Download PDF
E-Commerce Platform Increases Resilience at Scale with Datadog and AWS
Technology Category
- Application Infrastructure & Middleware - Data Exchange & Integration
- Infrastructure as a Service (IaaS) - Cloud Computing
- Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Cloud Planning, Design & Implementation Services
- System Integration
The Challenge
Neto was looking to move its existing legacy infrastructure to the cloud in order to drive automation and support their customers’ growth. However, their existing monitoring tools were unable to scale dynamically and could not track services across ephemeral infrastructure components. This posed a challenge as they needed a monitoring solution that could provide real-time visibility across a highly-automated environment. Prior to moving to the Amazon public cloud (AWS), maintaining and scaling Neto’s legacy infrastructure was slow, reactive, and prone to technical difficulties. Neto’s infrastructure environments often drifted out of sync, making it hard to increase capacity or deploy changes to production without engaging in manual, time-consuming processes.
About The Customer
Neto is a retail management solution that allows retailers to run their web store, point of sale, inventory, and fulfilment operations through a central platform. With Neto, retailers can future-proof their businesses in an increasingly competitive industry by delivering exceptional customer experiences via any channel—be it in-store, online, or through a marketplace. Neto’s customers rely heavily on the health of Neto’s infrastructure, which must scale often to support customers’ web stores and business management tools. Failure to meet the capacity needs of customers could result in degraded service and render retailers unable to capture sales or properly manage inventory during their most lucrative, high-traffic times.
The Solution
Neto enlisted Datadog to ensure that their application and assets were transferred with minimal customer impact, and that Neto’s newly automated platform remained reliable and performant once in production on the cloud. Datadog’s ability to collect metrics from both of Neto’s environments and then display the health of every host and service in a single interface—regardless of where they were running—meant that Neto never experienced a lapse in visibility or platform reliability during their migration. In Neto’s new cloud infrastructure, Datadog helps support Neto’s overall automation efforts by monitoring new hosts as soon as they come online, allowing Neto to track the health and performance of any service, as it scales, at a glance. Neto deploys the Datadog Agent through Terraform, which they use to automatically provision and configure their dynamic infrastructure.
Operational Impact
Quantitative Benefit
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.
