Compare
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.
