About Split
Split's platform allows teams to monitor the impact of gradual releases. The platform also manages runtime configuration and AI configs alongside feature flags.
Products
- Feature Flags: Provides progressive rollouts, targeting, and kill switches without redeploying.
- Configs: Provides runtime configuration that is versioned and schema-validated.
- AI Configs: Allows swapping prompts, models, and parameters at runtime.
- Experimentation: Runs A/B testing across flags, configs, and AI configs with sequential testing and guardrail metrics.
- Release Monitoring: Detects release impact automatically and triggers rollbacks.
Used for
- Creating, targeting, and managing feature flags
- Monitoring feature impact on system performance and user behavior
- Running A/B tests across flags, configs, and AI configs
- Launching features to specific segments without engineering tickets
- Swapping prompts and models at runtime for AI agents
Who it is for
- Product Managers
- Developers
- Data Scientists
- Engineering Leaders
From Split's own website, read 2026-10-23. How we build listings.
How to evaluate GitOps & Release Management
This is how the CIOPages Research Team evaluates this category. It is not an assessment of Split. It comes from our GitOps & Continuous Delivery buyer guide.
25%
Reconciliation & Drift Handling
Pull-based sync correctness, drift detection and auto-heal, sync waves/hooks and ordering, health assessment of custom resources, dry-run/diff before apply, and graceful behavior on partial-sync failure and stuck resources
20%
Multi-Cluster & Fleet Scale
Cluster count the architecture sustains, ApplicationSets / bundles / agent fan-out, central control plane vs. autonomous in-cluster reconciliation, multi-tenancy and project isolation, and config templating across environments
20%
Progressive Delivery
Canary and blue-green strategies (Argo Rollouts, Flagger), automated analysis against metrics (Prometheus, Datadog), automatic rollback on SLO breach, multi-stage environment promotion (e.g. Kargo), and traffic shaping via the service mesh or ingress
15%
Secrets & Supply-Chain Security
Keeping plaintext out of Git (Sealed Secrets, External Secrets Operator, SOPS, CSI driver), RBAC and SSO on the control plane, signed-commit/manifest verification, image and provenance policy, and immutable audit of every sync
12%
Governance & Policy-as-Code
OPA/Gatekeeper or Kyverno admission gates, change approval and PR-based workflows, drift and compliance reporting, blast-radius controls (sync windows, freeze), and separation of duties across app and platform teams
8%
Operability & Support Model
Self-host vs. managed/SaaS, upgrade and HA burden of the control plane, UI and observability quality, day-2 troubleshooting, and whether a vendor SLA and roadmap back the open-source core you depend on
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Quick Facts
split.io Pricing pageCategoryDevOps & Platform Engineering
SubcategoryGitOps & Release Management
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