Unified Infrastructure Visibility: HCP Terraform with Infragraph Enters Public Preview

Cloud migration promised simpler infrastructure provisioning and management, but many enterprises face a more complex reality. New challenges have emerged that undermine the cloud's speed, security, and scalability. A common issue is infrastructure data stored in silos, making it nearly impossible to get a unified view of hybrid and multi-cloud environments. Platform teams often cobble together solutions manually or purchase multiple tools, which only adds to the sprawl. Tracking ownership and responsibility for resources becomes difficult, security patching grows harder, complexity increases, and costs spiral out of control. Enter HCP Terraform powered by Infragraph, now available in public preview for qualified US customers.

The Challenge of Modern Cloud Management

In today's multi-cloud landscape, organizations use an average of five or more services to manage their cloud estate, according to HashiCorp research. Consolidating data from diverse ecosystems, workflows, and applications is often a manual and cumbersome process. By the time the analysis is ready, the data is already outdated. This static view slows response times and leads to unexpected spending. The problem is intensifying as infrastructure changes happen more frequently, exploits materialize faster, and costs get out of control quicker.

For example, with AI enabling hackers to target vulnerabilities with remarkable speed and precision, any security lapses must be detected and patched in real time. To cap costs, platform teams need to investigate unexpected usage spikes before they inflate the bill. Yet legacy approaches to hybrid and multi-cloud management often provide “dirty data” – outdated information from servers, VMs, and cloud systems.

Introducing Infragraph: A Centralized Knowledge Graph

Infragraph addresses these issues head-on. It is a centralized, event-driven knowledge graph that provides unified visibility across an organization's entire infrastructure estate. Instead of static insights, it delivers dynamic updates powered by real-time data from all sources. This allows platform teams to see who owns what, what is changing, and where risks or inefficiencies lie.

The graph continuously updates assets, ensuring that teams always work with a current and accurate picture. This eliminates the need for manual data consolidation and the spread of dirty data. With a single source of truth, organizations can secure and optimize their infrastructure more effectively.

How Infragraph Works

Infragraph operates as an event-driven system. It ingests data from multiple sources – including cloud providers, configuration management tools, and operational databases – and builds a live graph of relationships and dependencies. Whenever an asset changes, the graph updates automatically. This real-time capability is critical for:

• Rapidly identifying misconfigurations or security gaps
• Tracking resource ownership and compliance
• Providing cost optimization insights by correlating usage with costs
• Supporting future AI-driven automation of key workflows

In essence, Infragraph turns messy, siloed data into a coherent, actionable map of the entire infrastructure landscape.

Public Preview: How to Get Started

At IBM Think, HashiCorp announced that HCP Terraform powered by Infragraph is now available in public preview for qualified US HCP Terraform customers. This means eligible teams can begin using the knowledge graph capabilities immediately to improve their infrastructure management. To start, customers should contact their HashiCorp account team or access the feature through the HCP Terraform console.

The preview allows organizations to experience the benefits of unified visibility without additional tooling. It integrates seamlessly with existing Terraform workflows, enhancing rather than replacing current practices.

Future Potential: AI and Automation

Looking ahead, Infragraph lays the foundation for AI-driven automation. With a dynamic, real-time knowledge graph, organizations can train AI models to detect anomalies, predict failures, and automate remediation. For instance, if a security vulnerability is discovered, the AI could automatically identify all affected resources and trigger patches. This vision depends on having accurate, up-to-date infrastructure data – exactly what Infragraph provides.

Conclusion

The era of AI demands faster, more accurate infrastructure management. Siloed data and manual processes no longer suffice. HCP Terraform powered by Infragraph offers a unified, event-driven approach that brings truth to infrastructure, enabling platform teams to secure, optimize, and scale with confidence. The public preview is a first step – one that promises to transform how enterprises manage complexity in the cloud.

For more details, see the challenge overview or how Infragraph works.