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ã‚¤ãƒ³ãƒ†ã‚°ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã®ãŸã‚ã®ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢è£½å“ã®ãƒ†ã‚¯ãƒ‹ã‚«ãƒ«ã‚µãƒãƒ¼ãƒˆã‚’æ‹…å½“ã—ã¦ã„ã‚‹å±±ä¸‹ã§ã™ã€‚ ä»Šå›žã¯ ãƒ¬ãƒƒãƒ‰ãƒãƒƒãƒˆã®ã‚·ãƒ‹ã‚¢ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒˆã§ã‚ã‚‹ Eric Murphy ã•ã‚“ã«ã‚ˆã‚‹ã€Œãƒžã‚¤ã‚¯ãƒã‚µãƒ¼ãƒ“ã‚¹ã®ãŸã‚ã®åˆ†æ•£ãƒ‡ãƒ¼ã‚¿ ã€œ ã‚¤ãƒ™ãƒ³ãƒˆã‚½ãƒ¼ã‚·ãƒ³ã‚° vs ãƒã‚§ãƒ³ã‚¸ãƒ‡ãƒ¼ã‚¿ã‚ãƒ£ãƒ—ãƒãƒ£(CDC)ã€ã®ç¿»è¨³è¨˜äº‹ã§ã™ã€‚ã“ã®è¨˜äº‹ã§ã¯ã€ã‚¤ãƒ™ãƒ³ãƒˆã‚½ãƒ¼ã‚·ãƒ³ã‚°ã€CDCã€CDC + Outboxãƒ‘ã‚¿ãƒ¼ãƒ³ã€CQRSã‚’ãã‚Œãžã‚Œç°¡å˜ã«èª¬æ˜Žã—ãªãŒã‚‰ã€ãã‚Œã‚‰ã®ç‰¹æ€§ã®é•ã„ã‚’æ¯”è¼ƒã—ã¾ã™ã€‚ã¾ãŸã€ã‚¤ãƒ™ãƒ³ãƒˆã‚½ãƒ¼ã‚·ãƒ³ã‚°ã¨CQRSã®ç°¡æ˜“ãªèª¬æ˜ŽãŒãªã•ã‚Œã¦ã„ã‚‹ä»–ã€ã‚ã¾ã‚Šæ˜Žç¢ºã«èªžã‚‰ã‚Œã‚‹ã“ã¨ãŒå°‘ãªã„ã‚‚ã®ã®ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã®è¨è¨ˆã«å¤§ããªå½±éŸ¿ã‚’ãŠã‚ˆã¼ã™ãƒ‰ãƒ¡ã‚¤ãƒ³ã‚¤ãƒ™ãƒ³ãƒˆã¨ãƒã‚§ãƒ³ã‚¸ã‚¤ãƒ™ãƒ³ãƒˆã®é•ã„ã«ã‚‚è§¦ã‚Œã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ [åŽŸæ–‡] Distributed Data for Microservices â€” Event Sourcing vs. Change Data Captur
nobusue 2020/02/25
CDC

CQRS

Debezium
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Designing Event-Driven Systems
nobusue 2018/06/18
DDD

event

CQRS

Kafka
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Patterns for microservices
Microservices is an architecture paradigm. In this architectural style, small and independent components work together as a system. Despite its higher operational complexity, the paradigm has seen a rapid adoption. It is because it helps break down a complex system into manageable services. The services embrace micro-level concerns like single responsibility, separation of concerns, modularity, et
nobusue 2018/06/09
microservices

CQRS
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ç¬¬ï¼’å›ž CQRS Journey èªæ›¸ä¼š@æµæ¯”å¯¿(Red Hat K.K.) (2017/12/16 13:00ã€œ)
å†…å®¹ ç¬¬2å›ž CQRS Journey èªæ›¸ä¼š CQRSã¨ã‚¤ãƒ™ãƒ³ãƒˆã‚½ãƒ¼ã‚·ãƒ³ã‚°ãƒ‘ã‚¿ãƒ¼ãƒ³ã‚’ç”¨ã„ãŸã€é«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã¨ã‚¢ã¹ã‚¤ãƒ©ãƒ“ãƒªãƒ†ã‚£ãã—ã¦ãƒ¡ãƒ³ãƒ†ãƒŠãƒ³ã‚¹å®¹æ˜“ãªã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚’å®Ÿç¾ã™ã‚‹æ–¹æ³•ã‚’å¦ã¹ã‚‹æ›¸ç±ã§ã™ã€‚ CQRS Journey(ç„¡æ–™ã®æ´‹æ›¸)ã®å†…å®¹ã‚’è¦ç´„ã—ã€ãã‚Œã‚’å‹‰å¼·ä¼šã§å…±æœ‰ã—ã¦ã€å‚åŠ è€…ã§è°è«–ã—ã¾ã™ã€‚ æ¬¡å›žåˆ†ã®è¦ç´„ã¯å¸Œæœ›è€…ã‚’å‹Ÿã£ã¦è¡Œã„ã¾ã™ã€‚è¦ç´„ã‚’è¡Œã‚ãšã«å‚åŠ ã‚’ç¶™ç¶šã™ã‚‹ã ã‘ã§ã‚‚å¤§ä¸ˆå¤«ã§ã™ï¼ ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã¯ã“ã¡ã‚‰ã‹ã‚‰ : https://msdn.microsoft.com/ja-jp/library/jj554200.aspx ä¸»å‚¬ : ç¬¬132å›ž JavaEEå‹‰å¼·ä¼š http://www.wikihouse.com/withoutEJB/ J2EE(Java EE)ã«é–¢é€£ã—ãŸè©±é¡Œã‚’è°è«–ã™ã‚‹å‹‰å¼·ä¼š 2004å¹´8æœˆã‹ã‚‰æœˆ1å›žã®ãƒšãƒ¼ã‚¹ã§å®šæœŸçš„ã«é–‹å‚¬ã‚’ç¶šã‘ã¦ã„ã¾ã™ æº–å‚™ ç‰¹ã«æº–å‚™ã™ã‚‹ã‚‚ã®ãªã©ã¯ä¸
nobusue 2017/11/06
åœŸæ›œã ã¨å‚åŠ åŽ³ã—ã„ã®ã§è‡ªç¿’ã—ã¾ã™

CQRS

EventSourcing
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Ladder of cqrs+es
9. copyright Fringe81 Co.,Ltd. It is not possible to create an optimal solution for searching,reporting,and processing transactions utilizing a single model. -CQRS documents by Greg Young-
nobusue 2017/09/11
DDD

CQRS
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EventStoreDB - the event-native database for event-driven architectures
The new Event Store Cloud: Get started in minutes with automated provisioning on AWS, Azure and GCP Feed real-time, business-critical data in fine-grained streams with full historical context for your data analytics, microservices and AI use cases. Learn moreGet started today Who's using Event Store? With change, there can be an inherent risk; but by working with a partner who is forward-thinking,
nobusue 2017/01/11
CQRS

EventSourcing
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Beyond event-driven with Axon Framework and Axon Server
New in Axon Server 2024.1: Persistent StreamsPersistent Streams eliminate the need for a database to store tokens, reducing the load on your database, or eliminating the need for one.Read the blog Microservices are powerful but come with challenges. One of these challenges is to get the design exactly right. We strongly believe in an evolutionary approach to microservices: start with a monolith an
nobusue 2017/01/11
CQRS

Axon
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codecentric AG: CQRS and Event Sourcing Applications with Cassandra
nobusue 2017/01/11
CQRS

cassandra
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CQRSã¨ã‚¤ãƒ™ãƒ³ãƒˆã‚½ãƒ¼ã‚·ãƒ³ã‚°ã®ä½¿ç”¨æ³•ã€ã¾ãŸã¯ã€ŒCRUDã«ä½•ã‹å•é¡Œã§ã‚‚ï¼Ÿã€ | POSTD
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nobusue 2016/12/09
CQRS
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CQRS+Event Sourcingã‚’å¦ã¶ãŸã‚ã®æ•™æ - ã‹ã¨ã˜ã‚…ã‚“ã®æŠ€è¡“æ—¥èªŒ
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nobusue 2016/11/18
DDD

CQRS
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ã€Žãƒ‡ãƒ¼ã‚¿è§£æžã®ã‚·ã‚¹ãƒ†ãƒ ã‹ã‚‰CQRSã«ã¤ã„ã¦å¦ã¼ã†ã€
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nobusue 2016/11/18
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CQRS
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DDDã§è¨è¨ˆã™ã‚‹ãªã‚‰CQRSã®åˆ©ç”¨ã‚’æ¤œè¨Žã™ã¹ã - Qiita
ã‚¿ã‚¤ãƒˆãƒ«ã«æ›¸ã‹ã‚Œã¦ã„ã‚‹ã“ã¨ã§å…¨ã¦ãªã®ã§ã™ãŒã€DDDã¨CQRSã®ä½µç”¨ã«ã¤ã„ã¦å¼·èª¿ã—ã¦ã„ã‚‹æ—¥æœ¬èªžã®æƒ…å ±ãŒå°‘ãªã„ã®ã§ã€è»½ãã¾ã¨ã‚ã¦ãŠãã¾ã™ã€‚ CQRS+DDD CQRS(ã‚³ãƒžãƒ³ãƒ‰ã‚¯ã‚¨ãƒªè²¬å‹™åˆ†é›¢)ã¨ã¯ã€ã‚µãƒ¼ãƒã®æ©Ÿèƒ½ã‚’ã€Œã‚³ãƒžãƒ³ãƒ‰ã€ï¼ˆå‰¯ä½œç”¨ã‚ã‚Šï¼‰ã¨ã€Œã‚¯ã‚¨ãƒªã€ï¼ˆå‰¯ä½œç”¨ãªã—ï¼‰ã§å®Œå…¨ã«åˆ†ã‘ã¡ã‚ƒãŠã†ã€ã¨ã„ã†è€ƒãˆæ–¹ã§ã™ã€‚ãã‚‚ãã‚‚ã€Œã‚³ãƒžãƒ³ãƒ‰ã€ã¨ã€Œã‚¯ã‚¨ãƒªã€ã§ã¯ã‚ã‚‰ã‚†ã‚‹è¦ä»¶ãŒç•°ãªã‚Šã¾ã™ã€‚ ä¸€è²«æ€§ï¼š ã€Œã‚³ãƒžãƒ³ãƒ‰ã€ã¯æ•´åˆæ€§ã®ã‚ã‚‹å‡¦ç†ãŒå¿…è¦ã€ã€Œã‚¯ã‚¨ãƒªã€ã¯ã‚ã¾ã‚Šæ°—ã«ã™ã‚‹å¿…è¦ãªã— ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ï¼š ã€Œã‚³ãƒžãƒ³ãƒ‰ã€å´ã¯æ£è¦åŒ–ã—ã¦ãƒ‡ãƒ¼ã‚¿ã‚’ä¿å˜ã—ãŸã„ã€ã€Œã‚¯ã‚¨ãƒªã€å´ã¯éžæ£è¦ãªæ–¹ãŒåŠ¹çŽ‡çš„ ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ï¼š ã€Œã‚³ãƒžãƒ³ãƒ‰ã€ã¯å…¨ä½“ã®è² è·ã®ä¸ã§å ã‚ã‚‹å‰²åˆãŒå°‘ãªã„ã€ã€Œã‚¯ã‚¨ãƒªã€ã¯è² è·ãŒå¤§ãã„ ãªã®ã§åˆ†ã‘ã¡ã‚ƒã†ã‚ã‘ã§ã™ãŒã€ ã‚³ãƒžãƒ³ãƒ‰å´ è¤‡é›‘ãªãƒ“ã‚¸ãƒã‚¹ãƒã‚¸ãƒƒã‚¯ãŒçµ¡ã‚€ã®ã§ã€ãƒ‰ãƒ¡ã‚¤ãƒ³é§†å‹•ãŒæ´»èº ã‚¯ã‚¨ãƒªå´ è¤‡é›‘ãªãƒ“ã‚¸ãƒã‚¹ãƒã‚¸ãƒƒã‚¯ãŒãªã„ã®ã§ã€ãƒ‰ãƒ¡ã‚¤ãƒ³å±¤ã¯ã‚¹ã‚ãƒƒãƒ—
nobusue 2016/11/18
CQRS
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nobusue 2014/04/15
Eventually Consistentã§ã™ã

architecture

CQRS
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