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22,657 case studies
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Ringling College of Art and Design Accelerates Student Creativity with High-Performance Computing and Powerful, Scalable DDN® Storage - DataDirect Networks Industrial IoT Case Study
Ringling College of Art and Design Accelerates Student Creativity with High-Performance Computing and Powerful, Scalable DDN® Storage
Ringling College of Art and Design faced a challenge of explosive data growth caused by high-resolution, digital file-based workflows. This created a demand for future-proof storage that could scale on demand. The college wanted to use technology to support art as a tool, so that students could be creative without having to manage technology or deal with interruptions to their work. A robust, reliable and transparent storage infrastructure was required to accommodate the college’s desire to give students seamless access to all their digital assets, regardless of platform or location. The college wanted to avoid the management, access difficulty, cost and complexity of siloed storage.
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Accelerate: Media & Entertainment - DataDirect Networks Industrial IoT Case Study
Accelerate: Media & Entertainment
MLB Network, a 24/7 TV network for baseball fans, was facing challenges in managing its vast baseball video archive. The network required a high-performance disk cache to support tape migration for the archive while accommodating 7,000 hours of new content ingested weekly. They also needed to simplify complex, concurrent workflows to ensure seamless support for up to 40 post-production jobs concurrently. The network was also looking for a technology that could suit the needs of two sports TV networks. The immediate challenge was moving LTO-4 content into a disk cache and then rewriting that content onto T10KD tapes, while simultaneously recording and archiving new footage onto the T10KD platform.
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Changing Research with a Forward-Looking AI and Big Data Computing Infrastructure - DataDirect Networks Industrial IoT Case Study
Changing Research with a Forward-Looking AI and Big Data Computing Infrastructure
Tokyo Institute of Technology (Tokyo Tech) was faced with the challenge of speeding up data access times in parallel with continually improving algorithms that interact with data subsystems. They aimed to achieve this while maintaining optimal power consumption and system efficiency. The institution sought to break away from the conventions of the world's top supercomputers by incorporating elements and design points from containerization, cloud, artificial intelligence (AI), and Big Data.
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Textile Manufacturer Becomes “Part of the Fabric” of Their Supply and Demand Chains - Cleo Industrial IoT Case Study
Textile Manufacturer Becomes “Part of the Fabric” of Their Supply and Demand Chains
Mount Vernon Mills (MVM) is a diversified manufacturer of textile and related products for various markets. They have a central philosophy of doing whatever it takes to satisfy the customer, which includes end-to-end automation of the exchange of complex business processes and transaction data. However, they faced challenges with their legacy EDI system which had become extremely expensive in terms of labor for the custom code needed to both use and maintain the software system. They also had to deal with 'Swivel Chair Integration', a time-consuming and error-prone process of manually transferring data from one application to another.
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Woodstream Discovers the Better Mouse Trap - Cleo Industrial IoT Case Study
Woodstream Discovers the Better Mouse Trap
Woodstream, a provider of wildlife and pest control systems, lawn and garden products, and pet supplies, was informed by their legacy EDI system provider that their product would no longer be supported. This meant that Woodstream would have to go through a complete conversion and platform change to use the vendor’s supported solution. As the team was establishing requirements for a new system, they uncovered needs beyond traditional EDI. They needed an automated way to accept and integrate formats such as spreadsheets, flat files, and XML. They also pinpointed a need for A2A integration to automate and synchronize sharing of data between disparate applications and platforms for better reporting and improved internal business processes.
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Citizen's Rapid Response to Demands with EXTOL EDI Integrator - Cleo Industrial IoT Case Study
Citizen's Rapid Response to Demands with EXTOL EDI Integrator
Citizen, a market leader in the mid-priced watch category in North America, was facing a challenge in responding to the demands of internal departments and external customers and partners quickly and cost-effectively. Their legacy EDI system was not efficient enough and required custom code for operations, which was time-consuming and lacked data visibility.
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B2B Integration Puts Maple Leaf Farms Light Years Ahead of Competition - Cleo Industrial IoT Case Study
B2B Integration Puts Maple Leaf Farms Light Years Ahead of Competition
Maple Leaf Farms, America’s premier producer of quality duck products, has thousands of customers, ranging in size and type from large retailers and food suppliers, to small Chinatown restaurants and markets. While the restaurant owners may not use EDI and business integration, most of Maple Leaf’s customers rely on it for accuracy, speed and efficiency. In fact, Maple Leaf has 100 trading partners, and sends and receives 2500 EDI transactions per month in more than a dozen different transaction formats. The challenge was to handle the high-speed exchange of B2B electronic trading documents and rapid set up of new trading relationships, but also facilitate automatic integration of these documents in the applications, systems and processes used by the company — without custom coded interfaces.
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C.R.England Case Study - Cleo Industrial IoT Case Study
C.R.England Case Study
C.R. England, the largest temperature-controlled carrier in the world, was facing a challenge in providing frequent, real-time communication and shipment status reports within the supply chain. The company needed to find a way to improve communication between trucks on the road, shipping, and customers, while also automating day-to-day EDI operations. The challenge was to do this quickly and cost-effectively.
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State of Iowa Case Study - Jitterbit Industrial IoT Case Study
State of Iowa Case Study
The State of Iowa's Department of Administrative Services (DAS) was tasked with maintaining a database of debtors within a vendor-offset program. This required the integration of data from both inside and outside the state's network. In 2007, legislation was passed allowing county and city agencies to add their debtors to the database, leveraging the state's data processing power to secure payments of locally oriented debts. This new program required the database to pull information from dozens of different file types. The challenge was that thousands of files from local agencies were inundating the database with incomplete files and mismatched data.
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Truckl.io - Jitterbit Industrial IoT Case Study
Truckl.io
The transportation industry is extremely fragmented with few standards and common practices. The flaw in the way supply chains have worked since biblical times is that every party in a transaction has partial data. By Truckl's metrics, 1 in 3 truckloads is flawed in some way. The shipment is late, or it never arrives. The order is partially shipped, or the wrong parts are sent. Nobody in the chain has all the data. In total, data gaps in the supply chain cost the world economy as much as $3 trillion. Mobile phone technology has the potential to correct this ancient flaw.
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RXBAR - Jitterbit Industrial IoT Case Study
RXBAR
RXBAR was experiencing rapid growth and needed to make their shipping process more efficient and automated to keep up with demand. The company was relying on manual processes to put shipment bids out to their trucking partners, which often led to delays. Data was not always available to sales and customer service representatives when they needed it most. This hindered internal adoption of the company's new Salesforce CRM system, making it even more difficult to accurately assess and improve the sales and shipping process. RXBAR needed to provide all departments with a 360-degree view of the product across all systems.
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Petzl Case Study - Jitterbit Industrial IoT Case Study
Petzl Case Study
Petzl, a company associated with adventure, exploration, and rescue, faced a challenge when they launched their B2B website. They needed an integration tool that would seamlessly connect their backend ERP system with their customer-facing portal. The goal was to provide retailers a real-time look at inventory availability without resorting to lengthy and complex hand-coded integrations. Additionally, they needed to connect ERP data with both the B2B customer-facing portal and Salesforce CRM, provide ongoing real-time synchronization of data, and provide a single view of all account data within Salesforce for access by sales team members.
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Integrating Risk and Incident Management - LogicManager Industrial IoT Case Study
Integrating Risk and Incident Management
Winona Health, a community-owned healthcare provider, was facing a challenge in managing over 3,000 incidents related to patient and visitor safety each year. The existing incident management software was not capable of integrating with the board-mandated Enterprise Risk Management (ERM) program. The separation of the incident management program from ERM was reducing the value of the program as incidents were manifestations of risk. The organization needed to track their risk mitigation activities back to their effort on hospital incidents to understand which controls were most effective and where to provide additional resources. The implementation of a new system presented logistical challenges as well. The client had just 45 days between signing their agreement with LogicManager and the end of their contract with the previous incident management solution. Any downtime in employees being able to report patient safety incidents would cause huge regulatory and liability concerns.
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Energizing Service Delivery Speed and Agility with Private Cloud Automation - Morpheus Data Industrial IoT Case Study
Energizing Service Delivery Speed and Agility with Private Cloud Automation
REN’s significant domestic and international growth coupled with a drive to further improve performance and quality of service lead to them commissioning two new datacentres in 2018 to host the country’s critical information and telecommunications systems. REN’s original datacentres were siloed, hundreds of kilometers apart, and focused on Disaster Recovery (DR) as the primary use case. Provisioning new applications or VMs took two to three weeks, involved stitching together disconnected technologies, and was both manual and error-prone. In addition, a focus on Virtual Machine (VM) provisioning rather than application architecture, a lack of telemetry and analytics, and the understandable difficulties of knowledge sharing amongst distributed employees and contractors gave the team at REN significant challenges as they tried to position themselves for future growth. Faced with technical debt and legacy processes, REN recognized the possibilities offered by implementing a unified approach to application orchestration and automation. Their new mission was to achieve a single end-to-end workflow with complete visibility to all stakeholders.
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Earning high marks with VM and Application as-a-Service for diverse university community - Morpheus Data Industrial IoT Case Study
Earning high marks with VM and Application as-a-Service for diverse university community
The large multi-campus state university had a diverse and open IT operations structure, with each college and administrative unit in charge of its local IT needs. A centralized IT services team focused on offering shared access to certain IT services, including hosted private cloud for dozens of groups and hundreds of end users. The university's virtual machine (VM) hosting service had built its own homegrown portal to serve the university. However, due to new IT priorities, the homegrown portal was no longer a key initiative moving forward. This triggered the need to find a new approach for self-service VM hosting and private cloud that was less brittle and easier to maintain. The IT team was ready to get out of the “wrench-turning” business of manually provisioning applications and VMs to university end users, many of whom had non-technical skillsets. These users often needed access to IT services after hours or on weekends and desired a self-service approach to provisioning. It was time to find a way to reduce service ticket volume, centralize hosted VM platforms, and up service delivery.
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Achieving Operational Visibility for all Development Teams - Datadog Industrial IoT Case Study
Achieving Operational Visibility for all Development Teams
MercadoLibre, the largest online marketplace in Latin America, was facing challenges with visibility into their distributed applications and dynamic hybrid cloud infrastructure. They had been using various open source tools to monitor their framework, but these disparate solutions made it difficult and time-consuming for them to correlate telemetry data from across their stack. The constant changes being made by separate teams in a shared hybrid cloud environment proved to be too dynamic for these basic monitoring tools to handle. They needed a tool that was purpose-built for monitoring multiple applications in a dynamic hybrid cloud infrastructure.
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Improving Staff Productivity by Providing Developers with a Workflow-Oriented Operational Monitoring System - Datadog Industrial IoT Case Study
Improving Staff Productivity by Providing Developers with a Workflow-Oriented Operational Monitoring System
As SimpleReach’s platform grew, teams began spending more time tracking and comparing performance metrics during infrastructural updates. Their existing open source monitoring tools created a disconnect between development and operations teams, making it difficult to assess the performance implications of frequent changes in the production environment. The underlying problem was a familiar one: a disconnect between development and operations. “The developers didn’t realize how the changes they were making were affecting the production environment,” Lubow recalls. “Some of the impacts were significant, and the need for frequent changes in both application and system software was making the situation untenable.”
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E-Commerce Platform Increases Resilience at Scale with Datadog and AWS - Datadog Industrial IoT Case Study
E-Commerce Platform Increases Resilience at Scale with Datadog and AWS
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.
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Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business - Datadog Industrial IoT Case Study
Provide a Flexible Solution to Suit a Service-Based Architecture and Scale With a Rapidly Growing Business
Airbnb, a leading community-driven hospitality company, faced the challenge of maintaining the reliability of their services while adapting quickly to new business opportunities. They developed a service-based architecture for some components of the site, while other components continued to be part of their main application. Separate engineering teams were created to support the separate components and features. Over time, they added many different systems for monitoring, some reporting to the central dashboard application, others being more standalone. This approach became difficult to scale, leading them to look for a comprehensive and more holistic operations performance solution.
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Partners Find a New Revenue Stream in the Datadog Marketplace - Datadog Industrial IoT Case Study
Partners Find a New Revenue Stream in the Datadog Marketplace
RapDev, a Boston-based technical consulting company, wanted to expand its integration and implementation service offerings to unlock more revenue growth potential. They saw an opportunity in the Datadog Marketplace to augment Datadog's existing monitoring capabilities by providing support for legacy OSs and internal IT. The challenge was to leverage the Datadog platform to implement projects and transformations at scale, diversify their customer base, and create a new revenue stream.
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Streaming Live Experiences to Millions, with Confidence - Datadog Industrial IoT Case Study
Streaming Live Experiences to Millions, with Confidence
Seven.One Entertainment Group, a leading player in Germany's multi-channel entertainment industry, was facing a highly competitive market with rapidly changing viewer habits. Users were moving away from traditional TV and towards video-on-demand and interactive, second-screen experiences. The company needed to execute with the agility that only DevOps practices could provide. However, the lack of a single monitoring tool that provided visibility over the entire application and enabled engineers to trace requests across services was hindering their DevOps mindset. Each team used its own monitoring solution, so no tool provided visibility over the whole application or enabled engineers to trace requests across services. This lack of adequate monitoring also made it challenging for Seven.One Entertainment Group to deliver live interactive shows, which draw up to 10 million simultaneous viewers online.
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Arc XP secures applications in production with real-time visibility from Datadog - Datadog Industrial IoT Case Study
Arc XP secures applications in production with real-time visibility from Datadog
Arc XP wanted to boost its security monitoring capabilities and its defense-in-depth strategy so it could quickly detect and respond to attacks on its web applications and APIs. As an organization with divisions that operate autonomously, Arc XP wanted a single source of truth that could enable more effective collaboration among its distinct teams. In addition, Arc XP needed to detect suspicious behavior in its customers' code. The Arc XP platform allows customers to run their own code inside the Arc XP application, creating a shared security responsibility model with Arc XP responsible for the platform and its customers responsible for its code.
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Materials Project of Berkeley Lab Uses Datadog Cloud Monitoring to Simplify Observability on AWS - Datadog Industrial IoT Case Study
Materials Project of Berkeley Lab Uses Datadog Cloud Monitoring to Simplify Observability on AWS
The Materials Project, a research initiative at Berkeley Lab supported by the US Department of Energy, wanted to make its materials research more accessible to a continually growing number of users by updating its monolithic website. The project’s computations drastically reduce the time for researchers to invent new materials, saving months or even years of painstaking work. However, as it scaled to meet US and global demand, its on-premises, monolithic stack strained to power both user and internal needs. The project also lacked insight into service usage and faults. Because the Materials Project is publicly funded, it needed an affordable solution to go along with the modernization of all aspects of its infrastructure stack for a microservice architecture.
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Auto & General drives reliability and enhances customer experience with Dynatrace - Dynatrace Industrial IoT Case Study
Auto & General drives reliability and enhances customer experience with Dynatrace
Auto & General Southeast Asia (SEA) was keen to accelerate its digital transformation, to make quality coverage more accessible. The group strives to provide best-in-class customer service and frictionless experiences at every touchpoint in its customers’ digital experience. Auto & General SEA therefore needed to proactively monitor the performance of the applications supporting its brands’ digital services, so it could optimize the customer experience and maximize conversions. To enable this, it needed a solution that could simplify the complexity of its technology stack and integrate with all major cloud platforms. It was also essential that its teams had a single platform providing end-to-end observability and real-time insights into customer journeys across services for both its major brands. This would be critical to its teams’ ability to understand all application dependencies and access precise answers into the root cause of any technical issues, so they could be resolved before users were impacted.
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G2 Tech Group Delivers Granular AWS Monitoring with LogicMonitor - LogicMonitor Industrial IoT Case Study
G2 Tech Group Delivers Granular AWS Monitoring with LogicMonitor
G2 Tech Group, a company focused on helping small and growing SaaS businesses leverage cloud services with managed DevOps, needed a comprehensive monitoring solution that could consolidate the tools needed to monitor hybrid and cloud environments. They were looking for a way to put all of their customers’ key data in a single platform, preventing the need to jump from CloudWatch for AWS resources to other tools for networking gear, storage appliances, databases, and other virtualization platforms. G2 Tech Group was also looking for a solution that would deploy quickly and automatically and require less configuration and ongoing maintenance than the open source options they were using. The open source platform offered some functionality but left little opportunity for their customers to access key info on their own and required much more ongoing development resources.
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MSP BlueBridge Networks Lands New Business with SaaS Monitoring Added to Its Arsenal - LogicMonitor Industrial IoT Case Study
MSP BlueBridge Networks Lands New Business with SaaS Monitoring Added to Its Arsenal
BlueBridge Networks, an Ohio-based datacenter and cloud managed service provider (MSP), was facing the challenge of monitoring complex, hybrid environments. Each of their customer environments included a unique array of equipment from several vendors. As a datacenter and cloud provider, they needed a monitoring solution that could cover both cloud-based as well as on-premises systems. Prior to adopting LogicMonitor, BlueBridge relied on several monitoring tools to cover the spectrum of monitoring needs. This came with considerable downsides. Each monitoring tool had its own user interface that had to be accessed separately, and data could not be easily consolidated or shared between monitoring systems. In addition, maintaining the monitoring systems was nearly a full time job as devices were added and removed and thresholds modified and updated.
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Sensirion goes from 12 incidents annually to near zero with LogicMonitor - LogicMonitor Industrial IoT Case Study
Sensirion goes from 12 incidents annually to near zero with LogicMonitor
Sensirion, a leading manufacturer of high-quality sensors and sensor solutions, was facing the challenge of monitoring information from multiple different sources due to the rapid speed of digitalization. The company had infrastructure across multiple sites and customers around the globe across multiple different time zones, making unifying Sensirion’s monitoring capabilities a complex task. The company was using a static legacy product with no auto-discovery and dependency recognition capabilities. Sensirion needed an enterprise IT platform that could help solve these problems with automation and built-in logic.
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Security7 Leverages LM Config for Efficient Device Configuration Management - LogicMonitor Industrial IoT Case Study
Security7 Leverages LM Config for Efficient Device Configuration Management
Security7, a Managed Security Services Provider (MSSP), was struggling with an in-house tool for managing device configurations. The tool lacked automation, making it slow and cumbersome to configure and deploy new devices. This inefficiency was affecting the company's ability to maintain a competitive edge in the industry. The company was in need of a solution that could streamline the configuration process, free up resources, and add value to their service offerings.
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SPS Commerce Accelerates Development Agility with Kubernetes Monitoring - LogicMonitor Industrial IoT Case Study
SPS Commerce Accelerates Development Agility with Kubernetes Monitoring
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.
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Carrier Partners with LogicMonitor in Path to Unified Observability - LogicMonitor Industrial IoT Case Study
Carrier Partners with LogicMonitor in Path to Unified Observability
Carrier Global Corporation, a global leader in building and cold chain solutions, was facing challenges with its hybrid infrastructure. The company had recently spun away from a former parent company and was involved in multiple mergers and acquisitions. This resulted in a mix of old and new architectures in their environment, including legacy architectures in their factories that needed to be removed. Carrier was looking to increase visibility into their growing hybrid environment, reduce Mean Time To Repair (MTTR), and proactively monitor their infrastructure through automation to identify and resolve issues as quickly as possible.
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