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Raft Consensus Algorithm
What is Raft? Raft is a consensus algorithm that is designed to be easy to understand. It's equivalent to Paxos in fault-tolerance and performance. The difference is that it's decomposed into relatively independent subprobl ems, and it cleanly addresses all major pieces needed for practical systems. We hope Raft will make consensus available to a wider audience, and that this wider audience will be
a2ikm 2020/06/25
algorithm

raft

distributed
ãƒªãƒ³ã‚¯
è‡ªå¾‹åˆ†æ•£å”èª¿ã‚·ã‚¹ãƒ†ãƒ çš„å¦„æƒ³ã¨ç¾¤çŸ¥èƒ½ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚° - ã‚¯ãƒžã‚¬ãƒªã‚¦ãƒ ã¶ã‚ã
â€»æœ¬æ–‡èªã¾ãªãã¦ã‚‚ã„ã„ã®ã§ã€ãœã²å›³ã ã‘ã§ã‚‚è¦‹ã¦ã„ã£ã¦ãã ã•ã„ç¬‘ â€»ã“ã®ã‚ãŸã‚ŠãŠè©³ã—ã„äººãŒã„ãŸã‚‰ã‚³ãƒ¡ãƒ³ãƒˆã€è£œè¶³ãªã©å¤§æ“è¿Ž ç›®æ¬¡ ç›®æ¬¡ 0. ã¯ã˜ã‚ã« 1. æ›´æ–°ç‰ˆãƒ“ã‚¸ãƒ§ãƒ³ 2. ä»£è¡¨çš„ãªã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚° 2.1éžéšŽå±¤åž‹ï¼ˆK-meansæ³•ï¼‰[1,2] 2.2 éšŽå±¤åž‹ï¼ˆæ¨¹å½¢å›³ï¼šãƒ‡ãƒ³ãƒ‰ãƒã‚°ãƒ©ãƒ ï¼‰[2,3,4] 2.4 ãã®ä»– 3. ç¾¤çŸ¥èƒ½ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°[5] 3.1 Ant Colony Clustering Model (ACCM) 3.1.1 æ¦‚è¦ 3.1.2 ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°æŒ™å‹•ã®å¯è¦–åŒ– 3.2 Boidsï¼ˆBird-oid:ä»®æƒ³çš„ãªé³¥ï¼‰ã€ã‚ã‚‹ã„ã¯Flock Algorithm 3.2.1 æ¦‚è¦ 3.2.2 ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚°æŒ™å‹•ã®å¯è¦–åŒ– 3.2.3 å…¥ã‚Œåæ§‹é€ ã®ã‚¯ãƒ©ã‚¹ã‚¿ãƒªãƒ³ã‚° 3.2.4 è£œè¶³ 4. ãŠã‚ã‚Šã« 5. å‚è€ƒ 0. ã¯ã˜ã‚ã« ç§ã®ã‚„ã‚ŠãŸã„æ§‹æƒ³ã‚’ã¾ã¨ã‚ãŸãƒ–ãƒã‚°ï¼ˆè¶…å€‹ä½“åž‹ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã«ãŠ
a2ikm 2020/05/24
distributed
ãƒªãƒ³ã‚¯
Implementing Raft: Part 0 - Introduction - Eli Bendersky's website
This is the first post in a multi-part series describing the Raft distributed consensus algorithm and its complete implementation in Go. Here is a complete list: Part 0: Introduction (this post) Part 1: Elections Part 2: Commands and log replication Part 3: Persistence and optimizations Part 4: Key/Value database Part 5: Exactly-once delivery Raft is a relatively new algorithm (2014), but it's alr
a2ikm 2020/03/05
golang

raft

distributed

algorithm

transaction
ãƒªãƒ³ã‚¯
åˆ†æ•£ãƒˆãƒ¬ãƒ¼ã‚·ãƒ³ã‚°ã®æŠ€è¡“é¸å®šãƒ»OSS è²¢çŒ®, Stackdriver Trace ã§ã®æ€§èƒ½å¯è¦–åŒ–ãƒ»æ”¹å–„ / Distributed Tracing case study
ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã«è‹¦åŠ´ã—ã¦ã„ã‚‹ä¸¦åˆ—å‡¦ç†ã‚·ã‚¹ãƒ†ãƒ ã‚’æ”¹å–„ã™ã‚‹ãŸã‚ã« Stackdriver Traceã‚’å°Žå…¥ã—ã¦å‹•ä½œã®å¯è¦–åŒ–ã‚’è¡Œã£ãŸçµæžœã€ ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã®å˜åœ¨ãŒåˆ¤æ˜Žã—ã¦ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’æ”¹å–„ã§ããŸäº‹ä¾‹ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ ã“ã®äº‹ä¾‹ã§Stackdriver Traceã‚’é¸å®šã—ãŸéŽç¨‹ã‚„ OpenTelemetâ€¦
a2ikm 2019/11/26
distributed

tracing
ãƒªãƒ³ã‚¯
åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ å†…ã®é–¢ä¿‚æ€§ã«ç€ç›®ã—ãŸObservabilityãƒ„ãƒ¼ãƒ« - Speaker Deck
ã‚†ã†ã†ããŒé–‹ç™ºã—ã¦ã„ã‚‹lstfã‚„transtracerãªã©ã®ãƒ„ãƒ¼ãƒ«ã‚’æœ€è¿‘ã®Observabilityã®æµã‚Œã‹ã‚‰ç´¹ä»‹ã—ãŸè©±ã§ã™ã€‚ Kyoto.ãªã‚“ã‹ #5, https://kyoto-nanka.connpass.com/event/141982/, 2019å¹´8æœˆ24æ—¥.
a2ikm 2019/08/26
distributed

tracing

slide
ãƒªãƒ³ã‚¯
Online Event Processing - ACM Queue
March 24, 2019 Volume 17, issue 1 PDF Online Event Processing Achieving consistency where distributed transactions have failed Martin Kleppmann, Alastair R. Beresford, and Boerge Svingen For almost half a century, ACID transactions (satisfying the properties of atomicity, consistency, isolation, and durability) have been the abstraction of choice for ensuring consistency in data-storage systems. T
a2ikm 2019/06/08
distributed

payment
ãƒªãƒ³ã‚¯
Eventually Consistent - Revisited
Eventually Consistent - RevisitedDecember 23, 2008 â€¢ 3261 words I wrote a first version of this posting on consistency models about a year ago, but I was never happy with it as it was written in haste and the topic is important enough to receive a more thorough treatment. ACM Queue asked me to revise it for use in their magazine and I took the opportunity to improve the article. This is that new v
a2ikm 2019/06/08
distributed

db

transaction
ãƒªãƒ³ã‚¯
ã€ŒDockeræ™‚ä»£ã®åˆ†æ•£RSpecç’°å¢ƒã®ä½œã‚Šæ–¹ã€ã®è£œè¶³ - Qiita
ã“ã®è¨˜äº‹ã¯ã€å¤§æ±Ÿæˆ¸Rubyä¼šè°06ã§ç™ºè¡¨ã—ãŸ Dockeræ™‚ä»£ã®åˆ†æ•£RSpecç’°å¢ƒã®ä½œã‚Šæ–¹ // Speaker Deck ã®è£œè¶³ã§ã™ã€‚ ä½•äººã‹ã«è³ªå•ã•ã‚ŒãŸã“ã¨ã‚„ã€è‰¯ã„ã“ã¨ã°ã‹ã‚Šã˜ã‚ƒãªãã¦ç¾çŠ¶å˜åœ¨ã—ã¦ã„ã‚‹èª²é¡Œã«ã¤ã„ã¦è£œè¶³ã¨ã—ã¦ã€ã“ã“ã§æ›¸ã‹ã›ã¦ã‚‚ã‚‰ã„ã¾ã™ã€‚ ã¾ãšã€è‰¯ãè³ªå•ã•ã‚ŒãŸã®ãŒãƒ†ã‚¹ãƒˆã‚±ãƒ¼ã‚¹ã®åˆ†å‰²æ–¹æ³•ã§ã™ã€‚ ãƒ†ã‚¹ãƒˆã‚±ãƒ¼ã‚¹ã®åˆ†å‰²ã¯ã€ç¾çŠ¶ã¨ã¦ã‚‚é›‘ã«ã‚„ã£ã¦ã¾ã™ã€‚ ã¾ãšã€featureã‚¹ãƒšãƒƒã‚¯ã®ãƒ•ã‚¡ã‚¤ãƒ«ã ã‘ã‚’ãƒªã‚¹ãƒˆã‚¢ãƒƒãƒ—ã—ã¦é©å½“ã«ã‚·ãƒ£ãƒƒãƒ•ãƒ«ã—ã¦è©°ã‚ã¾ã™ã€‚ ãã®å¾Œã§ã€ä»–ã®ãƒ†ã‚¹ãƒˆã‚±ãƒ¼ã‚¹ã‚’é †ç•ªã«è©°ã‚ã‚‹ã€ã¨ã„ã†æ„Ÿã˜ã§ã™ã€‚ å¤šå°‘ã€ç„¡é§„ã§ã¯ã‚ã‚‹ã‚“ã§ã™ãŒã€å‰ã®ãƒ†ã‚¹ãƒˆçµæžœã®ãƒ—ãƒãƒ•ã‚¡ã‚¤ãƒ«ã®åŽé›†ã¨è©°ã‚ã‚‹ãƒã‚¸ãƒƒã‚¯ã‚’æ›¸ãã®ã‚’ã‚µãƒœã£ã¦ã‚‚ã€ç¾çŠ¶å¤§åˆ†æ—©ãã§ããŸã®ã§ã€ã¨ã‚Šã‚ãˆãšä½œã‚Šã‚’ç°¡å˜ã«ã™ã‚‹æ–¹ã‚’å„ªå…ˆã—ã¾ã—ãŸã€‚ èª²é¡Œã®ä¸ã§æœ€ã‚‚å¤§ããªå•é¡Œã¯ã€ãƒã‚°ãŒè¦‹è¾›ã„ã¨ã„ã†ç‚¹ã§ã™ã€‚ ECSã¯ãƒã‚°ã‚’æº–ãƒªã‚¢ãƒ«ã‚¿ã‚¤ãƒ ã§ç¢ºèªã™ã‚‹ã®ãŒã€ã‹ãªã‚Šé›£ã—ã„ã¨ã„ã†
a2ikm 2019/04/05
docker

rspec

distributed

joker1007
ãƒªãƒ³ã‚¯
Numbers Everyone ShouldÂ Know - High Scalability -
Google AppEngine Numbers This group of numbers is from Brett Slatkin in Building Scala ble Web Apps with Google App Engine. Writes are expensive! Datastore is transactional: writes require disk access Disk access means disk seeks Rule of thumb: 10ms for a disk seek Simple math: 1s / 10ms = 100 seeks/sec maximum Depends on: * The size and shape of your data * Doing work in batches (batch puts and ge
a2ikm 2019/03/20
é¢ç™½ã‹ã£ãŸã€‚

performance

architecture

distributed
ãƒªãƒ³ã‚¯
Exponential Backoff And Jitter | Amazon Web Services
AWS Architecture Blog Exponential Backoff And Jitter Update (May 2023): After 8 years, this solution continues to serve as a pillar for how Amazon builds remote client libraries for resilient systems. Most AWS SDKs now support exponential backoff and jitter as part of their retry behavior when using standard or adaptive modes. Consequently, this pattern can be leveraged without having to incorpora
a2ikm 2018/12/24
aws

algorithm

distributed

architecture
ãƒªãƒ³ã‚¯
åˆ†æ•£ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢Cephã¨ã¯ - Cybozu Inside Out | ã‚µã‚¤ãƒœã‚¦ã‚ºã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ãƒ–ãƒã‚°
ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯ã€Necoãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã®satã§ã™ã€‚Necoãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã¯ã‚µã‚¤ãƒœã‚¦ã‚ºã®ã‚¯ãƒ©ã‚¦ãƒ‰åŸºç›¤ã§ã‚ã‚‹cybozu.comã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã«é–¢ã™ã‚‹æ§˜ã€…ãªè¦ä»¶ã‚’æº€ãŸã™ãŸã‚ã«åˆ†æ•£ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢Cephã‚’å°Žå…¥ã™ã‚‹äºˆå®šã§ã™ã€‚æœ¬è¨˜äº‹ã§ã¯Cephã¨ã¯ä½•è€…ã‹ã«ã¤ã„ã¦ç´¹ä»‹ã„ãŸã—ã¾ã™ã€‚CephãŒæŒã£ã¦ã„ã‚‹æ©Ÿèƒ½ã¯è†¨å¤§ãªæ•°ã«ã®ã¼ã‚‹ãŸã‚ã€ã“ã“ã§ã¯ä¸€éƒ¨ã®æ©Ÿèƒ½ã«çµžã£ã¦ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ æ¦‚è¦ Cephã¯ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹ã®åˆ†æ•£ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã§ã™ã€‚2004å¹´ä»¥å‰ã‹ã‚‰ã‚«ãƒªãƒ•ã‚©ãƒ«ãƒ‹ã‚¢å¤§å¦ã§é–‹ç™ºã•ã‚Œã€2006å¹´ã«ã‚ªãƒ¼ãƒ—ãƒ³ã‚½ãƒ¼ã‚¹åŒ–ã•ã‚Œã¾ã—ãŸã€‚ç¾åœ¨ã§ã¯Red Hatç¤¾ã‚’ã¯ã˜ã‚ã¨ã™ã‚‹ã•ã¾ã–ã¾ãªä¼æ¥ã€ã‚ã‚‹ã„ã¯å€‹äººã«ã‚ˆã£ã¦æ´»ç™ºã«é–‹ç™ºã•ã‚Œã¦ã„ã¾ã™ã€‚Cephã¯ä¾‹ãˆã°OpenStack ã®ã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸æ©Ÿèƒ½(Cinder, Swift, ã‚„Glanceãªã©)ã®é¸æŠžè‚¢ã®1ã¤ã¨ã—ã¦ä½¿ã‚ã‚Œã¦ã„ã¾ã™ã€‚ Cephã¯è¤‡æ•°å°ã®ãƒžã‚·ãƒ³ä¸Šã®ã‚¹
a2ikm 2018/12/13
ceph

distributed

storage
ãƒªãƒ³ã‚¯
ã‚³ãƒ³ãƒ†ãƒŠã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ã‚¿ãƒ¼ãƒ³ã‚’å¦ã¹ã‚‹è«–æ–‡ã€ŒDesign patterns for container-based distributed systemsã€ã‚’èªã‚“ã - kakakakakku blog
2016å¹´ã« USENIX Conference ã§ç™ºè¡¨ã•ã‚ŒãŸè«–æ–‡ã€ŒDesign patterns for container-based distributed systemsã€ã‚’èªã‚“ã ï¼Žã‚¿ã‚¤ãƒˆãƒ«ã®é€šã‚Šï¼Œã‚³ãƒ³ãƒ†ãƒŠã®ãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ã‚¿ãƒ¼ãƒ³ãŒã¾ã¨ã¾ã£ã¦ã„ã¦ï¼Œã“ã‚Œã‹ã‚‰ã‚³ãƒ³ãƒ†ãƒŠè¨è¨ˆã‚’ã™ã‚‹äººã‚‚ï¼Œæ—¢ã«ã‚³ãƒ³ãƒ†ãƒŠã‚’é‹ç”¨ã—ã¦ã„ã‚‹äººã‚‚ï¼Œãƒ‡ã‚¶ã‚¤ãƒ³ãƒ‘ã‚¿ãƒ¼ãƒ³ã‚’å¦ã¹ã‚‹ã®ã¯ä¾¡å€¤ãŒã‚ã‚‹ã¨æ€ã†ï¼Žä¸€éƒ¨ãƒŸã‚¹ãƒªãƒ¼ãƒ‰ã‚’ã—ã¦ã„ã‚‹ã‹ã‚‚ã—ã‚Œãªã„ï¼Ž Design patterns for container-based distributed systems è«–æ–‡ã‚‚å…¬é–‹ã•ã‚Œã¦ã„ã‚‹ï¼Ž https://static.googleusercontent.com/media/research.google.com/ja//pubs/archive/45406.pdf ãƒ‘ã‚¿ãƒ¼ãƒ³ä¸€è¦§ Single-container management pattern
a2ikm 2018/11/26
container

distributed

pattern

design
ãƒªãƒ³ã‚¯
Rustè£½ã®åˆ†æ•£ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’OSSã¨ã—ã¦å…¬é–‹ã—ã¾ã—ãŸ - dwango on GitHub
ã¯ã˜ã‚ã« ãƒ‰ãƒ¯ãƒ³ã‚´ã§ã¯niconicoã®é…ä¿¡ç³»ã‚µãƒ¼ãƒ“ã‚¹ã®ãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰ã§åˆ©ç”¨ã™ã‚‹ãŸã‚ã«ã€Frugalosã¨ã„ã†åå‰ã®åˆ†æ•£ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã‚’é–‹ç™ºã—ã¦ã„ã‚‹ã®ã§ã™ãŒã€ã“ã®åº¦OSSã¨ã—ã¦å…¬é–‹ã™ã‚‹ã“ã¨ã¨ãªã‚Šã¾ã—ãŸã®ã§ã€ã“ã®å ´ã‚’å€Ÿã‚Šã¦è»½ãç´¹ä»‹ã•ã›ã¦è²°ã„ã¾ã™ã€‚ Frugalosã¯Rustã§å®Ÿè£…ã•ã‚Œã¦ãŠã‚Šã€ç¾æ™‚ç‚¹ã§ã¯ä»¥ä¸‹ã®ãƒªãƒã‚¸ãƒˆãƒªãŒå…¬é–‹ã•ã‚Œã¦ã„ã¾ã™: raftlog_protobuf: raftlogã¸ã®Protocol Buffersã‚µãƒãƒ¼ãƒˆã®è¿½åŠ â€œFrugalos"ã£ã¦ä½•ï¼Ÿ â€œFrugal object storage"ã®ç•¥ã§ã™ã€‚ â€œfrugal"ã¯æ—¥æœ¬èªžã§ã¯ã€Œå€¹ç´„ãªã€ã‚„ã€Œç¯€ç´„ã™ã‚‹ã€ã¨ã„ã£ãŸæ„å‘³ã¨ãªã‚Šã€ã€Œèªã¿æ›¸ãæ€§èƒ½ã‚’çŠ ç‰²ã«ã›ãšã«ã€è†¨å¤§ãªæ•°ã®BLOBï¼ˆBinary Large OBjectï¼‰ã‚’ã€å®¹é‡åŠ¹çŽ‡è‰¯ãä¿æŒã™ã‚‹ã€ã“ã¨ã‚’ç›®æŒ‡ã—ã¦é–‹ç™ºã•ã‚Œã¦ã„ã‚‹ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã‚¹ãƒˆãƒ¬ãƒ¼ã‚¸ã§ã™ã€‚ æä¾›ã•ã‚Œã¦ã„ã‚‹æ©Ÿèƒ½ã¯
a2ikm 2018/10/26
rust

distributed

storage

dwango
ãƒªãƒ³ã‚¯
åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®è€éšœå®³æ€§ãƒ†ã‚¹ãƒˆã®å–ã‚Šçµ„ã¿ - Cybozu Inside Out | ã‚µã‚¤ãƒœã‚¦ã‚ºã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ãƒ–ãƒã‚°
ã“ã‚“ã«ã¡ã¯ã€Necoãƒãƒ¼ãƒ ã®æ± æ·»ï¼ˆ@zoetroï¼‰ã§ã™ã€‚ ã‚µã‚¤ãƒœã‚¦ã‚ºãŒæä¾›ã™ã‚‹ã‚¯ãƒ©ã‚¦ãƒ‰ã‚µãƒ¼ãƒ“ã‚¹cybozu.comã§ã¯ã€ã‚¢ãƒ¼ã‚ãƒ†ã‚¯ãƒãƒ£ã‚’åˆ·æ–°ã™ã¹ãã€ŒNecoã€ã¨ã„ã†ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã‚’å®Ÿæ–½ã—ã¦ã„ã¾ã™ã€‚ ãã®ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆã§ã¯ã€ã‚µãƒ¼ãƒã®ãƒ©ã‚¤ãƒ•ã‚µã‚¤ã‚¯ãƒ«ã‚’ç®¡ç†ã™ã‚‹sabakanã‚„ã€Kubernetesã‚¯ãƒ©ã‚¹ã‚¿ã‚’æ§‹ç¯‰ã™ã‚‹ãŸã‚ã®CKE(Cybozu Kubernetes Engine)ãªã©ã®åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã‚’é–‹ç™ºã—ã¦ã„ã¾ã™ã€‚ å®‰å®šã—ã¦ã‚µãƒ¼ãƒ“ã‚¹ã‚’æä¾›ã™ã‚‹ãŸã‚ã«ã¯ã€ã“ã®ã‚ˆã†ãªã‚¤ãƒ³ãƒ•ãƒ©ã‚’æ”¯ãˆã‚‹åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®è€éšœå®³æ€§ãŒé‡è¦ã«ãªã£ã¦ãã¾ã™ã€‚ æœ¬è¨˜äº‹ã§ã¯ã€æˆ‘ã€…ã®ãƒãƒ¼ãƒ ãŒåˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã«å¯¾ã—ã¦ã©ã®ã‚ˆã†ãªè€éšœå®³æ€§ãƒ†ã‚¹ãƒˆã‚’å®Ÿæ–½ã—ã¦ã„ã‚‹ã®ã‹ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚ è€éšœå®³æ€§ã‚’é«˜ã‚ã‚‹ãŸã‚ã« æ©Ÿææ•…éšœ ã‚µã‚¤ãƒœã‚¦ã‚ºã®ç®¡ç†ã™ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã§ã¯1,000å°è¦æ¨¡ã®ã‚µãƒ¼ãƒã‚’æ‰±ã£ã¦ãŠã‚Šã€æ—¥å¸¸çš„ã«ãƒãƒ¼ãƒ‰ã‚¦ã‚§ã‚¢ã®æ•…éšœãŒç™ºç”Ÿã—ã¾ã™ã€‚ ä¾‹ãˆã°ã€ä»¥ä¸‹ã®ã‚ˆã†ãªæ©Ÿææ•…éšœ
a2ikm 2018/10/10
kubernetes

cybozu

distributed

infrastructure
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è‡ªå‹•éšœå®³å›žå¾©ã‚·ã‚¹ãƒ†ãƒ æœˆèªã®è©± - Cybozu Inside Out | ã‚µã‚¤ãƒœã‚¦ã‚ºã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã®ãƒ–ãƒã‚°
@ymmt2005 ã“ã¨å±±æœ¬æ³°å®‡ã§ã™ã€‚çŸã„å¤ä¼‘ã¿ã‹ã‚‰å¸°ã£ã¦ãã¾ã—ãŸã€‚ ä»Šå›žã¯ cybozu.com ã®ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼ã§é‹ç”¨ã‚’é–‹å§‹ã—ãŸè‡ªå‹•éšœå®³å›žå¾©ã‚·ã‚¹ãƒ†ãƒ ã€Œæœˆèªã€ã‚’ç´¹ä»‹ã—ã¾ã™ã€‚éšœå®³ã«ã‚‚è‰²ã€…ã‚ã‚Šã¾ã™ãŒã€ä»Šå›žç´¹ä»‹ã™ã‚‹ã®ã¯ä»®æƒ³ãƒžã‚·ãƒ³ã®ãƒ›ã‚¹ãƒˆã‚µãƒ¼ãƒãƒ¼ã®ç‰©ç†éšœå®³ã‚’æ¤œå‡ºã—ã¦ã€ç¨¼åƒã—ã¦ã„ãŸä»®æƒ³ãƒžã‚·ãƒ³ã‚’äºˆå‚™ã®ãƒ›ã‚¹ãƒˆã«ç§»å‹•ã™ã‚‹ä»•çµ„ã¿ã§ã™ã€‚ æœˆèªã¯ã€ãƒ‡ãƒ¼ã‚¿ã‚»ãƒ³ã‚¿ãƒ¼å…¨åŸŸã«åˆ†æ•£ã—ãŸã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆãŒå”èª¿å‹•ä½œã™ã‚‹ãƒ”ã‚¢ãƒ»ãƒ„ãƒ¼ãƒ»ãƒ”ã‚¢ (P2P)ã‚·ã‚¹ãƒ†ãƒ ã¨ã—ã¦ä½œã‚‰ã‚Œã¦ã„ã¾ã™ã€‚ä»¥ä¸‹åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®è©±é¡ŒãŒå¤šæ•°ã§ã¦ãã¾ã™ãŒã€ã¨ã¦ã‚‚é›£è§£ã¨ã„ã†ã‚ã‘ã§ã¯ãªã„ã®ã§ã€åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®å…¥é–€è¨˜äº‹ã¨ã—ã¦ãŠæ¥½ã—ã¿ãã ã•ã„ã€‚ éšœå®³ã«ã©ã†å¯¾å‡¦ã™ã‚‹ã‹ éšœå®³å¯¾å¿œã®è‡ªå‹•åŒ– è¨è¨ˆã®ãƒã‚¤ãƒ³ãƒˆ ã‚¨ãƒ¼ã‚¸ã‚§ãƒ³ãƒˆé–“é€šä¿¡ éšœå®³ã®æ¤œå‡ºã¨å›žå¾© ãã®ä»–ã®æ©Ÿèƒ½ ã¾ã¨ã‚ éšœå®³ã«ã©ã†å¯¾å‡¦ã™ã‚‹ã‹ ç‰©ç†éšœå®³å¯¾ç–ã®åŸºæœ¬ã¯äºŒé‡åŒ–(å¤šé‡åŒ–)ã§ã™ã€‚ã‚¢ãƒ—ãƒªã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã‚µãƒ¼ãƒãƒ¼ã®ã‚ˆã†ã«ãƒ‡ãƒ¼ã‚¿ã‚’æŒãŸãªã„ã‚µãƒ¼ãƒ
a2ikm 2018/10/10
distributed

monitoring

cybozu
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mefellows/muxy: Chaos engineering tool for simulating real-world distributed system failures
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a2ikm 2018/09/18
distributed

chaos
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åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã®é™ç•Œã«ã¤ã„ã¦çŸ¥ã‚ã†
â†“â†“â†“â†“è¨‚æ£ã‚ã‚Šã¾ã™ã€‚â†“â†“â†“â†“ 2018/07/02ã«æ ªå¼ä¼šç¤¾ã‚¨ãƒ•ã‚³ãƒ¼ãƒ‰ç¤¾å†…ã§è¡Œã‚ã‚ŒãŸå‹‰å¼·ä¼šã®ã‚¹ãƒ©ã‚¤ãƒ‰ã§ã™ã€‚ è¨‚æ£ç‰ˆ(éšæ™‚æ›´æ–°ä¸): https://docs.google.com/presentation/d/15HOMfAbtdWwO48njcB8IdkN3kVAMu3wsmZo0O3S-f_4/edit?usp=sharing å°‚é–€å®¶ã«ã‚ˆã‚‹è³‡æ–™ãƒ»å°‚é–€å®¶å‘ã‘ã®è³‡æ–™ã§ã¯ã‚ã‚Šã¾ã›ã‚“ã€‚è‡ªåˆ†è‡ªèº«ã§å¦ç¿’ã—ã€è«–æ–‡ãƒ»æ–‡çŒ®ç‰ã‚’èªè§£ã—ã¦ã¾ã¨ã‚ãŸå†…å®¹ã¨ãªã‚Šã¾ã™ã€‚é–“é•ã„ç‰ã‚ã‚‹ã‹ã‚‚ã—ã‚Œã¾ã›ã‚“ãŒã€ã‚ã‚Œã°æ˜¯éžã‚³ãƒ¡ãƒ³ãƒˆé ‚ã‘ã‚Œã°ã¨æ€ã„ã¾ã™ã€‚ ã€è¨‚æ£äº‹é …ã€‘ ã‚¹ãƒ©ã‚¤ãƒ‰16: èª¤ï¼šãŸã£ãŸä¸€ã¤ã®ãƒ—ãƒã‚»ã‚¹ãŒæ•…éšœã—ãŸã ã‘ã§ã‚‚æœ‰é™æ™‚é–“ã§åˆæ„ã§ããªã„ æ£ï¼šãŸã£ãŸä¸€ã¤ã®ãƒ—ãƒã‚»ã‚¹ãŒæ•…éšœã—ã†ã‚‹ã ã‘ã§ã‚‚æœ‰é™æ™‚é–“ã§åˆæ„ã§ããªã„ ã‚¹ãƒ©ã‚¤ãƒ‰20: èª¤: é‡è¦: ã‚ã‚‹schedule Ïƒ1, Ïƒ2 ãŒdisjoint (nodeãŒè¢«ã£ã¦ãªã„) ãªã‚‰
a2ikm 2018/07/06
distributed

architecture

slide
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2018å¹´3æœˆ23æ—¥ã‹ã‚‰24æ—¥ã«ã‹ã‘ã¦ã€ãƒ¬ãƒãƒ¬ã‚¸ãƒ¼ã‚ºæ ªå¼ä¼šç¤¾ãŒä¸»å‚¬ã™ã‚‹å›½å†…æœ€å¤§ç´šã®ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢å‘ã‘æŠ€è¡“ã‚¤ãƒ™ãƒ³ãƒˆã€ŒMANABIYA -teratail Developer Days-ã€ãŒé–‹å‚¬ã•ã‚Œã¾ã—ãŸã€‚åŒç¤¾ãŒé‹å–¶ã™ã‚‹IT ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢å‘ã‘ã®Qï¼†Aãƒ•ã‚©ãƒ¼ãƒ©ãƒ ã€Œteratailã€ã®ä¸ã§è§£æ±ºã§ããªã„å•é¡Œã‚’è§£ããŸã‚ã€ä¸€æµã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ãŸã¡ãŒä¸€åŒã«ä¼šã—ã¦ã€ãƒ—ãƒ¬ã‚¼ãƒ³ãƒ†ãƒ¼ã‚·ãƒ§ãƒ³ã‚„ãƒ‘ãƒãƒ«ãƒ‡ã‚£ã‚¹ã‚«ãƒƒã‚·ãƒ§ãƒ³ã‚’è¡Œã„ã¾ã—ãŸã€‚ãƒˆãƒ¼ã‚¯ã‚»ãƒƒã‚·ãƒ§ãƒ³ã€Œåˆ†æ•£å‡¦ç†ã¨ã‚³ãƒ³ãƒ†ãƒŠåŒ–ã‚¤ãƒ³ãƒ•ãƒ©ã®é¢ç™½ã„é–¢ä¿‚ã€ã§ã¯ã€Treasure Dataã®ç”°ç± è¡æ°ãŒç™»å ´ã€‚ã‚³ãƒ³ãƒ†ãƒŠã‚„åˆ†æ•£å‡¦ç†ãŒç”¨ã„ã‚‰ã‚Œã‚‹ãƒ¢ãƒ€ãƒ³ã‚·ã‚¹ãƒ†ãƒ ã®æ½®æµã¨ã€ãã®å•é¡Œç‚¹ã‚’èªžã‚Šã¾ã™ã€‚ åˆ†æ•£å‡¦ç†ã¨ã‚³ãƒ³ãƒ†ãƒŠåŒ–ã‚¤ãƒ³ãƒ•ãƒ©ã®é¢ç™½ã„é–¢ä¿‚ ç”°ç± è¡æ°ï¼ˆä»¥ä¸‹ã€ç”°ç± ï¼‰ï¼šã‚ˆã‚ã—ããŠé¡˜ã„ã—ã¾ã™ã€‚æœ¬æ—¥ã¯ã€ã¼ããŒæœ€è¿‘ã‚„ã£ã¦ã„ã‚‹åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ã¨ã€ã‚³ãƒ³ãƒ†ãƒŠåŒ–ã•ã‚ŒãŸã‚·ã‚¹ãƒ†ãƒ ã®ã“ã¨ã‚’å«ã‚ã¦è©±ã—ã¾ã™ã€‚ è‹±èªžã§è¨€ã†ã¨Containerized
a2ikm 2018/06/30
tagomoris

distributed

container
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Kubernetsã®é–‹ç™ºè€…Brendan Burnsæ°ã«èžã - ã‚³ãƒ³ãƒ†ãƒŠã¨åˆ†æ•£ã‚·ã‚¹ãƒ†ãƒ ãƒ‘ã‚¿ãƒ¼ãƒ³
Spring Bootã«ã‚ˆã‚‹APIãƒãƒƒã‚¯ã‚¨ãƒ³ãƒ‰æ§‹ç¯‰å®Ÿè·µã‚¬ã‚¤ãƒ‰ ç¬¬2ç‰ˆ ä½•åƒäººã‚‚ã®é–‹ç™ºè€…ãŒã€InfoQã®ãƒŸãƒ‹ãƒ–ãƒƒã‚¯ã€ŒPractical Guide to Building an API Back End with Spring Bootã€ã‹ã‚‰ã€Spring Bootã‚’ä½¿ã£ãŸREST APIæ§‹ç¯‰ã®åŸºç¤Žã‚’å¦ã‚“ã ã€‚ã“ã®æœ¬ã§ã¯ã€å‡ºç‰ˆæ™‚ã«æ–°ã—ããƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã‚ã‚‹ Spring Boot 2 ã‚’ä½¿ç”¨ã—ã¦ã„ã‚‹ã€‚ã—ã‹ã—ã€Spring Boot3ãŒæœ€è¿‘ãƒªãƒªãƒ¼ã‚¹ã•ã‚Œã€é‡è¦ãªå¤‰...
a2ikm 2018/03/26
distributed
ãƒªãƒ³ã‚¯
GitHub - treasure-data/perfectsched: Highly available distributed cron built on RDBMS
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a2ikm 2018/02/15
distributed

cron
ãƒªãƒ³ã‚¯
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