Gartner Insights Abstract

生成AIの活用によるAPM/可観測性の強化

Published: 10 June 2024

Summary

ITオペレーション・チームは、最新のアーキテクチャを使って構築された、複雑なビジネス・クリティカル・アプリケーションの効果的な管理に苦心している。I&Oリーダーは、生成AIを活用して、APM/可観測性プラットフォームの効率と価値を向上させ、その有効性を高める必要がある。

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要約

主要な所見
  • インフラストラクチャ/オペレーション (I&O) のリーダーは、複雑なビジネス・クリティカル・アプリケーションを管理しているチームの生産性を最大限に高める必要に迫られている。

  • アプリケーション・パフォーマンス監視 (APM)/可観測性ベンダーは、生成AIを活用した機能を導入し始めているが、こうした新たなテクノロジが実現するメリットはまだ明確になっていない。

  • I&Oリーダーは、ITオペレーションにおけるAIイニシアティブのメリットを評価するのは困難であると感じている。

推奨事項
  • 本リサーチノートで提示する生成AIのユースケースを検討し、生産性向上を実現できる可能性のある領域を特定する。

  • 生成AIのユースケースに照らしてオペレーション上の問題点と目標に優先順位を付け、整合性を確保することによって、価値を最大限に高める。

  • 関連するユースケースを段階的に実装し、生産性の向上を測定することで、ITオペレーションにおける生成AIのメリットと課題を評価する。

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Analysts:

Hideo Yoneda

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