エンジニアのためのSRE論文への招待 / Introduction to SRE Papers for Engineers

Transcript

1. ΤϯδχΞͷͨΊͷ 
 SRE࿦จ΁ͷট଴ Yuuki Tsubouchi / @yuuk1t 2023/09/29 SRE NEXT

   2023 IN TOKYO

2. 2 ϓϩϑΟʔϧ Yuuki TSUBOUCHI (yuuk1) ͘͞ΒΠϯλʔωοτݚڀॴɹ্ڃݚڀһ TopotalɹςΫϊϩδΞυόΠβʔ ژ౎େֶେֶӃ ৘ใֶݚڀՊ ത࢜ޙظ՝ఔ

   ೝఆୀֶ https://yuuk.io/ SRE NEXTొஃྺ @yuuk1t 2020 2022 SREͷ૯࿦ 
 औΓ૊ΜͰ͍ΔSREݚڀͷ࿩ جௐߨԋ ެืηογϣϯ AIOpsݚڀͷ࿩ ݪҼ਍அͷࣗಈԽ

3. 3 ɾຊߨԋ͸ɺιϑτ΢ΣΞΤϯδχΞʹͱֶͬͯज़࿦จΛ௨ٕͨ͡ज़త ௅ઓ͸ͳʹ͔ʁͷ໰͍ʹԠ͑ΔࢼΈͰ͢ ɾΤϯδχΞͱͯ͠ͷ৽ͨͳ௅ઓͷख͕͔ΓΛಘΔ͖͔͚ͬʹͳΕ͹޾ ͍Ͱ͢ ຊߨԋͷझࢫ Engineer Research Diversity

4. 1. ͸͡Ίʹ

5. 5 SREͷपลٕज़͸ɺւ֎ͰͷαʔϏεɾOSSͷల։͕׆ൃԽ SREपลٕज़ͷϚωʔδυԽͱ௅ઓػձͷݮগ ࠃ಺Ͱ͸SREs͕ࣗΒٕज़Λ։ൃ͢Δ ௅ઓػձ͸ྑ͘΋ѱ͘΋ҎલΑΓݮগ͍ͯ͠Δ ϝΨΫϥ΢υࣄۀऀͷߴ౓ͳΠϯϑϥٕज़ΛαʔϏεల։ CNCFɺHashicorpͳͲͷஂମɾاۀʹΑΔߴ౓ͳΠϯϑϥٕज़ͷOSSల։ ӡ༻ٕज़ʢObservabilityͳͲʣͷSaaSల։

6. 6 ̕೥લͷϒϩάهࣄʮΠϯϑϥΤ ϯδχΞ޲͚γεςϜܥ࿦จʯ ɾOS,DB,NWܥ࿦จͷ঺հ ΤϯδχΞͱ࿦จ ※1 y_uuki, ΠϯϑϥΤϯδχΞ޲͚γεςϜܥ࿦จ, 2014 https://blog.yuuk.io/entry/system-papers.

   ※2 engineering-reading-papers.md, https://gist.github.com/yuuki/20f22bdd85a00630006b8dab6386881e ※1 ɾSREͷීٴҎޙɺ࿦จʹSREͷݴٴ΍SREbookͷҾ༻͕ΈΒΕΔ ɾ࿦จΛಡΉ͜ͱʹڵຯΛ࣋ͭɾಡΜͰ͍ΔΤϯδχΞ͸গͳ͘ͳ͍ ɾಛʹٕज़࿦จ͸ٕज़ऀ͕ಡΉ͜ͱΛ૝ఆ͍ͯ͠Δ͸ͣ ※2

7. ΤϯδχΞ͸࢖͍ͬͯΔΫϥ΢υαʔϏε΍OSSͷཧղͷͨΊʹಡ ΜͰ͍Δ 7 ɾࣾձ࣮૷ޙʹ࿦จൃද͞Εٕͨज़ͷఏҊ࿦จ ɾ࿦จൃදޙʹࣾձ࣮૷͞Εɺීٴٕͨ͠ज़ͷఏҊ࿦จ ٕज़࿦จͷେ෼ྨ طීٴٕज़࿦จ ະීٴٕज़࿦จ ※1 rrreeeyyy,

   ”Web αʔϏεͷ৴པੑͱӡ༻ͷࣗಈԽʹ͍ͭͯ”, ৘ใॲཧֶձୈ40ճΠϯλʔωοτͱӡ༻ٕज़ݚڀձ ɹɹ ɹ ট଴ߨԋ, 2018೥ https://speakerdeck.com/rrreeeyyy/iot40-rrreeeyyy. ※1 ɾ·ͩීٴ͍ͯ͠ͳ͍ٕज़ΛఏҊ͢Δ࿦จ ※ ൃදऀʹΑΔಠࣗͷ෼ྨͱ༻ޠ ྫʣ Aurora, DynamoDB, Spanner, TiDB, CockroachDB, Firecracker, gVisor, Dapper, Gorillaͷࠩ෼ූ߸Խ, Monarch…

8. 8 SRE࿦จͷ୳͠ํɾಡΈํ͸஌ΒΕ͍ͯͳ͍… ࠓ೔ͷߨԋͷಈػ ΤϯδχΞ͕ΞΠσΟΞΛ୳ͨ͢ΊͷɺSRE෼໺ͷະීٴ ٕज़࿦จʹண໨ͨ͠ɺ࿦จͷ୳͠ํͱಡΈํΛ঺հ ৽͍ٕ͠ज़Λ࣮૷ɾద༻ ͍ͨ͠ΤϯδχΞ ະීٴٕज़࿦จͷ ΞΠσΟΞ ※1

   ΦʔϓϯιʔεͱΞϧΰϦζϜͷಛڐ, https://ny23.hatenadiary.org/entry/20100701/p1 ⾠ಛڐొ࿥ࡁΈͷ৔߹ʹ஫ҙ ※1 🤝

9. 2. ࿦จʹؔ͢Δલఏ஌ࣝ

10. 10 ਓྨʹ஝ੵ͞Εͨʮ஌ʯͷྖҬΛԡ͠޿͛ͨূͱͯ͠ͷจॻ ֶज़࿦จͱ͸ ※ ൃදऀʹΑΔಠࣗͷఆٛ খɾதֶߍ ߴߍ େֶ म࢜՝ఔ ത࢜՝ఔ

    The illustrated guide to Ph.DΑΓൈਮɾҰ෦վม طଘͷ஌ʹରͯ͠৽ͨʹ ੵΈ্͛ͨ஌Λ࿦ূ ࢀߟɿখ໺ా ३ਓ, “ത࢜՝ఔͷޡղͱਅ࣮ ʔਐֶʹ޲͚ͯɺ྆਌Λઆಘͨ͠ࢿྉΛ΋ͱʹʔ“, 2018೥. https://www.slideshare.net/atsutoonoda/ss-124873093. ਓྨͷط஌ྖҬ ਓྨͷະ஌ྖҬ

11. 11 ֶज़࿦จͷओͳ۠෼ ֶҐ࿦จ ֶҐΛಘΔͨΊʹେֶػؔͳͲʹఏग़͞ΕΔ࿦จ ܝࡌ࿦จ ࢀߟ ࿦จͷछྨͷҧ͍, 2008೥ https://next49.hatenadiary.jp/entry/20080612/p2. ɹɹ

    ࿦จͷछྨͱҐஔ͚ͮ, https://wrc.sfc.keio.ac.jp/?p=129 ഔମʹܝࡌ͞ΕΔ࿦จɻֶձʢACMɺIEEEͳͲʣ͕ӡӦ ࿦จࢽ࿦จ ձٞ࿥࿦จ ࡶࢽʹܝࡌ͞ΕΔɻδϟʔφϧ࿦จͱ΋ݺ͹ΕΔɻ ΧϯϑΝϨϯεͰޱ಄ൃද͞ΕΔɻ ɾ৘ใՊֶܥͰ͸ɺࠃࡍձ͕ٞଞ෼໺ΑΓॏࢹ͞ΕΔ ɾݚڀͷ࠷ऴ׬੒൛Λެ։͢Δ৔ͱͯ͠ͷҐஔ͚ͮ ɾஶऀͷݚڀ׆ಈΛ૯ׅ͢Δɻ ɾෳ਺ͷܝࡌ࿦จͷ಺༰Λܨ͗߹ΘͤΔ͜ͱ΋͋Δɻ ※ओʹ৘ใՊֶܥͷ۠෼ ࣮ࡍʹಡΉຊ਺ ͕ଟ͍

12. 12 ֶज़࿦จͷ಺༰ʹΑΔ۠෼ʢ৘ใՊֶܥʣ ݚڀ࿦จʢresearchʣ ૯આɾௐࠪ࿦จʢreview, surveyʣ ɾطଘͷ࿦จ΍੡඼Λௐ΂্͛ɺ෼ྨͨ͠ΓൺֱධՁ͢Δ࿦จ ɾA Survey of/on …

    Ͱ࢝·Δද୊ͷ࿦จ͕ଟ͍ ɾ৽نੑͷ͋ΔΞϧΰϦζϜ΍γεςϜΛఏҊ͢Δ࿦จ ɾ௕͞ʹΑͬͯɺFull/Short/Poster/Position paperͳͲʹ۠෼͞ΕΔ ࢈ۀ࿦จʢindustrialʣ ɾ࣮ੈքͷγεςϜͷ࣮ࡍతͳ໰୊ɺ؍࡯ɺଌఆʹॏ఺Λஔ͘ ɾ࿦จ਺͸࢒೦ͳ͕Βଟ͘ͳ͍ ※1 MIDDLEWARE 2020 CALL FOR INDUSTRY PAPERS, 2022 https://middleware-conf.github.io/2022/call-for-industry-papers/. ※2 SIGMOD 2023 Call for Papers - Industrial Track https://2023.sigmod.org/calls_industrial_track_papers.shtml. ྫ ※1,2 ࣮ࡍʹಡΉຊ਺͕ଟ͍

13. σʔλϕʔε ετϨʔδ 13 SRE࿦จͱ͸ ※ൃදऀಠࣗͷ༻ޠ ຊߨԋͰͷSRE࿦จͷൣғ ιϑτ΢ΣΞ޻ֶ γεςϜ ιϑτ΢ΣΞ OSɺ෼ࢄγεςϜɺ

    ݴޠॲཧܥ ίϯϐϡʔλ ωοτϫʔΫ ιϑτ΢ΣΞͷ඼࣭ɾ։ൃ ଎౓ɾอकੑ ৴པੑ޻ֶ ػց΍ݐங෺ͳͲͷނ োʹର͢Δ৴པੑΛ෼ ੳ͢Δ Ϋϥ΢υ ίϯϐϡʔςΟϯά Site Reliability Engineering SLI/SLOɺObservabilityɺ Πϯγσϯτ؅ཧɺ… ֶࡍྖҬͰ͋ΔͨΊ ໌֬ͳઢҾ͖͸ࠔ೉

14. 3. SRE࿦จͷ୳͠ํ

15. 15 ɾSRE࿦จͰ͸ɺೋ࣍৘ใ΍ΩϡϨʔλʔ͕ӳޠݍؚΊͯগͳ͍ ɾೳಈతͳ୳ࡧ๏ʢ৘ใݕࡧʣʹཔΔ ɾओཁͳࠃࡍձٞͷϓϩάϥϜ ɾ࿦จ༻ͷݕࡧΤϯδϯ ɾ࿦จͷҾ༻ɾඃҾ༻จݙ ୳͠ํͷجຊํ਑ ڵຯͷ͋Δ࿦จΛҰͭൃݟ ͢Ε͹ҶͮΔࣜʹൃݟՄೳ

16. 16 SRE࿦จ͸ෳ਺ͷ෼໺ͷձٞʹ఺ࡏ͍ͯ͠Δʢp.13ࢀরʣ SREؔ࿈ͷࠃࡍձٞ yuuk1/sre-related-conferences-list.md https://gist.github.com/yuuki/60b768fcb6bdf3f3552ee59f5a9e4972 SREؔ࿈ͷࠃࡍձٞϦετʢൃදऀ࡞੒ʣ ɾCORE RankͳͲ͍͔ͭ͘ͷϥϯΫ෇͚ࢦඪ͕͋Δ ɾτοϓձٞ࿦จ͸͓΋͠Ζ͍͕ΦʔόʔςΫϊϩδʔʹ΋ͳΓ͑Δ ɾRank

    Bલޙͷձٞͷ΄͏͕਎ۙʹײ͡΍͍͔͢΋͠Εͳ͍

17. 17 ɾΠϯσΩγϯά͕ૣ͘ಈ࡞΋ߴ଎ ɾޙड़͢Δ௨஌ػೳ͕ศར ɾ೉఺ɿSREconͷαΠτ͕ώοτ ࿦จݕࡧΤϯδϯ Google Scholar Connected Papers ɾ࿦จؒͷҾ༻ؔ܎Λ௥੻͠΍͍͢

    ɾແྉϓϥϯͰ͸ػೳ੍͕ݶ͞ΕΔ ݕࡧΩʔϫʔυ ɾ“Observability”ͳͲ͸ଞ෼໺ͷ࿦จ͕ώοτ͕ͪ͠ ɾଞ෼໺Ͱ͸࢖Θͳ͍ϚδοΫϫʔυʢ“Microservices”ͳͲʣΛؚΊΔ ɾૈ͍ϑΟϧλʔͱͯ͠ACM, IEEE, USENIXͷ࿦จΛબͿ ※1 Connected Papers, https://www.connectedpapers.com/. ※1

18. 18 SRE࿦จΛ୳͢ํ๏ SREbookͷҾ༻࿦จ ࠃࡍձٞͷ८ճ SRE΁ͷؔ࿈ॏࢹ ෼໺ɾ৽઱͞ɾ࣭ॏࢹ ઌͷϦετͷFieldʹ - Software Engineering

    - Reliability - Cloud Computing ͷ͍ͣΕ͔ΛؚΉձٞͷϓϩάϥϜΛ ΈΔ SREͷؔ࿈ ੑΑΓڧΊ ̍ձٞ։࠵͋ͨΓ1,2ຊ ൃݟͰ͖Ε͹े෼

19. 19 ϒοΫϚʔΫʹ͸Paperpile͕͓͢͢Ί ɾ࿦จϑΝΠϧΛGoogle DriveʹϑΝΠϧ໊Λਖ਼نԽͯ͠อଘՄೳ ɾϒϥ΢β֦ுͰGoogle Scholarͱ࿈ܞՄೳ ࿦จͷϒοΫϚʔΫͱ௨஌ Google Scholar Alert

    ɾҭ͍ͯͯ͘ͱडಈతͳ୳ࡧ͕Ͱ͖ΔΑ͏ʹͳΔ ɾϝʔϧ௨஌Մೳ ɾϑΥϩʔதͷ࿦จ͕ଞ࿦จʹҾ༻͞Εͨͱ͖ ɾϑΥϩʔதͷஶऀ͕৽ن࿦จΛެ։ͨ͠ͱ͖ ※1 Paperpile, https://paperpile.com/ ※1

20. 20 SRE࿦จͷྫ Hauer, et al., “Meaningful Availability”, NSDI 2020. [Hauer+,NSDI2020]ͷදࢴͷసࡌ

    ɾGoogleͷG SuiteͰ༻͍ΒΕ͍ͯΔՄ༻ੑࢦඪ ɾαʔϏεԽ΍OSSԽ͸͞Ε͍ͯͳ͍ະීٴٕज़ ɾSREcon21ͰPinterestͰͷద༻ࣄྫ͋Γ ※1 Anika Mukherji, User Uptime in Practice, SREcon, 2021. ※1

21. 21 ͦͷଞͷSRE࿦จͷྫʢ̍ʣ eBPF༝དྷͷϝτϦΫεΛίϯςφͷ഑ஔઓུ΍ੑೳղੳʹ࢖༻ Neves, et al., Black-box Inter-application Traf fi

    c Monitoring for Adaptive Container Placement, SAC, 2020. Amaral, et al., MicroLens: A Performance Analysis Framework for Microservices Using Hidden Metrics With BPF, CLOUD, 2022. ෼ࢄτϨʔεͷαϯϓϦϯά໰୊Λղܾ͢ΔMLϞσϧ ϓϩμΫγϣϯͷΠϯγσϯτͷ෼ੳ Wu, et al., An Empirical Study on Change-induced Incidents of Online Service Systems, ICSE 2023. Ghoso, et al., How to Fight Production Incidents? An Empirical Study on a Large-scale Cloud Service, SoCC 2022. Huang, et al., Sieve: Attention-based Sampling of End-to-End Trace Data in Distributed Microservice Systems, ICWS, 2021. Las-Casas, et al., Sifter: Scalable Sampling for Distributed Traces, without Feature Engineering, SoCC, 2019.

22. 22 ͦͷଞͷSRE࿦จͷྫʢ̎ʣ LLMΛ༻͍ͨো֐ͷݪҼ਍அ΍ϩά෼ੳ Ahmed, et al., Recommending Root-Cause and Mitigation

    Steps for Cloud Incidents using Large Language Models, ICSE 2023. Gupta, et al., Learning Representations on Logs for AIOps, CLOUD 2023. ϝτϦΫε͔Β߹੒͞ΕͨSLOΛ༻͍ͨಈతεέʔϦϯάϑϨʔϜϫʔΫ Nastic, et al., SLOC: Service Level Objectives for Next Generation Cloud Computing, IEEE Internet Computing 24(3). Pusztai, et al., SLO Script: A Novel Language for Implementing Complex Cloud-Native Elasticity- Driven SLOs, ICWS, 2021. Pusztai, et al., A Novel Middleware for Ef fi ciently Implementing Complex Cloud-Native SLOs, CLOUD, 2021. Nastic, et al., Polaris Scheduler: Edge Sensitive and SLO Aware Workload Scheduling in Cloud- Edge-IoT Clusters, CLOUD, 2021. OSS: https://github.com/polaris-slo-cloud/polaris-slo-framework.

23. 4. SRE࿦จͷಡΈํ SRE࿦จʹݻ༗ͷಡΈํ͸ͳ͘ɺ ৘ใՊֶܥͷ࿦จͷಡΈํΛ঺հ͢Δ

24. 24 ࿦จΛ୳͢ͱ͖͸଎ಡ ࣮૷ɾద༻Λݕ౼͢Δͱ͖͸ਫ਼ಡ ಡΈํͷجຊํ਑ ※ ࿦จʹ׳Ε͍ͯͳ͍͏ͪ͸ Կຊ͔ਫ਼ಡΛͨ͠΄͏͕Α͍ ʮSRE࿦จͷྫʯͷ࿦จΛϐο ΫΞοϓͯ͠ಡΉͳͲ λΠτϧɾཁ໿ɺਤද

    ͚ͩΛಡΉ ϊʔτΛͱΓͳ͕ΒಡΉ ʢޙଓϖʔδࢀরʣ ಡΈ͍ͨ࿦จ͔Ͳ͏͔ Λૣ͘δϟοδ ࢀߟɿ඼઒ ੓ଠ࿠, ”࿦จͷಡΈํɾॻ͖ํɾݚڀࣨͷա͝͠ํ - NAIST”, 2020 https://bit.ly/naist-how-to-research.

25. 25 Introduction ৘ใܥ࿦จͷయܕߏ੒ͱಡΉॱ൪ Related Work Method Experiment Conclusion Abstract ᶃ

    ᶅ ᶄ ᶆ ᶇ ͜ͷ࿦จͰ͸ԿΛ͔ͨ͠ʁ Ͳ͜·ͰͰ͖ͨͷ͔ʁ ͳͥ͜ͷ࿦จ͕ॏཁͳͷ͔ʁ ᶈ ໰୊͕ͪΌΜͱղ͚͍ͯΔ͔ʁ ଞͱԿ͕ҧ͏͔ʁ ͦͷҧ͍͔Β͘Δ໰୊͸ͳʹ͔ʁ ࿦จͷҐஔ͚ͮ ࿦จͷཁ໿ ؔ࿈ݚڀͱ໰୊ઃఆ ఏҊͷৄࡉ ࣮ݧɾධՁɾߟ࡯ ݁࿦ ໰୊ΛͲ͏΍ͬͯղ͍͔ͨʁ ࢀߟɿམ߹ཅҰ,ઌ୺ٕज़ͱϝσΟΞදݱ#1 #FTMA15, 2015 https://www.slideshare.net/Ochyai/1-ftma15.

26. 26 IntroductionͷಡΈํ ࣾձͷഎܠ ໰୊ҙࣝ Ұൠతͳ هड़ ᶃ ࿦จݻ༗ͷ ࿩୊ ᶄ

    ࿦จͷఏҊʹ ࠷΋͍ۙഎܠ طଘख๏ ͱͦͷ՝୊ ᶅ ᶆ ఏҊͷ֓ཁ ධՁͷ֓ཁ Introduction͸࿦จͷશମ૾͕ॻ͍ͯ͋ΔͷͰ௒ॏཁ ޿͘஌ΒΕͨ໰୊ ᶄʹΞϓϩʔν ͖ͯͨ͠ઌਓୡ ᶅͷ՝୊Λղܾ ͢Δղܾࡦ

27. 27 IntroductionͷಡΈํʢྫʣ എܠ/໰୊ҙࣝ Hauer, et al., “Meaningful Availability”, NSDI 2020.

    ΑΓసࡌ ᶃ ᶄ ᶅ ᶆ ৴པੑΛఆྔԽ windowed user-uptime طଘख๏ͷ՝୊ ੒ޭ཰͸ΞΫςΟ ϒϢʔβʔʹภΔ ͳͲ ఏҊख๏ ධՁํ๏ ੒ޭ཰ͱൺֱ G Suiteͷσʔλ Λ࢖༻ SLI should be - meaningful - proportional - actionable ͜ΕΒͷཁ݅Λ ຬͨ͢ࢦඪ͸ͳ ͍

28. 28 Q1. औΓ͔͋ͭ͏໰୊͸ͳʹ͔ʁͦͷ໰୊ʹڵຯ͸͋Δ͔ʁ ɾHowʹ໨͕ߦ͖͕ͪ ࣮૷ɾద༻͢Δ্Ͱͷண໨఺ Q2. ࣮ݧ؀ڥ΍࣮ݧ৚݅͸ɺࣗ෼ͷ૝ఆͷൣғ಺͔ʁ ɾ࣮ݧ؀ڥͷن໛͕খ͗͢͞Δ·ͨ͸େ͖͗͢Δ͜ͱ΋ Q3. ࣮ݧ݁Ռ͸ظ଴Ͱ͖Δ݁Ռ͔ʁ

    Q4. ఏҊ಺༰͸ݱ࣮తʹ࣮૷ɾద༻Մೳ͔ʁ ɾ࿦จޙ൒ͷDiscussionʹݴٴ͕͋Δ৔߹΋͋Δ ɾίʔυ΍σʔλ͕ඇެ։ͳ͜ͱ΋ଟ͍

29. 29 ຋༁ɾཁ໿πʔϧ ຋༁ʹ͸Readable͕͓͢͢Ί ɾPDFͰग़ྗՄೳɺݩͷϨΠΞ΢τ͕΄΅ҡ࣋͞ΕΔ ɾ࿨จͱӳจͷϖʔδ͕ަޓʹग़ྗ͞ΕΔͨΊɺݟ։͖ͰಡΊΔ LLMΛ༻͍ͨཁ໿ ɾ࿦จʹ͸ஶऀ͕͚ͭͨ࠷దͳཁ໿͕͋Δ ɾ࿦จ͸͋Δఔ౓ڞ௨ͷߏ଄Λ΋ͭͨΊɺ׳ΕΔͱૣ͘ಡΊΔ ɾ࣮૷ɾద༻޲͖ͷ৘ใநग़ϓϩϯϓτΛ࡞੒͢Ε͹ɺ΋ͬͱޮ཰ ԽͰ͖Δ͔΋

    ※1 Readable https://readable.jp/. ※1

30. 30 ಡΜͩ࿦จΛ೴ͰهԱ͓ͯ͘͜͠ͱ͸೉͍͠ ɾಛʹະීٴٕज़࿦จ͸ɺͦͷ࿦จҎ֎Ͱ͸ΈΒΕͳ͍஌ΛؚΉ ɾ࿦จͷϢχʔΫ͞Λཧղ͢ΔͨΊʹ࿦จݻ༗ͷจ຺͕͋Δ ಡॻه࿥ ࿦จಡΈϊʔτΛ࡞Δ ɾ࿦จͷ஍ਤΛ࡞Δɻ࿦จؒͷܨ͕Γ΍छผ͝ͱͷ෼ྨΛߦ͏ɻ ɾωοτϫʔΫܕͷϊʔτΞϓϦObsidian͕͓͢͢Ί ɾϒοΫϚʔΫܥπʔϧ͸طಡ؅ཧʹ͸޲͍͍ͯΔ͕ɺࣗ෼ͷ஌ࣝ ੔ཧʹ͸޲͔ͳ͍ʢൃදऀओ؍ʣ

    ࢀߟɿjoisino, ”࿦จಡΈͷ೔՝ʹ͍ͭͯ”, 2023 https://joisino.hatenablog.com/entry/2023/04/10/170519.

31. 31 ObsidianͰͷ࿦จϊʔτྫ ϚοϓϊʔτʢMap of Contentsʣ SRE LoungeͷSlack #topic-aiops ʹϦϯΫ͋Γ ࿦จ͝ͱͷݸผϊʔτ

32. 5. Ή͢ͼ

33. 33 ɾΤϯδχΞͱະීٴٕज़࿦จͷϚονϯάͷՄೳੑΛఏࣔ ɾࠃࡍձٞͷݚڀ࿦จΛର৅ʹɺೳಈతͳ୳͠ํͱSRE࿦จྫΛ঺հ ɾ࿦จͷಡΈํʢಛʹIntroductionʣͱಡॻه࿥ͷํ๏Λ঺հ ·ͱΊ ɾະීٴٕज़࿦จΛ࣮૷ɾద༻͢ΔͳΒɺෆ࣮֬ੑʹର͢Δ֮ޛ͸ඞཁ ɾ͏·͍͔͘ͳ͘ͱ΋ଞʹ͸ͳ͍ਂ͍஌ࣝΛಘΒΕΔ͸ͣ ɾ΋͠طଘ࿦จͷ՝୊Λൃݟ͠ղܾͨ͠ΒͦΕ͸΋͸΍ݚڀ ϝοηʔδ

34. 34 ɾ࠷৽ͷओཁͳSRE࿦จΛ̍ਓͰ௥੻͠ଓ͚Δ͜ͱ͸ࠔ೉ ɾΤϯδχΞ໨ઢͰͷSRE࿦จͱͷ෇͖߹͍ํ͸·ͩ·ͩख୳Γ ࠓޙͷ׆ಈ Interactivity ૬ޓʹ৘ใڞ༗Λ͍͖͍ͯͨ͠ ɾSRE Loungeͷ #sre-paper ɾXʢچTwitterʣͷϋογϡλά

    #SRE࿦จ঺հ

35. 35 1. ඼઒ ੓ଠ࿠, ”࿦จͷಡΈํɾॻ͖ํɾݚڀࣨͷա͝͠ํ - NAIST”, 2020 https://bit.ly/naist-how-to- research.

    2. མ߹ཅҰ, ”ઌ୺ٕज़ͱϝσΟΞදݱ#1 #FTMA15”, 2015 https://www.slideshare.net/Ochyai/1-ftma15. 3. ຊଟ ྙ෉, ”γεςϜܥ࿦จͷಡΈํͱ୳͠ํ”, https://micchie.net/ fi les/RG-HowToPaper.pdf. 4. joisino, ”࿦จಡΈͷ೔՝ʹ͍ͭͯ”, 2023 https://joisino.hatenablog.com/entry/2023/04/10/170519. 5. S. Keshav, “How to Read a Paper”, ACM SIGCOMM Computer Communication Review, 2007. ࢀߟจݙ