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Following the massive release of our Spatial AI Engine in v3.1.0, HyperspaceDB v3.1.1 focuses on enterprise-grade security, zero-trust infrastructure hardening, extreme hardware-level performance optimizations, and ESG sustainability tracking.
This update transforms HyperspaceDB into a compliance-ready fortress engineered for strict corporate environments, B2B multi-tenancy, and high-throughput edge deployments.
Here is what is new in v3.1.1.
🔒 1. Enterprise RBAC & Cross-Tenant Sharing
Building multi-tenant B2B AI applications requires strict data boundary isolation and granular permissions.
Transaction-Safe Security Core: Implemented a centralized, transaction-safe security storage (data/security.db) powered by redb v4, featuring dynamic API key hashing and multi-tenant permission records.
Granular User Roles: Added strict UserRole gating (Admin, ReadWrite, ReadOnly) across all HTTP and gRPC request scopes.
Namespaced Cross-Tenant Sharing: Enabled secure index sharing via namespaced URL collection referencing (using owner:name or owner/name syntax).
Dashboard Management: Integrated a full-featured "Share Collection" modal, grantee privilege management, and role-based action filters directly into the Web Dashboard.
We made meeting SOC 2 Type II, HIPAA, and GDPR compliance standards frictionless for DevOps teams.
Zero-Dependency mTLS: Integrated out-of-the-box TLS/mTLS configuration for both HTTP (Axum) and gRPC (Tonic) servers controlled via straightforward environment variables (HS_TLS_CERT, HS_TLS_KEY, HS_TLS_CA).
Custom Acceptor Loop: Features a custom TLS connection acceptor supporting strict client certificate verification with seamless fallback to unencrypted traffic when needed.
Tenant-Isolated Audit Trails: Added structured JSON-formatted application audit logging with configurable granularity levels (off, low, medium, high, full) streaming directly to stdout or an dedicated audit.log file.
Web Dashboard Control Plane: Tenant-isolated log buffers now stream secure, filtered audit histories directly to the Web Dashboard's Control Plane Settings based on the authenticated request context.
We continuously optimize our Rust core to ensure every CPU cycle is utilized effectively.
Nightly SIMD Vector Acceleration: Activated SIMD intrinsics via std::simd under the nightly-simd cargo feature. This unlocks maximum hardware utilization on AVX2 / AVX-512 / ARM64 Neon platforms for complex non-Euclidean math, drastically accelerating Lorentz metrics, Poincaré distance calculations, and Möbius additions.
O(1) Incremental Payload Storage: Replaced full $O(N)$ index serialization with an append-only Write-Ahead Log (WAL) inside payload_store.rs. This eliminates NVMe latency spikes during high-throughput payload ingestion, ensuring flat, deterministic write latency.
🌱 4. Eco-Monitoring & Carbon Footprint Tracking
HyperspaceDB continues to lead as the most resource-efficient and eco-conscious vector engine on the market.
Real-Time Carbon Telemetry: Integrated hyperspace-eco telemetry to actively calculate and track the carbon impact of CPU and RAM computations per node.
ESG Dashboard Badges: Real-time ESG sustainability badges and operational efficiency metrics are now exposed directly inside the overview and collections interfaces of the Web Dashboard.
📦 Upgrading to v3.1.1
To upgrade your local node or embedded Rust dependency to v3.1.1:
Rust Cargo Dependency:
[dependencies]
hyperspace-sdk = "3.1.1"# To enable SIMD hardware acceleration on nightly toolchains:# hyperspace-sdk = { version = "3.1.1", features = ["nightly-simd"] }
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Following the massive release of our Spatial AI Engine in v3.1.0, HyperspaceDB v3.1.1 focuses on enterprise-grade security, zero-trust infrastructure hardening, extreme hardware-level performance optimizations, and ESG sustainability tracking.
This update transforms HyperspaceDB into a compliance-ready fortress engineered for strict corporate environments, B2B multi-tenancy, and high-throughput edge deployments.
Here is what is new in v3.1.1.
🔒 1. Enterprise RBAC & Cross-Tenant Sharing
Building multi-tenant B2B AI applications requires strict data boundary isolation and granular permissions.
Transaction-Safe Security Core: Implemented a centralized, transaction-safe security storage (
data/security.db) powered byredbv4, featuring dynamic API key hashing and multi-tenant permission records.Granular User Roles: Added strict
UserRolegating (Admin,ReadWrite,ReadOnly) across all HTTP and gRPC request scopes.Namespaced Cross-Tenant Sharing: Enabled secure index sharing via namespaced URL collection referencing (using
owner:nameorowner/namesyntax).Dashboard Management: Integrated a full-featured "Share Collection" modal, grantee privilege management, and role-based action filters directly into the Web Dashboard.
🛡️ 2. Out-of-the-Box Mutual TLS (mTLS) & Audit Logging
We made meeting SOC 2 Type II, HIPAA, and GDPR compliance standards frictionless for DevOps teams.
Zero-Dependency mTLS: Integrated out-of-the-box TLS/mTLS configuration for both HTTP (Axum) and gRPC (Tonic) servers controlled via straightforward environment variables (
HS_TLS_CERT,HS_TLS_KEY,HS_TLS_CA).Custom Acceptor Loop: Features a custom TLS connection acceptor supporting strict client certificate verification with seamless fallback to unencrypted traffic when needed.
Tenant-Isolated Audit Trails: Added structured JSON-formatted application audit logging with configurable granularity levels (
off,low,medium,high,full) streaming directly tostdoutor an dedicatedaudit.logfile.Web Dashboard Control Plane: Tenant-isolated log buffers now stream secure, filtered audit histories directly to the Web Dashboard's Control Plane Settings based on the authenticated request context.
⚡ 3. Hardware Sympathy: SIMD Acceleration & O(1) WAL
We continuously optimize our Rust core to ensure every CPU cycle is utilized effectively.
Nightly SIMD Vector Acceleration: Activated SIMD intrinsics via
std::simdunder thenightly-simdcargo feature. This unlocks maximum hardware utilization on AVX2 / AVX-512 / ARM64 Neon platforms for complex non-Euclidean math, drastically accelerating Lorentz metrics, Poincaré distance calculations, and Möbius additions.O(1) Incremental Payload Storage: Replaced full$O(N)$ index serialization with an append-only Write-Ahead Log (WAL) inside
payload_store.rs. This eliminates NVMe latency spikes during high-throughput payload ingestion, ensuring flat, deterministic write latency.🌱 4. Eco-Monitoring & Carbon Footprint Tracking
HyperspaceDB continues to lead as the most resource-efficient and eco-conscious vector engine on the market.
Real-Time Carbon Telemetry: Integrated
hyperspace-ecotelemetry to actively calculate and track the carbon impact of CPU and RAM computations per node.ESG Dashboard Badges: Real-time ESG sustainability badges and operational efficiency metrics are now exposed directly inside the overview and collections interfaces of the Web Dashboard.
📦 Upgrading to v3.1.1
To upgrade your local node or embedded Rust dependency to
v3.1.1:Rust Cargo Dependency:
Docker Pull:
Environment Setup for mTLS:
*For full documentation, architecture breakdown, and SDK guides, visit [yar.ink/docs]
This discussion was created from the release 🚀 Release v3.1.1: Enterprise RBAC, Zero-Trust mTLS, SIMD Hyperbolic Acceleration & Eco-Monitoring.
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