2018-05-26ã«è¡Œã‚ã‚ŒãŸã€ŒJJUG CCC 2018 Springã€ã§ç™ºè¡¨ã—ãŸæ™‚ã®è³‡æ–™ã§ã™ã€‚
Apache Kafkaã¨ã‚¹ãƒˆãƒªãƒ¼ãƒ 処ç†/Reactive Streams
2018-05-26ã«è¡Œã‚ã‚ŒãŸã€ŒJJUG CCC 2018 Springã€ã§ç™ºè¡¨ã—ãŸæ™‚ã®è³‡æ–™ã§ã™ã€‚
Apache Kafkaを使ã£ãŸã‚¢ãƒ—リè¨è¨ˆã§åçœã—ã¦ã„る件をæ£ç›´ãƒ™ãƒ¼ã‚¹ã§è©±ã™
Apache Kafka: Producer, Broker and Consumer2017å¹´ã¯ç”Ÿã¾ã‚Œã¦å§‹ã‚ã¦Apache Kafkaã‚’æœ¬æ ¼çš„ã«æ¥å‹™åˆ©ç”¨ï¼ˆPoCã§ã¯ãªã本番é‹ç”¨ï¼‰ã—ãŸå¹´ã§ã—ãŸã€‚Apache Kafkaçš„ãªãƒ¡ãƒƒã‚»ãƒ¼ã‚¸ãƒ³ã‚°ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ãã®ã‚‚ã®ã®ã¯ã€ç¤¾å†…çš„ãªäº‹æƒ…ã§ã‚ˆã使ã£ã¦ã„ãŸã®ã§ãã®ä½¿ã„å‹æ‰‹ã«å¯¾ã—ã¦å›°æƒ‘ã¯ã»ã¨ã‚“ã©ç„¡ã‹ã£ãŸã§ã™ã—ã€ãƒŸãƒ‰ãƒ«ã‚¦ã‚§ã‚¢ã¨ã—ã¦éžå¸¸ã«å®‰å®šã—ã¦ã„ã‚‹ãŸã‚ã€Kafkaクラスタãã®ã‚‚ã®ã§ã®ä¸å…·åˆã‚‰ã—ã„ä¸å…·åˆãŒç™ºç”Ÿã—ãŸã“ã¨ã¯ä¸€åº¦ã‚‚ã‚ã‚Šã¾ã›ã‚“ã§ã—ãŸã€‚ ã—ã‹ã—ã€Kafkaã®ãƒˆãƒ”ックè¨è¨ˆãªã©ã«é–¢ã—ã¦ã®ãƒ™ã‚¹ãƒˆãƒ—ラクティスã¯äº‹ä¾‹ãƒ™ãƒ¼ã‚¹ã§ã‚‚ã‚ã¾ã‚Šè¦‹ã‹ã‘ãŸã“ã¨ãŒãªãã€ãƒãƒ¼ãƒ メンãƒãƒ¼ã¨æ‚©ã‚€ã“ã¨ã‚‚多ã‹ã£ãŸã§ã™ã€‚ã“ã®ã‚¹ãƒˆãƒ¼ãƒªãƒ¼ã§ã¯ã€ä¸»ã«Kafkaを利用ã—ãŸã‚¢ãƒ—リè¨è¨ˆã§è€ƒãˆãŸã“ã¨ã‚„失敗ã—ãŸã“ã¨ã‚’振り返りã¤ã¤å…±æœ‰ã—ã¾ã™ã€‚ãªãŠã€ãƒ‘ーティション数やå„種ãƒãƒƒãƒ•ã‚¡ã‚µã‚¤ã‚ºãªã©ã®ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°è¦ç´ ã¯ä»Šå›žå–
Rakuten Platform as a Service and Apache Kafka | Rakuten Tech Blog
Rakuten has been running an internal Platform-as-a-Service (PaaS) for over 4 years. Rakuten application teams use our PaaS not only for testing but also for running production scale services. Because of the power of PaaS, we’ve been enabling them great productivity. For example, they can release their application and scale them out horizontally when needed using a single command. We use Cloud Foun
1
リリースã€éšœå®³æƒ…å ±ãªã©ã®ã‚µãƒ¼ãƒ“スã®ãŠçŸ¥ã‚‰ã›
最新ã®äººæ°—エントリーã®é…ä¿¡
処ç†ã‚’実行ä¸ã§ã™
j次ã®ãƒ–ックマーク
kå‰ã®ãƒ–ックマーク
lã‚ã¨ã§èªã‚€
eコメント一覧を開ã
oページを開ã
{{#tags}}- {{label}}
{{/tags}}