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About

The story

Born at NS1 Labs, Orb is a new kind of observability platform that makes it easier for operators and developers to gain a deeper understanding of their networks, distributed applications, and traffic flows in real time.

Orb integrates with your observability stack, providing dynamic orchestration of observability agents that extract business intelligence at the edge. The platform is completely open source, extensible, vendor neutral, and cloud native.

The components

The agents

Orb manages observability agents that collect network data from applications, systems, and edge locations (VMs, containers, servers) in real time. An agent acts as a sensor installed next to a data source so it can collect, analyze, and summarize information. You run agents on your edge locations and orchestrate them via the control plane.

While ingesting a high volume of information-dense data streams, the agents translate this information to deliver consumable, actionable datasets. Developers and network operators can view this data locally at the edge via the agent's command-line interface (CLI) and globally in a central database via a standard dashboard tool, such as Grafana.

The control plane

Orb combines concepts from edge computing, the Internet of Things (IoT), and high-throughput stream processing.

As an IoT-inspired cloud control plane, Orb connects a fleet of distributed observability agents (such as the open source pktvisor) deployed at the edge and gives you command over that fleet. In operating the control plane, you issue instructions to the agents, dynamically programming and re-programming them with data-collection policies to build different datasets in real time.

The features

Orb orchestrates network observability policies across a fleet of agents on the edge—providing you with lightweight, immediately actionable results.

  • Plugs into popular observability stacks, like Prometheus and Elasticsearch, as well as cloud storage and data pipelines
  • Built using a cloud-native, microservices-based architecture
  • Offers a self-hosted (via Docker Compose or Kubernetes) or a SaaS option

Orb focuses on edge analysis, preferring “small data”-style, actionable metrics over the collection and storage of terabytes of raw, inscrutable data.

  • Allows you to visualize and automate on data at the edge for a hyper-real-time local view or centrally in the cloud for a global view
  • Streamlines data collection and exporting back to the control plane where it is available for analytics, security, automation, etc.
  • Provides a single pane of glass across all sensors

Orb + pktvisor

Via Orb's user interface, you decide what data to extract from which agents. The resource-efficient, side-car style pktvisor observability agent performs edge analysis on network data streams.

This combination allows you to:

  • Adjust analysis and collection parameters dynamically across the entire fleet via a powerful control plane
  • Perform centralized fleet management, allowing you to configure heartbeats, tagging, and grouping for each of the pktvisor agents
  • Orchestrate dataset policies that specify the type of data to extract from each agent

In terms of metrics, pktvisor can capture DNS, DHCP, and L2/L3 network data via packet capture, dnstap, sflow, among other input methods.

For a complete list of metrics currently collected by pktvisor, look here.

To view a Grafana dashboard for visualizing pktvisor Prometheus metrics, look here.

Core Concepts

The concepts below comprise Orb’s architecture.

Agent

This is a sensor installed next to a data source at the edge so it can summarize, analyze, and collect information.

Agent group

This is a list of simple key/value pairs that match against agent tags to dynamically define a group of agents. For example, “region: US” will group all agents in the fleet that have this key/value set in their tags.

Fleet

This is a collection of agents that may be widely distributed and number in the tens, hundreds, or thousands—all of which are able to connect and contribute to the same observability system.

Policies

These are instructions sent to the agents to define how to collect metrics. It is backend-specific information needed at the edge.

Dataset

These are instructions that describe how specific agents in the fleet (matched according to a given agent group) should apply collection policies and where they should sink their data. Orb will manage many datasets concurrently.

Sinks

This is where you send the data. This is the system that collects the data and allows you to sync it to different locations. Currently, Orb supports Prometheus but will support more backends in the future.