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AWS Batch review
Ajeet Kumar Singh
Software Engineering Manager – Digital Production Optimization at Yara International ASA
Flexibility in planning and scheduling with containerized workload management has...
AWS Batch is highly flexible. It allows users to plan, schedule, and compute on containerized workloads. In previous roles, I utilized it for diverse simulations, including on-demand and scheduled computations. It facilitates creating clusters tailored to specific needs, such as memory-centric or CPU-centric workloads, and supports scaling...
AWS Batch review
Kashish Patel
Senior Battery Data Engineer at a agriculture with 51-200 employees
Enables efficient scaling and robust integration despite debugging challenges
The main feature I like about AWS Batch is its scalability. Whether ten extraction jobs or ten thousand jobs are running, it works seamlessly and scales seamlessly. The Fargate option is cost-effective and efficient, removing dependency on EC2 instances. AWS Batch also integrates with the entire AWS ecosystem, including S3, Lambda, and AWS...
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