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The difference to the client-server solution is subtile when it comes to the details in implementation. protoc-gen-go and other plugins in the Protocol Buffers ecosystem use this approach.
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They dynamically load, interpret and execute Go code. The folks at Traefik Labs have created Yaegi to do this. This allows for calling into the plugin code by using an interface and a bit of reflection magic of the runtime. Because the code is loaded and interpreted only once the performance penalty is only a the startup. But, it increases the complexity.
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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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terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
Terraform, Protocol Buffers, Waypoint or Traefik have build a flourishing ecosystem by using the Go programming language and providing pluggable interfaces. But, not all pluggable interfaces in Go are created equal. There is more than one solution to the problem.
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Plugins are standalone Go programs (executables) that the main program executes. The main program runs a server that the plugin can connect to when run. The connection information are passed to the plugin as parameters or environment variables. Client and server commonly communicate via gRPC. Which allows for efficient communication, sharing the used interface and code generate client and server boilerplate.
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Plugins are again executable that the main program runs. But in contrast to the client-server communication via gRPC the main program and the plugin communicate via the standard OS streams stdin / stdout with each other. In order to standardize the communication, many of the programs use Protocol Buffers.
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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.
