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Showing results for tags 'batch'.
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Today’s post is the first in a series that will provide the reasons for why administrators and architects should build batch processing platforms on Google Kubernetes Engine (GKE). Kubernetes has emerged as a leading container orchestration platform for deploying and managing containerized applications, speeding up the pace of innovation. This platform is not just limited to running microservices, but also provides a powerful framework for orchestrating batch workloads such as data processing jobs, training machine learning models, running scientific simulations, and other compute-intensive tasks. GKE is a managed Kubernetes solution that abstracts underlying infrastructure and accelerates time-to-value for users in a cost effective way. A batch platform processes batch workloads, defined as Kubernetes Jobs, in the order they are received. The batch platform might incorporate a queue to apply your business case logic... -
An End-To-End Tutorial for Beginners View the full article -
Amazon Transcribe is an automatic speech recognition (ASR) service that you can use to add speech-to-text capabilities to your applications. Starting today, AWS customers can use AWS PrivateLink to access the Amazon Transcribe batch API from their Amazon Virtual Private Cloud (Amazon VPC) without using public IPs or requiring the traffic to traverse the Internet. AWS PrivateLink provides private connectivity between VPCs and AWS services, without ever leaving the Amazon network. With this launch, AWS PrivateLink is now supported for both Batch and Streaming APIs. View the full article -
You can now control access to AWS Batch resources based on tag values. View the full article
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Today AWS Batch introduced the ability for customers to specify AWS Fargate as a compute resource for their AWS Batch jobs. With AWS Batch support for AWS Fargate, customers now have a way to run jobs on serverless compute resources, fully managed from job submission to completion. Now, you only need to submit your analytics, map reduce, and other batch workloads and let AWS Batch and AWS Fargate handle the rest. View the full article
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