AutoSys Workload Automation vs. AWS Batch

Start with reviewing all your jobs, consolidating the timeline, and making a plan on what all jobs need to be prioritized. These can be optimized based on cost and performance. With a continuously changing workload, AWS Batch helps to build and automate the jobs across various resources. It also helps to manage the performance and workload.

Incentivized

• S3 amount of files
• Easy to share files to other sites
• Like that the files and folders can be open and public or completely private
• I like that you can have double or mirroring in different Data Centers for Data Recovery

Incentivized

• Jobs monitoring dashboards are not matured
• Documentation and support is something which can be improved
• Sometime i faced the slow response or slow in performance i would say

Incentivized

Key advantages include cost-effectiveness through dynamic resource provisioning and the use of spot instances. It auto-scales to meet workload demands, allowing easy job submission via the AWS Management Console or SDKs. It integrates seamlessly with other services like S3 and CloudWatch. It features automatic retries for failed jobs. It allows for a custom computing environment tailored to specific needs

Incentivized

CF did not have a way to store the videos and I did not want to do so in YouTube because of privacy reasons.

Incentivized

• Well compared to the cost of having multiple lambda's or some other custom solution working, it has has a postiive impact
• Helped in orchestrating the jobs, has saved time of developers

Incentivized