Case Studies LendingTree Enhances Cloud Reliability and Cost Efficiency with Sumo Logic and Kubernetes
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LendingTree Enhances Cloud Reliability and Cost Efficiency with Sumo Logic and Kubernetes

Analytics & Modeling - Real Time Analytics
Application Infrastructure & Middleware - Data Exchange & Integration
Platform as a Service (PaaS) - Connectivity Platforms
Finance & Insurance
Business Operation
Quality Assurance
Predictive Maintenance
Real-Time Location System (RTLS)
Remote Asset Management
Cloud Planning, Design & Implementation Services
Data Science Services
System Integration
LendingTree is focused on maintaining high uptime levels by minimizing outages and disruptions to provide better service to its over eight million customers. The company also seeks new avenues for innovation and cost savings. The Kubernetes project was identified as a potential solution to boost reliability by spreading cloud computing workloads across multiple vendors. However, LendingTree needed a unified approach to understand the state of their distributed environment, become aware of issues regardless of their origin, and quickly resolve those problems.
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LendingTree is the nation’s leading online marketplace that connects consumers with the choices they need to be confident in their financial decisions. The company empowers consumers to shop for financial services the same way they would shop for airline tickets or hotel stays, comparing multiple offers from a nationwide network of over 500 partners in one simple search. LendingTree offers services including mortgage loans, mortgage refinances, auto loans, personal loans, business loans, student refinances, credit cards, and more. Through the My LendingTree platform, consumers receive free credit scores, credit monitoring, and recommendations to improve credit health. LendingTree’s purpose is to help simplify financial decisions for life’s meaningful moments through choice, education, and support.
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LendingTree had already adopted Sumo Logic’s cloud-native offering for machine data aggregation. The next phase involved ingesting logs, metrics, and events from their Kubernetes implementation and displaying relevant information within Sumo Logic. This allowed all Kubernetes-related information to be available from one consistent set of Sumo Logic dashboards, facilitating the strategic migration to a multi-cloud environment. This transition enhances fault tolerance across LendingTree’s entire cloud infrastructure, enabling alternatives from AWS, Microsoft Azure, Google Cloud Platform, and even bare metal servers. Sumo Logic’s independence and ability to consume machine data from all these platforms yet showcase it in a consistent manner put LendingTree in a more flexible and stronger negotiating position.
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Sumo Logic’s implementation allowed LendingTree to gather, manage, and analyze machine data throughout their environment, reducing the number and severity of service disruptions.
Adding Kubernetes to the mix provided a single point of reference for all Kubernetes-related information, enhancing fault tolerance across the cloud infrastructure.
The transition to a multi-cloud environment enabled LendingTree to identify the most effective and cost-effective cloud computing vendors.
LendingTree saved millions of dollars each year by reducing the number and severity of service disruptions.
The company expects to shave between 10 and 20 percent each year from its cloud hosting expenditures.
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