͍ͪͱΆXJUI4DSVN5FDINFFWPM $IBUXPSLגࣜձࣾപ୩େี EBJLTZ εΫϥϜͷεέʔϧ ͱνʔϜτϙϩδʔ

പ୩େี !EBJLTZ͍ͩ͘͠ʔ $IBUXPSLגࣜձࣾΤϯδχΞϦϯάϚωʔδϟʔ ΤϯδχΞ૊৫։ൃࢧԉ ΞδϟΠϧίʔν νʔϜϑΝγϦςʔγϣϯ 4DSVN!4DBMF

പ୩େี !EBJLTZ͍ͩ͘͠ʔ $IBUXPSLגࣜձࣾΤϯδχΞϦϯάϚωʔδϟʔ ΤϯδχΞ૊৫։ൃࢧԉ ΞδϟΠϧίʔν νʔϜϑΝγϦςʔγϣϯ 4DSVN!4DBMF 4/4Ͱ͸͜ΜͳΞΠίϯΛ Α͘࢖͍ͬͯ·͢

νʔϜτϙϩδʔ ͭͷνʔϜλΠϓ ͭͷΠϯλϥΫγϣϯϞʔυ ద੾ͳνʔϜڥք ίϯ΢ΣΠͷ๏ଇ અཧ໘ ೝ஌ෛՙ FUDʜ

νʔϜτϙϩδʔ ͭͷνʔϜλΠϓ ͭͷΠϯλϥΫγϣϯϞʔυ ద੾ͳνʔϜڥք ίϯ΢ΣΠͷ๏ଇ અཧ໘ ೝ஌ෛՙ FUDʜ ࣮ࡍʹ͜ΕΛͲ͏ݱ৔ͷνʔϜʹ౰ͯ͸ΊΔʁ

QRC Team Topologies Based on Team Topologies, QRC by Henny Portman, May 2020 Stream-Aligned Team Enabling Team Platform team Stream-Aligned Team Complicated- Subsystem Team Interaction mode: X-as-a-Service Interaction mode: X-as-a-Service Interaction mode: Facilitating Interaction mode: Collaborating Primary interaction modes for the 4 fundamental team topologies: Collaboration: working closely together with another team X-as-a Service: consuming or providing something with minimal collaboration Facilitating: helping (or being helped by) another team to clear impediments Evolution of team topologies Discover Establish Use Stream-Aligned Team: a team aligned to the main flow of business change, with cross-functional skills mix and the ability to deliver significant increments without waiting on another team. Platform team: a team that works on the underlying platform supporting stream-aligned teams in delivery. The platform simplifies otherwise complex technology and reduces cognitive load for teams that use it. Enabling team: a team that assists other teams in adopting and modifying software as part of a transition or learning period. Complicated-Subsystem Team: a team with a special remit for a subsystem that is too complicated to be dealt with by a normal stream-aligned team or platform team. Optional and only used when really necessary. Conway’s law: “Organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” Cognitive load: “The total amount of mental effort being used in the working memory.” Restrict team responsibilities to match the maximum team cognitive load. • Intrinsic cognitive load – relates to aspects of the task fundamental to the problem space • Extraneous cognitive load – relates to the environment in which the task is being done • Germane cognitive load – relates to aspects of the task that need special attention for learning or high performance Scaling teams: Organizational groupings should follow Dunbar’s number, beginning with around 5- 8 people, then increasing to around 15 people, then 50, then 150, then 500, and so on. Brook’s law: “Adding new people to a team doesn’t immediately increase its capacity.: Live Rapid feedback Team first approach: start with the team for effective software delivery. There are multiple aspects to consider and nurture: team size, team lifespan, team relationships, and team cognition. Organizational sensing: expect to adapt and evolve your organization structure. ίϯ΢ΣΠͷ๏ଇ: “γεςϜΛઃܭ͢Δ૊৫͸… ͦͷ ૊৫ͷίϛϡχέʔγϣϯߏ଄Λίϐʔͨ͠ߏ଄ͷઃ ܭΛੜΈग़͢͜ͱʹͳΔ” νʔϜϑΝʔετͷऔΓ૊Έ: ιϑτ΢ΣΞσϦόϦʔͷ ޮՌΛߴΊΔͨΊͷνʔϜ͔Β࢝ΊΔɻצҊ͢΂͖؍఺͸ ෳ਺͋Δ: νʔϜαΠζɺଘଓظؒɺؔ܎ੑɺೝ஌ෛՙ ૊৫తηϯγϯά(Organizational Sensing): ૊৫ߏ଄ΛదԠɾൃలͤ͞ Δ͜ͱΛ໨࿦Ή νʔϜͷεέʔϧ: ૊৫ߏ଄ͷάϧʔϐϯά͸μϯόʔ਺ʹै ͏ɻ·ͣ͸5-8໊͔Β࢝ΊΔɻ࣍ʹ15໊ఔ౓ɺͦΕ͔Β50 ໊ɺ150໊ɺ500໊ɺͱ͢Δ ϒϧοΫεͷ๏ଇ: “ਓһΛ௥Ճͯ͠΋ɺνʔϜͷΩϟύγςΟ͸ ͙͢ʹ૿Ճ͢ΔΘ͚Ͱ͸ͳ͍” ετϦʔϜΞϥΠϯυνʔϜ: Ϗδ ωεతมߋͷओཁͳʮྲྀΕ(Flow)ʯ ʹ޲͚ͯฤ੒͞ΕΔνʔϜɻ৬ೳ ԣஅεΩϧͷ༥߹ମͰ͋ΔͨΊɺ ଞνʔϜͷ࡞ۀΛ଴ͭ͜ͱͳ͘ҙ ٛͷ͋ΔΠϯΫϦϝϯτΛσϦό ϦʔͰ͖Δೳྗ͕උΘ͍ͬͯΔ ϓϥοτϑΥʔϜνʔϜ: ετϦʔϜΞϥΠϯυ νʔϜͷσϦόϦʔΛαϙʔτ͢Δج൫ͱͳΔϓ ϥοτϑΥʔϜΛ࢓ࣄͷྖҬͱ͢ΔνʔϜɻϓϥο τϑΥʔϜ͸ෳࡶͳٕज़Λγϯϓϧʹ͢Δ͜ͱͰɺ ͦΕΛར༻͢ΔνʔϜͷೝ஌ෛՙΛܰݮ͢Δ ίϯϓϦέΠςΟουɾαϒγεςϜνʔϜ: ෳ ࡶ͗ͯ͢௨ৗͷετϦʔϜΞϥΠϯυνʔϜ΍ϓ ϥοτϑΥʔϜνʔϜͰ͸ରॲͰ͖ͳ͍αϒγε ςϜʹಛԽͯ͠औΓ૊ΉνʔϜɻຊ౰ʹඞཁͳ৔ ߹ɺͦΕ͕࠷ળͰ͋Δ৔߹ʹͷΈฤ੒͞ΕΔ ΠωΠϒϦϯάνʔϜ: Ҡߦ΍ֶशظؒͷҰ؀ͱ ͯ͠ɺଞͷνʔϜ͕ιϑτ΢ΣΞΛ࠾༻͢Δ͜ͱ΍ มߋ͢Δ͜ͱΛΞγετ͢ΔνʔϜ ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ຊ൪ ਝ଎ͳ ϑΟʔυόοΫ νʔϜτϙϩδʔͷൃల ൃݟ ཱ֬ ར༻ ೝ஌ෛՙ: “ϫʔΩϯάϝϞϦʹׂΓ౰ͯΒΕΔϝϯλϧ ΤϑΥʔτͷ૯ྔ”ɻνʔϜͷ੹຿͸νʔϜͷೝ஌ෛՙͷ ্ݶ੍͕໿ͱͳΔɻ ɾ಺ࡏੑ(intrinsic)ೝ஌ෛՙ ʔ ໰୊ྖҬͷຊ࣭ʹؔ࿈͢Δ λεΫʹ·ͭΘΔෛՙ ɾ֎ࡏੑ(extraneous)ೝ஌ෛՙ ʔ औΓ૊ΉλεΫͷ؀ڥ ʹ·ͭΘΔෛՙ ɾద੾ͳ(germane)ೝ஌ෛՙ ʔ ֶश΍ϋΠύϑΥʔϚϯ εΛൃش͢ΔͨΊʹऔΓΘ͚஫ҙྗΛཁ͢ΔλεΫʹ·ͭ ΘΔෛՙ جૅͱͳΔνʔϜτϙϩδʔ(4छྨ)ͷؒͷΠϯ λϥΫγϣϯϞʔυ: ίϥϘϨʔγϣϯ: ଞͷνʔϜͱີ઀ʹ࿈ܞ͢ Δ X-as-a Servie: ࠷খݶͷίϥϘϨʔγϣϯͰ ʮԿ͔ʯΛఏڙ/ར༻͢Δ ϑΝγϦςΠςΟϯά: ๦֐෺ΛऔΓআͨ͘Ί ʹଞͷνʔϜΛԉॿ͢Δ(ԉॿ͞ΕΔ) νʔϜ τϙϩδʔ Quick Reference Card Japanese translation by @kakutani, Oct 2021 - v1.0.1 IUUQTTDSBQCPYJPJLJJLJ23$@5FBN@5PQPMPHJFTKB

w νʔϜτϙϩδʔ w 4DSVN!4DBMF w ೃછΈͷਂ͍εΫϥϜͷݱ৔ʹ ͍ͪͱΆΛద༻͢ΔҰྫΛߟ͑ ͯΈΔ ͍ͪͱΆͷద༻ QRC Team Topologies Based on Team Topologies, QRC by Henny Portman, May 2020 Stream-Aligned Team Enabling Team Platform team Stream-Aligned Team Complicated- Subsystem Team Interaction mode: X-as-a-Service Interaction mode: X-as-a-Service Interaction mode: Facilitating Interaction mode: Collaborating Primary interaction modes for the 4 fundamental team topologies: Collaboration: working closely together with another team X-as-a Service: consuming or providing something with minimal collaboration Facilitating: helping (or being helped by) another team to clear impediments Evolution of team topologies Discover Establish Use Stream-Aligned Team: a team aligned to the main flow of business change, with cross-functional skills mix and the ability to deliver significant increments without waiting on another team. Platform team: a team that works on the underlying platform supporting stream-aligned teams in delivery. The platform simplifies otherwise complex technology and reduces cognitive load for teams that use it. Enabling team: a team that assists other teams in adopting and modifying software as part of a transition or learning period. Complicated-Subsystem Team: a team with a special remit for a subsystem that is too complicated to be dealt with by a normal stream-aligned team or platform team. Optional and only used when really necessary. Conway’s law: “Organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” Cognitive load: “The total amount of mental effort being used in the working memory.” Restrict team responsibilities to match the maximum team cognitive load. • Intrinsic cognitive load – relates to aspects of the task fundamental to the problem space • Extraneous cognitive load – relates to the environment in which the task is being done • Germane cognitive load – relates to aspects of the task that need special attention for learning or high performance Scaling teams: Organizational groupings should follow Dunbar’s number, beginning with around 5- 8 people, then increasing to around 15 people, then 50, then 150, then 500, and so on. Brook’s law: “Adding new people to a team doesn’t immediately increase its capacity.: Live Rapid feedback Team first approach: start with the team for effective software delivery. There are multiple aspects to consider and nurture: team size, team lifespan, team relationships, and team cognition. Organizational sensing: expect to adapt and evolve your organization structure. ίϯ΢ΣΠͷ๏ଇ: “γεςϜΛઃܭ͢Δ૊৫͸… ͦͷ ૊৫ͷίϛϡχέʔγϣϯߏ଄Λίϐʔͨ͠ߏ଄ͷઃ ܭΛੜΈग़͢͜ͱʹͳΔ” νʔϜϑΝʔετͷऔΓ૊Έ: ιϑτ΢ΣΞσϦόϦʔͷ ޮՌΛߴΊΔͨΊͷνʔϜ͔Β࢝ΊΔɻצҊ͢΂͖؍఺͸ ෳ਺͋Δ: νʔϜαΠζɺଘଓظؒɺؔ܎ੑɺೝ஌ෛՙ ૊৫తηϯγϯά(Organizational Sensing): ૊৫ߏ଄ΛదԠɾൃలͤ͞ Δ͜ͱΛ໨࿦Ή νʔϜͷεέʔϧ: ૊৫ߏ଄ͷάϧʔϐϯά͸μϯόʔ਺ʹै ͏ɻ·ͣ͸5-8໊͔Β࢝ΊΔɻ࣍ʹ15໊ఔ౓ɺͦΕ͔Β50 ໊ɺ150໊ɺ500໊ɺͱ͢Δ ϒϧοΫεͷ๏ଇ: “ਓһΛ௥Ճͯ͠΋ɺνʔϜͷΩϟύγςΟ͸ ͙͢ʹ૿Ճ͢ΔΘ͚Ͱ͸ͳ͍” ετϦʔϜΞϥΠϯυνʔϜ: Ϗδ ωεతมߋͷओཁͳʮྲྀΕ(Flow)ʯ ʹ޲͚ͯฤ੒͞ΕΔνʔϜɻ৬ೳ ԣஅεΩϧͷ༥߹ମͰ͋ΔͨΊɺ ଞνʔϜͷ࡞ۀΛ଴ͭ͜ͱͳ͘ҙ ٛͷ͋ΔΠϯΫϦϝϯτΛσϦό ϦʔͰ͖Δೳྗ͕උΘ͍ͬͯΔ ϓϥοτϑΥʔϜνʔϜ: ετϦʔϜΞϥΠϯυ νʔϜͷσϦόϦʔΛαϙʔτ͢Δج൫ͱͳΔϓ ϥοτϑΥʔϜΛ࢓ࣄͷྖҬͱ͢ΔνʔϜɻϓϥο τϑΥʔϜ͸ෳࡶͳٕज़Λγϯϓϧʹ͢Δ͜ͱͰɺ ͦΕΛར༻͢ΔνʔϜͷೝ஌ෛՙΛܰݮ͢Δ ίϯϓϦέΠςΟουɾαϒγεςϜνʔϜ: ෳ ࡶ͗ͯ͢௨ৗͷετϦʔϜΞϥΠϯυνʔϜ΍ϓ ϥοτϑΥʔϜνʔϜͰ͸ରॲͰ͖ͳ͍αϒγε ςϜʹಛԽͯ͠औΓ૊ΉνʔϜɻຊ౰ʹඞཁͳ৔ ߹ɺͦΕ͕࠷ળͰ͋Δ৔߹ʹͷΈฤ੒͞ΕΔ ΠωΠϒϦϯάνʔϜ: Ҡߦ΍ֶशظؒͷҰ؀ͱ ͯ͠ɺଞͷνʔϜ͕ιϑτ΢ΣΞΛ࠾༻͢Δ͜ͱ΍ มߋ͢Δ͜ͱΛΞγετ͢ΔνʔϜ ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ຊ൪ ਝ଎ͳ ϑΟʔυόοΫ νʔϜτϙϩδʔͷൃల ൃݟ ཱ֬ ར༻ ೝ஌ෛՙ: “ϫʔΩϯάϝϞϦʹׂΓ౰ͯΒΕΔϝϯλϧ ΤϑΥʔτͷ૯ྔ”ɻνʔϜͷ੹຿͸νʔϜͷೝ஌ෛՙͷ ্ݶ੍͕໿ͱͳΔɻ ɾ಺ࡏੑ(intrinsic)ೝ஌ෛՙ ʔ ໰୊ྖҬͷຊ࣭ʹؔ࿈͢Δ λεΫʹ·ͭΘΔෛՙ ɾ֎ࡏੑ(extraneous)ೝ஌ෛՙ ʔ औΓ૊ΉλεΫͷ؀ڥ ʹ·ͭΘΔෛՙ ɾద੾ͳ(germane)ೝ஌ෛՙ ʔ ֶश΍ϋΠύϑΥʔϚϯ εΛൃش͢ΔͨΊʹऔΓΘ͚஫ҙྗΛཁ͢ΔλεΫʹ·ͭ ΘΔෛՙ جૅͱͳΔνʔϜτϙϩδʔ(4छྨ)ͷؒͷΠϯ λϥΫγϣϯϞʔυ: ίϥϘϨʔγϣϯ: ଞͷνʔϜͱີ઀ʹ࿈ܞ͢ Δ X-as-a Servie: ࠷খݶͷίϥϘϨʔγϣϯͰ ʮԿ͔ʯΛఏڙ/ར༻͢Δ ϑΝγϦςΠςΟϯά: ๦֐෺ΛऔΓআͨ͘Ί ʹଞͷνʔϜΛԉॿ͢Δ(ԉॿ͞ΕΔ) νʔϜ τϙϩδʔ Quick Reference Card Japanese translation by @kakutani, Oct 2021 - v1.0.1

4DSVN!4DBMFͷղઆ

4DSVN!4DBMFͱ͸ʁ w εΫϥϜͷڞಉߟҊऀͷਓͰ͋Δ+F ff 4VUIFSMBOEത࢜Λத৺ʹཱ֬ w ෳ਺ͷεΫϥϜνʔϜʹΑΔϑϥΫλϧߏ଄ w ࣮༻࠷খݶͷ׭྅ػߏ w )PXͱ8IBUͦΕͧΕͷऔΓ૊Έ͕ఆٛ͞Ε͍ͯΔʢεΫϥϜϚελʔαΠΫ ϧͱϓϩμΫτΦʔφʔαΠΫϧʣ w ݸਓతʹ͸ϓϩμΫτΦʔφʔͷ׆ಈʹ͍ͭͯͷఆ͕ٛ͋Δͷ͕ؾʹೖ͍ͬͯ ·͢

No content

εΫϥϜϚελʔαΠΫϧ

εΫϥϜϚελʔαΠΫϧ w νʔϜϓϩηε w ϝτϦΫεͱಁ໌ੑ w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ w ܧଓతվળͱো֐ͷআڈ w νʔϜԣஅͷௐ੔ w σϦόϦʔ w ΤάθΫςΟϒΞΫγϣϯνʔϜ

ϓϩμΫτΦʔφʔαΠΫϧ

ϓϩμΫτΦʔφʔαΠΫϧ w νʔϜϓϩηε w ϝτϦΫεͱಁ໌ੑ w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ w ઓུతϏδϣϯ w όοΫϩάͷ༏ઌॱҐ෇͚ w όοΫϩάͷ෼ׂͱϦϑΝΠϯϝϯτ w ϦϦʔεϓϥϯχϯά w ΤάθΫςΟϒϝλεΫϥϜ

྆αΠΫϧڞ௨

ϓϩμΫτΠϯΫϦϝϯτ

4DSVN!4DBMFͷͷίϯϙʔωϯτ ຊࢿྉͰ͸͜ͷத͔Βཁ఺Λൈਮͯ͠આ໌͠·͢ ֤ίϯϙʔωϯτͷৄࡉ͸4DSVN!4DBMFΨΠυΛࢀর͍ͯͩ͘͠͞ɻ IUUQTTDSVNJODKQTDSVNBUTDBMFHVJEF

εΫϥϜϚελʔαΠΫϧ

εΫϥϜϚελʔαΠΫϧ w νʔϜϓϩηε w ϝτϦΫεͱಁ໌ੑ w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ w ܧଓతվળͱো֐ͷআڈ w νʔϜԣஅͷௐ੔ w σϦόϦʔ w ΤάθΫςΟϒΞΫγϣϯνʔϜ

νʔϜϓϩηε

νʔϜϓϩηε w εΫϥϜΨΠυͰنఆ͞Ε͍ͯΔεΫϥϜΛߦ͏͜ͱ w εΫϥϜϚελʔαΠΫϧͱϓϩμΫτΦʔφʔαΠΫϧͷ࠷ॳͷަࠩ఺ w νʔϜϓϩηεͷΰʔϧ w ׬੒ͷఆٛΛຬͨ͢࡞ۀͷϑϩʔΛ࠷େԽ͢Δ w νʔϜͷύϑΥʔϚϯεΛ࣌ؒͷܦաͱͱ΋ʹ޲্ͤ͞Δ w ࣋ଓՄೳͰɺνʔϜΛΑΓ๛͔ʹ͢Δํ๏ͰӡӦ͢Δ w ސ٬ϑΟʔυόοΫϧʔϓΛՃ଎ͤ͞Δ

εΫϥϜνʔϜͷεέʔϧ

εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ

εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ 4DSVNPG4DSVN 
 4P4

εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ 4DSVNPG4DSVNPG 4DSVN 
 4P4P4

4DSVNPG4DSVN 4P4 w ֤εΫϥϜνʔϜΛ઀ଓ͢ΔόʔνϟϧͳνʔϜ w ͭͷ4P4͸dνʔϜ·Ͱ͕࠷దͳ਺ w ֤νʔϜ͔Βͷ୅දऀ͕ू·ΓɺεΫϥϜΠϕϯτΛ࣮ࢪ͍ͯ͘͠ w εέʔϧυσΠϦʔεΫϥϜ 4%4 w εέʔϧυϨτϩεϖΫςΟϒ w 4P4ͷεΫϥϜϚελʔ͸εΫϥϜΦϒεΫϥϜϚελʔͱݺͿ

4DSVNPG4DSVNPG4DSVN 4P4P4 w ֤4P4νʔϜΛ઀ଓ͢ΔόʔνϟϧͳνʔϜ w ͭͷ4P4P4͸d4P4νʔϜ·Ͱ͕࠷దͳ਺ w ֤νʔϜ͔Βͷ୅දऀ͕ू·ΓɺεΫϥϜΠϕϯτΛ࣮ࢪ͍ͯ͘͠ w εέʔϧυσΠϦʔεΫϥϜ 4%4 w εέʔϧυϨτϩεϖΫςΟϒ

εΫϥϜνʔϜͷεέʔϧ ϑϥΫλϧ 4P44P4P44P4P4P4ͱ ཧ۶ͷ͏͑Ͱ͸ແݶʹεέʔϧͤ͞ΒΕΔʜ

&YFDVUJWF"DUJPO5FBN 
 &"5

&YFDVUJWF"DUJPO5FBN &"5

&YFDVUJWF"DUJPO5FBN &"5 w εΫϥϜϚελʔαΠΫϧʹ͓͚Δ࠷্Ґͷܾఆػؔ w εΫϥϜΦϒεΫϥϜͰ͸औΓআ͚ͳ͍ো֐ΛऔΓআͨ͘ΊʹඞཁͳݖݶΛ΋ͬͨ ϝϯόʔ͕ࢀը͢Δඞཁ͕͋Δ w $&0 $50 ਓࣄͷ੹೚ऀ ܾࡋݖऀͳͲ w ϝϯόʔͷબఆ৚݅͸ɺʮϓϩμΫτͷ࠷ऴతͳ͢΂ͯΛ&"5ͰղܾͰ͖Δ͜ͱʯ w &"5ͷू·ΓͰʮ͋ɻͦΕ͸˓˓͞Μʹฉ͔ͳ͍ͱʯͱͳΕ͹ɺ˓˓͞ΜΜΛ &"5ʹೖΕΔ΂͖ w ΤάθΫςΟϒͳϝϯόʔΛεΫϥϜͷϑϩʔͷதʹ૊ΈࠐΉ

&YFDVUJWF"DUJPO5FBN &"5 &YFDVUJWF"DUJPO5FBN 
 &"5 νʔϜن໛ʹΑͬͯ͸ ͕͜͜&"5ʹͳ͍ͬͯͯ΋ྑ͍

εέʔϧԽ͞ΕͨεΫϥϜͷ৘ใͷྲྀΕͷྫ w ֤νʔϜͷσΠϦʔεΫϥϜ w 4P4ͷσΠϦʔεΫϥϜ w &"5ͷσΠϦʔεΫϥϜ ֤νʔϜ͔Βͷ՝୊͕ɺຖ೔෼ͱ͍͏୹͍࣌ؒͰ࠷্Ґͷҙࢥܾఆऀ·Ͱಧ͘ ͜͜Ͱ&"5͕՝୊ͷղܾΛઌૹΓͯ͠͠·͏ͱɺ&"5͕࢓ࣄͷϑϩʔͷϘτϧωοΫʹͳͬͯ͠· ͏ͷͰɺ&"5ʹ͸՝୊ղܾΛૉૣ͘ߦ͑ΔݖݶΛ΋ͬͨਓ͕͍Δඞཁ͕͋Δɻ

ϓϩμΫτΦʔφʔαΠΫϧ

ϓϩμΫτΦʔφʔαΠΫϧ w νʔϜϓϩηε w ϝτϦΫεͱಁ໌ੑ w ϓϩμΫτϦϦʔεͱϑΟʔυόοΫαΠΫϧ w ઓུతϏδϣϯ w όοΫϩάͷ༏ઌॱҐ෇͚ w όοΫϩάͷ෼ׂͱϦϑΝΠϯϝϯτ w ϦϦʔεϓϥϯχϯά w ΤάθΫςΟϒϝλεΫϥϜ

ϓϩμΫτΦʔφʔͷεέʔϧ

ϓϩμΫτΦʔφʔͷεέʔϧ ֤νʔϜʹ10͕͍Δ 
 ͭ·Γ10ಉ࢜ͷ ࿈ܞ͕ඞཁʹͳΔ

νʔϑϓϩμΫτΦʔφʔ $10 w ϓϩμΫτΦʔφʔνʔϜͱҰॹʹ༏ઌॱҐΛௐ੔͢Δ w $10͸ɺ͜ͷ໾ׂΛ݉೚͢ΔݸผνʔϜͷϓϩμΫτΦʔφʔͰ͋Δ৔߹΋ ͋Ε͹ɺ͜ͷ໾ׂʹઐ೚ͨ͠ݸਓͷ৔߹΋͋Δ w ϓϩμΫτશମͷઓུతϏδϣϯΛઃఆ͢Δ w શνʔϜʹ഑෍͞ΕΔɺ༏ઌॱҐ෇͚͞Εͨ୯ҰͷόοΫϩάΛ࡞੒͢Δ w ϓϩμΫτΦʔφʔνʔϜ͕ଌఆ͢ΔϝτϦΫεΛܾఆ͢Δ w ސ٬͔ΒͷϓϩμΫτͷϑΟʔυόοΫΛධՁ͠ɺͦΕʹԠͯ͡ڞ௨όοΫϩ άΛௐ੔͢Δ

&YFDVUJWF.FUB4DSVN &.4

&YFDVUJWF.FUB4DSVN &.4 w ΞδϟΠϧ૊৫શମʹରͯ͠ϓϩμΫτΦʔφʔͷ໾ׂΛՌͨͨ͢Ίʹɺ$10 ͸ɺ&.4ΠϕϯτͰΤάθΫςΟϒ΍ओཁͳεςʔΫϗϧμʔͱձ߹͢Δɻ w ϓϩμΫτΦʔφʔαΠΫϧͷҎԼͷίϯϙʔωϯτͷཁٻΛຬͨͨ͢Ίʹ׆ ಈ͢Δ w ઓུతϏδϣϯ w όοΫϩάͷ༏ઌॱҐ෇͚ w όοΫϩάͷ෼ׂͱϦϑΝΠϯϝϯτ w ϦϦʔεϓϥϯχϯά

&"5ͱ&.4ʹΑΓ ʮ࣮༻࠷খݶͷ׭྅ػߏʯ Λ࣮ݱ͢Δ

૊৫ͷϦϑΝΫλϦϯά

ී௨͸૊৫͸͜Μͳʹ͖Ε͍ ͳϑϥΫλϧʹ͸ͳΒͳ͍

૊৫σβΠϯͷྫ

૊৫σβΠϯͷྫ

૊৫ͷϦϑΝΫλϦϯά w ࣄۀ΍ɺϓϩμΫτͷঢ়گʹԠͯ͡૊৫͸దٓϦϑΝΫλϦϯά͞Ε͍ͨ w ਓΛಈ͔͢ͷ͸ίετ͕͔͔Δ w ݸਓͷҟಈ w νʔϜͷߏ੒ϝϯόʔͷେ෯ͳมߋ w ˢ͜ΕΒ͸΍ΓͮΒ͍

૊৫σβΠϯͷྫ ୯Ұͷ ʮී௨ͷεΫϥϜνʔϜʯ ͕4P4΍.4ʹΑͬͯͭͳ͕ͬ ͍ͯΔ

૊৫ͷϦϑΝΫλϦϯά w 4DSVN!4DBMFͰ͸4P4΍.4ͱ͍ͬͨόʔνϟϧͳνʔϜʹΑ֤ͬͯνʔ Ϝ͕઀ଓ͢Δ w ୯ҰͷεΫϥϜνʔϜͷߏ੒ϝϯόʔ͸ಈ͔͞ͳͯ͘ྑ͍ w 4P4ͳͲͷ૊Έ߹ΘͤΛௐ੔͢Δ͜ͱͰɺ֤νʔϜͷ઀఺Λௐ੔͍ͯ͘͠ w ʰνʔϜτϙϩδʔʱͳͲΛࢀߟʹ͢Δͱྑ͍ͱࢥ͍·͢

QRC Team Topologies Based on Team Topologies, QRC by Henny Portman, May 2020 Stream-Aligned Team Enabling Team Platform team Stream-Aligned Team Complicated- Subsystem Team Interaction mode: X-as-a-Service Interaction mode: X-as-a-Service Interaction mode: Facilitating Interaction mode: Collaborating Primary interaction modes for the 4 fundamental team topologies: Collaboration: working closely together with another team X-as-a Service: consuming or providing something with minimal collaboration Facilitating: helping (or being helped by) another team to clear impediments Evolution of team topologies Discover Establish Use Stream-Aligned Team: a team aligned to the main flow of business change, with cross-functional skills mix and the ability to deliver significant increments without waiting on another team. Platform team: a team that works on the underlying platform supporting stream-aligned teams in delivery. The platform simplifies otherwise complex technology and reduces cognitive load for teams that use it. Enabling team: a team that assists other teams in adopting and modifying software as part of a transition or learning period. Complicated-Subsystem Team: a team with a special remit for a subsystem that is too complicated to be dealt with by a normal stream-aligned team or platform team. Optional and only used when really necessary. Conway’s law: “Organizations which design systems … are constrained to produce designs which are copies of the communication structures of these organizations.” Cognitive load: “The total amount of mental effort being used in the working memory.” Restrict team responsibilities to match the maximum team cognitive load. • Intrinsic cognitive load – relates to aspects of the task fundamental to the problem space • Extraneous cognitive load – relates to the environment in which the task is being done • Germane cognitive load – relates to aspects of the task that need special attention for learning or high performance Scaling teams: Organizational groupings should follow Dunbar’s number, beginning with around 5- 8 people, then increasing to around 15 people, then 50, then 150, then 500, and so on. Brook’s law: “Adding new people to a team doesn’t immediately increase its capacity.: Live Rapid feedback Team first approach: start with the team for effective software delivery. There are multiple aspects to consider and nurture: team size, team lifespan, team relationships, and team cognition. Organizational sensing: expect to adapt and evolve your organization structure. ίϯ΢ΣΠͷ๏ଇ: “γεςϜΛઃܭ͢Δ૊৫͸… ͦͷ ૊৫ͷίϛϡχέʔγϣϯߏ଄Λίϐʔͨ͠ߏ଄ͷઃ ܭΛੜΈग़͢͜ͱʹͳΔ” νʔϜϑΝʔετͷऔΓ૊Έ: ιϑτ΢ΣΞσϦόϦʔͷ ޮՌΛߴΊΔͨΊͷνʔϜ͔Β࢝ΊΔɻצҊ͢΂͖؍఺͸ ෳ਺͋Δ: νʔϜαΠζɺଘଓظؒɺؔ܎ੑɺೝ஌ෛՙ ૊৫తηϯγϯά(Organizational Sensing): ૊৫ߏ଄ΛదԠɾൃలͤ͞ Δ͜ͱΛ໨࿦Ή νʔϜͷεέʔϧ: ૊৫ߏ଄ͷάϧʔϐϯά͸μϯόʔ਺ʹै ͏ɻ·ͣ͸5-8໊͔Β࢝ΊΔɻ࣍ʹ15໊ఔ౓ɺͦΕ͔Β50 ໊ɺ150໊ɺ500໊ɺͱ͢Δ ϒϧοΫεͷ๏ଇ: “ਓһΛ௥Ճͯ͠΋ɺνʔϜͷΩϟύγςΟ͸ ͙͢ʹ૿Ճ͢ΔΘ͚Ͱ͸ͳ͍” ετϦʔϜΞϥΠϯυνʔϜ: Ϗδ ωεతมߋͷओཁͳʮྲྀΕ(Flow)ʯ ʹ޲͚ͯฤ੒͞ΕΔνʔϜɻ৬ೳ ԣஅεΩϧͷ༥߹ମͰ͋ΔͨΊɺ ଞνʔϜͷ࡞ۀΛ଴ͭ͜ͱͳ͘ҙ ٛͷ͋ΔΠϯΫϦϝϯτΛσϦό ϦʔͰ͖Δೳྗ͕උΘ͍ͬͯΔ ϓϥοτϑΥʔϜνʔϜ: ετϦʔϜΞϥΠϯυ νʔϜͷσϦόϦʔΛαϙʔτ͢Δج൫ͱͳΔϓ ϥοτϑΥʔϜΛ࢓ࣄͷྖҬͱ͢ΔνʔϜɻϓϥο τϑΥʔϜ͸ෳࡶͳٕज़Λγϯϓϧʹ͢Δ͜ͱͰɺ ͦΕΛར༻͢ΔνʔϜͷೝ஌ෛՙΛܰݮ͢Δ ίϯϓϦέΠςΟουɾαϒγεςϜνʔϜ: ෳ ࡶ͗ͯ͢௨ৗͷετϦʔϜΞϥΠϯυνʔϜ΍ϓ ϥοτϑΥʔϜνʔϜͰ͸ରॲͰ͖ͳ͍αϒγε ςϜʹಛԽͯ͠औΓ૊ΉνʔϜɻຊ౰ʹඞཁͳ৔ ߹ɺͦΕ͕࠷ળͰ͋Δ৔߹ʹͷΈฤ੒͞ΕΔ ΠωΠϒϦϯάνʔϜ: Ҡߦ΍ֶशظؒͷҰ؀ͱ ͯ͠ɺଞͷνʔϜ͕ιϑτ΢ΣΞΛ࠾༻͢Δ͜ͱ΍ มߋ͢Δ͜ͱΛΞγετ͢ΔνʔϜ ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ΠϯλϥΫγϣϯϞʔυ: ຊ൪ ਝ଎ͳ ϑΟʔυόοΫ νʔϜτϙϩδʔͷൃల ൃݟ ཱ֬ ར༻ ೝ஌ෛՙ: “ϫʔΩϯάϝϞϦʹׂΓ౰ͯΒΕΔϝϯλϧ ΤϑΥʔτͷ૯ྔ”ɻνʔϜͷ੹຿͸νʔϜͷೝ஌ෛՙͷ ্ݶ੍͕໿ͱͳΔɻ ɾ಺ࡏੑ(intrinsic)ೝ஌ෛՙ ʔ ໰୊ྖҬͷຊ࣭ʹؔ࿈͢Δ λεΫʹ·ͭΘΔෛՙ ɾ֎ࡏੑ(extraneous)ೝ஌ෛՙ ʔ औΓ૊ΉλεΫͷ؀ڥ ʹ·ͭΘΔෛՙ ɾద੾ͳ(germane)ೝ஌ෛՙ ʔ ֶश΍ϋΠύϑΥʔϚϯ εΛൃش͢ΔͨΊʹऔΓΘ͚஫ҙྗΛཁ͢ΔλεΫʹ·ͭ ΘΔෛՙ جૅͱͳΔνʔϜτϙϩδʔ(4छྨ)ͷؒͷΠϯ λϥΫγϣϯϞʔυ: ίϥϘϨʔγϣϯ: ଞͷνʔϜͱີ઀ʹ࿈ܞ͢ Δ X-as-a Servie: ࠷খݶͷίϥϘϨʔγϣϯͰ ʮԿ͔ʯΛఏڙ/ར༻͢Δ ϑΝγϦςΠςΟϯά: ๦֐෺ΛऔΓআͨ͘Ί ʹଞͷνʔϜΛԉॿ͢Δ(ԉॿ͞ΕΔ) νʔϜ τϙϩδʔ Quick Reference Card Japanese translation by @kakutani, Oct 2021 - v1.0.1 IUUQTTDSBQCPYJPJLJJLJ23$@5FBN@5PQPMPHJFTKB

No content

ετϦʔϜ ΞϥΠϯυνʔϜ

ϓϥοτϑΥʔϜνʔϜ ଞͷνʔϜͱ 9BTB4FSWJDF ετϦʔϜ ΞϥΠϯυνʔϜ

ϓϥοτϑΥʔϜνʔϜ ଞͷνʔϜͱ 9BTB4FSWJDF ετϦʔϜ ΞϥΠϯυνʔϜ ίϯϓϦέΠςου αϒγεςϜ νʔϜ

ϓϥοτϑΥʔϜνʔϜ ଞͷνʔϜͱ 9BTB4FSWJDF ετϦʔϜ ΞϥΠϯυνʔϜ ίϯϓϦέΠςου αϒγεςϜ νʔϜ ΠωΠϒϦϯά νʔϜ 
 ඞཁͰ͋Ε͹εΫϥϜνʔϜͷ ಺ଆʹ͕ͬͭΓೖΓࠐΉ

͍ͪͱΆͱ4!4·ͱΊ w νʔϜͷ෼ׂ͸ೝ஌ෛՙɺίϯ΢ΣΠͷ๏ଇɺઅཧ໘ͳͲΛ͕͔ͯΓʹ w ؔ৺ࣄͷ͍ۙετʔϦʔϜΞϥΠϯυνʔϜ΍ɺίϯϓϦέΠςουαϒγε ςϜνʔϜͳͲΛಉ͡4P4ʹ૊ΈೖΕΔ w ίϥϘϨʔγϣϯɺϑΝγϦςʔγϣϯ w ؔ৺ࣄͷԕ͍νʔϜɺ9BTB4FSWJDFͰΠϯλϥΫγϣϯ͢ΔνʔϜ͸ 4P4͔Β཭ͯ͠ྑ͍

$IBUXPSLͰ͸

ࣾ಺ಡॻձΛ։࠵

νʔϜτϙϩδʔಡॻձ w ຖि݄༵೔ʹ࣌ؒ w ࣄલ४උ΍ಡΈࠐΈ͸ෆཁ w લ൒෼ಡॻλΠϜޙ൒෼σΟεΧογϣϯλΠϜ w લ൒ͷಡॻλΠϜͰؾʹͳΔϙΠϯτΛ.JSP΁ɻޙ൒͸ͦΕΛ͕͔ͯΓʹٞ ࿦ w ճͷ༷ࢠ͸࿥ը͓͖ͯ͠ɺ్தͰٳΜͰ΋෮ؼՄೳ

No content

νʔϜτϙϩδʔಡॻձ w ಡॻձͷ࠷ऴճͰ͸ɺطଘͷ૊৫ͷ"T*Tͱ5P#FΛ͍ͪͱΆͷݴ༿Λ͔ͭͬ ͯղऍͯ͠ΈΔϫʔΫγϣοϓ

No content

νʔϜτϙϩδʔಡॻձ ײ૝ w ʰνʔϜτϙϩδʔʱͷͭͷνʔϜλΠϓ ͭͷΠϯλϥΫγϣϯϞʔυ ͕ొ৔͢Δ w ͜ΕΒͷʮ༻ޠʯʹ͍͍͍ͭͯͪͪઆ໌͠ͳ͕Β૊৫σβΠϯͷઆ໌Λಉ྅ ʹͨ͘͠ͳ͍ w ϝϯόʔಉ͕࢜ಉ͡ʮݴ༿ʯΛ࢖ͬͯ࿩ͤΔͷͰɺ࿩͕ૣ͍

͍ͪͱΆͱεΫϥϜ ্खʹ૊Έ߹Θͤͯ ಇ͖΍͍͢૊৫Λͭ͘Ζ͏