List of Komodor Customers
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Since 2010, our global team of researchers has been studying Komodor 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 Komodor 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 Komodor for Application Performance Management include: Lusha Systems, a United States based Professional Services organisation with 345 employees and revenues of $61.0 million, BioCatch, a Israel based Professional Services organisation with 170 employees and revenues of $17.0 million, Section B, a Mexico based Professional Services organisation with 30 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Komodor, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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BioCatch | Professional Services | 170 | $17M | Israel | Komodor | Komodor | Application Performance Management | 2024 | n/a |
In 2024 BioCatch implemented Komodor to support large-scale Kubernetes operations across Israel and its global operations, focusing on SRE and DevOps teams within engineering and platform operations. The deployment positioned Komodor as the company's Application Performance Management solution for Kubernetes observability and incident management, with an explicit goal to reduce operational toil and accelerate troubleshooting across distributed clusters. Implementation intent emphasized operational scale and centralized visibility rather than single-cluster tooling changes.
Implementation work concentrated on Application Performance Management capabilities common to Kubernetes environments, including consolidated cluster visibility, event correlation to surface root cause signals, and automated workflows to streamline incident triage. Komodor was configured to centralize telemetry and surface contextual traces for engineers, enabling structured troubleshooting handoffs and fewer manual investigation steps. Configuration also aligned alert enrichment with SRE on-call processes to reduce repetitive diagnostics.
The rollout covered Israel and global operations and was scoped to engineering, platform operations, and SRE teams, standardizing troubleshooting across distributed Kubernetes clusters. Operational adoption prioritized consistent incident handling and reduced escalation paths for platform engineering and DevOps staff.
Reported outcomes from the Komodor implementation included an approximately 67% reduction in mean time to resolution, about 83% fewer escalations to DevOps, and roughly 50 DevOps hours saved per week, directly supporting the objective of lowering operational toil for SRE and DevOps teams.
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Lusha Systems | Professional Services | 345 | $61M | United States | Komodor | Komodor | Application Performance Management | 2024 | n/a |
In 2024, Lusha Systems adopted Komodor as its primary incident response and troubleshooting platform, positioning Komodor within Lusha Systems' Application Performance Management toolset for Kubernetes operations. The implementation established a single access point into Kubernetes for developers and created a central incident management locus for engineering teams, aligning the application with core Application Performance Management workflows such as triage, root cause orientation, and incident orchestration.
The deployment focused on enabling shift-left operational work, moving day to day troubleshooting responsibilities from DevOps into engineering, and configuring Komodor to support developer-led triage and remediation workflows. Functional capabilities emphasized during rollout included incident response orchestration, troubleshooting visibility across clusters, and developer access patterns that reduced dependencies on centralized operations during incidents.
The implementation had U.S. and global coverage and was embraced across engineering teams as the central tool for Kubernetes incident management, affecting developers, DevOps, and site reliability practices. Governance changes included formalizing Komodor as the canonical incident workflow platform and shifting handoff procedures to prioritize developer autonomy and faster triage. Outcomes explicitly reported by Lusha Systems included improved developer autonomy and reduced mean time to resolution, with Komodor serving as the primary Application Performance Management platform for Kubernetes incident handling.
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Section B | Professional Services | 30 | $1M | Mexico | Komodor | Komodor | Application Performance Management | 2024 | n/a |
In 2024, Zubale implemented Komodor for Application Performance Management. The deployment targeted Zubale’s DevOps and engineering teams in Mexico and across Latin America, focusing on improving Kubernetes troubleshooting, cluster visibility, and role based access control to speed investigations and reduce escalations.
The implementation configured Komodor to deliver continuous Kubernetes observability and investigation capabilities, including event and change timelines, alert correlation, and incident investigation workflows that shorten diagnosis paths. Role based access control was applied to align platform visibility with engineering and operations responsibilities while preserving cluster security.
Operational coverage centered on DevOps and engineering organizations, instrumenting Zubale’s Kubernetes clusters and embedding Komodor into on call and escalation processes to reduce handoffs. The rollout spanned teams across the Mexico and Latin America region and supported both tactical troubleshooting and day to day operational visibility.
The Komodor Application Performance Management deployment produced measurable outcomes including an approximately 63% reduction in MTTR, 48% fewer tickets, fewer escalations due to role based access control, and significant weekly DevOps hours saved. These outcomes reflect the combination of enhanced Kubernetes visibility, investigation tooling, and governance changes implemented during the rollout.
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