Using Traefik Mesh TrafficSplit for Safe Canary Deployments
Learn how Traefik Mesh TrafficSplit enables weighted canary releases without code changes, including setup, verification via Prometheus, and key limitations.
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Learn how Traefik Mesh TrafficSplit enables weighted canary releases without code changes, including setup, verification via Prometheus, and key limitations.
Guidance on requirements, minimal design, trust boundaries, operational checks, failure scenarios and rollback when enabling Istio‑based mTLS in OpenShift Service Mesh.
Decide between Traefik Mesh Operator and manual CRD configuration. Learn how to balance mTLS automation against granular control and implement weighted traffic splitting.
Stop relying on fragile firewall rules. Learn how to use Consul Connect Intentions to declaratively control service-to-service communication without changing a single line of code.
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.
Compare Envoy's built-in load balancing algorithms (Round Robin, Least Request, Ring Hash, Maglev, Random) for service-to-service traffic. Learn trade-offs, session affinity, failover behavior, and how to validate your choice in Envoy 1.28+.
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.
Deploy Red Hat OpenShift Service Mesh using sidecar injection to secure, observe, and make microservices resilient. This architecture note covers requirements, design, trust boundaries, operational checks, failure modes, and when to change the design.
A technical guide on selecting the optimal Envoy load balancing policy, comparing Round Robin, Least Request, and Consistent Hashing to optimize backend performance.