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Cyclops vs Devzero

Devzero automates environment provisioning, while Cyclops abstracts Kubernetes deployment via UI.

Side by side

What it is
Cyclops:Cyclops provides a customizable UI to deploy and manage Kubernetes applications without writing YAML, using Helm charts.
Devzero:DevZero optimizes Kubernetes and AI workloads across clouds, reducing over-provisioning and costs.
Best for
Cyclops:Form-based Kubernetes deployment UI
Devzero:Cost-aware Kubernetes right-sizing
Who it’s for
Cyclops:Platform and DevOps engineers building internal developer platforms on Kubernetes
Devzero:Engineering teams running Kubernetes clusters on any cloud or on-prem.
Pricing
Cyclops:Open source
Devzero:Freemium
Plans
Cyclops:—
Devzero:Free $0/month · Pro $5 per CPU / month per month
Open source
Cyclops:Yes, 3,320 GitHub stars
Devzero:—
Works with
Cyclops:Kubernetes, Helm
Devzero:OpenShift
DevHunt upvotes
Cyclops:33
Devzero:85
Launched on DevHunt
Cyclops:Nov 2024
Devzero:Apr 2024

Cyclops features

  • Form-based deployment. Deploy applications to Kubernetes by filling out simple forms instead of editing YAML files.
  • Customizable UI. Tailor the interface to any use case or organization within minutes.
  • Helm chart integration. Leverages existing Helm charts for deployments and dynamic UI generation.
  • Configuration validation. Validates developer input to catch misconfigurations before production.
  • GitOps ready. Works with GitOps workflows for automated, version-controlled deployments.
  • Easy integration. Integrates smoothly into existing Kubernetes workflows and tooling.

Devzero features

  • Real-time cost monitoring. Shows CPU, memory, GPU usage and cost attribution per department.
  • Workload right-sizing. Adjusts CPU, memory and GPU requests per pod to match actual demand.
  • Live migration. Instantly moves pods without restarts using checkpoint-restore.
  • Spot & GPU optimization. Selects lowest-cost instances and manages spot and GPU resources.
  • Multi-cloud support. Works with AWS, Azure, GCP, OCI, OpenShift and on-prem Kubernetes.
  • Inference optimization (beta). Measures LLM traffic and routes requests to the cheapest model with caching and failover.

Based on each tool's website and DevHunt data. Details may change; check the official sites.