See the complete picture.
No code changes
Data gathered transparently from the operating system and service mesh.
Minimal CPU and network impact so you can deploy in production.
See beyond your application into cloud infrastructure and managed services.
Sub-second data on every connection yields accurate, specific events.
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Get the whole story.
Discover all service connections
Quickly identify new or unexpected dependencies or cross-zone, region, or datacenter interactions in your environment.
Automatically document your architecture
Approach each incident armed with a real-time, accurate architecture map showing every service dependency, annotated with location and version information.
Inform your team
Save and share accurate, up to date architecture views with your team. Transform new team members into system experts. Let service owners see their upstream and downstream dependencies.
Automatic, unsampled and in focus.
Isolate the dimension you care about
Break down metrics between pairs of services by dimensions such as zone, instance, and version to quickly narrow the search space.
Measure the top talkers
See what services are responsible for generating the most cross-zone, cross-region, and Internet traffic and running up your bill.
Drilldown to the infrastructure
Understand the reliability and performance of the network, cloud infrastructure, and managed services from the perspective of your services.
Customize your experience
Built-in and configurable dashboards capture service behavior from the app layer to the network infrastructure.
See what changed, everywhere.
Summarize your system
Quickly assess the overall health of the entire application, network, and infrastructure with a global view of service to service behavior.
Know where to start when things go wrong
Identify pairs of services with changes in error rates, latency, and traffic pattern across your entire architecture so you know where to look during an incident.
Alert your team when things change
Get notified via email, Slack, or Pagerduty when problems arise.
Automatically gather metrics and metadata about your application.
No code changes or instrumentation are required in your application. Flowmill’s eBPF tracing automatically captures network and application metrics and correlates them with service names, tags, and environment characteristics from your cloud provider, Kubernetes, ECS, or Docker.
Get insight from data within seconds without slowing down your application.
Flowmill agents operate with negligible overhead (less than 0.25% CPU / core and 1% network) so you can safely deploy in production without impacting your application. The Flowmill agent captures sub-second data on every socket without sampling.
The Flowmill service operates an extremely efficient processing pipeline that converts these measurements into service-based aggregate views and performs statistical analysis on them, turning data into insights in seconds.
Designed with security as a first principle.
Flowmill’s agents are passive components designed to never impact or compromise your systems. eBPF allows Flowmill to gather data on connections through a high performance, high resolution, but secure kernel interface. Additionally, Flowmill agents use pre-allocated memory to avoid memory leaks, and directional TLS to ensure secure communication.
Assess the health of the network and cloud infrastructure.
Flowmill’s approach to eBPF-based tracing provides visibility beyond the scope of your application. By monitoring every connection, it is possible to measure the impact of problems in the cloud infrastructure and managed services on every part of your application.