[zh-TW] DevOpsDays Taipei 2025 -- Creating Awesome Change in SmartNews!(machine translation)

by Ikuo Suyama

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2025年6݄6೔ ࡏ SmartNews ૑଄ʮ௒๮తվᏓʯʂ ಛ຿෦ୂʮACTʯ௅ፌతࣄނݮ൒࡞ፌ Machine Translated by Google

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· 2020 年 11 ݄~ SmartNews, Inc. · ‧ ࢿਂ޻ఔࢣ‧ ኍࠂޙ୺ሢՈ · ڵझɿ௼ڕɺ࿐ᅎɺ߯ී፮ɺಈອ զੋ୭ʁ Ikuo Suyama / ಃࢁҭஉ Machine Translated by Google

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༻㖽܈ഉ໊ ୈҰత೔ຊ࠷େ৽ฉጯ༻ఔࣜ ᮫ԙSmartNewsɿ ೔ຊ࠷େత৽૑ެ࢘೭Ұ ࢖໋ɿ “ሡશٿ༏࣭㘤ଉၚᬇڅधཁతਓɻ” Machine Translated by Google

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4 ࠓఱɼ զཁஊతੋ ⋯ Machine Translated by Google ࣄނʂ

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㟬來౸㭎ެࣨɼ ࿝䷩㘸ɿ ⋯ 從哪裡開始呢？ Ṝबੋզ၇ࠓఱཁ࿨㟬Ұى୳ࡧతཱྀఔ 5 ੥༰ڐզ੥㟬ࢥߟҰԼ ⋯ Machine Translated by Google “޷㠧 ኺࠓఱ։࢝ɼ㟬త޻࡞बੋݮগࣄނɻ”

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੥هॅ 1.ኺݱመੈքతফ๷޻࡞த἞औៃᱛڭ܇ 2. ሡࣄނᏐᎦ᫚Խҝ行動 3.ࡏશެ࢘ൣᅴ㚎ਪ行౷Ұྲྀఔ զࠓఱཁߨత㚎༰ ࣄނಛผ޻࡞૊త࿡ݸཱྀ݄ఔ 6 Machine Translated by Google ໔੹ᡎ໌1ɿ ᄸҰҊྫݚڀʢN = 1ʣʀݚڀ݁Ռᢛ۩ᱪ৘گ૬᮫

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7 զ 不會ʢ 不能ʣ ஊ࿦తࣄ৘ 1. ੔߹Dev & Ops ⋯ Dev ቮៃ႔理ྃOps + ࣄނ ໔੹ᡎ໌2ɿ զ不ੋሢۀత SRE ҃ DevOps ሢՈʂ Machine Translated by Google 2. ጯ༻ SRE/DevOps࠷Ղመ຿ ⋯ ኺݱ৔ላ౸తៃᱛڭ܇

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ٞఔ ୈҰ֊ஈɿू݁ʂಛݣ෦ୂ“ACT”ʂ ୈೋ֊ஈɿޱᥒ“਌ࣗಈखʂ” ୈࡾ֊ஈɿݮ൒ࣄނʂ ʁ ୈ࢛֊ஈɿႫԼతࣄ৘ҎٴԼҰ㑊ܭ֢ Machine Translated by Google

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01 ୈҰ֊ஈɿ ू݁ʂಛݣ෦ୂ“ACT”ʂ Machine Translated by Google

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௒๮తվᏓᅶୂ “ACT”ʂ ट੮ٕज़௕ ଠଟࣄނྃʂ ೺ሏ၇੾੒兩൒ɻ ᩋզ၇ݐཱҰݸ޻࡞খ૊ʂ 1 ‑ 1. ։࢝ ṜҰ੾౎࢝ԙ۝݄ ⋯ 10 Machine Translated by Google The Awesome Change Team CTO

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⋯ ⋯ 可能是因為您強迫我們發布 େ量更改䆩？ 11 1 ‑ 1. ։࢝ զɿ Machine Translated by Google

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⋯ ⋯ 可能是因為您強迫我們發布 େ量更改䆩？ 12 1 ‑ 1. ։࢝ զɿ Machine Translated by Google ౳ҰԼʂ

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1 ‑ 1. ։࢝ ୽ޡʂ ेࡾ · CTOɿࣄނਅతᚙੜಘಹኄසൟ䆩ʁ · ‧ ʮ኷ଟʯࣄނ֘೗Կఆٛʁ · Ikuoɿզ၇ਅతཁ၏ಹኄଟվᏓ䆩ʁ · վᏓਅతੋṜࠣࣄނతࠜຊݪҼ䆩ʁ ‧ զ၇ஊ࿦తੋ䬟ҰछվᏓʁ Machine Translated by Google बṜҰᴍࣕݴɼҰ੾౎୞ੋ௚᧷࿨ᘃଌɻ ʢု؅զቮៃ஌ಓߴڃ޻ఔࢣతහ㕔ᄿ᧷ੋ不Մ௿ဟతɻʣ

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1 ‑ 2.૊ݐ࠷ڧᅶୂ্ࣗࣕԼሢҊత༏੎ɿ 14 ṜੋҰݸ༝ CTO ্ࣗࣕԼత߲໨ ظݶ࿡ݸ݄ɼ૊੒ʮ࠷ڧፌୂʯ ҝटཁ೚຿ʂ Machine Translated by Google

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֩৺ܥ౷ ʢԼจʣ 15 ഉ行 ஐܛࢹᅷ ʢจষʣ Ҡಈత ኍࠂ 1 ‑ 2.૊੒࠷ڧୂޔզ၇ኺ㑌ݸ෦໳টืશ໌੕ ⋯ 㘤ଉ ਪ೻௨஌ Machine Translated by Google

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ഉ行 ኍࠂ 16 *ҝྃṜݸނࣄɼզ᜝ࣗݾҝ“શ໌੕” ኍࠂ Ikuoʂ Ҡಈత 㘤ଉ ஐܛࢹᅷ ʢจষʣ 1 ‑ 2.૊੒࠷ڧୂޔզ၇ኺ㑌ݸ෦໳টืશ໌੕ ⋯ ৽ฉᢛਪ೻ Ҡಈ Mʂ ਪ೻௨஌Dʂ ஐܛࢹᅷ Tʂ ഉ໊Rʂ ֩৺ܥ౷Tʂ ट੮ٕज़௕ VPoE Kʂ (ओ؅) ใࠂڅ ֩৺ܥ౷ ʢԼจʣ Machine Translated by Google

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ኺ㑌ݸᅶୂதநௐԦṛ, ද໌ྃެ࢘ሣࠑతॏࢹఔ౓ɻ ಉ࣌ ⋯ ⋯ զ၇ᔒ༗೚Կ᤻ޱɻ 17 “զ၇୞༗࿡ݸ݄త࣌ؒ來औಘ੒ޭ” ಹछᆫ力ੋਅመଘࡏతɻ 1 ‑ 2.૊੒࠷ڧୂޔ ༝্ࣕԼ߲໨త᠍ᴍ Machine Translated by Google

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“ݮগࣄނᚙੜɻ” ᡒى來኷؆ᄸ ୠࣄመᨽ໌ɼ ṜੋҰݸڊେత໰୊ྖҬɻ · զ၇ኺ䬟ཫ։࢝䏆ʁ · ਅਖ਼త໰୊ੋ什ኄʁ什ኄํ๏ਅਖ਼༗㢨ॿʁ · ࣕ׌ ⋯ ਅత༗ಹኄଟҙ֎䆩 :)ʁ 18 1 ‑ 3. ࢦಋᅶୂ ղܾᔒ༗໌֬౴Ҋత໛ކ໰୊ Machine Translated by Google

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ఆٛʮڻਓతվᏓʯతਅਖ਼ҙٛʁ 1. ݮগ᮫伴ࣄނ 2. ࡏ૊৫தመ᪙ SRE త࠷Ղመ᪙ መ຿‧ ఆ᮫ٛ伴 KPI Ҏվળɿ · ฏۉނোִؒ࣌ؒ (MTBF) / Ꮣ更ނো཰ (CFR) · = ࣄނ࣍Ꮠ · ฏۉ伭෮࣌ؒ (MTTR) · = 伭෮࣌ؒ 1 ‑ 3. ࢦಋᅶୂઃఆ໌֬త໨ඪ 19 ʮզ၇ҝ什ኄࡏṜཫʁʯṜݸ໰୊Ꮣಘਗ਼᏷ى來 ײँզ၇ग़৭త VPoE Machine Translated by Google

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զ၇ݱࡏधཁ၏ॄኄʁ໌֬ྃʂ · P0ɿࢧԉਖ਼ࡏਐ行తࣄނ႔理 ‧ P1ɿคᛡະղܾత᮫伴行ಈ߲໨ ‧ P2ɿಁաम෮ࠜຊݪҼ來༬๷ࣄނ 20 1 ‑ 3. ࢦಋᅶୂ ઃఆ໌֬త༏ઌࣄ߲ Machine Translated by Google

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ୈೋ֊ஈɿޱᥒ Get Our Hands Dirty! “਌ࣗಈखʂ” 02 Machine Translated by Google

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· ਑ሣ㑌ݸࣄނݺڣʢPagerDuty ݺڣʣ Ұ໊ ACT ੒һ ‧ ሡ㑌ݸ ACT ੒һ፮ೖ㑌ݸଈ࣌ࣄނ ‧ ೗ՌՐࡂᚙੜࡏ䓟త໢Ҭதɼ੥ཱଈ๾໓Րࡂ ‧ ଈ࢖ෆࡏࣗݾ೚຿ൣᅴɼ໵ཁ႔ཧߋ৽ɼঋڃ࿨ۀ຿ߔ௨޻࡞ 22 ໺᦬ʂ ʂ ౤ೖ႔理㑌Ұى 2 ‑ 1. P0ɿࢧԉ࣋᠃ᚙੜతࣄނ႔ 理 ਌ࣗಈख ɹ ɹ ɹ ɹ ɹ ࣄނʂ Machine Translated by Google

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SRE ෛ੹႔理ॴ༗଴໋ࣄ຿ ଞ၇ݱࡏሡ੒ҝ“Pager Monkey ၚݺᘆࢠ”ɼ ଖ޻࡞ੋࡏ྇Ᏼ 2 ᴍ෰຿ग़ݱނো࣌҈র䳾ຊࣥ行ఠࣗ“੒ҝ SRE” ୈ 3 ষɿ SRE จԽ 23 2 ‑ 1. P0ɿࢧԉ࣋᠃ࣄނ႔ 理 ൓໛ࣜɿPager Monkey Ṝ㘺ሣੋݸᆦश׳ հೖ㑌Ұىࣄނฒ不ೳ્ࢭࣄނతᚙੜ ⋯ Machine Translated by Google

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զ၇᩸ಘྃڐଟ৴೚ʂ ᙛग़ݱຑ൥࣌ɼACT ब။ग़ݱɻ ACT ࡏࣄނᚙੜ࣌ҝզ၇ఏڙࢧ࣋ɻ ACT ׬੒೚຿ʂ ਓ၇։࢝ࢥߟɿࣄނ=ACTɻ 24 2 ‑ 1. P0ɿࢧԉࣄނ႔ 理 ṜੋҰछ൓໛ࣜ ⋯ ⋯ ୠฒඇશੋᆦࣄ Machine Translated by Google

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· զ၇༗ḤሜࣄނใࠂతจԽɻ · ਙࢸྻग़༬๷行ಈ߲໨ɻ - ڻਓతʂ · ୠṜࠣ෺඼ฒະඃ௥᪦ɻ · ᔒ༗डᩋਓɻᔒ༗ፊࢭ೔ظɻᔒ༗狀ଶɻ ⋯ 什ኄ？ ʁ · ׌㑌ݸ෦໳తใࠂ֨ࣜ౎不ಉ... ‧ ༗࣌ਙࢸҼਓࣕ異ɻ 2 ‑ 2. P1. คᛡະղܾత᮫伴行 ಈ߲໨ඃҨ๨త 行 ಈ߲໨ ೋेޒ Machine Translated by Google Ҽࠑɼߠఆ༗ࠣ୞ੋඃҨ๨ྃ － ҝ 什 ኄʁ

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ྻग़㑌݅Ҩ๨త෺඼ɼࡏථ຿ܥ౷த௥᪦ · Ꮕू㑌㟨ࣄނใࠂதతॴ༗行ಈ߲໨ · વޙࣗಈݐཱ Jira ථᨽɼᚙૹఏ੧ʂ · ୠੋ ⋯ ⋯ 㑌㟨ใࠂత֨ࣜ౎׬શ不ಉɻ ‧ ݱࡏዎኄ㭎ʁ 2 ‑ 2. P1. คᛡະղܾత᮫伴行 ಈ߲໨ ೋे࿡ ಹੋ不Մೳతɻ 㢨㢨զɼChatGPT ⋯ Machine Translated by Google

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2 ‑ 2. P1. คᛡະղܾత᮫伴行 ಈ߲໨ ೋेࣣ ਌ࣗಈखɿखಈ੔理ᏐᎦ 䬞ჵʂ զ၇खಈሡҰ年తࣄނ AI Ҡೖ Notion ࢿྉݿʂ *Ұ୴ሏ੒ҝࢿྉݿɼ䓟बՄҎಁա API ఏऔሏɻ؆ᄸ໛ࣜɻ Machine Translated by Google ៃᱛˌ1ɿ࢝ऴҎػثՄᩇత֨ࣜṶଘࢿྉʂ ڭ܇#2ɿ ೗Ռೳ׬੒೚຿ɼब不ཁ֐ዑ弄䨼自己的手。

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਌ࣗಈखɿคᛡҰ੾ະᰈ೭ࣄ Ṝؐᔒ׬ࣄʁ ʂ คᛡሏʂ ʂ 2 ‑ 2. P1. คᛡະղܾత᮫伴行 ಈ߲໨ ೋेീ Machine Translated by Google ڭ܇#3ɿਓ၇ฒ不ੋࠌࢹ޻࡞ᴷᴷଞ၇୞ੋଠ๩ྃɻ 弄䨼我們的手！

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· 嗯，因為 ⋯ · 㑌ݸ෦໳౎༗ࣗݾతࣄނ႔理ํࣜɻ · ‧ ೭લɼզ၇ঐࢼݐཱҰݸશެ࢘ൣᅴతڠఆʮIRFɿࣄނճ ጯᐽՍʯɻ · ୠੋ...ሏኺະਅਖ਼࢖༻ա · ҝ什ኄʁ ሏ୞൓өྃҰݸ෦໳తधٻɻ ೋे۝ ҝ 什 ኄզ၇ؐᔒ༗Ұݸ౷Ұతશެ࢘ྲྀఔʁ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ Machine Translated by Google

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զ၇೗Կݐཱશެ࢘ൣᅴతྲྀఔ࿨Սߏʁ · IRF ૊৫ྑ޷ ‧ ሡଖॏݐҝެ࢘ൣᅴత᫊量ڃᐽՍ ‧ ྖҬ“શ໌੕” రิۭྃന ‧ ඞਢอ᫊࣋量ڃ ୭။ࡏՐࡂظؒ㕕ᩇ௕Ἣେ࿦ʁ ‧ ኺެڞᐽՍத᤻༻ྃៃաᱛᨽత෦෼ · ྫ೗PagerDuty ࣄނճጯ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ ࡾे ฤ੍શެ࢘౷ҰᐽՍʂ Machine Translated by Google

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2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ IRF 2.0 㚎༰ 1. ֯৭ɺܶຊ 2. ᅡॏੑఆٛ 3. ޻࡞ྲྀఔ 4. ߔ௨ࢦೆ 5. ࣄނใࠂ໛൘ɼࣄޙ෼ੳ 31 ᩋզት㟬ྃղ᮫伴෦෼ ੥᜗ޙ查؃ݬ౯ยҎྃղৄࡉࢿ㘤ʂ Machine Translated by Google

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· 值班工程師 · 值班工程師。將警報分類，並在必要時回報 ICɼ啟ಈ IRFʢએ෍ࣄނʣɻ · ࣄނࢦش׭ʢIncident Commander: ICʣ · ྖಋࣄނճጯ޻࡞ɻௐूඞཁਓһฒ૊৫ࢿ㘤ɻ ໵ՄҎ፦೚ CLʢߔ௨ओ؅ʣɻ · ௨ৗੋٕज़ओ؅҃޻ఔៃ理ɻ · ଞ၇త৬੹不ੋ௚઀ղܾ໰୊ɼࣕੋ૊৫࿨၏ܾࡦɻ · ճጯऀ · ႔理መࡍ޻࡞ － ྫ೗ճᕧɺઃఆᏓ更౳ɻ · ߔ௨ओ؅ʢCommunication Lead: CLʣ · ႔理ᢛ֎෦ར֐᮫܎ਓʢଈඇ޻ఔࢣʣ తߔ௨ɻ IRF 2.0ɿ֯৭ɺܶຊ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ ࡾेೋ ᮫伴ᴍɿIC ࿨ճጯऀ೭ؒత৬੹෼཭ Machine Translated by Google

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IC ࡏએ෍ࣄނ࣌။၏ग़ॳ㑊తᅡॏఔ౓൑Ꮧɻ࠷ऴతᅡॏఔ౓ሡࡏࢡᒾաఔத֬ఆɻ · SEV ‑ 1 · ֩৺࢖༻ऀᱪᱛޭೳ׬શࣦഊʢྫ೗ɼ৽ฉ㕕ᩇᏓಘ不可用ʣ ‧ SEV ‑ 2 · ֩৺࢖༻ऀᱪᱛޭೳ෦෼ࣦഊɼ҃ࢠ࢖༻ऀᱪᱛޭೳ׬શࣦഊ · SEV ‑ 3 · ෦෼࢖༻ऀᱪᱛޭೳࣦഊ ုૣධဟᅡॏఔ౓ࢸ᮫ॏཁ － ᅡॏࣄނጯᚭշղܾ IRF 2.0ɿᅡॏੑఆٛ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ 33 Machine Translated by Google

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ࣄނኺ։࢝౸݁ଋతྲྀఔɻ = ग़݂狀ଶʢ࣋᠃Өڹʣ 1. ᚙੜ · ग़ݱ໰୊ɻৗ見తᨀᚙҼૉแׅ෦ॺ҃഑ஔᏓ更ɻ 2. ᒾଌ · 值班工程師透過警報偵測到問題。開始分類。 3. ᡎ໌ · ࣄނਖ਼ࣜએ෍ɻ IRF ࡏ IC తྖಋԼ։࢝ɻ֎෦ߔ௨҈ध։࢝ɻ ‧ ग़݂ظؒɼඞਢ࣋᠃ఏڙ更৽ࢿ㘤ɻ 4.؇ղ · ࢑࣌ফআݪҼʢྫ೗ճᕵʣ ฒఀࢭਐҰ㑊తӨڹɻ 5. ղܾํҊ‧ Ӭٱ म෮໰୊ʢྫ೗ɼम෮ࡨޡɺ更ਖ਼ࢿྉʣɻపఈࢭ݂ɻ 6. ࣄޙ෼ੳ‧ ࠜᎦ IRF 2.0ɿ޻࡞ྲྀఔ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ ࡾे࢛ Machine Translated by Google

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IRF 2.0ɿߔ௨ࢦೆ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ ࡾेޒ · #incident ‑ irf ‑ [incidentId] ‑ [ඪ୊] · ٕ҃ज़ߔ௨Ҏղܾ໰୊ɻ ‧ ॴ༗૬᮫౼࿦࿨ࢿ㘤౎ᏅूࡏṜཫɻ ఆٛߔ௨ጯ֘ࡏԿ႔ਐ行ʢSlack සಓʣɿ ‧ #incident ‧ ༻ԙ޲੔ݸެ࢘更৽狀ଶҎٴᢛ֎෦ߔ௨རӹ૬᮫ऀɻ Machine Translated by Google ሡॴ༗౼࿦࿨ࢿ㘤ूதࡏҰݸ஍ํɼ࢖ҎޙḤሜใࠂᏓಘ更Ճ༰易

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౷Ұతશެ࢘ൣຊแׅɿ ‧ ఠཁ ‧ Өڹ ‧ ௚઀ݪҼɺ؇ղાࢪ ‧ ࠜຊݪҼ෼ੳʢ5 ݸݪҼʣ ‧ ෼ผ෼ੳ௚઀ݪҼ࿨ࠜຊݪҼࢸ᮫ॏཁɻ ‧ࠜᎦࠜຊݪҼɼఆٛ行ಈ߲໨Ҏ๷ࢭ࠶࣍ᚙੜ ‧ ࣌ؒද ‧ ࢖༻ػثՄᩇత֨ࣜʂ ʂ ʂ ʂ IRF 2.0ɿࣄނใࠂൣຊ࿨ࣄޙ෼ੳ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ ࡾे࿡ զ၇ሣ֤෦໳త໛൘ਐ行ྃඪ४Խʢඇৗॏཁʂʣɼฒूதྃॴ༗ࣄޙ෼ੳɻ Machine Translated by Google

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ࡾेࣣ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ զ၇ݐ଄ྃሏ ୠզ၇೗Կᩋሏஶ཮ʁ ʮṜੋզ၇ྩਓڻ୰త IRF 2.0ɻ Ṝੋ׬ඒత ॴҎ୞ध㕕ᩇฒ९॥ Machine Translated by Google

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ࡾेࣣ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ զ၇ݐ଄ྃሏ ୠզ၇೗Կᩋሏஶ཮ʁ ʮṜੋզ၇ྩਓڻ୰త IRF 2.0ɻ Ṝੋ׬ඒత ॴҎ୞ध㕕ᩇฒ९॥ Machine Translated by Google 不！

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ࡾे۝ 2 ‑ 3. P2ɿࠜຊम෮/ਪग़౷Ұతࣄނճጯྲྀఔ ਌ࣗಈखɿਂೖ㑌Ұݸࣄނɼڧ力ጯ༻IRF2.0 Machine Translated by Google ڭ܇#4ɿࡏۓٸ৘گԼɼᔒ༗ਓ༗࣌ؒላश৽తڠٞɻ ୞ཁڈ၏ฒላशʂ ៃᱛˌ5ɿ ઌࣗݾ࢖༻ɼવޙݐཱճᰶ॥؀ʂ ʮ㟬޷ɼੋզɼIRF॑॑ɼ ޷తɼṜ࣍զ來፦೚ࣄނࢦش׭ʂ ଖଞਓɼूதਫ਼ਆٹՐʂ ʯ

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޻࡞኷౒力㠧ʁ ಹኄ ⋯ ⋯ ࣄނᏐ量ਅతݮগྃ䆩ʁ MTTR ዎኄᒬʁ 40 ग़৭஍ ⋯ զ 2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓Ұݸ᮫伴໰୊ 來 ࣗ ⋯ Machine Translated by Google ट੮ٕज़௕ CTO

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41 ղܾ㑌ݸ໰୊धཁଟ௕࣌ؒʁ Ұݸ᮫伴తೝࣝɿզ၇ᔒ༗௥᪦ KPIʂ 2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ Machine Translated by Google ੋతɼզ၏ྃ኷ଟʂୠੋ ⋯ Ṝݸ݄զ၇႔理ྃଟগىࣄނʁ ҃ऀ্ݸ݄ ⋯

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41 ղܾ㑌ݸ໰୊धཁଟ௕࣌ؒʁ Ұݸ᮫伴తೝࣝɿզ၇ᔒ༗௥᪦ KPIʂ 2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ Machine Translated by Google ੋతɼզ၏ྃ኷ଟʂୠੋ ⋯ Ṝݸ݄զ၇႔理ྃଟগىࣄނʁ ҃ऀ্ݸ݄ ⋯ 不知道！ ʂ

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ࢹ᧷Խ ᏐᎦ Ꮕ᤽ ઌ၏Ṝݸɼ࠶၏ಹݸɼવޙ߾ོོʂ 43 2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ ᩋզ၇؃؃ᏐᎦɿզ၇धཁ 什 ኄ Machine Translated by Google

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ᏐᎦ Ꮕ᤽ ࢹ᧷Խ ᏐᎦఆٛੋ᮫伴ʂ 2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ ᩋզ၇؃؃ᏐᎦɿզ၇धཁ 什 ኄ ࢛े࢛ Machine Translated by Google

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· ࣄނతሱੑ ‧ ඪ୊ ‧ 狀態 ‧狀態ػ ʢ զ၇ ᜗ ޙ ။ ౼ ࿦ ʣ ‧ ᅡॏੑ ‧ SEV 1~3ʢIRF2.0ʣ ‧௚઀ݪҼ ʢ ᜗ޙղᬶʣ ‧ ௚઀ݪҼ܎౷ ‧ ࡏඍ෰຿૚ڃఆٛత૊݅܈૊ ‧ ௚ ઀ ݪ Ҽ ޻ ࡞ ෛ ࡌ ‧ ઢ্෰຿ɺ཭ ઢ ؅ ಓ ⋯ 2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ࢿྉఆٛɿࣄނݐ໛ 45 ࢖༻ Enum ఆٛᚭՄೳଟత Fieldʂ ࣗ༝֨ࣜ༌ೖˠߴجᏐɼ෼ੳதᏗ Machine Translated by Google

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ࣄނᚙੜత௚઀ݪҼ ҎҰछՄ෼ੳɺՄૢ࡞తํࣜਐ行ఆٛ 2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓ࣄނݐ໛ɿ௚઀ݪҼ 46 Machine Translated by Google

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2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓ࣄނݐ໛ɿ 狀 ଶ －狀 ଶػ ࣄނ۩༗狀ଶฒࡏሏ၇೭ؒ᫚׵ －狀ଶػʂ ه㑚㑌࣍᫚׵త࣌ؒʀ᮫伴࣌ؒࢦඪࣗಈኧग़ Machine Translated by Google

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2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ ࢛ेീ ࢿྉᏅूɿࣄނใࠂ 更新事故報告模板 · ሡඞరཝҐᏓ੒ڧ੍ሱੑɻ · ҝ狀ଶ࣌ؒ࣠৽⃧ Not ࢿྉݿ · ᩋਓ၇ه㑚狀ଶᏓԽత࣌ؒ · ࢖ଖՄػᩇ!!!!! Machine Translated by Google ೗Ռࢿྉఆٛ໌֬ɼଇ來ݯՄҎ᯦׆ɻ ʢᙛવɼ୞ཁᏐᎦՄ৴ɻʣ

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ႫԼతब؆ᄸྃɿઌṜᒬ၏ɼ࠶Ṝᒬ၏ɼવޙ߾ོོʂ 49 ᏐᎦ ࢹ᧷Խ Ꮕ᤽ ChatGPT Ұ༦೭ؒब੒ޭྃ 2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ Machine Translated by Google

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2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓ࣄނّද൘ɿՄࢹԽ᮫伴ࢦඪ શ෦ੋ→৭ʂ Machine Translated by Google

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2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓ࣄނّද൘ɿՄࢹԽ᮫伴ࢦඪ ౳ҰԼʂ Machine Translated by Google શ෦ੋ→৭ʂ

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2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓աڈతࢿྉ䏆ʁ IRF 2.0೭લతใࠂʢ౷Ұ֨ࣜʣ · 不同部門的格式不同 · ࣗ༝֨ࣜ༌ೖɺ᠍গሱੑ౳౳ ⋯ ‧ ݱࡏዎኄ㭎ʁ զ၇୞༗࿡ݸ݄త࣌ؒʂ ʂ Machine Translated by Google ࠶աࡾݸ݄զ၇ब။֫ಘେ量ᏐᎦɻ ሣ䆩ʁ

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2 ‑ 4. P2ɿࠜݯम෮/⃧ڧࣄނਗ਼᏷౓ ಹաڈతᏐᎦዎኄ㭎ʁᙛવ － զ၇ಘ਌ࣗಈखʂ ճ෴ɿڭ܇#2ɿ ೗Ռೳ׬੒೚຿ɼब不ཁ֐ዑ弄䨼自己的 Machine Translated by Google 䬞ჵʂ զ၇खಈભҠྃҰ年తࣄނใࠂ զ၇෼޻߹࡞ɼࡏҰि㚎ब׬੒ྃɻ

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શ෦ੋ→৭ʂ શ෦ੋ→৭ʂ 2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓ࣄނّද൘ɿՄࢹԽ᮫伴ࢦඪ Machine Translated by Google

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؇ղ࣌ؒ 3. ᡎ໌ ᒾଌ࣌ؒ 2. ᒾଌ౸ 1. ᚙੜ 2 ‑ 4. P2ɿࠜຊम෮/⃧ڧࣄނਗ਼᏷౓෭࡞༻ɿ᧺࡯ MTTR ࡉ ෼ 4. ؇ղ ղܾత࣌ؒ 5. ቮղܾ ݱࡏզ၇஌ಓ࣌ؒڈ޲Ҏٴզ၇஌ಓզ၇ࡏ䬟ʂ Machine Translated by Google

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03 ୈࡾ֊ஈɿ ݮ൒ࣄނʂ ʁ Machine Translated by Google

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57 զ၇ਅਖ਼૝ཁݮগతੋ什ኄ ࣄނᏐ量ʁ 3 ‑ 1. ݮগࣄނҙຯஶ什ኄʁ ໬ଖੋᏅೖଛࣦ ⋯ ໵ڐ不ੋɻṜੋ ࣄނ଄੒తӨڹ ྫ೗Ꮕೖɺᡎᩆɺ։ᚙऀ଎౓ ⋯ ሣ䆩ʁ Machine Translated by Google

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* շ଎औউ － ૬ሣ༰易վਐ ሣզ၇ʢB2C ࿨ኍࠂʣ 來說，這幾乎決定了收入的影響 58 · ॖ୹࣌ؒ ࣄނᏐ量 ᅡॏఔ౓ ʢࣄނతӨڹఔ౓ʣ × ฏۉम෮࣌ؒ (MTTD + MTTM) ੋ࣌ީࢭ݂ྃΣ · ݮগࣄނᏐ量 · ߱௿ᅡॏఔ౓ˠ理૝ɼ ୠ೉Ҏ߇੍ * धཁத௕ظ౒力 ධဟࣄނӨڹ 3 ‑ 1. ݮগࣄނҙຯஶ 什 ኄʁ Machine Translated by Google Σ

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* շ଎औউ － ૬ሣ༰易վਐ ሣզ၇ʢB2C ࿨ኍࠂʣ 來說，這幾乎決定了收入的影響 59 · ॖ୹࣌ؒ ࣄނᏐ量 ᅡॏఔ౓ ʢࣄނతӨڹఔ౓ʣ × ฏۉम෮࣌ؒ (MTTD + MTTM) ੋ࣌ީࢭ݂ྃΣ · ݮগࣄނᏐ量 · ߱௿ᅡॏఔ౓ˠ理૝ɼ ୠ೉Ҏ߇੍ * धཁத௕ظ౒力 ධဟࣄނӨڹ 3 ‑ 1. ݮগࣄނҙຯஶ 什 ኄʁ Machine Translated by Google Σ զ၇ኺṜཫ։࢝ Ṝ໵ᢛզ၇ࡏ ACT ߶੒ཱ࣌ॴઃఆత᮫伴੷Ꮘࢦඪอ࣋Ұகʂ ୠࡏزݸ݄ޙɼզ၇ሣࠑ֫ಘྃߋਗ਼᏷తೝࣝɻ

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ៃᱛˌ6ɿ೗Ռ ௖ڃߴखհೖࣄނɼࣄނղܾಘ更շʢ......໵ڐʁʣ ᅡॏ஍ʁ 60 3 ‑ 2. ྟۙࣄނղܾ࣌ؒ զ၇೗ԿݮগMTTRʁ Machine Translated by Google

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؇ղ࣌ؒ ղܾత࣌ؒ ओཁࡏܯใྖҬɻ ᒾଌ࣌ؒ 3. ᡎ໌ 2. ᒾଌ౸ 1. ᚙੜ 5. ቮղܾ 4. ؇ղ 3 ‑ 2. ઀ۙࣄނղܾ࣌ؒɼఏঋ MTTR ਗ਼᏷౓ɿґ 狀 ଶػࡉ ෼ MTTR 㑌ݸ໰୊౎༗不ಉతҙٛ ฒ׌धཁ不ಉతղܾํҊʂ Ֆඅࡏࠜम෮࿨ᏐᎦ更ਖ਼త࣌ؒɻྲྀ ݂ቮៃఀࢭ － ݱࡏधཁతੋ ४֬ੑɼࣕ不ੋ଎౓ɻ ग़݂ɼ࠷᮫伴తᴷᴷୠ໵ੋ࠷༰ 易改善的。 Ṝबੋ IRF ᚙش࡞༻త஍ํɻ Machine Translated by Google

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઀ۙMTTDʢฏۉᒾଌ࣌ؒʣ ܯใ ‧ ⃧Ճ更ଟܯใແᖖԙࣄ ‧ ਙࢸՄೳ࢖৘گᏓಘ更糟 · “ա౓؂߇ൺ؂߇不଍更೉ղܾɻ” SREɿ Google ೗Կӡ࡞ੜ㗞ܥ౷ · ܯใաଟʢՄೳੋޡใʣ →ܯใർႾ→ਅመܯใඃԈ֖/ࠌུ 3 ‑ 2. ྟۙࣄނղܾ࣌ؒ 62 နࡏਐ行த զ၇ሡࡏୈ 4 ষதॏ৽౼࿦Ṝݸ໰୊ Machine Translated by Google ‧ վҝሣSLO / ࡨޡ༬ࢉফ໣ᚙग़ܯใ · Ṝ不ੋҰேҰ༦बೳղܾత໰୊

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෦ॺ௖ڃԦṛ+ਪग़ IRF 2.0 㗞ੜྃڊେతӨڹʂ ౷ҰՍߏɿIRF 2.0 ‧ ໌֬తࣄނఆٛ– Կ࣌᜝ҝࣄނ ‧ ౷Ұతճጯ޻࡞ྲྀఔᢛߔ௨ࢦೆ ‧ ֯৭֢෼ɿࣄނࢦش׭ᢛճጯऀ ‧ ճጯऀՄҎሢ஫ԙٹՐ ‧ ࣋᠃తԋशᢛ܇࿅ - Aces Ҏ਎࡞ଇ 3 ‑ 2. ઀ۙࣄނղܾ࣌ؒɼ઀ۙMTTMʢฏۉ؇ղ࣌ؒʣ IRF 2.0 63 Machine Translated by Google

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ڭ܇ #7ɿ 3 ‑ 3. ઀ۙࣄނᏐ 量 զ၇೗Կݮগࣄނຊ਎ʁ 64 不 ⋯ Machine Translated by Google ଈ࢖௖ڃԦṛඈ行һհೖࣄނ ⋯ ࣄނᏐ量不會減少！ ʂ

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զ၇ቮៃऔಘᏐᎦྃɼ不ੋ䆩ʁ ʂ ग़ݱ － ࣄނّද൘ʂ ʂ 3 ‑ 3. ઀ۙࣄނᏐ 量 զ၇धཁɿղܾළᰍ 65 Machine Translated by Google

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ݱࡏզ၇஌ಓྃࣄނᚙੜత஍ᴍ࿨ݪҼɻ ࡏᏐᎦతࢧ࣋Լɼզ၇ਖ਼໘ղܾྃ㑌ҰݸࠜຊݪҼʂ 3 ‑ 3. ઀ۙࣄނᏐ 量 զ၇धཁɿղܾළᰍ 66 Machine Translated by Google

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᠍๡ଌࢼ 67 1. ࣄނݪҼ 3 ‑ 3. ઀ۙࣄނᏐ 量 ղܾළᰍ Machine Translated by Google

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ࣄޙ౼࿦... ‧ ҝ什ኄະៃଌࢼब෦ॺྃʁ ‧ → Ҽҝሏ୞ೳࡏੜ㗞தਐ行ଌࢼɻ · ҝ什ኄ୞ࡏੜ㗞தʁ · → ᠍๡ࢿྉɺ࢑ଘ؀ڥଛᆦ౳ ⋯ · ⋯ . 68 ޷ྃʂᩋզ၇म෮࢑ଘ؀ڥʂ 3 ‑ 3. ݮগࣄނᚙੜ཰ํ๏1ɿະៃଌࢼबᚙ䆋౸ੜ㗞؀ڥ Machine Translated by Google

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နࡏਐ行தɿൺզ၇૝૾తཁ೉ಘଟʂ ‧ ૊݅Ꮠ量䱾ଟɻ · 㑌ݸ෦໳ʢ৽ฉɺኍࠂɺجૅݐઃʣ ౎༗不同的धٻɼ࢖༻཰ · ኍࠂੋ B2B ۀ຿ɼᢛᏅೖ௚઀ֻᭉ → धཁᜦఆ׌ ᜦ ఆ ‧ ৽ฉੋ B2Cɼޭೳަ෇଎౓ੋ᮫伴 69 3 ‑ 3. ղܾࣄނᏐ 量 ໰୊తํ๏1ɿݐߏྟ࣌؀ڥ Machine Translated by Google ૝೺ॴ༗౦੢౎౥ݐى來ʁ不ݱመɼਙࢸᔒ༻ɻॴҎզ၇ኺኍࠂ։࢝ɼҼҝधٻ࠷ߴɻ

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޷ྃʂᩋզ၇։࢝Ꮕूଌࢼ෴֖཰㠧ʂ 70 ᠍๡ଌࢼతํ๏ 2ɿᄸݩଌࢼዎኄᒬʁ · ҝ什ኄզ၇ᔒ༗ಁաᄸݩଌࢼᚙݱሏʁ · Ҽҝզ၇ᔒ༗೚Կ ⋯ ‧ 3 ‑ 3. ઀ۙࣄނᏐ 量 Machine Translated by Google

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ฏۉ෴֖཰ ࣄނᏐ量 · ਐೖ᠍๡෴֖௥᪦తܥ౷ · ։⬏ PR Ҏ㗞ੜใࠂ · ៸੡ᄸݩଌࢼ෴֖཰ᢛܥ౷ࣄނ Ꮠ 量 త᮫܎ᅷ 3 ‑ 3. ઀ۙࣄނᏐ 量 ղܾ᠍๡ଌࢼతํ๏2ɿ෼ੳᄸݩଌࢼ෴֖཰ 71 Machine Translated by Google

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· ଌࢼ෴֖཰࿨ࣄނ೭ؒੋ൱༗᮫࿆ʁ → ੋతɼଘࡏ᮫࿆ɻ ʢ=෴֖཰௿୅දࣄނ更ଟʣ ‧ಹኄɿ更ߴత෴֖཰ਅతೳݮগࣄނ䆩ʁ → 不確定。᮫࿆ ≠ ҼՌ᮫܎ɻ · ု؅೗ࠑɼਂೖݚڀ௿෴֖཰/ߴࣄނܥ౷ද໌૬ࣅతࠜݯɿ ‧ ೉Ҏሜग़ଌ ࢼ / ᔒ ༗ ଌ ࢼ จ Խ / ౳ ౳ ⋯ 3 ‑ 3. ղܾࣄނᏐ 量 ໰୊తํ๏ೋɿ෼ੳᄸݩଌࢼ෴֖཰ 72 Machine Translated by Google ޷ྃʂᩋզ၇ਐೖ௿෴֖཰ܥ౷ฒ㢨ॿฤሜᄸݩଌࢼʂ

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զ၇㐝தྃ 3 ‑ 4 ݸ૊݅......ୠሏฒᔒ༗ਅਖ਼վᏓ೚Կ౦੢զ၇ೝҝ೗Ռզ၇ ఏڙҰࠣࣔྫɼଖଞਓब။Ꮘ㟩...... 73 ಈखመ࡞ʂҝॴ༗౦੢ఴՃଌࢼ 1. ࢖༻ SonarQube ਘፙ LOC ߴɺ෴֖཰௿తจ݅ 2. ࢖༻ LLM 㢨ॿ㗞ੜଌࢼ 3. 3ॏෳࠑաఔɼ௚౸੔ݸ૊݅ୡ౸ 50% Ҏ্త෴֖཰ 3 ‑ 3. ղܾࣄނᏐ 量 ໰୊తํ๏ೋɿݐߏᄸݩଌࢼ Machine Translated by Google

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· ఏߴ෴֖཰ɼൣྫฒະվᏓ行ҝ ‧ धཁཆ੒࣋᠃ฤሜଌࢼతश׳ ‧໰୊ɿ · ᔒ༗ܹჄɼᔒ༗ڞڗၢ值 ‧ 㑌ݸਓ౎኷๩ɿۓഭతፊࢭ೔ظት來ᆫ力 ‧ ʢ2025 年 5 ݄更৽ʣɿେޠݴ໛ܕ (LLM) Մೳ။վᏓ༡ፍنଇʂ ୈ࢛ষ៺᠃ ⋯ 74 3 ‑ 3. ղܾࣄނᏐ 量 ໰୊తํ๏ೋɿݐߏᄸݩଌࢼ Machine Translated by Google ṜੋҰݸᅶୂจԽ࿨૊৫త௅ፌɻ

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#2 ࣄނݪҼ 75 ഑ஔᏓ更 3 ‑ 3. ઀ۙࣄނᏐ 量 ղܾළᰍ Machine Translated by Google

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· ሏ၇኷ෳᯑ ⋯ → ҙ֎త A/B ෼഑࿨ࡨޡ഑ஔಋகසൟग़ݱ໰୊ 76 ޷㠧ɼᩋզ၇ਗ਼理 A/B ଌࢼ࿨ޭೳඪࢽʂ · “഑ஔᏓ更”ɿಈଶ/ઢ্߇੍ጯ༻ఔࣜ行ҝ * ྫ೗ A/B ଌࢼ࿨ޭೳඪهɺੜ㗞ଌࢼ ‧ զ၇༗㚎෦ฏ୆༻ԙṜ兩ऀ 3 ‑ 3. ઀ۙ഑ஔ 更 վࣄނతᏐ 量 Machine Translated by Google ‧ ໰୊

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ᢛฏ୆ᅶୂ߹࡞ɼ၏ग़ྃڐଟվਐʂ 77 3 ‑ 3. ઀ۙ഑ஔ更վࣄނతᏐ量 · ൷࣍႟আະ࢖༻ʢ༬ઃʣ తޭೳඪࢽ ‧ ݐཱޭೳඪࢽత࢖༻ࢦೆ ‧ Ճڧᱛᨽᬓा ‧ ʢࡨޡత഑ஔಋகղੳࡨޡ࿨่௵ ⋯ ） Machine Translated by Google

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#3 ࣄނݪҼ 78 ཭ઢ൷࣍႔理 جຊ্ɼFlink 3 ‑ 3. ઀ۙࣄނᏐ 量 ղܾළᰍ Machine Translated by Google

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· Ұଯ཭ઢ串ྲྀ Flink ࡞ۀ ⋯ ‧ ྫ೗࢕෰ث → Kafka → Flink → Scyllaɺ ClickHouse ⋯ 79 · ጯ༻ᅶୂ᠍๡ Flink ሢՈ → ಋகසൟग़ݱᏈೳɺॏ৽啟ಈɺແ ᄸݩଌࢼɺࡨޡ౳໰୊ ޷ྃʂᩋզ၇Ұىվ଄ Flink ฏ୆㠧ʂ 3 ‑ 3. ઀ۙ཭ઢ൷࣍తࣄނᏐ 量 ɿFlinkʢ։ݯ 串 ྲྀ႔ 理 ݿʣ Machine Translated by Google ‧ ໰୊ ‧ զ၇໵༗㚎෦ฏ୆

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· վਐྃฏᢕຊ਎ · ɹɹ‧ 更好的 ࢖༻ऀհ໘ɺࣗಈԽ෦ॺ౳౳ · ഓҭ࠷Ղመ຿ ‧ ఏڙ࠷ Ղመ຿จ݅ ‧ ఏڙൣຊሢҊʢแׅଌࢼʂʣ · ሡ௚઀ॏߏ PR ၚૹࢸ֤ݸݩ݅ ‧ መ࡞࠷Ղመ຿ᢛଌࢼ ᢛฏ୆ᅶୂ߹࡞ɼվਐฏ୆ٴଖจ݅ʂ 80 3 ‑ 3. ઀ۙ཭ઢ൷࣍తࣄނᏐ 量 Machine Translated by Google

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ฏۉम෮࣌ؒ ⋯ 81 ‑ 48% ݮগʂ ʂݮ൒ʂ ʂ ʂ ACT ࣌୅ᢛ ACT લ ࣄނᏐ量 ⋯ ⃧Ճ32%ʂ ʂ 3 ‑ 4. ݁Ռɿզ၇ਅతሡࣄނᚙੜ཰ʮݮ൒ʯ ྃ 䆩 ʁ Machine Translated by Google

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ฏۉम෮࣌ؒ ⋯ 82 ‑ 48% ݮগʂ ʂݮ൒ʂ ʂ ʂ ACT ࣌୅ᢛ ACT લ ࣄނᏐ量 ⋯ ⃧Ճ32%ʂ ʂ 3 ‑ 4. ݁Ռɿզ၇ਅతሡࣄނᚙੜ཰ʮݮ൒ʯ ྃ 䆩 ʁ Machine Translated by Google ౳ҰԼʂ

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੥ີ੾஫ҙधཁ࣋᠃౒力。 ࣄނଖመ不ੋࡏ⃧Ճ䆩 ⋯ ʁ 3 ‑ 4. ݁Ռɿզ၇ਅతሡࣄނᚙੜ཰ʮݮ൒ʯ ྃ 䆩 ʁ 83 Machine Translated by Google · 12 ݄తᰡঋ୞ੋقઅੑత䆩ʁ · ၊೔ߴๆˠ࠷ޙҰࠁతᏓԽʁ · IRF2.0ਪग़༗෭࡞༻䆩ʁ · ໌֬ఆٛˠ更ଟᒾଌʁ · അࢩབత᭿ṁɿ · “೗Ռ୞༗IRFɼ ಹኄॴ༗ࣄ৘؃ى來౎૾ੋҰى ࣄނ” · 1 ݄೭ޙɼ։࢝ఄݱԼ਼߱੎

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84 · ᰖஶվળ MTTMitgate · ײँIRF2.0తڧେʂ · ୠMTTDetectฒະվળ · ᒾଌနવੋҰ߲௅ፌ 3 ‑ 4. ݁Ռɿզ၇ਅతሡࣄނᚙੜ཰ʮݮ൒ʯ ྃ 䆩 ʁ 㠥Ұํ໘ɼMTTR ݮ൒ྃʂ Machine Translated by Google ֬መײड౸ྃ ᏓԽత੎಄ʂ

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ᅡॏఔ౓ࡉ෼ᔒ༗ॏେᏓԽ ʢࣄނᏐ量↑ʣ xʢղܾ࣌ؒ↓ʣ → Өڹུ༗Լ߱ 3 ‑ 4. ݁Ռɿզ၇ਅతሡࣄނᚙੜ཰ʮݮ൒ʯ ྃ 䆩 ʁ ੔ᱪධဟ 85 զ၇ฒᔒ༗ሡࣄނᚙੜ཰ݮ൒ ⋯ વࣕɼ௅ፌੋᰖࣕ易見తɼվਐతجૅቮៃᇌఆʂ Machine Translated by Google ᩋզ၇መݱሏ

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ႫԼతɼҎٴ઀Լ來త ୈ࢛֊ஈɿ 04 Machine Translated by Google

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զ၇Ӭԕ不Մೳሡࣄނᚙੜ཰߱ҝྵɻ 87 ܾ不 ⋯ 4 ‑ 1.ґવଘࡏత௅ፌɿզ၇૝ݮগࣄނ ୠੋ ⋯ Machine Translated by Google

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4 ‑ 1. Ⴋᰨ௅ፌɿ෩ᯃ؅ 理 ᢛ༬ܯզ၇ਅతೳ၏౸ྵ෩ᯃ䆩ʁ ҃ऀ ɹ ɹ ɹ ɹ ɹ 㘸զ၇ጯ֘၏౸䆩ʁ 88 ݱመ৘گੋ ṜӬԕ不။ᚙੜ ҝྃਅਖ਼ݮগࣄނᚙੜ ⋯ ‧ ఀࢭᚙ෍ޭೳʁ ɹ‧ → ؇ຫࢮ๢ · ༬๷धཁՖඅແݶత੒ຊʢਓ力ɺ࣌ؒʣʁ · ੒ຊӽߴɼࣄނᚙੜ཰Մೳӽ௿... ‧ → ੋ൱࣋᠃ଌࢼ௚౸զ၇ײ᧷ 100%ʮ҆શʯʁ Machine Translated by Google

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量化我們的෩ᯃঝडೳ力 ฒ༻ሏ來߇੍զ၇઀डతࣄނᏐ量ɻ 89 · ୠੋɼզ၇೗Կ࠽ೳፙ౸ʮਖ਼֬ʯతฏߧᴍ䏆ʁ ‧ଈ࢖㑌ݸܥ౷߲҃໨౎不ಉ ‧զ၇ՄҎ౤ೖత੒ຊ ‧ Մ઀डత෩ᯃਫฏʢ㲈 ࣄނᏐ量ɺࣦഊ཰ ʣ ‧ ኍࠂੋ B2B తɼᢛᏅೖ௚઀૬᮫ → धཁݎ೗൬ੴ ‧ ৽ฉੋ B2C → ަ෇଎౓ୈҰʂ 4 ‑ 1. Ⴋᰨ௅ፌɿ෩ᯃ؅ 理 ࿨ܯใզ၇ر๬ฏߧަ෇଎౓ɺ඼࣭ɺ੒ຊ࿨ ࣄނ ෩ᯃɻ Machine Translated by Google

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· 不再有風險 · SLO = Service Level Objectiveɿ ʮଟগނোੋՄҎ઀डతʁʯ · ྫ೗ 99.9% Մ༻ ‑ > ҙຯஶ 0.1% తނ োੋʮҸڐతʯ · ሡ໨ඪෟՃ౸ SLI ൓өਅመ UX ଛ֐తࢦඪ · Error Budgetɿʮզ၇ؐႫԼଟগࣦഊۭؒʯ · ‧ ᙛ༬ࢉႫᰨ࣌ →զ၇ՄҎঝ፦෩ᯃ · ‧ ଈ࢖ੋେᢇతᚙ෍໵ੋެฏత · ༬ࢉ໣ᚭ࣌ →ແ๏ঝ፦෩ᯃɿ࢖༻ऀᱪᱛቮៃड౸Өڹ 90 ੋ࣌ީ์ຫ଎౓ྃ ჩߟɿ መ࡞ SLO Google SRE 4 ‑ 1. Ⴋᰨ௅ፌɿ෩ᯃ؅ 理 ᢛܯใSLO ᢛࡨޡ༬ࢉɿࢹ᧷Խ෩ᯃঝ डೳ 力 ࡨޡ༬ࢉᩋզ၇ೳ夠ҎᏐҐํࣜදୡ෩ᯃঝडೳ力ɻ 理論上......Ṝᡒى來૬ᙛՄᯪɻ Machine Translated by Google

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· ࡨޡ༬ࢉշ଎ফ໣࣌ᚙग़ܯใɻ ‧ ྫ೗ɼجԙফ໣཰తܯใ ‧೗Ռࠌུሏɼࡨޡ༬ࢉब။໣ᚭ ‧ ҧ൓෰຿ਫ४໨ඪ (SLO ) ‧Ṝҙຯஶਅਖ਼త࢖༻ऀᱪᱛडଛʂ༻㖽ड౸Өڹʂ ‧ແ๏ࠌུ - ṜੋҰݸࣄނʂɹჩ ߟ ɿ ᮫ԙ SLO తܯใᡒى來不 91 4 ‑ 1. Ⴋᰨ௅ፌɿ෩ᯃ؅ 理 ᢛܯใվળܯใ － ܯใ=ࣄނ Machine Translated by Google ࡨʂੋ࣌ީ೺Ṝࠣ SLO མመ౸Ґྃʂ

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· ఆٛ༗Ꮘత SLO ฒ不༰易 · ‧ Biz࿨ PdMฒ不័ੋ༗౴Ҋ · ޻ఔࢣᔒ༗࣌ؒመ࡞ SLO · ‧ ଞ၇ਙࢸፙ不౸࣌ؒሜᄸݩଌࢼʂ · ‧ ଈ࢖զ၇ઃఆྃሏ၇ ʢመࡍ্զ၏ྃҰࠣ ⋯ ） ‧ · ೗Ռᔒ༗ਓଚॏ SLOɼಹؐ༗什ኄҙٛ䏆ʁ 92 4 ‑ 2. Ⴋᰨ௅ፌɿ઼଄૊৫࿨จԽզ၇ঐࢼࡏҰࠣ஍ํਪग़ SLO ɼୠੋ ⋯ Machine Translated by Google ᔒ༗᯦丹ົ᥂ ⋯

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զ၇ر๬ሡ SLO ʢ࠷ऴੋ SRE తࢥҡํࣜʣ ༥ೖզ၇త޻ఔจԽதɻ 93 4 ‑ 2. Ⴋᰨ௅ፌɿ઼଄૊৫࿨จԽզ၇೗Կᩋ SLO ਅਖ਼ᚙش࡞༻ʁ ‧ ࠷ऴɼṜऔܾԙզ၇ਅਖ਼ॏࢹ什ኄ ‧ ʮզ၇ੋ൱૬৴ฏߧ੒ຊ࿨෩ᯃᢛ“SLO 值得嗎？” Machine Translated by Google ‧ զ၇धཁશެ࢘ॴ༗ਓతჩᢛ ‧ धཁҰछจԽํ๏

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SRE ࿨ DevOps ੋҰछจԽ ሏ၇不။ࡏҰఱ೭㚎ាࠜɻ Ṝधཁ׼ਫɺ ଱৺࿨࣋᠃త౒力ɻ 94 4 ‑ 2. Ⴋᰨ௅ፌɿ઼଄૊৫࿨จԽզ၇೗Կᩋ SLO ਅਖ਼ᚙش࡞༻ʁ ‧ ༝Լ্ࣕɿ 行 ಈ ‧ ڭҭ࿨ഓ܇޻ఔࢣɺۀ຿ਓһɺ㗞඼ៃ理ᩋ㑌ݸਓ౎ჩᢛਐ來 ‧ ্ࣗࣕԼɿ ߴ૚ ‧. ଞ၇֬መࢧ࣋ SRE · ਘٻྖಋ૚తࢧ࣋࿨ࢦಋ Machine Translated by Google

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զ၇ҝظ࿡ݸ݄త ACT ೚຿ଈሡ݁ଋɻ Ṝࠣधཁ࣋᠃త౒力 95 զ၇೗Կอ࣋Ṝछ੎಄ɼ ฒࡏ ACT ղࢄޙጯሣႫᰨత௅ፌʁ 4 ‑ 3. ઀Լ 來 ੋ 什 ኄ ⋯ Machine Translated by Google ‧ ௅ፌґવଘࡏɿሡSRE҆᧋౸ SmartNews త޻ఔจԽத ‧ መࢪฒҡޢ SLO ‧ Ҏٴ更ଟ... ‧ ఏߴՄ᧺࡯ੑ ‧ ௥᪦ฒ࠾औ行ಈ DORA ࢦඪ౳...

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ACT ݁ଋޙɼલ੒һฦճᅶୂฒར༻ X% త࣌ؒ៺᠃ਐ行 SRE ޻࡞ զ᧷ಘṜᡒى來኷߹理 ⋯ զ၇֘೗Կղࢄ ACTʁ ఏҊɿ“෼ࢄࣜ SRE ᅶୂ” 4 ‑ 3. ઀Լ 來 ੋ 什 ኄ ⋯ 96 ҃ڐʁ Machine Translated by Google

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զ၇֘೗Կղࢄ ACTʁ ᅶୂతᥒঌ 4 ‑ 3. ઀Լ 來 ੋ 什 ኄ ⋯ 97 ؐ༗኷ଟࣄ৘ະ׬੒ᴷᴷୠฒ不ޙչʂ Machine Translated by Google · ඃڋ㘺 · ‧ ᔒਓ૝೺ SRE ᙛ࡞ࣗݾతશ৬޻࡞ɻ · ‧ ࣕ׌෼഑ʮX%ʯ త ࣌ ؒ ⋯ ੋతɼṜኺ來౎不ੋਅత༗Ꮘɻ · զ၇తܾఆɿ · ‧લ ACT ။һሡ៺᠃ڠॿਪኍ SREɼୠզ၇။Ֆ࣌ؒݐཱҰࢧሢ໳త SRE ᅶୂɻ զ၇࡞ҝҰݸᅶୂ၏ग़ྃṜݸܾఆɻ

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4 ‑ 3. ઀Լ 來 ੋ 什 ኄ ⋯ 98 զ၇తڻਓᏓԽʂ զ၇࡞ҝ ACT తʢᢰ೉తʂʂʣ ࿡ݸ݄త೚຿ቮៃ݁ଋɻ զ၇ਅత૑଄ྃʮڻਓతվᏓʯ䆩ʁ㘸መ࿩ ⋯ ⋯ զ不֬ఆɻ ୠզ၇֬መײ᧷ ඇৗײँզతୂ༑၇աڈ࿡ݸ݄తฃፌʂ Machine Translated by Google “զ၇ቮៃᬏग़ྃ௨ԟ SRE తອ௕ཱྀఔతୈҰ㑊ʂ”

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䓟తڻਓվᏓʂ ။ٞ݁ଋޙɼ㟬來౸㭎ެࣨɼ࿝䷩㘸ɿ ⋯ 從哪裡開始呢？ 99 4 ‑ 3. ઀Լ 來 ੋ 什 ኄ ⋯ ر๬ຊ࣍՝ఔೳሣ๭ ࠣਓ༗㢨ॿ Machine Translated by Google “޷㠧 ኺࠓఱ։࢝ɼ㟬త޻࡞बੋݮগࣄނɻ”

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ײँ䓟త᮫஫ʂ Machine Translated by Google

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101 ჩߟ • Seeking SRE: Conversations About Running Production Systems at Scale • Site Reliability Engineering: How Google Runs Production Systems • SRE Google Workbook • Effective DevOps: Building a Culture of Collaboration, Affinity, and Tooling at Scale • Fearless Change: Patterns for Introducing New Ideas