{"id":14200,"date":"2022-09-05T11:54:13","date_gmt":"2022-09-05T11:54:13","guid":{"rendered":"https:\/\/blog.cloudthat.com\/?p=14200"},"modified":"2024-06-25T10:54:34","modified_gmt":"2024-06-25T10:54:34","slug":"data-lifecycle-management-on-aws","status":"publish","type":"blog","link":"https:\/\/www.cloudthat.com\/resources\/blog\/data-lifecycle-management-on-aws","title":{"rendered":"Data Lifecycle Management on AWS"},"content":{"rendered":"\n\n\n\n\n\n\n\n
TABLE OF CONTENT<\/strong><\/span><\/td>\n<\/tr>\n
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1. Introduction<\/a><\/h2>\n<\/td>\n<\/tr>\n

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2. Amazon Data Life Cycle Manager(DLM)<\/a><\/h2>\n<\/td>\n<\/tr>\n

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3. Goals of Data Life Cycle Management<\/a><\/h2>\n<\/td>\n<\/tr>\n

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4. Advantages of Data Life Cycle Management <\/a><\/h2>\n<\/td>\n<\/tr>\n

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5. About CloudThat<\/a><\/h2>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Introduction<\/h2>\n

What do you understand by Data? As we all know data is nothing but statistics, facts, or information about a particular entity. So, by this, we can understand how important data could be. Let us imagine a scenario over here. One day suddenly you lost all your contacts which are saved on your mobile phone. And these contacts are also a type of data that is stored in your mobile phone, which can be of an individual or a group of people. Now, if you lose all these contacts, just imagine how frustrating this could be?! Right?! And that is why we back it up with our Email IDs so that you can retrieve them at any point in time and anywhere in case of accidental deletion.\u00a0<\/span>\u00a0<\/span><\/p>\n

Now, talking in technical terms from an IT perspective, when you are running an IT infrastructure the most important entity is the data that is getting stored and the security of that data that is present and backed up by the services. Particularly,\u00a0when that data is in the cloud, security is really a great concern.<\/span><\/p>\n

If you are running this IT infrastructure on your Amazon Cloud, we know that <\/span>EC2<\/span><\/a> has <\/span>Elastic Block Storage (EBS)<\/span><\/a> attached to it which stores all the EC2 data. And we know the best way to properly backup your data is to take <\/span>snapshots<\/span><\/a> of the EBS volumes in case there is\u00a0an accidental deletion or hardware degradation at the cloud provider\u2019s side. Do you think that taking snapshots alone can be enough in this case? NO! The other attributes like retaining these snapshots, automation, and deletion of the snapshots must also be taken into consideration.\u00a0<\/span>\u00a0<\/span><\/p>\n

In this blog, we are going to cover the use of <\/span>Amazon Data Life Cycle Manager (DLM) policies<\/span><\/b> to automate the retention, creation, and deletion of EBS snapshots.\u00a0<\/span>\u00a0<\/span><\/p>\n

Amazon Data Life Cycle Manager(DLM)<\/h2>\n

Most organizations are now migrating to Cloud, but there are scenarios like servers’ downtime being affected by several web attacks which can lead to data loss are not acceptable. So, Data lifecycle management should also be achieved in Cloud Computing, and in AWS (Amazon Web Services) specifically, this is resolved by a service called AWS Data Lifecycle Manager.<\/span>\u00a0<\/span><\/p>\n

Data lifecycle management helps in setting up policies that will govern where the data is stored, for how long it can be stored (retention period), and who can have access to it, among other things. It not only increases efficiency but also has the showcases potential of a better data protection policy. Many organizations are easily able to comply with the many standards that are being imposed on businesses today.<\/span>\u00a0<\/span><\/p>\n

Data lifecycle management is an approach to managing the data in several stages, from creation\/capture of data to deletion of data. This helps organizations to protect their data from any unexpected deletion, loss, cyber-attacks, and more. From Data lifecycle management an organization will be able to monitor or track how its data is treated, processed, used, saved, and shared. Below you can refer to a simple stage of Data in a data life cycle.<\/span><\/p>\n

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Goals of Data Life Cycle Management<\/h2>\n

The three main goals of Data Lifecycle Management are:\u00a0<\/span>\u00a0<\/span><\/p>\n

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  1. Integrity \u2013 making sure that to all the users the data is consistent.<\/span>\u00a0<\/span><\/li>\n
  2. Confidentiality \u2013 Those with authorization can only be given access to the data.<\/span><\/li>\n
  3. Availability \u2013 when the data is required it can be accessed.<\/span>\u00a0<\/span><\/li>\n<\/ol>\n

    Advantages of Data Life Cycle Management<\/h2>\n

    With the above-said goals, there are many advantages in the daily operations of a company that implements data lifecycle management and ensures the effectively handling information in hand.<\/span>\u00a0<\/span><\/p>\n