Self-Hosted Runner (Beta)

TROCCO jobs can be run on-premise or in a private network environment managed by the user
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Supports On-Premise and Intranet Data

If Docker containers are running, jobs can be executed on on-premise or private network virtual servers, enabling the transfer of data even within networks that are inaccessible from external connections.

Leverage Your Own Resources for Instant Data Transfers

Since your company's own resources are used when running jobs, you can load balance job execution without relying on cloud resources shared with other users.

Secure Data Transfers that Meet High Security Standards

Self-Hosted Runner is designed to only transmit data externally, meaning no communication from TROCCO to the customer's environment occurs, making it possible to implement it in environments with strict security requirements.

Traditional TROCCO (SaaS) Requires a Bastion Server

In most cases, user data sources reside within private networks that are not directly accessible from external connections. To retrieve or insert data into these sources, a bastion server is typically required to mediate external access.

For organizations handling sensitive data or operating in highly regulated industries, ensuring secure and compliant access to private network resources is crucial. Traditional approaches, like using a bastion server, may introduce bottlenecks, latency, or additional points of failure, impacting overall system performance and data processing efficiency.

Hybrid Architecture Combining On-Premise and Public Cloud

By leveraging the Self-Hosted Runner, you can seamlessly integrate on-premise/virtual server environments within private networks with public cloud infrastructure, enabling a flexible hybrid architecture.

For each transfer setting, you can choose to use eitherTROCCO's cloud resources or your own resources (Self-Hosted Runner). This allows you to:
·      Securely transfer sensitive data within a private network.
·      Leverage public cloud capabilities for advanced processing.
·      Build a highly flexible and optimized data pipeline by combining both environments.
Specifications as of February 1, 2025, subject to change.
The function provided is a beta version.
Please contact us for detailed technical specifications.
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Build a data infrastructure that leads to "serious data utilization"
with TROCCO®

Please feel free to contact us even if you are not sure of the specific usage image. We will support you in establishing your data infrastructure from scratch.