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Wyatt Johnson
99 lines
3.8 KiB
Markdown
99 lines
3.8 KiB
Markdown
---
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title: Microservice Deployments
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keywords: install
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sidebar: talk_sidebar
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permalink: install-microservices.html
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summary:
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---
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In Talk, we seek to deliver the simplicity of a monolith with the advantages of
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a microservice based infrastructure for those who want them.
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To accomplish this, Talk has the ability to run with subsets of its overall
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functionality and contains architecture that allows them to operate logically as
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microservices when running in a single environment.
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## Talk Server Functionalities
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The Talk server serves several logically/architecturally distinct functions:
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* A web server that
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* serves "public" assets (aka, the comment embed)
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* the GraphQL endpoints
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* A web socket server that handles subscriptions.
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* A jobs processor that handles queued operations.
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In the documentation so far, we've discussed how to deploy all of these
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functionalities bundled into a single monolith application. This is convenient
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as there is minimal configuration and horizontal scaling is as easy as upping
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the number of servers behind a single load balancer.
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## Separating Talk into Microservices
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Talk can be run in two or more separate clusters of servers by
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enabling/disabling different bits of functionality: webserver, socket server and
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jobs server.
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Each microservice would deploy with the same codebase and configuration.
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Note that the `cli serve` command, which is responsible for starting the server,
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contains flags that control whether `jobs` and `websockets` are enabled.
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```
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talk :) ]$ bin/cli serve --help
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Options:
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...
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-j, --jobs enable job processing on this thread
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-w, --websockets enable the websocket (subscriptions) handler on this thread
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...
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```
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Each Talk Microservice cluster can be deployed in an identical manner described
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in the other docs in this section with the omission of the `-j` and/or `-w`
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flags.
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With routing logic in front of the webserver cluster, separation between public
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and protected assets can be achieved.
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## When should I consider separating?
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Consider a microservice deployment if:
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* you are running plugins that require intensive job processing
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* you do not want to simplicity of single cluster horizontal scaling and want to
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tune the economy and performance of your install.
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* You run into scaling issues serving websockets
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At scale, combining separate concerns in a single process makes it very
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difficult to understand what is taking up resources. With microservices, each
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server could be configured to sit behind it's own load balance and scale
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independently. Each variety of process can always have just enough resources.
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An install that heavily utilizes the jobs queue could see delays in http service
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because of heavy jobs processes and/or delays in the execution of jobs processes
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due to increased server load as a result of Node's single thread infrustructure.
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## Deployment Methodologies
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Note that there is no flag to separate the http routes on the webserver.
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Separating the http server functionalities can be accomplished by the routing of
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various routes to the correct http server via an external upstream proxy like
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Google Cloud's Load Balancer, AWS's ELB, or a websever like NGINX/Apache. This
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can ensure that sensitive areas, such as the `/admin/` route are not available
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outside the firewall.
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Talk's job processors are synchronized by Redis, so as long as all Talk
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instances access the same Redis cluster no additional configuration is needed
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when launching an independent jobs cluster.
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If there are any features of Talk that you believe should be disable-able via
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server flags, please let us know and consider contributing it to the project!
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## Deployment Flows/Scripts
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We do not currently support any microservice based deployment flows. If you
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develop one yourself that is completely based on open source tooling, please
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consider contributing it to the project!
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