Kubernetes management made ridiculously easy

Facets provisions production-ready clusters, automates monitoring, upgrades and security, and lets developers ship to Kubernetes through self-service, not hand-written YAML.

Definition

Kubernetes management

Kubernetes management covers provisioning clusters, wiring networking and storage, enforcing security, and keeping workloads healthy as they scale. Facets automates that operational weight: it provisions production-ready clusters from declarative blueprints, standardizes configuration across every environment, and lets developers ship to Kubernetes through self-service instead of hand-written YAML. Drift is detected and corrected continuously, so clusters stay consistent as the platform grows.

THE CHALLENGE

The Kubernetes complexity challenge

Kubernetes promises scalability and flexibility, but running it in production shouldn't demand a dedicated team of specialists.

Complex configuration

YAML sprawl, networking nightmares, and storage headaches

Operational overhead

Constant monitoring, manual upgrades, and security patches

Skills gap

Finding Kubernetes experts is expensive and time-consuming

Cost creep

Unoptimized resources leading to spiraling cloud bills

FACETS K8S MANAGEMENT

Why Facets for Kubernetes

Six pillars of production-ready Kubernetes management

Ready-to-use clusters

Production-ready Kubernetes clusters with best practices baked in from day one.

  • Multi-AZ deployment
  • Auto-scaling configured
  • Security hardened
  • Network policies enabled

Out-of-the-box monitoring and alerting

Comprehensive observability stack with intelligent alerting that actually matters.

  • Prometheus and Grafana
  • Application metrics
  • Smart alerting rules
  • Custom dashboards

Automated upgrades

Zero-downtime cluster upgrades with automated rollback capabilities.

  • Automated node updates
  • Rolling upgrades
  • Rollback protection
  • Maintenance windows

Advanced storage management

Persistent storage that just works, with backup and disaster recovery built in.

  • Dynamic provisioning
  • Automated backups
  • Cross-region replication
  • Storage optimization

Cost optimization

Intelligent resource right-sizing and waste elimination to keep costs under control.

  • Resource recommendations
  • Spot instance integration
  • Idle resource detection
  • Cost analytics

Kubernetes access management

Fine-grained RBAC with audit trails and compliance reporting.

  • Role-based access control
  • SSO integration
  • Audit logging
  • Compliance reports

Kubernetes the DIY way versus on Facets

The same production cluster, with and without the operational weight.

CapabilityDIY / managed K8sOn Facets
Cluster provisioningHand-written Terraform and YAML per environmentProduction-ready clusters from declarative blueprints
Configuration driftCaught late, reconciled by handDetected and corrected continuously
Monitoring and alertingAssembled and wired per clusterPrometheus and Grafana wired in by default
UpgradesManual, risky, scheduled downtimeAutomated, zero-downtime, with rollback
Developer accessTickets to the platform teamSelf-service behind RBAC guardrails
Cost controlReactive, after the bill arrivesRight-sizing and idle detection built in
Capability comparison of DIY / managed K8s and Facets
ENTERPRISE READY

Standardization across your stack

Security, observability, and compliance built into every layer

Security by design

Pod security policies, network segmentation, and vulnerability scanning

Deep observability

Application performance monitoring, distributed tracing, and log aggregation

Compliance ready

SOC 2, HIPAA, and PCI DSS compliance frameworks built in

Platform engineering at scale

See customers
Virender Bisht
When we needed air-gapped deployments for our partner bank, Facets built a solution for that as well on short notice. Brilliantly done and nicely executed.
Read Case Study

Virender Bisht

Co-founder & CTO · Niyo

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Frequently asked questions

Facets provisions production-ready clusters from declarative blueprints, wires in networking, storage, monitoring and security, and keeps every cluster consistent by detecting and correcting configuration drift continuously. Developers deploy through self-service instead of writing YAML, while platform teams keep governance and control.

No. Facets runs on top of managed Kubernetes (Amazon EKS, Google GKE, Azure AKS) and your own clusters, automating the provisioning, configuration, upgrades and governance around them. You keep your cloud and your clusters; Facets removes the operational weight.

No. Developers describe what they need and Facets provisions compliant resources from approved blueprints. Platform teams own the modules and guardrails; developers ship through self-service without hand-writing manifests.

Security is built into every blueprint: network policies, pod security, role-based access control, audit logging and vulnerability scanning, with SOC 2, HIPAA and PCI DSS frameworks supported rather than bolted on later.

Yes. Facets deploys into your own cloud account across AWS, GCP and Azure, so you keep full control and data sovereignty while Facets manages the Kubernetes operations.

Experience a new standard in Kubernetes management

Join the engineering teams who have simplified their Kubernetes operations with Facets.