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Developer tools · #traefikmesh
Decide between Traefik Mesh Operator and manual CRD configuration. Learn how to balance mTLS automation against granular control and implement weighted traffic splitting.
Learn how to shift a fraction of traffic to a new service version with Traefik Mesh’s TrafficSplit resource, verify the split with Prometheus metrics, and understand the operational constraints.
Learn how Traefik Mesh uses sidecar proxies and mTLS to eliminate implicit trust in Kubernetes clusters, moving from IP-based security to a Zero Trust identity model.
Guide to route a percentage of requests to different service versions using a TrafficSplit custom resource in Traefik Mesh.
Traefik Mesh uses gateway proxies and automated mTLS to secure multi-cluster service traffic without per-pod sidecars, with routing controlled via TrafficRoute CRDs.
Traefik Mesh implements a zero-trust architecture by utilizing a central Certificate Authority (CA) to distribute identities to sidecar proxies via Kubernetes secrets. This mechanism ensures that mutual TLS (mTLS) is enforced for all inter-service communication based on SPIFFE-like identity standards. A critical requirement for maintaining mesh security is t
Evaluation of Traefik Mesh for new Kubernetes workloads that require automatic mTLS, traffic routing and observability is constrained by documented coupling between components and product support status. Traefik Mesh is built around a control plane and data plane that are intended to be used as a matched set. Mesh features such as traffic splitting, canary r
Traefik Mesh implements a permissive default posture where services are reachable by any other meshed workload upon joining the mesh. To prevent accidental internal exposure, the mesh provides an ACL mode based on the Service Mesh Interface (SMI) TrafficTarget specification. When transitioning from a permissive setup to a restrictive one, the primary goal is
kubernetes