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Another challenge with distributed systems is being able to trace a client request through the entire call chain of services. However, a service mesh can integrate with distributed tracing systems such as Jaeger or Zipkin to make this easier. Note this often requires some modification to application code to add a special trace identifiers to each request.
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Another challenge with distributed systems is being able to trace a client request through the entire call chain of services. However, a service mesh can integrate with distributed tracing systems such as Jaeger or Zipkin to make this easier. Note this often requires some modification to application code to add a special trace identifiers to each request.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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The data plane is often implemented by automatically injecting a service proxy into a pod using the sidecar pattern. More often then not, you'll find Envoy Proxy as part of the implementation. The proxy container sits next to a service container in a pod and the two containers communicate over the local loopback interface.
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It is very common that a service mesh deploys a control plane and a data plane. The control plane does what you might expect; it controls the service mesh and gives you the ability to interact with it. Many service meshes implement the Service Mesh Interface (SMI) which is an API specification to standardize the way cluster operators interact with and implement features.
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osm
Discontinued Open Service Mesh (OSM) is a lightweight, extensible, cloud native service mesh that allows users to uniformly manage, secure, and get out-of-the-box observability features for highly dynamic microservice environments.
If you'd like to go a bit deeper into service mesh technology, be sure to check out the resources listed below then head over to the Open Service Mesh with Azure Kubernetes Service lab to get hands-on and see a service mesh in action! Open Service Mesh is an open-source, lightweight service mesh that is easy to install and operate, so I encourage you to take it for a spin 🚀
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gateway-api
Repository for the next iteration of composite service (e.g. Ingress) and load balancing APIs.
Keep an eye on the Gateway API GAMMA Initiative as it is currently evolving with the goal of streamlining how services meshes can implement the Gateway API and reduce some overlap.
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One other option that is worth mentioning is Dapr. Dapr is a microservices building block that developers can use to develop microservices. There is a bit of overlap between Dapr and service meshes and the Dapr team has done a good job of comparing the two here. The biggest takeaway when comparing the two is that Dapr does not provide traffic routing/splitting. So if you need these capabilities, then yes, you will need a service mesh.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
