List of Sumo Logic Sensu Customers
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Since 2010, our global team of researchers has been studying Sumo Logic Sensu customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Sumo Logic Sensu for Application Performance Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Sumo Logic Sensu for Application Performance Management include: Ericsson, a Sweden based Manufacturing organisation with 89898 employees and revenues of $26.79 billion, Box, a United States based Professional Services organisation with 2810 employees and revenues of $1.09 billion, Doximity, a United States based Healthcare organisation with 830 employees and revenues of $570.0 million and many others.
Contact us if you need a completed and verified list of companies using Sumo Logic Sensu, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Sumo Logic Sensu customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight | Insight Source |
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Box | Professional Services | 2810 | $1.1B | United States | Sumo Logic | Sumo Logic Sensu | Application Performance Management | 2015 | n/a | In 2015, Box implemented Sumo Logic Sensu as its Application Performance Management platform to support IT operations and DevOps. The deployment replaced Nagios and was configured to monitor over 30,000 hosts across multiple datacenters in the United States, aligning with Boxs infrastructure modernization and cloud initiatives. Sumo Logic Sensu was provisioned with a focus on horizontal scaling and an event-driven monitoring pipeline. Configuration emphasized lightweight agents, event pipelines and handler-driven remediation, and the narrative infers use of Sensu modules to bind infrastructure monitoring with application performance monitoring workflows. Integration work explicitly included a Wavefront metric pipeline integration to centralize metrics ingestion and correlation, and inferred module usage to bridge Sensu monitoring with broader infrastructure and APM tooling. Operational scope covered IT operations and DevOps teams across Boxs U.S. datacenter footprint, consolidating alerting, metric flow, and automated remediation capabilities. Governance and rollout followed a datacenter-by-datacenter expansion to establish a consistent monitoring fabric, and the implementation enabled horizontal scaling and automated remediation to reduce operational overhead as stated in the case study. The deployment narrative positions Sumo Logic Sensu as the Application Performance Management backbone for Boxs infrastructure monitoring and operational responsiveness. | |
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Doximity | Healthcare | 830 | $570M | United States | Sumo Logic | Sumo Logic Sensu | Application Performance Management | 2016 | n/a | In 2016, Doximity deployed Sumo Logic Sensu as its Application Performance Management solution. The implementation aimed to provide scalable monitoring across a hybrid multi cloud environment including AWS, VMware and DigitalOcean for Doximity's healthcare platform, supporting IT operations and DevOps teams in the United States, with prior monitoring tools including Nagios and Icinga noted in the case context. Sumo Logic Sensu was implemented with a focus on event monitoring, alerting and automated remediation workflows, leveraging Sensu remediation features and a developer friendly framework to reduce noisy alerts. Configuration emphasized checks and handlers that enabled automation of common fixes, shifting routinely handled incidents into scripted remediation paths and reducing paging for engineering and on call teams. Operational coverage centered on cloud and VMware infrastructure, addressing monitoring needs across compute and virtualized environments, and integrating with DevOps processes to make monitoring and remediation developer accessible. Governance and rollout prioritized embedding remediation into operational playbooks and enabling developer owned fixes, supporting cross functional incident handling between IT operations and DevOps. Outcomes described in the case context include reduced paging and the enablement of automated fixes through Sensu's remediation capabilities, delivering more scalable monitoring across the hybrid multi cloud estate. This deployment positioned Sumo Logic Sensu as the Application Performance Management platform for Doximity's infrastructure monitoring and operational automation. | |
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Ericsson | Manufacturing | 89898 | $26.8B | Sweden | Sumo Logic | Sumo Logic Sensu | Application Performance Management | 2019 | n/a | In 2019 Ericsson implemented Sumo Logic Sensu to centralize monitoring across its heterogeneous infrastructure, positioning Sumo Logic Sensu within the Application Performance Management category. The deployment targeted IT operations and DevOps process areas and was scoped to Sweden for operational rollout. The implementation objective was to unify monitoring data streams and reduce fragmentation across observability tools. Sumo Logic Sensu was configured as a central orchestration layer integrating Prometheus for metrics scraping, AppDynamics for application performance telemetry, Kubernetes for container orchestration, cloud environments such as AWS and Azure, and mainframe monitoring endpoints. Functional capabilities implemented included event aggregation, rule based filtering, normalization of telemetry, and automated remediation triggers, with Sensu acting as the glue to correlate signals across systems. These configurations leveraged Application Performance Management workflows to link APM traces with Prometheus metrics and event data. Integrations were explicit at the APM and Prometheus layers, enabling correlated alerts and handoff into automated remediation playbooks to reduce operator fatigue. Operational coverage encompassed DevOps teams and IT operations in Sweden, supporting cross functional incident workflows between application teams and infrastructure operators. Governance focused on centralized alerting, standardized incident response procedures, and remediation orchestration through Sensu, which required process changes to route alerts and remediation actions through the new platform. The case study describes APM and Prometheus integrations and highlights automated remediation and reduced operator fatigue as observed outcomes. |
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