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Architecting Your First Event Driven Serverless Streaming Applications on K8 // Timothy Spann (DoK Day North America 2022)
Manage episode 345952522 series 2865115
From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)
ABSTRACT
Once you have built a topic in Apache Pulsar, you will quickly see the need to build event-driven applications. This can require a lot of decisions on what framework to use, where to run it, how to deploy it, and how to manage these applications on Kubernetes cloud natively.
I will walk you through step-by-step in building Pulsar Functions which is the easy way to design, test, develop, integrate, deploy, monitor, and manage serverless streaming applications in Java and Python.
Together we will build a full application as an Apache Pulsar function and enjoy the power of running it in the cloud for IoT events and add any routing, transformation, or machine learning that we need to accomplish our business requirements.
Through FunctionMesh we run on Kubernetes natively.
In this talk, you will deploy ML functions to transform real-time data on Kubernetes.
243 epizódok
Manage episode 345952522 series 2865115
From the DoK Day North America 2022 (https://youtu.be/YWTa-DiVljY)
ABSTRACT
Once you have built a topic in Apache Pulsar, you will quickly see the need to build event-driven applications. This can require a lot of decisions on what framework to use, where to run it, how to deploy it, and how to manage these applications on Kubernetes cloud natively.
I will walk you through step-by-step in building Pulsar Functions which is the easy way to design, test, develop, integrate, deploy, monitor, and manage serverless streaming applications in Java and Python.
Together we will build a full application as an Apache Pulsar function and enjoy the power of running it in the cloud for IoT events and add any routing, transformation, or machine learning that we need to accomplish our business requirements.
Through FunctionMesh we run on Kubernetes natively.
In this talk, you will deploy ML functions to transform real-time data on Kubernetes.
243 epizódok
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