App Hosting and Management in Raipur

What is managed app hosting for AI systems?

Managed app hosting means we operate the environments, pipelines, and observability for your application stack — not just rent compute. For AI systems this especially means keeping inference on Cloud Run / Vertex (not Edge Function timeouts), protecting secrets, and coordinating releases through alterai.os.

• Hosting on Firebase Hosting + Cloud Run patterns
• Release pipelines, version bumps, and environment separation
• Uptime checks and incident response hooks
• Secrets and env hygiene across prod and local
• Client portal for health, releases, and coordination

Hosting engagements we take

• Takeover of existing Firebase / GCP apps — Architecture review, access hardening, then ongoing ops.
• AI agent runtime ops — Cloud Run / Vertex services with scaling, logs, and deploy gates.
• Supabase + RLS stewardship — Migrations, backups awareness, and policy hygiene with your team.
• CI/CD modernization — GitHub Actions pipelines, versioning, and manual prod approval gates.
• Monthly managed retainer — Dependency bumps, coordinated releases, and monitoring response.

How Alter AI takes over and runs hosting

We audit before we touch prod. Local and prod may share cloud projects on single-env clients — caution is mandatory.

1. Audit current stack, access, secrets, and backup posture.
2. Harden CI/CD, environments, and least-privilege service accounts.
3. Enable monitoring, alerts, and backup verification.
4. Document runbooks and portal visibility for stakeholders.
5. Ongoing release and ops cadence with change logs.

Security of hosted AI infrastructure

Every Alter AI build treats security and privacy as product requirements — not a slide at the end. We design for least privilege, auditability, and human control on irreversible actions. Formal ISO 27001, GDPR attestation, and cybersecurity certifications applicable to our software product company are in process; see our Compliance page for current status.

• Row-level security (RLS) and role-based access on application data
• Secrets stay server-side — never in client bundles or agent prompts
• AI tool calls use scoped credentials with audit logs
• Human-in-the-loop gates on irreversible or high-risk actions
• SSO-ready portals for enterprise identity providers when scoped
• GDPR-aligned practices for EU/UK data (purpose limitation, retention, DPA readiness) — formal attestation in process
• SOC 2–ready architecture patterns (logging, access control, change management) — not a completed SOC 2 report
• No secrets in git; env templates and GitHub Secrets only
• Manual approval gates on sensitive production operations
• Agent inference kept off Edge Functions that cannot host long LLM loops

Who this is for

• Teams with AI or enterprise apps already on Firebase/GCP needing ops maturity
• Founders without a full platform engineering hire yet
• Companies that know Edge Functions are the wrong place for heavy agents
• Clients who want portal-visible releases, not Slack archaeology

What you get

• Hardened hosting topology and access model
• CI/CD pipelines and versioning
• Monitoring and alerting hooks
• Secrets hygiene and env documentation
• alterai.os visibility for releases
• Monthly ops cadence when on retainer

How long to build

Takeover + hardening often 1–2 weeks. Ongoing monthly ops is a retainer, not a one-off project.