LogicMonitor

GCISD, a technology-forward district in Grapevine, Texas, with around 14,000 students and 1,800 staff, faced the challenge of managing an average of 40,000 devices online at any given time. The district had a 1:1 device policy and a BYOD policy, which led to the need for a secure observability platform that could provide best-in-class network monitoring, support all the technology systems they used every day, and offer robust alerting and forecasting systems to solve problems before they impacted teachers and students. Prior to using LogicMonitor, the district used several tools for monitoring networks and pulling logs, which was time-consuming and inefficient.

Q2 Holdings, a company that develops innovative financial services solutions for banks, credit unions, and emerging financial services providers, was seeking a monitoring solution that was easy to maintain, simple to use, and adaptable to new technologies. Rapid innovation is key to Q2’s mission, so the firm also needed monitoring to support its Nomad cluster manager and scheduler for developers using microservices and batch workloads. For banks and credit unions, fast, secure transactions are critical. Therefore, a reliable and efficient monitoring solution was crucial for the company's operations.

Peach, a media technology company, was struggling with the complexity of modern advertising landscape. The company's mission is to automate and optimize communications between different parties in the advertising workflow. However, the fragmentation in the video advertising industry was making this mission difficult. Peach was using an open-source system that was hard to configure and set up, adding to the complexity. The company had to manually maintain, upgrade, and update a mission-critical piece of their operations constantly, which was time-consuming and risky. Peach needed an enterprise IT platform that provided automation, optimization, and full-stack observability over their entire multinational operation.

Bupa, a healthcare leader in Australia and New Zealand, was facing challenges in managing its vast network infrastructure, especially after completing a series of acquisitions in 2017. The company was using multiple different tools across different organizations for monitoring, leading to inefficiencies and increased costs. The IT team recognized the need to consolidate these tools into a single, more efficient solution that could potentially be used across all their organizations. The goal was to streamline network operations, save money, and improve management efficiency.

The Loyola University Maryland Technology Services Department's Network Services group is tasked with maintaining an increasingly distributed IT infrastructure. This infrastructure supports a variety of campus services, including Internet access and security systems, for the 4,000 undergraduate students, 2,000 graduate students, faculty, and staff that rely on them. One of the key challenges to managing an increasingly distributed network is maintaining visibility. As the team scales and the environment becomes more spread out geographically, sharing knowledge about device configurations between team members becomes critical to network health. Configuration changes are part of standard troubleshooting but they're typically not the first thing a team checks during an outage.

VPay, a financial services organization, was reliant on a legacy system that was not keeping up with growth and required manual processes. The IT operations team was using Zabbix for basic CPU monitoring and a daily 144-line checklist. Four operations admins would spend eight hours going through this checklist each day to ensure that a complex infrastructure comprised of both legacy and modern systems was up and running. The IT team had zero visibility into network and server uptime. When an outage or problem occurred with the processing and delivery of payments, they would learn about it via customer complaint. As a result, Shane’s team was putting out as many as 30 P1 issues per month. The unreliability of VPay’s existing monitoring system was not sustainable.

The transition from on-premises IT infrastructure to cloud-based infrastructure has changed the way service providers deliver value to their customers. The goal in a datacenter environment is to ensure IT resources stay up and running. Today’s service provider solves this challenge even when they are not directly managing many elements of the infrastructure—particularly with cloud resources. Service providers have to be efficient at troubleshooting—a task made more difficult by the diminishing direct control they have over IT infrastructure brought by the transition to the public cloud. In today’s environment, service providers are finding it imperative to have tools to collaborate with cloud providers and other partners, on whom their ability to deliver IT resources to their customers depends.

Triton Management Services, LLC, a company owned by Aladdin Group, provides legal services and bonds across the United States. The company, which employs about 600 people, is relatively small, and its IT department is primarily focused on keeping costs low and staying within budget, while still ensuring the delivery of quality data. However, due to budget constraints, Triton was unable to expand its IT team. This posed a significant challenge as the company needed to establish a unified observability platform to save time and money. The challenge was to find a solution that would allow them to maintain a small team, keep costs low, and still deliver quality data.

RaySearch Americas is a medical technology company based in Stockholm, Sweden, that is advancing cancer treatment through their pioneering software. They work closely with leading cancer centers to bring scientific advancements to the clinical world faster and support thousands of clinics worldwide. However, as RaySearch grew, they found their existing IT infrastructure was inefficient and time-consuming when it came to troubleshooting. A significant amount of time was spent looking through logs to find issues, which hindered work on system upgrades and ensuring a good user experience. RaySearch’s IT infrastructure needed three things: observability, root cause analysis, and faster time to resolution.

Lucy Group is a diversified international group with businesses across several sectors and operates in over sixty countries. The Group depends on the availability and performance of its IT and networking infrastructure, which is located in data centers spanning the globe. Before switching to LogicMonitor, Lucy Group used a number of locally managed monitoring tools to keep systems up and running. However, there was no single overview of the infrastructure as a whole, making it hard to efficiently manage their global infrastructure. As the group scaled its infrastructure to meet increased customer demand, a centralized monitoring system became essential to bridging the gap between technical and service delivery teams by providing visibility across the entire global infrastructure.

Idea 11, an Australian IT company specializing in digital transformation, cloud infrastructure, software development, and managed services, was facing a challenge with its previous monitoring tool, PRTG. The tool required extensive manual labor and was not able to scale with Idea 11’s rapid growth. The company was growing by 50% year-over-year and needed a more cloud-centric monitoring solution that could scale with its growth. The company was looking for a single SaaS-based monitoring platform that could provide a single pane of glass for monitoring and allow the business to better serve its customers.

NTT Com Managed Services, a global managed services provider, required granular visibility into its IT environment, along with current, accurate configuration data. The provider relied on its ServiceNow configuration management database (CMDB) to provide a single system of record for its IT organization. However, to gain the level of insight required across all these environments, NTT needed a monitoring solution that was tightly coupled with its CMDB. Its existing monitoring system provided some automation but supported only one-way integration with the ServiceNow CMDB. To fully connect the two systems, NTT had to manually specify in the CMDB system the specific components that would be tracked in its monitoring platform.

Logicalis, a global information and communications technology (ICT) Infrastructure and Service provider (MSP), was facing a significant challenge in their customer onboarding process. The company offers a wide range of services including Cloud, SD Wan, Containers, DB’s and more to their customers around the world. However, the onboarding process was lengthy and complex, often taking up to a month to complete. The process involved level 1 engineers manually deploying and configuring devices, with heavy reliance on Level 2 or 3 engineers for advice on thresholds. This time-consuming process led to many inconsistencies and gaps in monitoring, as well as a delay in time to value, a critical factor in the highly competitive MSP industry.

Louisiana State University (LSU), with its 35,000 students and over 250 buildings, operates a Network Operations Center (NOC) that runs 24/7, 365 days a year. The university experiences a significant network spike every August when students return to campus. The cyclical nature of this demand presents challenges for the NOC team, who are expected to provide 100% connectivity and uptime across a large environment. To improve visibility and provide a more proactive monitoring experience, LSU needed a unified observability platform that could handle their growing hybrid environment, quick anomaly detection, and automation. As LSU moved towards a modern hybrid IT infrastructure, with some resources remaining on-premises and others in the cloud, the team needed to ensure that their business was functioning properly, getting ahead of any bottlenecks, and delivering top quality service.

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.

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.

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.

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.

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.

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.

Abrigo is a financial technology firm that provides software solutions to financial institutions in the financial crimes and credit and lending space. They offer their customers a robust product set, including hosting critical websites in their data centers. Operating in the financial technology space, Abrigo has seen the need to provide and support software through constant evolution and innovation to meet regulatory demands, especially as they grow to support larger financial institutions. When beginning the search for a unified observability and monitoring platform, Abrigo wanted to eliminate tool sprawl and reduce alert fatigue by finding a single solution that could help them improve uptime and customer experience while monitoring their diverse internal and customer infrastructures through a single pane of glass. Security was a top concern, as well as avoiding vendor lock-in. They needed a platform that would improve key metrics while providing more resilience and automation.

iVision, a provider of fully managed enterprise-class technology infrastructure, applications, and solutions, was facing a significant challenge with configuration changes. These changes accounted for a large number of performance-impacting events, especially considering they were dealing with co-managed infrastructures spread across multiple customer locations. Prior to using LM Config, iVision used a mix of vendor-specific and third-party configuration management tools to manage networking equipment and web servers. They needed a solution that would provide visibility into configuration changes and reduce the time spent on root-cause analysis during a disruption.

HID Global, a leader in secure identity offerings, was moving towards the cloud and had migrated most of its legacy applications into Amazon Web Services (AWS). However, the company lacked the visibility it needed to monitor its Kubernetes clusters and their containerized applications, making it difficult to assure performance and availability. The company had tried monitoring its environments with Prometheus and Grafana, but only made limited progress. HID Global needed a solution to monitor all the elements across its hybrid IT infrastructure, as well as its containerized applications, from a single pane of glass.

Retune, a leading IT company in Sweden, was facing challenges with its previous monitoring tool that was not suitable for Managed Service Providers. The tool required eight servers for monitoring and the process of onboarding new customers was slow and cumbersome. The tool was also generating too many alerts and integration was difficult. Moreover, the tool was not scalable enough to keep up with Retune's growth. The company was in need of a more efficient and scalable solution that could provide a single pane of glass monitoring platform.

Alfun, a France-based Managed Service Provider (MSP), aimed to expand its customer base by over 50% annually and migrate a higher number of customer workloads to Azure. However, their previous monitoring solution for both on-premises and Azure resources was inefficient, taking up to a week to onboard new customers. The solution also lacked dashboard visualization for key technologies, which was a significant drawback. Alfun had attempted to create dashboards in the past, but the initiative was abandoned due to the high manual effort and complexity involved.

Bachem Holding AG, a Swiss technology company operating in the fields of chemistry, biochemistry, and pharmaceuticals, was facing a significant challenge with alert fatigue. The company, which develops products and services for the pharmaceutical and biotechnology industry and research, was receiving over 2,000 alerts over a 30-day period. This overwhelming number of alerts resulted in one member of the IT team spending 15 hours per week sorting through alerts to determine what was of critical status. The excessive alerts were not only time-consuming but also led to a reactive approach to problem-solving, which was inefficient and counterproductive.

CMA Technology Solutions, a Managed Service Provider (MSP) based in Louisiana, specializes in monitoring and providing end-to-end software and hardware solutions for their clients. However, they faced a significant challenge when they switched their antivirus software to SentinelOne. The new software led to overload issues on their virtual machines (VMs), causing them to go offline unexpectedly. This unexpected downtime not only put CMA's Service Level Agreements (SLAs) with their clients at risk but also increased the potential for security vulnerabilities. The situation was critical as it threatened the company's reputation, client relationships, and overall security infrastructure.

Merkle, a leading data-driven customer experience management (CXM) company, faced a significant challenge with their existing monitoring platform. One of their key teams, based in India, operated with a completely different infrastructure than the rest of the company. This unique infrastructure made it difficult for Merkle to gain visibility into the team's operations without causing significant disruptions to their entire IT environment. This lack of visibility was a major concern for the executive leadership team, who were keen on resolving this issue to improve operational efficiency and maintain a consistent level of service across all teams.

The Data Engineering (DE) team at Ohio Public Employees Retirement System (OPERS) was responsible for scheduling downtime and maintenance for their large-scale server environment. These servers were crucial for handling critical processes and applications for the business organization. The DE team had to ensure that when a server was taken down for maintenance, the remaining servers could handle the workload efficiently. However, the team lacked visibility into utilization trends or graphs depicting peak usage hours on the servers. This lack of information led to assumptions about server load handling, resulting in significant lags across the business and service delays. Additionally, the DE team was often requested by internal customers, such as operations, finance, and executive management, to provide reports explaining why certain servers were taken offline for maintenance.

VectorUSA, a managed service provider based in California, was facing significant challenges with their internal data center located in Rancho Cucamonga. The company was experiencing connectivity issues with their Internet Service Provider (ISP), and their on-premises monitoring solution was not alerting them to these problems. This lack of alerting posed a significant risk, as any system downtime in the middle of the night could result in the loss of valuable data or service for their customers. The company needed a solution that could provide external alerts when an ISP issue occurred, thereby preventing potential data loss and service disruption.

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.