DrNetwork goes beyond Observability: it can tell you “you have THIS ISSUE HERE” and makes relevant network events and effects understandable to everybody.

Consulting Services

Zero configuration

DrNetwork detects and identifies application and infrastructure problems with zero—really zero—configuration.

Just throw it to any server, device, or Kubernetes cluster. It will discover the network connections, the processes and applications, and begin to monitor. When it detects a failure pattern, it will act and let you know what problem the system has and where. It will show you events happening in your network that you didn’t know they existed.


Automated detection and root cause identification

Move from Observability Only to Automated Detection and Root Cause Identification

Most DevOps, SRE, and IT teams spend too much time troubleshooting application and network issues. They have to work day and night.

One major reason for this time bottleneck is the sheer amount of Observability data available to teams that must be culled through to find the root cause of an issue. Observability metrics are helpful, but they still require hours and hours of time and knowledge to discern and act on the data.

Other solutions in the market only provide Observability in the form of hundreds of dashboards and terabytes of data. These dashboards and data then require an expert to analyze, debug, hypothesize, test, and find the possible root cause.

DrNetwork can tell you, “you have THIS ISSUE HERE”, saving your DevOps, SRE, and IT Operations teams hours, days, and even weeks of hard work identifying the root cause. DrNetwork is your expert.

DrNetwork aims to help these teams gain their time back and help ensure all of your systems are operating at maximum efficiency. It's time to move your DevOps, SRE, and IT teams from simple Observability to Automated Detection and Root Cause Identification.

Excellent for Kubernetes

With Endless Kubernetes Possibilities Comes Endless Kubernetes Problems

This reality of living chasing issues has been exponentially augmented in the flexible world of Kubernetes where you can easily create hundreds of clusters for applications made of services and hundreds or thousands of pods that communicate with each other.

For example, in AWS, with EKS, when one service or one pod in a service cannot communicate with a pod in another service or a pod in a different worker node, a DevOps needs to go deep into the network to understand every step in the communication between them. They need to deal with Kubernetes, hardware or virtual machines, and operating systems.

DrNetwork can be easily deployed in any Kubernetes cluster as a daemonset to automatically detect all pods and interfaces and begin to observe all connections. It can detect application and network issues and show where an issue is found in a human-friendly manner.

Use friendly network visibility to resolve datacenter issues

No one knows what’s happening down in the network

Today the network has become an even darker place. Like the depths of the ocean where nobody wants to go, you don’t know what’s happening there.

  • how applications are communicating,
  • if they are wasting resources,
  • if connections are failing because of configuration errors,
  • if they are underperforming for communication issues or badly programmed applications,
  • if bad agents are searching your systems for valuable assets.

However, in the network (and application communication) you have the ground truth of what’s happening in your system and any problem can be immediately discovered there.

We hope to find the problems in simple data like CPU and memory utilization, or in logs telling us of an error. Usually, only a few DevOps want to go to network details and network experts are scarce.

DrNetwork multiplies your network expert’s effect by making network events that really matter visible and understandable to everybody, even those with low networking expertise.

Great for every type of systems

DrNetwork is great for on-premise systems, legacy systems, and embedded systems running on Linux OS.

DrNetwork agent is developed in C/C++: it consumes a minimal part of computing resources and consumption is controlled. It’s efficient and self-controlled.

The agent focuses on the communication protocol between applications. This makes it independent of the application technology. It can monitor and detect issues in an application developed in Go or an application developed in C and even in COBOL. Only it is not useful for standalone applications. Today it only runs on Linux systems.