CIOPages
DirectoryDevOps & Platform EngineeringInternal Developer PlatformsDevSpace

DevSpace

Open Source

About DevSpace

DevSpace is an open-source developer tool for Kubernetes. It lets users develop and deploy cloud-native software. It is a lightweight, client-only CLI tool that uses the current kube-context. It does not require installing anything inside the cluster. It works out of the box with every Kubernetes cluster. It ships with a built-in UI for development.

Products

  • devspace deploy: Builds images and deploys the project using helm or kubectl.
  • devspace dev: Watches files and updates containers while coding.
  • devspace logs: Shows a list of all containers and lets users stream their logs.
  • devspace enter: Shows a list of all containers and lets users open interactive terminals.
  • devspace ui: Opens a localhost UI optimized for Kubernetes development.
  • devspace init: Gets a project ready to be deployed to Kubernetes in seconds.

Used for

  • Building images in parallel using Docker, kaniko or custom build commands
  • Tagging images according to a customizable tag schema
  • Pushing images to public or private registries
  • Synchronizing files between a local computer and containers
  • Streaming logs of deployed containers while coding

From DevSpace's own website, read 2026-10-23. How we build listings.

How to evaluate Internal Developer Platforms

This is how the CIOPages Research Team evaluates this category. It is not an assessment of DevSpace. It comes from our Internal Developer Platforms (IDP) buyer guide.

25%
Software Catalog & Service Ownership
Accuracy of the catalog-of-record without manual upkeep (auto-discovery from Git/cloud/Kubernetes, real-time sync), the flexibility of the entity/data model (custom component types, relationships), dependency and API mapping, and how cleanly it answers “who owns this service?” during an incident
25%
Golden Paths & Self-Service Provisioning
Software templates / scaffolder for new-service creation, day-2 self-service actions (not just day-0), whether actions actually provision infrastructure or merely file a request, workflow/automation depth, and integration with an orchestration engine (Score, dynamic config) where real provisioning is the goal
15%
Scorecards, Standards & Governance
Maturity rubrics and scorecards (production-readiness, security, reliability), the ability to set and roll up global standards across teams, automated compliance checks, RBAC granularity, SSO/SAML, and audit logging on the portal itself
15%
Integration & Ecosystem
Breadth and quality of pre-built integrations (SCM, CI/CD, cloud, observability, incident, security), Backstage plugin compatibility where relevant, API-first / IaC support (Terraform, Pulumi) for managing the portal as code, and an in-IDE / MCP path so developers stay in flow
10%
Operating Model & Total Cost to Run
Build vs. buy vs. managed fit, realistic platform-engineer headcount to operate it, upgrade burden (code changes vs. version bumps), dependency-patch cadence, hosting model (self-managed, single-tenant SaaS, multi-tenant), and SOC 2 / compliance posture of the vendor
10%
Extensibility & Developer Experience
Customization ceiling vs. floor (no-code speed against framework flexibility), how opinionated the golden paths are and whether that fits your culture, UI/search quality, TechDocs and onboarding, and evidence of sustained developer adoption rather than mandated logins

CIOPages put this listing together from public sources. It’s information, not an endorsement. How we build listings. Work here? Claim this listing or .

Quick Facts

devspace.sh
CategoryDevOps & Platform Engineering
SubcategoryInternal Developer Platforms

We publish a detail only when we can point at the page it came from. Know when DevSpace was founded or where it is based? Send it to us, free.

Keep reading

Buyer Guide
Internal Developer Platforms (IDP)
Job 03
Choose and buy technology

Every vendor now sells AI features, and each contract runs for years.

CIOnomics
The technology economy, in figures

Weekly stories built from government data: tech jobs, software prices, AI adoption and more.