Introducing Heka Insights Agent v0.1.0: Our First Release

We are shipping the first release of Heka Insights Agent.

Repository: ronin1770/heka-insights-agent

Heka Insights Agent is a lightweight Linux telemetry agent focused on a simple goal: collect host-level signals, normalize them into a consistent format, and make delivery flexible enough for different observability backends.

For this first release, we wanted to establish a solid base instead of trying to do everything at once. That means a working runtime, clear configuration, multiple exporter options, and a packaging story that makes installation easier on real Linux systems.

What Heka Insights Agent Is

At its core, Heka Insights Agent is designed to:

• collect essential Linux host telemetry
• normalize metrics into a consistent internal model
• keep collection separate from delivery
• support multiple backend paths without changing collectors
• stay lightweight enough for continuous runtime use

That separation is important. It means the agent is not tightly locked to one vendor from day one.

What Ships in v0.1.0

This first release includes several important pieces.

1. Linux host telemetry collection

The project collects core machine-level signals such as:

• CPU usage
• memory usage
• disk I/O
• runtime health-oriented metrics

The goal is to keep the foundation practical and extensible.

2. Multiple exporter paths

This release supports a small but meaningful set of delivery modes through EXPORTER_TYPE:

• console
• otlp_http
• datadog_otlp
• datadog_native
• newrelic_otlp

That gives teams a path to start locally, use standard OTLP HTTP delivery, or integrate with Datadog and New Relic using repo-supported configuration flows.

3. Strict runtime configuration behavior

One of the priorities in this release is predictable startup behavior.

Instead of silently accepting bad configuration, the runtime validates required settings and fails fast when critical exporter values are missing or malformed. That matters a lot for agents that are expected to run unattended.

4. Debian package build and install flow

This release also includes a Debian packaging path for Ubuntu amd64.

The package flow covers:

• a bundled executable under /usr/local/bin/heka-insights-agent
• a systemd service unit
• packaged runtime config under /etc/heka-insights-agent/.env
• log output under /var/log/heka-insights-agent/agent.log
• an interactive setup path for first-time installation

This is a meaningful step forward compared with a repo-only Python workflow, because it gives users a clearer route for installing the agent as a managed service.

5. Interactive setup flow

The packaged runtime includes a setup mode so installation is not just "copy files and figure it out yourself."

The setup flow is meant to help with:

• selecting exporter mode
• capturing required environment values
• writing packaged runtime configuration
• enabling and starting the service on success

That makes the first release much closer to something an operator can actually install and use.

6. Docs and test coverage around the exporter paths

We also shipped supporting documentation and test coverage for the exporter/runtime surface, including milestone-specific integration coverage for the Datadog and New Relic paths.

That does not mean the project is feature-complete. It means the base is being treated seriously.

Installation Direction

For release users, the install direction is now straightforward:

sudo dpkg -i heka-insights-agent_<version>_amd64.deb

If setup is interrupted, it can be resumed with:

sudo /usr/local/bin/heka-insights-agent setup

This first release is intentionally Linux-focused and packaging-aware from the start.

Why We’re Starting Here

There are already many observability tools in the market, but there is still room for agents that are:

• simpler to understand
• easier to extend
• less coupled to a single backend
• easier to package and operate on Linux hosts

The first release is about getting those fundamentals in place:

• collection
• normalization
• delivery options
• installability
• operational clarity

Open Source Repo

If you want to inspect the code, follow the release progress, or contribute:

• ronin1770/heka-insights-agent

What Comes Next

From here, the focus is to keep improving the agent in practical ways:

• deeper collector coverage
• stronger runtime hardening
• broader integration coverage
• more production-oriented examples
• continued packaging and rollout improvements

The important part is that the first release is no longer just an idea. There is now a concrete repo, a real runtime, documented exporter behavior, and a packaged install path to build on.