How KuFlow supports Temporal as a worfkows engine for our processes?

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  • At this point it is useful to remember that when configuring a Temporal-backed process in the KuFlow APP, it is possible to download a ready-to-use Worker template that uses these connection configuration mechanisms, so you have a working example just a few clicks away. Similarly, much more information and integration examples can be found in our GitHub repository and in our documentation.

  • proposals

    Temporal proposals (by temporalio)

  • In such a diverse world, it would be boring to have a single way of doing things. That's why at KuFlow we support different ways to implement the logic of our processes and tasks. And in this post, we will talk about one of them, the orchestration through Temporal, which gives us a powerful way to manage our workflows.

  • 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.

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  • Puts Debuggerer

    Ruby library for improved puts debugging, automatically displaying bonus useful information such as source line number and source code.

  • As the last step to successfully connect to Temporal we need to create an SSL context that will be used in the negotiation with MutualTLS. For this, we need to extend the SslContext class of the SDK. The implementation depends on your needs but an example of it can be found in the following code snippet available in our example repositories on GitHub.

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