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实例探究 > Alaska Airlines charts smooth app modernization journey with Sumo Logic Application Observability

Alaska Airlines charts smooth app modernization journey with Sumo Logic Application Observability

技术
  • 分析与建模 - 实时分析
  • 平台即服务 (PaaS) - 连接平台
  • 应用基础设施与中间件 - 数据可视化
适用行业
  • 运输
  • Software
适用功能
  • 商业运营
  • 质量保证
用例
  • 预测性维护
  • 机器状态监测
  • 远程资产管理
服务
  • 系统集成
  • 软件设计与工程服务
  • 数据科学服务
挑战
Alaska Airlines embarked on a major initiative to move its monolith website and supporting applications from running on servers in data centers to the cloud. Essential to this initiative was the need to maintain observability data and insights on application performance to ensure the migration was smooth and didn’t negatively impact customers. However, the company’s incumbent application performance management solution was cost-prohibitive and wasn’t a good fit for the new cloud environments.
关于客户
Alaska Airlines, along with its regional partners, serves more than 120 destinations across the U.S., Mexico, Canada, and Costa Rica. The airline is known for its next-level care for guests, low fares, award-winning customer service, and sustainability efforts. As part of its commitment to high-quality customer experience, Alaska Airlines embarked on a significant initiative to modernize its applications and infrastructure by moving to the cloud. This initiative was aimed at ensuring a seamless customer experience while leveraging modern technologies to enhance operational efficiency and reliability.
解决方案
Alaska Airlines standardized on Sumo Logic to provide observability and real-time data insights during its strategic investments in new Kubernetes infrastructure. Leveraging the Sumo Logic Continuous Intelligence Platform™, the airline accelerated innovation while ensuring application reliability. The platform enabled the SRE team to track website application reliability, run chaos engineering games to understand system failures, and manage cloud costs through application optimization. Sumo Logic’s custom intelligence dashboards provided detailed application performance insights, allowing the team to make informed adjustments to optimize cost savings and reliability.
运营影响
  • Tracking website application reliability: The SRE team uses Sumo Logic to monitor web page performance against established service level objectives (SLOs) for availability and response times. Alerts and dashboards help the team address issues promptly.
  • Using data analytics for chaos engineering: The SRE team conducts chaos engineering exercises to understand system failures and improve response strategies. Insights from Sumo Logic are critical for these exercises, enabling the team to document and monitor the results.
  • Managing reliability and cloud costs: Sumo Logic helps the SRE team optimize application settings in the Kubernetes environment, balancing resource requests to prevent cost inefficiencies and ensure application reliability. Custom intelligence dashboards provide actionable insights for these optimizations.
数量效益
  • The team addressed a Redis cache failure incident within 10 minutes, significantly reducing potential downtime.
  • The flight search application was optimized to use 40% less CPU and 40% more memory, preventing cost inefficiencies and potential performance issues.

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