WorkHub
This template allows you to create an automatic system to erase data that you have saved in Amazon S3 Glacier. It constructs a workflow that verifies the data, processes it, and erases it from your vault without any risk. It also informs you that you can understand what is going on at every stage. You don't need to script or assemble anything from scratch. The template uses CloudFormation to implement the complete setup in only a few clicks.
It's beneficial for any team or business that needs to clean up old data, remain under data retention policies, and reduce storage costs.
Here's why this template can be a game changer for you:
Saves time – No need for manual labor to delete archived information.
Fewer errors – The process is automated, therefore there is less room for errors.
Follow rules – Helps with data retention and compliance with regulations.
Saves money – Eliminates unused information, which lowers storage costs.
Gives you control – You choose when and what to delete, and the system takes care of the rest.
This allows you to spend less time maintaining your real work and not have to be concerned with removing old data.
This template is perfect for:
IT and cloud teams with lots of archived data.
Companies that archive data in the long term need to clean it up periodically.
Organizations that have policies to remove old files after some time.
Anyone with Amazon S3 Glacier who would prefer an easier method to manage deletions.
It's most useful when your vaults are becoming too large, you wish to enhance data management, or you're implementing a system to comply with rules.
The following are the major elements of this automated system:
User – The system or individual that initiates the deletion request.
CloudFormation – Deploys all the AWS services required to execute the process.
Amazon S3 Glacier Vault – Your stored data is here.
Lambda (Custom Resource) – The logic that governs how deletion occurs.
Lambda (Initiate State) – Initiates the process.
Lambda (Delete Archives) – Deletes the archive from Glacier.
Lambda (Download Archives) – Downloads data prior to deletion, if necessary.
Step Functions – Directs and monitors every step of the deletion process.
SNS (Simple Notification Service) – Triggers alerts and updates regarding the process.
Glue – Processes metadata regarding your files.
Athena – Allows you to query to verify your data prior to deletion.
S3 Inventory Bucket – Stores information of the archives you've processed.
Each component has a specific function. They all work together to ensure that only the correct data is deleted and that everything occurs in an obvious, structured manner.
If you're ready to get started with this template, here's how you can locate it in Cloudairy:
Sign in to your Cloudairy account.
Go to the Templates page.
Search for "Guidance for Automated Deletion of Vault Archives in Amazon S3 Glacier."
Click the template to open it.
Take a look at the setup. You can customize it to your liking.
Click "Use Template" to get going.
That's it, you're ready to go.
It's easy to use this template, even if you're not an expert:
Choose the template from Cloudairy's library.
Insert or modify AWS services such as Lambda or Step Functions if required.
Collaborate with your team to review and complete the design.
Use Cloudairy tools to see how every element is connected and functioning.
When you are ready, export it for deployment in your AWS environment.
It all comes together easily, so you always know what's going on and where things are headed.
Archived data in Amazon S3 Glacier doesn't have to be difficult to manage. This template provides you with an entire system to automate the deletion process. It employs tools such as AWS Lambda, Step Functions, SNS, and Glue to cover everything from beginning to end. You don't have to be concerned about missing files, rule-breaking, or doing it all manually. The system is designed to be simple, secure, and efficient. You save time, save money, and remain compliant with data rules, all without having to lift a finger once it's configured.
If you've been procrastinating about cleaning up your old Glacier data, now is your opportunity to do it properly, with less work and greater control.
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