batch workloads are common in any large scale applications, due to the huge data and long processing to some of the activities, the compromise between processing time and the cost is always the challenge, especially when your processing time is not constant across the day and you need a lot of resources for a small amount of time.AWS has a wide range of services that are advantageous for batch workloads. AWS introduced AWS Batch that makes provisioning compute resources flexible and simple, and processing is faster. In this blog post, we will explore this service and see how to utilize it in our real production life. with batch processing, you run jobs asynchronously and automatically across one or more computers. in many scenarios, they may dependencies, which makes the sequencing and scheduling of multiple jobs complex and challenging
AWS Batch is a fully managed aws services. It manages the queuing and scheduling of your batch jobs, and the resources required to run your jobs. One of AWS Batch’s great strengths is the ability to manage instance provisioning as your workload requirements and budget needs change. AWS Batch takes advantage of AWS’s broad base of computer types. For example, you can launch compute based instances and memory instances that can handle different workload types, without having to worry about building a cluster to meet peak demand.
Financial Service: such services require high-performance computing, for example Post-Trade Analytics. Fraud Surveillance.
Medial & Life Sciences: Drug Screening and DNA Sequencing.
Media: Rendering, Transcoding, and Media Supply Chain.
• Compute environments: Job queues are mapped to one or more environments whether it’s a managed or non managed one.
• Job queues: Jobs are submitted to a job queue, where they reside until they are able to be scheduled to a compute resource. Information related to completed jobs persists in the queue for 24 hours.
• Job definitions: AWS Batch job definitions specify how jobs are to be run. Some of the attributes specified in a job definition:
• Jobs: Jobs are the unit of work executed by AWS Batch as containerized applications running on Amazon EC2.
• Job Scheduler: The scheduler evaluates when, where, and how to run jobs that have been submitted to a job queue.
Jobs submitted to a queue can have the following states:
to know more about AWS batch resource limitation you check this URL we have appended a screenshot of the limits though so you can have all the info needed at one place
AWS Batch provisions your instances. This allows you to make better throughput and cost trade-offs depending on the sensitivity of your workload. Feel free to experiment Try AWS Batch on your own to get an idea of how they help you run your specific workload. AWS PS managed services can definitely help you to set the well architect design fro your infrastructure.
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