Vulcan, a privately held company founded by Paul Allen and his sister Jody in 1986, was facing a significant challenge with their payroll processing. The HR team responsible for payroll was experiencing issues with the printers used for printing payroll checks. The printers were frequently going down, and without any monitoring system in place, the only way to identify this issue was by physically checking each printer. This method was not only time-consuming but also led to delays in identifying the problem, which in turn caused delays in the printing and delivery of checks. The IT team was tasked with investigating the issue and finding a solution to ensure the smooth operation of the printers.

Synoptek, a global systems integrator and managed IT services provider, had grown rapidly through acquisition. Each acquisition came with its own monitoring tools, leading to duplicate licensing costs and extensive tool sprawl. The company needed a single, comprehensive monitoring solution that could simplify existing processes, lower overall costs, and handle all of the organization’s monitoring needs. The challenge was to find a platform that could replace all the existing tools and be deployed quickly and easily.

Serenova, a provider of cloud contact center as-a-service, faced challenges in managing its hybrid cloud infrastructure that extends across six global data centers, with 3,000 devices and 7,000 cloud resources. As the company grew, its monitoring and management needs became more complex. The company was using multiple hand-built, open source tools for monitoring, which lacked proactive alerting and required multiple steps to find relevant information. This led to inefficiencies and difficulties in maintaining infrastructure health and gaining insight into performance.

West Monroe Partners, a rapidly growing multinational management and technology consulting firm, was facing challenges with its premises-based monitoring platform. The hardware requirements were prohibitively expensive, and upgrades were labor-intensive, requiring significant downtime. The support was unreliable, and the partnership with the vendor was diminishing. The firm was experiencing several outages with the incumbent tool, which was becoming the most expensive application to maintain. The firm needed a scalable, easy-to-deploy monitoring solution that could keep up with its 30 percent compound annual growth rate.

Ascham School, one of Australia’s oldest girls schools, was using a costly third-party service to monitor its infrastructure and provide support for their firewalls, networks, switches, and links. The IT team also used a dated on-premises monitoring tool that provided little insight into what was happening in their infrastructure. Without proper insight into their infrastructure, identifying and troubleshooting issues was time-consuming. Unnecessary network tickets were created, and there were over 500 live alerts at a time. The IT team also wasn’t able to pull data to create reports and dashboards, resulting in low visibility of IT infrastructure issues within the school.

Loyola University of Maryland, a Jesuit Catholic university located in Baltimore, Maryland, is home to 5,500 students across the main campus and three remote campuses. The Technology Services Department is the centralized provider of technology to the entire Loyola community, supporting applications, storage, security, connectivity, and all devices. The challenges of so many devices, combined with the importance of uptime and visibility, led Loyola to search for an observability platform after a radical redeployment of the university’s network. What started as a simple hub-and-spoke topology, where all services symmetrically overlaid the network elements themselves, was migrated to a flexible collection of virtual networks operating independently of each other to serve different constituents and functions. Because of this major network change, as well as an impending rollout of VoIP and the need to support new network-first facility safety devices, Loyola soon realized the mentality and capabilities of the native monitoring tools they had been using were not going to be enough. Loyola needed to minimize administrative overhead and day-to-day demands of an observability platform, as well as persistence in business continuity and disaster recovery type situations. Visibility was key to Loyola. If some or all of their services were disrupted, they didn’t want to waste precious time trying to bring those back up without any visibility into their environment. Loyola was also looking to the future when it came to its partnership with an observability platform. They were going to need to easily access not only their data but also their account team to make any changes to their evolving and growing landscape. Overall, Loyola needed a partner that would grow with them.

Infor, a global enterprise software provider, has a massive deployment in Amazon Web Services (AWS) to support their purpose-built applications. They leverage a wide range of AWS services, including more than 14,000 EC2 instances, ECS, ELB, EBS, RDS, Elasticsearch, Auto Scaling, Lambda, ElastiCache, and more. However, maintaining visibility into the more than 50,000 AWS resources supporting their application solutions is a significant challenge. Before LogicMonitor, Infor relied on several monitoring tools, but primarily used an agent-based system that required a significant amount of ongoing maintenance and configuration. With more than 14,000 EC2 instances, upgrading and configuring agents required substantial staffing investments. The frequent need to upgrade agents only during appropriate maintenance windows for such a huge fleet was a constant challenge. On top of that, updating an existing agent or adding a new agent to a host carried the risk of affecting other production processes and services on that host.

Gotransverse, a global organization with offices in the U.S. and Ukraine, provides cloud-based software that allows its enterprise customers to take advantage of usage-based pricing and monetization at a massive scale, through a subscription-based business model. The company utilizes approximately 30 different containerized services, spanning thousands of cloud resources using Amazon Web Services (AWS) infrastructure. To manage the complexity of its container-based applications spanning multiple servers, the company utilizes Kubernetes orchestration software, including AWS EKS. However, Gotransverse lacked visibility into the health and performance of its environment. Their previous solution offered minimal visualization around the data, leading to gaps in monitoring.

Computer Solutions, a leading provider of complex technology products and services throughout the South Texas region, was facing challenges with its existing monitoring system. The system was difficult to scale and could not ensure the resiliency that Computer Solutions required, making the firm vulnerable to major outages. As its legacy monitoring solution approached end of contract, Computer Solutions began looking for a better solution. A Cisco network infrastructure is the foundation for its managed service offerings, and Computer Solutions requires real-time insight into every element to ensure that its customers enjoy the best possible performance and availability.

Bandwidth is a cloud communications software company that helps enterprises like Google, Microsoft, Uber and Zoom connect people around the world with a global network and APIs for voice, messaging and emergency services. The challenges of scaling such a large environment illustrated the importance of visibility and immediate alerting. Bandwidth had grown to the point that its network monitoring tools couldn’t deliver the level of insights the team needed to support growth. Prior to using LogicMonitor, the team was spending about 31% of their time on extra work and configuration monitoring, and not enough time as needed on development, leading to inefficiency and opportunity costs. Bandwidth began to reevaluate its monitoring strategy and conduct a search for an observability platform that would provide the insights and forecasting needed to scale efficiently and proactively solve problems.

Loyola University Maryland, a distinguished university with over 9,000 daily active users, needed a significant network upgrade in 2011. The upgrade, known as the 'Next-Gen Network', resulted in elevated network standards and a diverse technology portfolio. However, the sophistication of the new network made the insufficiencies of its incumbent monitoring system immediately obvious. The university's monitoring capabilities were comprised of a patchwork of different tools for each system, which meant that strategic actions like actionable analysis, evaluation, and optimization had to take a back seat. The team could be spending up to 75 percent of its time on overhead just to keep monitoring tools and related systems running. The organization needed more visibility into the university’s now highly sophisticated infrastructure and an ability to scale that infrastructure without adding management overhead.

As iVision’s managed services business grew, the inflexibility of its existing cloud-based monitoring solution became an inhibitor. The legacy monitoring system lacked the flexibility to set individual monitoring standards for different managed clients. iVision’s engineers struggled to manage multiple clients from a single pane of glass, which threatened the company’s ability to maintain SLAs. Bringing the infrastructure of a new customer under management within the existing monitoring tool was an additional sticking point. It took iVision engineers at least a month to get a new network properly instrumented. Integration with iVision’s IT service management platform was also poor. The incumbent monitoring tool’s connection points with iVision's existing service desk dropped intermittently, which led to slower response times by iVision support staff. In addition, no one paid attention to the legacy system’s dashboards because they were too difficult to configure and keep up-to-date.