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Out of the dark: Observability shines the light on SAP’s multi-cloud environment
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
- Analytics & Modeling - Predictive Analytics
- Application Infrastructure & Middleware - Data Exchange & Integration
Applicable Industries
- Software
- Professional Service
Applicable Functions
- Business Operation
- Quality Assurance
Use Cases
- Predictive Maintenance
- Remote Asset Management
Services
- System Integration
- Training
- Data Science Services
The Challenge
Scaling to meet the requirements of their expanding customer base was a mammoth challenge. The increasing data residency demands of their constantly growing clientele were proving too much to handle for the legacy model of operations and deployment SAP Fieldglass had in place. This drove the decision to transition from SAP-operated on-premises data centers to a multi-cloud approach with hyperscalers to accommodate sharp changes in data volume and requirements–moving from virtual machine (VM) architecture to Kubernetes, from a legacy IT mindset to DevOps-oriented Agile delivery. With this drastic shift, SAP Fieldglass sought an observability solution that could support their transition to ensure reliability, performance, and security both internally and for millions of end-users.
About The Customer
SAP Fieldglass, part of the SAP family, is a leading provider of cloud-based Vendor Management System (VMS) solutions that help enterprises manage external talent and contingent workforces. Established in 1999, Fieldglass has the largest footprint in the VMS space, serving mainly the U.S. and European markets. Recently, there has been a shift in their growth pattern, with demand snowballing in regions outside their existing areas of business. SAP Fieldglass prides itself on a 99% customer retention rate and manages talent into the millions across 180 countries.
The Solution
SAP Fieldglass chose Sumo Logic to provide the continuous monitoring and security intelligence required in their ongoing transition. Sumo Logic’s powerful search and analytics engine was a huge draw, providing high-quality models with robust dimensions out of the box. This allowed SAP Fieldglass's highly skilled teams to focus on development and targeted problem-solving. Sumo Logic had all the components necessary to collect, ingest, and connect data already packaged and ready to go. The ease of implementation and the ability to monitor and visualize data allowed engineering teams to develop and release updates to the SAP Fieldglass app more efficiently. Sumo Logic Application Observability is part of a suite that helps SAP Fieldglass target and surpass ambitious availability goals in their Kubernetes infrastructure while maintaining critical KPIs like page load speeds.
Operational Impact
Quantitative Benefit
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