241219_reCap by iret

https://cloudpack.jp/event/aws-reinvent-recap-2024.html

Transcript

1. オブザーバビリティと AI と MSP AWS re:Invent 2024 re:Cap presented by iret & KAG
2. 2 AI 時代に求められるスキルとは︖
3. ⾃⼰紹介 3 n 名前︓⽥所 隆之 • (所属) クラウドインテグレーション事業部 MSPセクション グループリーダー • (アイレット歴) 2年⽬ • (好きなサービス) Amazon CloudWatch • (好きなスポーツ) トライアスロン
4. 4 コンテンツ 1. オブザーバビリティ 2. AI 3. MSP
5. 5 コンテンツ 1. オブザーバビリティ 2. AI 3. MSP
6. 1．オブザーバビリティ（セッション紹介） 6 • Building the future of cloud operations at any scale [COP202-INT] • Hands-on experience with Amazon CloudWatch [COP303] • Best practices for observability [COP344] • Enhance performance with observability, security, and log analytics [ANT341] • Leveraging intelligent CloudOps to achieve service-level objectives [COP355] • Supercharging security & observability with Amazon CloudWatch [COP340] • Best practices for end-to-end digital experience monitoring [COP320] • Elevating your data security posture through scalable observability [SEC316] • Investigate operational issues faster with AI [COP379-NEW] • Donʼt get stuck: How connected telemetry keeps you moving forward [COP322] • Monitoring and troubleshooting your cloud network on AWS [NET207] • Transform your cloud MSP with the power of AWS AI [PEX201]
7. 1．オブザーバビリティ（セッション紹介） 7 • Building the future of cloud operations at any scale [COP202-INT] • Hands-on experience with Amazon CloudWatch [COP303] • Best practices for observability [COP344] • Enhance performance with observability, security, and log analytics [ANT341] • Leveraging intelligent CloudOps to achieve service-level objectives [COP355] • Supercharging security & observability with Amazon CloudWatch [COP340] • Best practices for end-to-end digital experience monitoring [COP320] • Elevating your data security posture through scalable observability [SEC316] • Investigate operational issues faster with AI [COP379-NEW] • Donʼt get stuck: How connected telemetry keeps you moving forward [COP322] • Monitoring and troubleshooting your cloud network on AWS [NET207] • Transform your cloud MSP with the power of AWS AI [PEX201]
8. 1．オブザーバビリティ（セッション紹介） 8 Hands-on experience with Amazon CloudWatch [COP303]
9. 1．オブザーバビリティ（セッション紹介） 9 Supercharging security & observability with Amazon CloudWatch [COP340]
10. 1．オブザーバビリティ（セッション紹介） 10 Monitoring and troubleshooting your cloud network on AWS [NET207]
11. 1．オブザーバビリティ（セッション紹介） 11 Best practices for observability [COP344]
12. 12 コンテンツ 1. オブザーバビリティ 2. AI 3. MSP
13. 2．AI（セッション紹介） 13 • Building the future of cloud operations at any scale [COP202-INT] • Hands-on experience with Amazon CloudWatch [COP303] • Best practices for observability [COP344] • Enhance performance with observability, security, and log analytics [ANT341] • Leveraging intelligent CloudOps to achieve service-level objectives [COP355] • Supercharging security & observability with Amazon CloudWatch [COP340] • Best practices for end-to-end digital experience monitoring [COP320] • Elevating your data security posture through scalable observability [SEC316] • Investigate operational issues faster with AI [COP379-NEW] • Donʼt get stuck: How connected telemetry keeps you moving forward [COP322] • Monitoring and troubleshooting your cloud network on AWS [NET207] • Transform your cloud MSP with the power of AWS AI [PEX201]
14. 2．AI（セッション紹介） 14 • Building the future of cloud operations at any scale [COP202-INT] • Hands-on experience with Amazon CloudWatch [COP303] • Best practices for observability [COP344] • Enhance performance with observability, security, and log analytics [ANT341] • Leveraging intelligent CloudOps to achieve service-level objectives [COP355] • Supercharging security & observability with Amazon CloudWatch [COP340] • Best practices for end-to-end digital experience monitoring [COP320] • Elevating your data security posture through scalable observability [SEC316] • Investigate operational issues faster with AI [COP379-NEW] • Donʼt get stuck: How connected telemetry keeps you moving forward [COP322] • Monitoring and troubleshooting your cloud network on AWS [NET207] • Transform your cloud MSP with the power of AWS AI [PEX201]
15. 2．AI（アップデート） 15 Investigate operational issues faster with AI [COP379-NEW]
16. 2．AI（アップデート） 16 Investigate operational issues faster with AI [COP379-NEW]
17. 2．AI（セッション紹介） 17 • Building the future of cloud operations at any scale [COP202-INT] • Hands-on experience with Amazon CloudWatch [COP303] • Best practices for observability [COP344] • Enhance performance with observability, security, and log analytics [ANT341] • Leveraging intelligent CloudOps to achieve service-level objectives [COP355] • Supercharging security & observability with Amazon CloudWatch [COP340] • Best practices for end-to-end digital experience monitoring [COP320] • Elevating your data security posture through scalable observability [SEC316] • Investigate operational issues faster with AI [COP379-NEW] • Donʼt get stuck: How connected telemetry keeps you moving forward [COP322] • Monitoring and troubleshooting your cloud network on AWS [NET207] • Transform your cloud MSP with the power of AWS AI [PEX201]
18. 2．AI（セッション紹介） 18 Transform your cloud MSP with the power of AWS AI [PEX201]
19. 2．AI（セッション紹介） 19 Transform your cloud MSP with the power of AWS AI [PEX201]
20. 20 コンテンツ 1. オブザーバビリティ 2. AI 3. MSP
21. 3．MSP（アイレットの取り組み） 21 複数オウンドメディアのサーバーレス化と New Relic を活⽤したモニタリング基盤構築 運⽤コスト効率化とオブザーバビリティ強化を実現 https://www.iret.co.jp/works/24-03.html
22. 22 社内サービスの稼働状況や効果を⼀元管理・可視化するダッシュボードを構築し、オブザーバビリティ強化に貢献 https://www.iret.co.jp/works/175.html 3．MSP（アイレットの取り組み）
23. 23 ⽣成 AI 導⼊でサポートデスク対応の⼯数を約9⼈⽇削減︕問い合わせ要約・検索機能を開発 https://www.iret.co.jp/works/24-22.html 3．MSP（アイレットの取り組み）
24. 3．MSP 24 Transform your cloud MSP with the power of AWS AI [PEX201]
25. 3．MSP 25 AI のユースケース 適⽤例 インシデント対応 インシデントの要約、分析、予知 ナレッジ管理 動的ランブック⽣成、ナレッジ検索 ⾃動化 タスク処理、ドキュメント作成、トリアージ 顧客体験 フロントのサポート、感情分析 スタッフの⽣産性 シフト引き継ぎ、スキル向上 レポート SLA、コンプライアンス
26. 3．MSP 26 AWS re:Invent 2024 - CEO Keynote with Matt Garman - https://www.youtube.com/watch?v=LY7m5LQliAo
27. 3．MSP 27 AWS re:Invent 2024 - Dr. Werner Vogels Keynote - https://www.youtube.com/watch?v=aim5x73crbM
28. 3．MSP 28 ⾃動化しないこと • MSPの⽬指す⽅向性を決めること • 開拓、改善する領域を考えること • インシデント管理からレポートまで、ソリューションを実装すること • ⾃動⽣成した内容を精査すること
29. 3．MSP 29 ⾃動化しないこと • ビジョンの策定 • AI 活⽤の戦略策定 • AI ソリューションの実装 • 最終チェック
30. 3．MSP 30 求められるスキル • 経営能⼒ • ⼈材、ツールのマネジメント • AI エンジニアスキル • AI ツールへの適応
31. 31 AI 時代に求められるスキルとは︖
32. 3．MSP 32 求められるスキル • 経営能⼒ • ⼈材、ツールのマネジメント • AI エンジニアスキル • AI ツールへの適応
33. ありがとうございました︕ 33