Product Roadmap

Our biggest release yet — SRExpert as a fully-managed SaaS, plus a secure tunnel Gateway, a multi-tenant Vault, and broader compliance scanning, all inside the web interface you already know.

What's new in 2.0.0

• Fully-managed SaaS — multi-cluster deployment across AWS, Azure and GCP, with the new SREgate protocol streamlining cross-cluster communication and no inter-cluster rules to configure
• Tunnel Gateway — expose internal services through a secure outbound tunnel, with per-route plugins (CORS, header transform, request transformer, key-auth) and consumers + API keys
• Multi-tenant Vault — KeePass-compatible secrets manager with KDBX import/export
• Broader cluster import — EKS, AKS, GKE, k3s, RKE and bare-metal via kubeconfig, with a 30-day free trial
• Compliance scanning across SOC 2, HIPAA, PCI-DSS, ISO 27001, NIST and NSA frameworks
• AI assistant with more providers — Claude, GPT/ChatGPT, Gemini, Qwen and OpenRouter

Delivery of the new Release 1.0.0 publicly for production.

What shipped in 1.0.0

• Multi-cluster management for EKS, AKS, GKE and on-premise Kubernetes
• Built-in Trivy vulnerability scanning and 7 compliance frameworks
• Prometheus-native monitoring with custom PromQL dashboards
• SRE CLI with 80+ specialized tools and 4 AI providers
• Zero-firewall Agent with outbound-only secure tunnel

Development of core platform features, integrations, and user interface components.

Core platform shipped

• Kubernetes API integration layer with smart caching and retries
• OPA Gatekeeper-based policy engine with audit logging
• Alerting engine with 10 pre-built templates and 7 notification channels
• Helm release management with rollback and revision diff
• RBAC analyzer with security score and risk detection

Public release of SRExpert platform for early adopters and beta users.

Early access to production clusters

• Onboarded 20+ design partners across regulated industries
• Released public documentation at docs.srexpert.cloud
• First production incidents detected and resolved through SRExpert
• Discord community and feedback loop established

Bug fixes and stability improvements based on early user reports.

Stability sprint

• Resolved critical issues reported by early testers
• Hardened cluster connection timeouts and reconnect backoff
• Fixed compliance scoring edge cases on custom frameworks
• Performance improvements on the multi-cluster dashboard

Working on the development of the SRE CLI and integrations with leading AI providers.

AI assistant foundation

• Integrated 4 AI providers (Qwen, Claude, GPT-4, Gemini)
• Built 80+ read-only tools across workloads, security and monitoring
• Audit logging on every AI query for full traceability
• Zero-direct-access architecture — the AI never touches the cluster directly

Kickoff of SRExpert 1.0.0 development inside Privum Cloud.

Project kickoff

• Private repo created inside the Privum Cloud engineering org
• Architecture defined: Next.js frontend, FastAPI backend, PostgreSQL, Redis
• First internal proof-of-concept deployed to a Privum dev cluster
• Founding team assembled with 20+ years combined Kubernetes experience