Founding the OpenMetrics working group.
Creating a common model for event data, similar to CNI and CSI. Coalescing on a single format between a few proposals:
Cloud-Native Event Mapping (CNEM) – (iguazio)
OpenEvents – (Serverless, Inc.)
Cloud Auditing Data Federation – (IBM, DMTF)
Serverless WG: Event Specification
Atomic Unit of Compute
Increasing focus on business logic
Decreasing concern (and control) over infrastructure implementation
No compute cost when idle.
Flexible and precise scaling.
No provisioning, updating, and managing server infrastructure.
consider serverless when your workload is:
Providing cognitive computing via a chat bot interface (asynchronous, but correlated)
Scheduling tasks performed for a short time, such as cron or batch style invocations
Serving machine learning and AI models (retrieving one or more data elements such as tables, NLP, or images and matching against a pre-learned data model to identify text, faces, anomalies, etc.)
Continuous integration pipelines that provision resources for build jobs on-demand, instead of keeping a pool of build slave hosts waiting for jobs to be dispatched
some of these include:
Developer: writes code for, and benefits from, the serverless platform which provides them the point of view that there are no servers nor that their code is always running.
Servers are still required to run a serverless platform.
The provider will need to manage servers.
And will have some cost for running the platform, even when idle.
A self-hosted system can still be considered serverless:
typically one team acts as the provider and another as the developer.
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