specification VS wg-serverless

Once you have defined the workflow on a diagram, a JSON, following the Serverless workflow specification, is stored in KuFlow. With this specification, we can use all the great tools/libs that are developed.

Among workflow languages out there, we choose Serverless Workflow. It's a vendor-neutral, open-source and community-driven workflow ecosystem. The workflow definition can be written in JSON or YAML format. And then there are SDKs available in various programming languanges, like Java, Go, TypeScript, .NET, Python.

This example happens to be from Google, but you can compare similar config-driven syntaxes from Argo, Amazon, and Airflow. The bottom line is you ultimately find yourself hand-writing the Abstract Syntax Tree of something you can read much better in code anyway:

Check out CNCF Projects. Contributing to some of these open source projects is a great way to gain skills and land a job.

would indicate if your cluster could retrieve content from cncf.io or if cncf.io is up.

This solution builds upon well-established Cloud Native Computing Foundation (CNCF) open source projects like Thanos and Prometheus,together with a new managed services, Azure Managed Grafana, recently released in public preview. It allows for ephemeral clusters to still have updated metrics without the 2-hours local storage of metrics in the classic deployment of Thanos sidecar to Prometheus.

Not ELI5 but see https://github.com/cncf/wg-serverless/tree/master/whitepaper...

Some people go monolithic app but best practice is usually one function per route.

Traditional servers come with management overhead (e.g. defining/managing/monitoring scaling) and by using Serverless servers you avoid that overhead and optimize for good engineers which are almost always your bigger cost center.

github.com/cncf/wg-serverless/blob/master/w..

As stated in a white paper by the CNCF serverless working group, there are two primary serverless personas:

The CloudEvents specification is under the CNCF Serverless working group since 2018. The spec's purpose is describing event data in a common way. This is useful in many scenarios, for example, routing events to the appropriate subscribers depending on the type of the event. Since applications can use a lot of different transports to send and receive events, the CloudEvents spec is protocol-agnostic so it defines protocol bindings in order for the metadata to be correctly mapped for HTTP, AMQP, Kafka, etc.