management

filesystem

server

fhgfs

distributed
ãƒªãƒ³ã‚¯
ZooKeeper - the unsung hero
- 1 user
- koch.ro
- å¦ã³
Ooo 2012/06/23
apache zookeeper

zookeeper

java

apache

distributed
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ç®¡ç†ãŒå›°é›£â€•åˆ†æ•£å‡¦ç†ã®å¸¸è˜ã¯ZooKeeperã§å¤‰ã‚ã‚‹
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Ooo 2012/06/23
apache

zookeeper

apache zookeeper

java

distributed

architecture
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Introduction to Ceph (Japanese) 0908 2011
20. [ ] tatsuya@ceph2c:~$ fio fio-scenarios/seqwrite-ceph-001w-test.fio seq-write: (g=0): rw=write, bs=4K-4K/4K-4K, ioengine=sync, iodepth=1 Starting 1 process seq-write: Laying out IO file(s) (1 file(s) / 1024MB) Jobs: 1 (f=1): [W] [100.0% done] [0K/37768K /s] [0/9220 iops] [eta 00m:00s] seq-write: (groupid=0, jobs=1): err= 0: pid=5370 write: io=1024MB, bw=37681KB/s, iops=9420, runt= 27828msec cl
Ooo 2011/09/08
ceph

filesystem

distributed

posix

rados
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