Integrate AWS S3 with Marjory and automate your data workflows.
Improve efficiency and accuracy in your processes.
If you use both Amazon S3 and Google Cloud Storage (GCS) to store data, you need to automate the transfer of files from an S3 bucket to a specific GCS bucket.
This process can run regularly, for example hourly or daily, to ensure that data is always synchronized between the two cloud storage services.
Amazon S3 is a highly scalable and secure object storage service offered by Amazon Web Services (AWS). It allows IT teams to store and retrieve any amount of data in the cloud.
Marjory provides various options for integrating AWS S3 into your automation workflows. Here’s a general overview: Our visual no-code interface offers pre-built connectors for AWS S3. You can easily use these connectors into your workflows to perform actions like uploading, downloading, deleting, and listing files within your S3 buckets. For more advanced users, Marjory offers a low-code interface. This approach offers greater flexibility.
Marjory provides comprehensive monitoring tools to keep track of your AWS S3 integration and automation:
Workflow Logs: Each Marjory workflow execution is logged in detail, including successful and failed interactions with AWS S3. This allows you to pinpoint any errors or bottlenecks.
Job History: View the history of all your AWS S3 automation jobs, including timestamps, statuses, and transferred data amounts.
Alerts and Notifications: Set up alerts to be notified of any issues with your AWS S3 integration, such as failed transfers or exceeding storage quotas.
Marjory is a SaaS suite of Middleware for Midsize Enterprises, covering the main challenges of Data integration: ESB, ETL, iPaaS etc.
As an all-in-one tool, Marjory gives its clients the best way to simplify their technology stack, enhance efficiency, and optimize their operations.