Io-Tahoe

Codification allows for knowledge to be executed by machines, but still readable by operators. Automated tooling allows operators to increase their productivity, move quicker, and reduce human error. Machines can automatically detect, triage, and resolve issues.

Our design process starts with an envisioned data workflow to achieve a set goal. We then identify existing tools that simplify the workflow. If a sufficient tool does not exist, we step in to build it. This leads to a fundamentally technology-agnostic view - we will use the best technology available to solve the problem. As technologies evolve and better tooling emerges, the ideal workflow is updated to leverage those technologies. Technologies change, end goals stay the same.

A modular approach to design prefers many smaller components with well defined scopes that can be used together. The alternative approach is monolithic, in which a single tool has a nebulous scope that expands to encompass new features and capabilities. We like to think of the components as blocks that are functional on their own, and can be combined in new and innovative ways.

Security by Design is our approach for security and compliance at scale across multiple industries, standards, and security criteria. We provide security controls built in throughout the entire software development process. This includes automated code reviews to uncover security vulnerabilities and better understand the various attack models for a new product or feature.

The result is automated security, assurance, governance, and compliance capabilities for your data and environments. You can now execute reliable implementation of what was previously only written in policies, standards, and regulations. Additionally, you can create enforceable security and compliance, which in turn creates a functional, reliable governance model for your data environments.

Finally resilient systems are built to withstand unexpected data inputs and data outputs. To accomplish this, the system must have a desired state, a method to collect information on the current state, and a mechanism to automatically adjust the current state to return to the desired state. We believe that applying this sort of systems rigor to data operations is critical to achieve the highest levels of reliability.