Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- LogicMonitor Kubernetes Monitoring
Tech Stack
- Kubernetes
- Containers
- Azure Kubernetes Service (AKS)
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Retail
Applicable Functions
- Discrete Manufacturing
- Business Operation
Use Cases
- Factory Operations Visibility & Intelligence
- Predictive Maintenance
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
SPS Commerce is a leading provider of cloud-based supply chain management software. The company has been in operation since 2001 and has helped thousands of companies replace manual, time-intensive processes with automation. SPS Commerce operates the world's largest retail network, connecting over 75,000 organizations in the retail industry. The company handles more than $2 billion in gross merchandise value each day. At the core of its operations are 800 servers in production across multiple data centers. SPS Commerce manages, monitors, and troubleshoots hundreds of applications on these servers.
The Challenge
SPS Commerce is a leader in providing cloud-based supply chain management software to retailers, suppliers, third-party logistics providers, and partners. With the world’s largest retail network, SPS connects over 75,000 organizations in the retail industry together, handling more than $2 billion in gross merchandise value each day. At the heart of its operations are 800 servers in production across multiple data centers. SPS must manage, monitor, and troubleshoot hundreds of applications on those servers, and required an agile, scalable monitoring solution. Like many organizations, SPS is also adopting containers and Kubernetes container orchestration in production to drive more cost savings and accelerate development. To unlock the full potential of containers, they needed a solution that could also offer monitoring for Kubernetes clusters and the applications running within them.
The Solution
After evaluating and analyzing a variety of monitoring solutions, SPS Commerce deployed LogicMonitor. It provides automated hybrid infrastructure monitoring and analytics, enabling SPS to monitor, alert and report on the health of its entire IT environment. SPS shares the information from LogicMonitor across the company, giving more than 1,000 employees full visibility into the real-time performance of its cloud services. To get visibility into Kubernetes clusters and containerized applications, SPS utilizes LogicMonitor Kubernetes Monitoring. LogicMonitor provides a lightweight app that runs as a pod in the Kubernetes cluster. It listens to the Kubernetes event stream and uses a LogicMonitor API to add cluster resources (nodes, pods, containers, and services) into LogicMonitor to be monitored.
Operational Impact
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
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.