List of Kamon APM Customers
Since 2010, our global team of researchers has been studying Kamon APM 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 Kamon APM 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 Kamon APM for Application Performance Management include: ZOZOGOLF, a Japan based Retail organisation with 1738 employees and revenues of $1.44 billion, Chatwork, a Japan based Communications organisation with 465 employees and revenues of $54.0 million, Lichess, a France based Media organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Kamon APM, 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 Kamon APM 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Chatwork | Communications | 465 | $54M | Japan | Kamon | Kamon APM | Application Performance Management | 2018 | n/a |
In 2018, Chatwork deployed Kamon APM as an Application Performance Management solution to instrument backend services and centralize telemetry for engineering teams in Japan. The deployment focuses on JVM and Akka metric collection using Kamon telemetry components, feeding backend monitoring workflows used for incident investigation and ongoing performance tuning.
Kamon APM is configured to export telemetry via a datadog-reporter into Datadog, enabling metric ingestion into dashboards and alerting streams consumed by Chatwork engineers. The implementation centers on JVM and Akka instrumentation, integration of Kamon telemetry with Datadog, and operational use by engineering for incident response and performance analysis, forming a monitoring pipeline for backend systems.
|
 |
Lichess | Media | 10 | $1M | France | Kamon | Kamon APM | Application Performance Management | 2017 | n/a |
In 2017, Lichess instrumented Kamon APM as part of its developer monitoring stack within the lila-docker development environment for its Scala and Akka based platform. The repository documentation indicates this integration was targeted at local developer observability and operational debugging for the France based engineering organization, with implementation details captured alongside development tooling.
Kamon APM is configured to collect application metrics and traces from Scala and Akka application threads, aligning with standard Application Performance Management capabilities such as metric aggregation and distributed tracing. The lila-docker sources show Kamon metrics being emitted alongside Prometheus and InfluxDB, which implies a Prometheus reporter was used to export Kamon metrics into the broader local observability pipeline.
Integrations are limited to the monitoring stack reflected in the repository, specifically Kamon metrics used in concert with Prometheus and InfluxDB for development and local observability. Operational coverage is centered on engineering and DevOps workflows in development environments rather than a stated production rollout, with instrumentation embedded in the project containers and developer instances.
Governance and workflow effects are documented at the repo level, where Kamon APM instrumentation is part of the lila-docker configuration that developers clone and run for local testing and troubleshooting. This Lichess Kamon APM Application Performance Management adoption establishes an observability baseline for engineering and DevOps teams, tying application telemetry collection into everyday developer workflows.
|
 |
ZOZOGOLF | Retail | 1738 | $1.4B | Japan | Kamon | Kamon APM | Application Performance Management | 2021 | n/a |
In 2021 ZOZOGOLF implemented Kamon APM in the Application Performance Management category to instrument their Akka gRPC and Scala backend for the ZOZOMAT service, targeting backend engineering operations in Japan. The implementation centered on runtime instrumentation to surface request latencies and error signals for service-side processing paths, with Kamon APM deployed alongside application instances to capture spans and metrics at source.
Kamon APM usage included distributed tracing and metrics collection modules, inferred from span generation and trace enrichment described in the source. Instrumentation covered gRPC request handling, actor based concurrency traces typical to Akka, and latency histograms and error counters to support backend engineering diagnostics.
The deployment architecture routed Kamon generated spans and aggregated metrics to Datadog, integrating Kamon with Datadog to export spans and metrics to an APM backend for centralized analysis. This integration created a telemetry pipeline where local Kamon collectors emit tracing and metric payloads to Datadog for processing and visualization, enabling cross service correlation for the ZOZOMAT service.
Governance and operational change focused on observability driven workflows for backend engineering, with trace based root cause analysis and processing time measurement embedded into incident investigation practices. The project improved visibility into request latencies and errors and provided a structured telemetry feed into Datadog to aid root cause analysis for backend teams.
|
Buyer Intent: Companies Evaluating Kamon APM
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||