OIDC, SPIFFE Workload Identity, Service Mesh Analysis
OIDC user identity focuses on user identity and is user-centric, whereas SPIFFE workload identity handles workload identities and authentication (e.g., services, containers).
OIDC:
Identity Representation: user-centric claims (subject, email, name)
Authentication Method: OAuth2/OIDC tokens (JWTs)
Use Cases: Web app authentication and federation
Integration: Web apps, API gateways, CI/CD tools
Trust Domain: Defined by the IdP
SPIFFE Workload Identity:
Identity Representation: SPIFFE ID (e.g., spiffe://trust-workload-name)
Authentication Method: X.509 certificates or JWTs
Use Cases: Service-to-service authentication
Integration: Kubernetes, service mesh, multiple cluster/cloud environments
Trust Domain: defined by SPIFFEE trust domains
OIDC and SPIFFE can work together.
Bridging user and work authentication; SPIFFE can authorize workloads acting on behalf of a user authenticated via OIDC
Interoperable Tokens: SPIFFE certificates or tokens can interoperate with systems expecting OIDC-based tokens
Combined Policies: Policies can be created for both OIDC user identities and SPIFFEE workload identities. For example, a specific user (via OIDC) may trigger a workload authenticated by SPIFFE
Complementary Functions: OIDC authenticates the user to a service, while SPIFFE secures subsequent service-to-service communication using workload identities
ONAP Context:
In ONAP, user identities via OIDC are used alongside a Service Mesh, which secures service-to-service communication within a single cluster (with SPIFFE, a service mesh can work across multi cluster/clouds).
A direct comparison of service-to-service security should focus on Service Mesh vs. Workload identity.
SPIFFE vs. Service Mesh:
SPIFFE workload identity:
Focus: Securely identifying workloads
Core features: Providing unique, verifiable identities for workloads, mTLS; short-lived certificates or tokens
Use Case: Service-to-service authentication, federated identity across clusters or clouds
Integration: Integrates with existing Kubernetes, CI/CD, and other systems
Istio Service Mesh:
Focus: Managing traffic between services
Core features: Traffic management (e.g., retries and load balancing), observability (metrics, tracing and logging), secure communication
Use case: advanced traffic routing and control, encrypting and managing service communication
Integration: integrates into the application network stack
SPIFFE and Service Mesh can work together
Complementary Capabilities: SPIFFE provides robust workload identities and authentication, while service meshes handle traffic management, observability and security
Istio and SPIFFE Integration: Istio Service Mesh supports SPIFFE for secure microservice communication across multi-cluster or multi-cloud environments
Policies in the service mesh can leverage SPIFFE IDs, enabling fine-grained access control on workloads
OIDC-based Identities, SPIFFE-based identities, and Service Mesh handle distinct domain issues and can work together.