Deployment & Infrastructure

AgenixChat offers three flexible deployment options: Vercel (Recommended for Startup/Professional): Zero-configuration serverless deployment, automatic SSL and global CDN, auto-scaling serverless functions, built-in CI/CD with Git integration, 99.99% uptime SLA, fastest time to deployment (minutes). Docker (Recommended for Enterprise): Full control over infrastructure, deploy on any cloud (AWS, Azure, GCP) or on-premises, container orchestration with Kubernetes, horizontal scaling support, custom networking and security, suitable for regulated industries. VPS Self-Hosted (Maximum Control): Complete infrastructure ownership, air-gapped deployment option, custom security controls, data residency compliance, suitable for government and highly regulated industries. All deployment options support the same features. Choice depends on your control requirements, compliance needs, and DevOps capabilities.

Yes, self-hosting is fully supported via Docker or VPS deployment: Docker Deployment: Official Docker images provided, Docker Compose configuration included, Kubernetes manifests available, supports Docker Swarm and K8s orchestration, automated health checks and restarts. VPS Deployment: Deploy on any Linux server (Ubuntu 20.04+, RHEL 8+), manual installation guide provided, systemd service configuration, Nginx/Apache reverse proxy setup, automated backup scripts. Requirements: PostgreSQL 12+ database, Node.js 18+ runtime, 2GB+ RAM minimum (varies by tier), SSL certificate (Let's Encrypt supported), domain name and DNS configuration. Support: Self-hosting documentation, community support (Startup/Professional), dedicated support (Enterprise), on-site installation assistance (Enterprise Plus). Self-hosting gives you complete control over infrastructure, data, and security.

Startup Tier: 2-4 CPU cores, 4-8 GB RAM, 20-50 GB SSD storage, PostgreSQL 12+, 10 Mbps network, suitable for 5-10 users, up to 10K messages/month. Professional Tier: 8-16 CPU cores, 16-32 GB RAM, 100-250 GB SSD storage, PostgreSQL 12+ with replication, 100 Mbps network, suitable for 50-100 users, up to 100K messages/month. Enterprise Tier: 16-32 CPU cores, 64-128 GB RAM, 500 GB - 1 TB SSD storage, PostgreSQL 12+ with HA setup, 1 Gbps network, load balancer, suitable for 500+ users, unlimited messages, data-intensive workloads. Enterprise Plus: 32+ CPU cores, 128+ GB RAM, 1+ TB NVMe SSD storage, PostgreSQL cluster with multi-region replication, 10 Gbps network, dedicated infrastructure, suitable for mission-critical workloads, millions of records. All tiers require modern browsers (Chrome, Firefox, Safari, Edge) for web interface.

AgenixChat provides production-ready Kubernetes manifests: Deployment Resources: Deployment manifests for app and database, Service definitions (ClusterIP, LoadBalancer), Ingress configuration with TLS, ConfigMaps for environment variables, Secrets for sensitive data, PersistentVolumeClaims for storage. Helm Chart: Official Helm chart available, customizable values.yaml, easy upgrades and rollbacks, namespace isolation, resource quotas and limits. Features: Horizontal Pod Autoscaling (HPA), liveness and readiness probes, rolling updates with zero downtime, pod disruption budgets, network policies for security. Monitoring: Prometheus metrics export, Grafana dashboards included, log aggregation (ELK, Loki), distributed tracing support. Best Practices: Multi-replica deployment for HA, separate namespaces for environments, GitOps workflow (ArgoCD, Flux), automated backups with Velero. Documentation includes step-by-step K8s deployment guide.

Comprehensive monitoring and observability integrations: Metrics: Prometheus metrics export (application and system metrics), Grafana dashboards (pre-built templates), Datadog integration, New Relic APM, custom metrics via API. Logging: Structured JSON logging, ELK stack integration (Elasticsearch, Logstash, Kibana), Loki and Grafana Loki, Splunk forwarding, CloudWatch Logs (AWS). Tracing: OpenTelemetry support, Jaeger distributed tracing, Zipkin integration, custom span creation. Alerting: Prometheus Alertmanager, PagerDuty integration, Slack/email notifications, custom webhook alerts. Health Checks: HTTP health endpoints (/health, /ready), database connection monitoring, AI service connectivity checks, resource utilization tracking. Dashboards: Pre-built Grafana dashboards for system metrics, application performance, user activity, AI service usage. All monitoring data can be exported to your existing observability stack.

Robust backup and disaster recovery capabilities: Database Backups: Automated daily backups (configurable frequency), point-in-time recovery (PITR), encrypted backup storage, retention policies (7-365 days), cross-region backup replication. Backup Methods: PostgreSQL pg_dump for logical backups, continuous archiving with WAL, snapshot-based backups (cloud providers), incremental backups for efficiency. Disaster Recovery: Recovery Time Objective (RTO): 1-4 hours, Recovery Point Objective (RPO): 15 minutes to 24 hours, documented DR procedures, regular DR testing (quarterly for Enterprise), failover automation (Enterprise Plus). High Availability: Primary-replica database setup, automatic failover, load balancing across instances, multi-region deployment option, 99.9-99.99% uptime SLA. Backup Testing: Monthly backup restoration tests, documented recovery procedures, DR runbooks, team training. Enterprise customers receive dedicated DR planning and support.

Streamlined upgrade process with minimal downtime: Release Cycle: Monthly feature releases, weekly security patches, quarterly major updates, advance notice for breaking changes. Upgrade Methods: Vercel: Automatic deployment via Git push, instant rollback capability, preview deployments for testing. Docker: Pull new image, run database migrations, rolling update deployment, zero-downtime upgrades. VPS: Download new release, backup database, run migration script, restart services. Database Migrations: Automated via Prisma migrations, backward-compatible migrations, rollback scripts included, migration testing in staging. Testing: Staging environment recommended, automated test suite, smoke tests post-upgrade, rollback plan documented. Downtime: Vercel: zero downtime, Docker/K8s: <5 minutes with rolling updates, VPS: 5-15 minutes. Support: Upgrade documentation, pre-upgrade checklist, dedicated support during upgrade (Enterprise), on-site upgrade assistance (Enterprise Plus).

Yes, multi-region deployment is supported for Enterprise and Enterprise Plus: Architecture: Primary region with read replicas in other regions, database replication (async or sync), global load balancing, CDN for static assets. Use Cases: Disaster recovery and business continuity, data residency compliance (EU, US, APAC), low-latency access for global users, high availability across regions. Configuration: Active-passive (DR) or active-active (load distribution), automatic failover between regions, data synchronization strategies, conflict resolution for multi-master. Supported Regions: AWS: 20+ regions worldwide, Azure: 60+ regions, GCP: 30+ regions, on-premises: custom regions. Considerations: Increased infrastructure costs, network latency between regions, data transfer costs, complexity of management. Implementation: Architecture design workshop, multi-region deployment guide, automated deployment scripts, ongoing optimization. Multi-region deployment requires Enterprise Plus tier and professional services engagement.

AgenixChat scales horizontally and vertically: Horizontal Scaling: Add more application instances behind load balancer, database read replicas for query distribution, connection pooling (PgBouncer), session affinity (sticky sessions), auto-scaling based on CPU/memory. Vertical Scaling: Increase CPU/RAM on existing servers, upgrade database instance size, faster storage (SSD to NVMe), network bandwidth increase. Database Scaling: PostgreSQL connection pooling, read replicas for read-heavy workloads, partitioning for large tables, query optimization and indexing, caching layer (Redis) for frequent queries. Caching: Application-level caching, CDN for static assets, database query caching, session caching. Performance Optimization: Code profiling and optimization, database query optimization, async processing for heavy tasks, rate limiting to prevent abuse. Monitoring: Real-time performance metrics, capacity planning dashboards, auto-scaling triggers, alerting for resource constraints. Enterprise customers receive scaling architecture review and optimization support.

Flexible CI/CD integration options: Git Platforms: GitHub (GitHub Actions), GitLab (GitLab CI), Bitbucket (Bitbucket Pipelines), Azure DevOps, self-hosted Git (Gitea, Gogs). CI/CD Tools: Jenkins (Jenkinsfile included), CircleCI, Travis CI, GitHub Actions (workflows provided), GitLab CI/CD, Azure Pipelines. Deployment Automation: Infrastructure as Code (Terraform modules), Ansible playbooks, Kubernetes manifests, Helm charts, Docker Compose files. Pipeline Stages: Build (compile TypeScript, bundle assets), Test (unit tests, integration tests, E2E tests), Security scan (dependency audit, SAST), Database migration, Deploy (staging, production), Smoke tests. GitOps: ArgoCD integration, Flux CD support, automated sync from Git, drift detection, rollback automation. Best Practices: Separate pipelines for environments, automated testing before deployment, blue-green deployments, canary releases, automated rollback on failure. Complete CI/CD documentation and example pipelines provided.