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A technology-driven enterprise managing large-scale cloud applications needed faster visibility into operational issues hidden across massive volumes of log data.

The Challenge
  • Manual log analysis was time-consuming and reactive
  •  Engineers spent hours correlating logs across services
  • Root-cause identification was delayed during incidents
  • Operational teams lacked an intuitive way to query logs

Solution Approach Pentagon implemented Amazon Q Developer to enable conversational, AI-driven log analysis. Developers and operations teams could now ask natural language questions such as:
  • “Why did API latency spike yesterday?”
  •  “Show error trends for payment services in the last 24 hours”

Key Capabilities
  •  Natural language log querying powered by GenAI
  •  Automated correlation across services and time windows
  •  Context-aware summaries highlighting probable root causes
  • Secure access with enterprise-grade governance

Business Outcomes
  • Significant reduction in Mean Time to Resolution (MTTR)
  • Faster root-cause identification during incidents
  • Reduced dependency on senior engineers for log analysis
  •  Improved system reliability and operational confidence

The Result

Amazon Q Developer transformed log analysis from a reactive, manual process into a proactive, conversational experience enabling faster troubleshooting and operational excellence.

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