Do you have large amount of historical data to manage? Then, think about Amazon Glacier


  • Do you have lot of historical data to manage for future audits?
  • Do you have lot of user transactions data/purchase order history to manage?
  • Do you have lot of system logs to manage for future reference?
  • Are you a medical agency where you have lot of medical records history to manage?

                   If you are searching for cost effective way to manage this kind of huge archived data, Amazon Web services has AWS Glacier to manage your data. Amazon Glacier is secure, durable and low cost. The data stored in Glacier is encrypted and the data is redundantly stored across the multiple facilities.

                 Through AWS console, you can create the Vault, nothing but your archive holder. Under each vault you can keep 40 TB of data and under each AWS account we can maintain 1000 vaults. If you have AWS S3 and if you want to push S3 data to Glacier, you can create S3 life cycle rules to integrate S3 and Glacier.

             From the AWS console you can not upload the data to Glacier. To upload the data you need to use AWS api’s/3rd party glacier integration provider tools. When you want to retrieve the data from Glacier, submit the retrieval job, then your data will be available in 3-4 hrs of time.

For more information, go through this.


Siva Janapati is an Architect with experience in building Cloud Native Microservices architectures, Reactive Systems, Large scale distributed systems, and Serverless Systems. Siva has hands-on in architecture, design, and implementation of scalable systems using Cloud, Java, Go lang, Apache Kafka, Apache Solr, Spring, Spring Boot, Lightbend reactive tech stack, APIGEE edge & on-premise and other open-source, proprietary technologies. Expertise working with and building RESTful, GraphQL APIs. He has successfully delivered multiple applications in retail, telco, and financial services domains. He manages the GitHub( where he put the source code of his work related to his blog posts.

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One comment on “Do you have large amount of historical data to manage? Then, think about Amazon Glacier
  1. says:

    Nice article, It was practical.

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