Viterelli represents a next generation approach to cloud native performance, designed for teams that need rapid, reliable deployments without sacrificing control. This overview explains how the platform coordinates infrastructure, pipelines, and runtime to keep environments consistent from development to production.
Built on open standards and modern observability, Viterelli provides a unified surface for developers, platform engineers, and security teams. The following sections clarify deployment models, security boundaries, and day two operations for this emerging stack.
| Component | Role | Default Behavior | Admin Override |
|---|---|---|---|
| Controller Plane | Orchestrates deployments and policies | Single active region | Multi region HA via config |
| Worker Nodes | Hosts container workloads | Auto scaled groups | Min max size and taints |
| Artifact Registry | Stores versioned images and charts | TTL 90 days | Retention and encryption settings |
| Network Gateway | Ingress and service exposure | HTTP/2 and TLS 1.3 | Custom ports and TCP routes |
Secure Deployment Workflows
Policy As Code
Viterelli enforces deployment rules through rego style policies, blocking non compliant builds before they reach runtime. Teams can define who may deploy which images and to which namespaces, reducing audit overhead.
Image Scanning And Attestation
Each artifact is scanned at rest and at runtime, with critical findings triggering automatic rollbacks. Attestations are stored alongside metadata to support provenance and compliance.
Developer Experience And Tooling
Local Preview Environments
Developers spin up ephemeral stacks with a single command, mirroring production network policies and service mesh settings. This reduces environment drift and speeds up peer review.
CI/CD Integration Patterns
Official plugins exist for common CI systems, enabling zero touch promotion from merge to production. Webhooks and status checks keep pipelines visible directly from the platform UI.
Operational Observability
Unified Metrics And Traces
Built in scrapers export time series and traces, allowing SREs to correlate deployments with latency or error spikes. Dashboards can be templated per team or per service.
Alerting And Runbooks
Preconfigured alert rules map to severity levels, and each alert links to a runbook with remediation steps. On call engineers can acknowledge, automate, or escalate directly from the incident view.
Scaling And Cost Management
Horizontal Pod Autoscaling
Scale targets can be set per service based on QPS, CPU, or custom metrics. Spot capacity is supported for fault tolerant workloads, with fallback to reserved instances when needed.
Namespace Quotas
Resource quotas limit compute and storage per team, preventing noisy neighbor issues and providing clear cost attribution for chargeback or showback models.
Operational Best Practices And Recommendations
- Define namespaces and network policies early to enforce least privilege
- Use immutable tags and SBOMs for all container images
- Enable automated policy testing in pull request pipelines
- Configure SLO driven autoscaling and alerting on error budgets
- Regularly review resource requests and limits for cost efficiency
FAQ
Reader questions
How does Viterelli handle multi cluster deployments?
Viterelli treats each cluster as a fleet, synchronizing policies and desired state across them while preserving local failover boundaries and reducing convergence time.
Can I integrate existing Helm charts without rewriting them?
Yes, the platform ingests Helm charts directly, converting them into declarative runtime objects while preserving values, hooks, and dependency ordering.
What networking options are available for ingress?
You can use L7 HTTP routing, gRPC load balancing, or TCP passthrough, with support for websocket upgrades and path based rewrites configured via CRD.
How are secrets managed and rotated?
Secrets are stored in an integrated vault, synced into pods as sealed entries, and can be rotated on schedule with zero downtime rolling updates.