Architecture and Concepts

How Service Mesh Works 🔗

As shown in the following diagram, a service mesh is implemented by deploying a proxy alongside each microservice which receives configuration information from a managed control plane. The mesh uses the proxies to perform incoming and outgoing requests on behalf of your microservice application. This configuration enables the security, traffic control, and observability features of a service mesh. Specialized ingress gateway resources manage ingress traffic to the mesh.

The preceding example diagram shows a high-level diagram displaying Service Mesh with two services enclosed in a mesh. Each service is connected to a proxy. The proxies bring incoming and outgoing traffic to each service. An access policy is required to allow outgoing traffic from the mesh.

The preceding diagram shows the BookInfo sample application deployed on a Service Mesh. Ingress traffic is routed through an ingress gateway and ingress gateway route table to the main Product Page service. The different versions of the Reviews service represent virtual deployments for that service. Access policies are set up to determine service to service communication.

Service Mesh Resource Overview 🔗

In practice, a service mesh is composed of resources that are logically mapped to key components in your application. A mesh is a top-level resource that includes all mesh resources that represent a microservice within an application. Virtual services, ingress gateways, and access policies are contained in a mesh.

A Virtual Service is a logical representation of a service in a service mesh. A virtual service might contain virtual deployment, virtual deployment bindings, and virtual service route table resources. Different versions of a virtual service are defined using virtual deployments. Virtual service route tables can be defined to route traffic to specific virtual deployments. Virtual deployment bindings are generated to associate virtual deployments with the pods in an application cluster.

Ingress gateways manage ingress traffic to the mesh. For example, security can be configured to enable encryption on all incoming/outgoing traffic using TLS (Transport Layer Security). An ingress gateway might contain ingress gateway deployments and ingress gateway route tables. Ingress gateway route tables define rules to route traffic to virtual services. An ingress gateway deployment generates the configuration information to deploy the proxy software to the application cluster. Finally, access policies define access rules for communication between virtual services and to external services.

The following diagram defines the relationships between each of the Service Mesh resources.

The preceding diagram shows a service mesh that includes three components: a virtual service, ingress gateway, and access policy. The virtual service has two components: virtual deployment and virtual service route table. The ingress gateway component has an ingress gateway route table component.

Service Mesh Related Concepts 🔗

Service Mesh relies on various cloud and network resources. The following is a list of key concepts related to Service Mesh.

Application

An application is a program or group of programs (service) designed to run together and accomplish their intended tasks. Websites are a classic example of an application which is made up of a front-end program and a backend program.

Certificate Authorities

A certificate authority (CA) issues certificates and subordinate CAs. CAs exist to certify the ownership of a public key in a given certificate. A CA certificate authenticates the CA signature on the certificates that the CA issues. CAs exist in a hierarchy where the CA at the top is known as the root CA and any CA that exists within the hierarchy is a subordinate CA.

A CA hierarchy establishes a chain of trust (or certification path) in which each entity signs the entity below it in the chain. The root CA is self-signed. For a certificate to be trusted, the root CA must be a trusted root CA according to the endpoint performing the validation.

Microservices

Microservices are an architectural approach to developing a single application as a suite of small services. Each service runs in its own process and communicates with lightweight mechanisms such as HTTP. These services are built around business capabilities and use automated deployment techniques. The services have minimal centralized management and might be written in different programming languages using different data storage technologies. For a more detailed definition, see: martinfowler.com: Microservices.

Mutual Transport Layer Security (mTLS)

Mutual TLS, or mTLS for short, is a method for mutual authentication. mTLS ensures that the parties at each end of a network connection are who they claim to be by verifying that they both have the correct private key. The information within their respective TLS certificates provides more verification.

OCI Service Operator for Kubernetes

The OCI Service Operator for Kubernetes makes it easy to create, manage, and connect to OCI resources from a Kubernetes environment. Kubernetes users can simply install OCI Service Operator for Kubernetes and perform actions on OCI resources using the Kubernetes API. The OCI Service Operator for Kubernetes removes the need to use the OCI CLI or other OCI developer tools to interact with a service API.

OCI Service Operator for Kubernetes is based on the Operator Framework, an open source toolkit used to manage Operators. It uses the controller-runtime library, which provides high-level APIs and abstractions to write operational logic and also provides tools for scaffolding and code generation for Operators.

Proxy

An intermediary server between a client requesting a resource and an application providing that resource. Instead of a request going directly to an application such as a web page, the request goes to the proxy. Then, the proxy authenticates and load balances the request. The proxy talks to the application and provides the client the resources for that request.

OCI Service Operator for Kubernetes provides a seamless experience for managing and connecting to OCI container-native applications. After installing OCI Service Operator for Kubernetes, Kubernetes users can perform actions on OCI resources like Service Mesh using the Kubernetes API rather than the OCI CLI or other OCI developer tools. OCI Service Operator for Kubernetes is based on the Operator Framework, an open source toolkit used to manage operators. It uses the controller-runtime library, which provides high-level APIs and abstractions to write operational logic and also provides tools for scaffolding and code generation for operators.

Telemetry

Measuring the networking performance of applications. To measure performance, you look at:

Latency

The time it takes for an application to respond.

Traffic

The number of requests that your service gets. Some examples are HTTP requests, or queries per second for the database in your application.

Saturation

The limit of requests that your service can handle. For example, the maximum number of database queries per second that your service can handle.

TLS

Transport Layer Security (TLS), the successor of the now-deprecated Secure Sockets Layer (SSL), is a cryptographic protocol designed to provide communications security over a computer network.

Service Mesh Concepts 🔗

Given the preceding overview, this section provides a deeper dive into each of the resources in Service Mesh. The following is a detailed list of the resources and concepts used in Service Mesh.

Mesh

Mesh is the top-level container resource that represents the logical boundary of application traffic between the services that reside within it. With the resources in a service mesh, you can manage the traffic coming into the mesh, define the services available in the mesh, and manage the traffic between the services you define. To manage your mesh, the following resources are used:

• Virtual Services
• Ingress Gateways
• Access Policies

For more information on service meshes, see:

• Managing Meshes
• Managing Meshes with kubectl

Virtual Service

A Virtual Service is a logical representation of a service in a service mesh. Each virtual service has its own configuration for the service host name, TLS certificates (client and server), and Certificate Authority bundles. Virtual services support multiple versions through virtual deployments. Also, the virtual service also contains route tables which route virtual service ingress traffic to specific versions of the service.

A virtual service might contain:

• Virtual Deployments
• Virtual Service Route Tables
• Virtual Deployment Bindings

For more information on virtual services, see:

• Managing Virtual Services
• Managing Virtual Services with kubectl

Virtual Deployment

A virtual deployment is a version of a virtual service in the mesh. Conceptually, it maps to a group of instances/pods running a specific version of the actual microservice. Each virtual deployment has its own configuration for service discovery type, host name, network protocol, and logging.

For more information on virtual deployments, see:

• Managing Virtual Deployments
• Managing Virtual Deployments with kubectl

Virtual Service Route Table

A virtual service route table contains a list of routing rules which are used to manage the ingress traffic to a virtual service. Route rules route requests to specific virtual deployments of a virtual service. The route rules allow the developers to split traffic based on protocol and path.

For more information on virtual service route tables, see:

• Managing Virtual Service Route Tables
• Managing Virtual Service Route Tables with kubectl

Virtual Deployment Bindings

A virtual deployment binding associates the pods in a Kubernetes cluster to a virtual deployment in a mesh. This binding resource enables automatic sidecar injection and pod discovery for proxy software. Automatic version upgrades for proxy software are enabled in the config map.

For more information on virtual deployment bindings, see:

• Creating a Virtual Deployment Binding
• Managing Virtual Deployment Bindings with kubectl

Ingress Gateways

An ingress gateway allows resources that are outside of a mesh to communicate to resources inside the mesh. The ingress gateway sits on the edge of a service mesh receiving incoming HTTP/TCP connections to the mesh. You can specify host names and listening ports for inbound traffic to your mesh. Also, you can choose which protocols (for example, HTTP, TCP) and whether secure connections are required with TLS. Ingress gateways also support mTLS which provides encryption and authentication for inbound connections. Encrypted connection options can be configured with Oracle Cloud Infrastructure Certificate Service to automatically manage certificates. Finally, you have the option of specifying a passthrough and letting your virtual service handle connection options.

Ingress gateways provide flexible routing policies based on protocol, path, and port. Log and metrics options provide visibility over external requests.

For more information on ingress gateways, see:

• Managing Ingress Gateways
• Managing Ingress Gateways with kubectl

Ingress Gateway Route Tables

Each ingress gateway can have one or more route tables that specify the rules for incoming requests and direct them to virtual services within the mesh. Rules are based on protocol and path. When the HTTP protocol and path are specified, routing options are included for gRPC headers, path rewriting, and host name rewriting. Priorities can be assigned to each rule and weights for destination virtual services.

For more information on ingress gateway route tables, see:

• Managing Ingress Gateway Route Tables
• Managing Ingress Gateway Route Tables with kubectl

Ingress Gateway Deployments

After an ingress gateway is created, you can deploy the proxy software to the application cluster configured as an ingress gateway (different from Kubernetes Ingress resources). An ingress gateway deployment is created for this purpose. The deployment offloads the management of the deployment and pods backing the ingress gateway to OCI Operator for Kubernetes. An ingress gateway deployment is only required for Kubernetes-based workloads. The deployment is local to the cluster and is not replicated back to the Service Mesh control-plane.

Note

OCI Operator for Kubernetes is an open source Kubernetes add-on that allows users to manage OCI resources through the Kubernetes API. OCI Operator for Kubernetes makes it easy to create, manage, and connect to OCI resources from a Kubernetes environment and using Kubernetes tooling. OCI Operator for Kubernetes can be used on Kubernetes clusters running on OCI Kubernetes Engine (OKE) or outside OCI.

For more information on ingress gateway deployments, see:

• Creating an Ingress Gateway Deployment Binding
• Managing Ingress Gateway Deployment Bindings with kubectl

Access Policies

An Access Policy sets access rules to virtual services in a mesh. By default all requests are deny-all if no access policy exists. The use of access policies in mesh networks allows administrators to control how services communicate with one another. Access policies work on three categories of traffic.

• Internal Mesh Traffic: The requests that are flowing between virtual services within a mesh.
• Ingress Traffic: The requests that a virtual service receives from clients outside a mesh.
• Egress Traffic: The requests that a virtual service makes to services/applications outside a mesh.

For more information on access policies, see:

• Managing Access Policies
• Managing Access Policies with kubectl

Internal Mesh Traffic

By default, a mesh enforces a "Deny All Traffic" policy for traffic between virtual services. Virtual services are not able to call each other and the destination proxy instance rejects any requests. Policy statements are required to allow traffic between virtual services. After a policy is created, the following rules are evaluated:

• If a policy exists for the source and the destination virtual service that matches the request, allow the request.
• If no access policies exist, deny the request.

Ingress and Egress Traffic

External Services are the set of clients and services that invoke the services within the mesh. These external services could be applications hosted in another service mesh or standalone applications not part of any service mesh. From the client proxy's perspective, these services are not in the same service mesh.

By default, the service mesh denies requests to and from all external services. To allow traffic inside a mesh, add policy statements to allow ingress and egress traffic. Rule evaluation is the same as the rules laid out in the preceding definition.

Service Mesh Processes 🔗

After deployment to a Kubernetes cluster, the cluster runs three processes that are essential to the working of Service Mesh. These processes require permissions for proper functioning.

1. Mesh Kubernetes Operator: The OCI Service Operator for Kubernetes contains the mesh Kubernetes operator which manages the lifecycle of all mesh custom resources. The Kubernetes operator is also responsible for performing control plane operations.
2. Mesh Proxies: Mesh proxies run next to the application containers and connect with Service Mesh backend to download various configurations for traffic routing, security, and so on.
3. Logging Agent: Service Mesh provides rich access logs for Observability which is achieved through a logging agent. The logging agent connects with the Logging backend to publish the logs.