Alaska Airlines charts smooth app modernization journey with Sumo Logic Application Observability
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Sumo Logic Continuous Intelligence Platform™
- Microsoft Azure
- Kubernetes
Tech Stack
- Kubernetes
- Microsoft Azure
- Redis
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
- Platform as a Service (PaaS) - Connectivity Platforms
- Application Infrastructure & Middleware - Data Visualization
Applicable Industries
- Transportation
- Software
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Predictive Maintenance
- Machine Condition Monitoring
- Remote Asset Management
Services
- System Integration
- Software Design & Engineering Services
- Data Science Services
About The Customer
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.
The Challenge
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.
The Solution
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.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
Case Study
Cold Chain Transportation and Refrigerated Fleet Management System
1) Create a digital connected transportation solution to retrofit cold chain trailers with real-time tracking and controls. 2) Prevent multi-million dollar losses due to theft or spoilage. 3) Deliver a digital chain-of-custody solution for door to door load monitoring and security. 4) Provide a trusted multi-fleet solution in a single application with granular data and access controls.
Case Study
Vehicle Fleet Analytics
Organizations frequently implement a maintenance strategy for their fleets of vehicles using a combination of time and usage based maintenance schedules. While effective as a whole, time and usage based schedules do not take into account driving patterns, environmental factors, and sensors currently deployed within the vehicle measuring crank voltage, ignition voltage, and acceleration, all of which have a significant influence on the overall health of the vehicle.In a typical fleet, a large percentage of road calls are related to electrical failure, with battery failure being a common cause. Battery failures result in unmet service agreement levels and costly re-adjustment of scheduled to provide replacement vehicles. To reduce the impact of unplanned maintenance, the transportation logistics company was interested in a trial of C3 Vehicle Fleet Analytics.
Case Study
3M Gains Real-Time Insight with Cloud Solution
The company has a long track record of innovative technology solutions. For example, 3M helps its customers optimize parking operations by automating fee collection and other processes. To improve support for this rapidly expanding segment, 3M needed to automate its own data collection and reporting. The company had recently purchased the assets of parking, tolling, and automatic license plate reader businesses, and required better insight into these acquisitions. Chad Reed, Global Business Manager for 3M Parking Systems, says, “With thousands of installations across the world, we couldn’t keep track of our software and hardware deployments, which made it difficult to understand our market penetration.” 3M wanted a tracking application that sales staff could use to get real-time information about the type and location of 3M products in parking lots and garages. So that it could be used on-site with potential customers, the solution would have to provide access to data anytime, anywhere, and from an array of mobile devices. Jason Fox, Mobile Application Architect at 3M, upped the ante by volunteering to deliver the new app in one weekend. For Fox and his team, these requirements meant turning to the cloud instead of an on-premises datacenter. “My first thought was to go directly to the cloud because we needed to provide access not only to our salespeople, but to resellers who didn’t have access to our internal network,” says Fox. “The cloud just seemed like a logical choice.”
