![]() ![]() visualize particular workflow execution or aggregate across all instance of a workflow. ![]() sometimes it isn't obvious what's changed in your workflow until you see it visually. regenerate it from your workflow code then this can be peer-reviewed at pull request.sketch it before implementing at design phase.Many reasons why you might want to build Graphviz representation for your Workflow Diagrams: Some of them come with their own visualization tools and some don't. There are multiple workflow systems availabe ( Amazon SWF, Amazon Step functions, Netflix conductor, Uber Cadence, Camunda etc). (you can play with Architecture Diagram example here) } MessageArchitecture messageClient messageClient messageBackend messageBackend messageClient->messageBackend sendMessage messageQueue messageQueue messageNotifier messageNotifier messageQueue->messageNotifier messageDB messageDB messageBackend->messageDB userService userService messageBackend->userService messageDB->messageQueue change data captrure userDB userDB userService->userDB pushNotifications pushNotifications messageNotifier->pushNotifications collaborate on design with your colleagues.check in and modify designs during implementation phase to keep design close to implemnentation.have diagrams in your code review / pull request.You are probably using LucidChart, Vizio, Google Docs shapes or similar when creating your design documents or RFCs. (you can play with Microservice Interaction example here) } ServiceInteraction apiGateway apiGateway usersService usersService apiGateway->usersService 34ms organizationService organizationService apiGateway->organizationService 552ms repoService repoService apiGateway->repoService 220ms organizationSearch organizationSearch organizationService->organizationSearch 540ms starGazerCache starGazerCache repoService->starGazerCache 200ms watchersCache watchersCache repoService->watchersCache 15ms OrganizationService->organizationSearchĪpiGateway -> repoService Here is an example graph with latencies displayed:ĪpiGateway -> usersServiceĪpiGateway -> organizationService add latencies on top of a single trace or p50/p90/p99 on top of aggregate graph.If you can create your own and visualize it. If you use distributed tracing then you might have some built-in solution for this. visualizing specific request aka trace.you can overlay number of requests on top of #1 above, so you see fanout and how traffic is distributed to microservices.With thousands of service running in production sometimes it's hard to understand the dependencies between them. general picture of the service dependencies.There are some sub-types of the interactions you care about. When you operate in a microservice environment sometimes you need to visualize what's going on. (you can play with business process example here) } BPMN start start announce announce start->announce end end join join2 join->join2 evaluate evaluate join2->evaluate wait wait moderate_conf moderate conference call wait->moderate_conf delay delay email email delay->email announce->delay moderate moderate announce->moderate check_cal check calendar announce->check_cal moderate->join2 email->join2 conf_call conference call check_cal->conf_call conf_call->join no conf_call->wait yes moderate_conf->join evaluate->end ![]()
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