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Technology

Infrastream is built upon a foundation of best-in-class, enterprise-grade technologies, selected to provide maximum security, scalability, and reliability. While the platform's primary value is abstracting away the complexity of these technologies, an understanding of the core pillars is helpful for strategic context.

Google Cloud Platform (GCP) — The Foundation​

Google Cloud Platform serves as the exclusive cloud foundation for the Infrastream platform. We have standardized on GCP for its robust global infrastructure, leadership in data and security services, and commitment to open standards.

  • What it is: A leading suite of public cloud computing services offered by Google.
  • Why it matters: By leveraging GCP, Infrastream provides its clients with access to world-class networking, cutting-edge data analytics and AI services, and a security posture trusted by the world's most demanding organizations. Infrastream acts as the definitive management and security layer on top of this powerful foundation.

The Core Go Engine — The Executor​

Infrastream uses its own high-performance, core Golang execution engine to translate user requests directly into Google Cloud API calls — with no separate provisioning tool or external state engine in the loop.

  • What it is: A compiled, highly-concurrent JIT (Just-In-Time) graph execution engine. It reads manifests, resolves topological dependencies in memory using a "Promise" architecture, and provisions cloud resources directly.
  • Why it matters: Because there is no intermediate tool serializing runs behind a single locked state file, large engineering teams can deploy concurrently without stepping on each other's toes, unlocking massive horizontal scalability.

Google Cloud Spanner — The Time Machine Ledger​

To ensure absolute reliability and auditability, Infrastream uses Google Cloud Spanner as its central state backend.

  • What it is: A fully-managed, horizontally scalable relational database service offering industry-leading global consistency.
  • Why it matters: Infrastream treats infrastructure state as an append-only, immutable ledger. Every single change is recorded with millisecond precision. This provides guaranteed auditability for SOC2/PCI compliance and underpins our "panic-proof" disaster recovery narrative—allowing you to confidently rewind infrastructure to any specific point in time.

The Manifest Driven Approach — The User Experience​

The core of the Infrastream user experience is our Manifest Driven Secure Execution (MDSE) model. This is the declarative framework that makes the platform both powerful and accessible.

  • What it is: A manifest is a simple, plain-text file where a user declares the desired state of a resource—for instance, "I need a database with this name and this size" or "I need a web application using this container image."
  • Why it matters: Instead of writing complex, procedural code, users simply describe the "what." The Infrastream platform is responsible for the "how." This declarative model is the key to the platform's simplicity and power. It reduces the potential for human error, ensures consistency, and makes the entire state of the infrastructure easy to understand and audit by simply reading a collection of manifest files stored in a central repository.

Vertex AI Agent Engine — The ADP Runtime Layer​

This is the runtime layer of Infrastream's Agentic Development Platform. Infrastream extends its governance model to AI agents via Google Cloud's Vertex AI Agent Engine — one of the newest additions to Vertex AI — with automated identity management and MCP-based tool access.

  • What it is: A managed runtime and registry for deploying and discovering AI agents. Infrastream provisions agents here via the Agent manifest and automatically manages the agent's runtime identity: scoped IAM grants and proactively-refreshed access tokens, so no team hand-rolls that plumbing. Tools (including MCP servers, already running in production and headed toward their own governed manifest kind) can require a specific end user's 3-legged consent rather than a shared credential.
  • Why it matters: AI agents can generate infrastructure faster than humans can review it — and can call tools faster than a platform team can wire up credentials by hand. By governing agent deployment, identity, and end-user authorization through the same manifest system, Infrastream is designed so each agent operates within explicit access boundaries rather than borrowing more authority than it was granted. The deterministic engine validates and provisions; the probabilistic model only generates intent. Pvotal migrated its own agents onto this runtime first, and the layer is still maturing — the runtime is ADK-only today. See Agentic Governance.