AWS whitepapers documentation change
Summary
Updated references from 'Amazon S3 Glacier' to 'Amazon Glacier' throughout the document, aligning with service naming conventions
Security assessment
Changes are purely branding/nomenclature updates for Glacier storage class references. No security vulnerabilities are addressed, though existing security features like Vault Lock and WORM compliance are maintained in the updated text. No new security documentation is added.
Diff
diff --git a/whitepapers/latest/building-data-lakes/monitoring-optimizing-data-lake-environment.md b/whitepapers/latest/building-data-lakes/monitoring-optimizing-data-lake-environment.md index 3506919f5..e196299cd 100644 --- a//whitepapers/latest/building-data-lakes/monitoring-optimizing-data-lake-environment.md +++ b//whitepapers/latest/building-data-lakes/monitoring-optimizing-data-lake-environment.md @@ -11 +11 @@ This whitepaper is for historical reference only. Some content might be outdated -Beyond the efforts required to architect and build a data lake, your organization must also consider the operational aspects of a data lake, and how to cost-effectively and efficiently operate a production data lake at large scale. Key elements you must consider are monitoring the operations of the data lake, making sure that it meets performance expectations and service-level agreements, analyzing utilization patterns, and using this information to optimize the cost and performance of your data lake. AWS provides multiple features and services to help optimize a data lake that is built on AWS, including S3 storage analytics, Amazon CloudWatch metrics, AWS CloudTrail, and Amazon S3 Glacier. +Beyond the efforts required to architect and build a data lake, your organization must also consider the operational aspects of a data lake, and how to cost-effectively and efficiently operate a production data lake at large scale. Key elements you must consider are monitoring the operations of the data lake, making sure that it meets performance expectations and service-level agreements, analyzing utilization patterns, and using this information to optimize the cost and performance of your data lake. AWS provides multiple features and services to help optimize a data lake that is built on AWS, including S3 storage analytics, Amazon CloudWatch metrics, AWS CloudTrail, and Amazon Glacier. @@ -43 +43 @@ Integration with Amazon CloudWatch logs provides a convenient way to search thro -Optimizing a data lake environment includes minimizing operational costs. By building a data lake on S3, you only pay for the data storage and data processing services that you actually use, as you use them. You can reduce costs by optimizing how you use these services. Data asset storage is often a significant portion of the costs associated with a data lake. Fortunately, AWS has several features that can be used to optimize and reduce costs. These include: S3 Lifecycle management, S3 storage class analysis, S3 Intelligent-Tiering, S3 Storage Lens, and Amazon S3 Glacier storage class. +Optimizing a data lake environment includes minimizing operational costs. By building a data lake on S3, you only pay for the data storage and data processing services that you actually use, as you use them. You can reduce costs by optimizing how you use these services. Data asset storage is often a significant portion of the costs associated with a data lake. Fortunately, AWS has several features that can be used to optimize and reduce costs. These include: S3 Lifecycle management, S3 storage class analysis, S3 Intelligent-Tiering, S3 Storage Lens, and Amazon Glacier storage class. @@ -47 +47 @@ Optimizing a data lake environment includes minimizing operational costs. By bui -Amazon S3 Lifecycle management allows you to create lifecycle rules, which can be used to automatically migrate data assets to a lower cost tier of storage—such as S3 Standard-IA storage class or Amazon S3 Glacier storage class—or let them expire when they are no longer needed. A lifecycle configuration, which consists of an XML file, comprises a set of rules with predefined actions that you want Amazon S3 to perform on data assets during their lifetime. Lifecycle configurations can perform actions based on data asset age and data asset names, but can also be combined with S3 object tagging to perform very granular management of data assets. If the access pattern for your S3 buckets is constantly changing or is evolving, you can use S3 Intelligent-Tiering storage class for automatic cost savings. +Amazon S3 Lifecycle management allows you to create lifecycle rules, which can be used to automatically migrate data assets to a lower cost tier of storage—such as S3 Standard-IA storage class or Amazon Glacier storage class—or let them expire when they are no longer needed. A lifecycle configuration, which consists of an XML file, comprises a set of rules with predefined actions that you want Amazon S3 to perform on data assets during their lifetime. Lifecycle configurations can perform actions based on data asset age and data asset names, but can also be combined with S3 object tagging to perform very granular management of data assets. If the access pattern for your S3 buckets is constantly changing or is evolving, you can use S3 Intelligent-Tiering storage class for automatic cost savings. @@ -57 +57 @@ Keeping more historical data assets, particularly raw data assets, allows for be -Another long-term data storage need for the data lake is to keep processed data assets and results for long-term retention for compliance and audit purposes, to be accessed by auditors when needed. Both of these use cases are well served by Amazon S3 Glacier storage class, which is an S3 storage class optimized for infrequently used cold data, and for storing write once read many (WORM) data. You can also use S3 Object Lock to adhere to regulatory compliance. +Another long-term data storage need for the data lake is to keep processed data assets and results for long-term retention for compliance and audit purposes, to be accessed by auditors when needed. Both of these use cases are well served by Amazon Glacier storage class, which is an S3 storage class optimized for infrequently used cold data, and for storing write once read many (WORM) data. You can also use S3 Object Lock to adhere to regulatory compliance. @@ -65 +65 @@ S3 Intelligent-Tiering is recommended for data that has unpredictable access pat -You can also configure the last access time for archiving up to a maximum of 730 days for both Archive access tier and Deep Archive access tier. S3 Intelligent-Tiering Archive access tier provides same performance as Amazon S3 Glacier storage class and S3 Intelligent Tiering Deep Archive access tier provides same performance as Amazon S3 Glacier Deep Archive storage class. +You can also configure the last access time for archiving up to a maximum of 730 days for both Archive access tier and Deep Archive access tier. S3 Intelligent-Tiering Archive access tier provides same performance as Amazon Glacier storage class and S3 Intelligent Tiering Deep Archive access tier provides same performance as Amazon Glacier Deep Archive storage class. @@ -77 +77 @@ You can identify these incomplete multipart uploads using Storage Lens dashboard -### Amazon S3 Glacier +### Amazon Glacier @@ -79 +79 @@ You can identify these incomplete multipart uploads using Storage Lens dashboard -[Amazon S3 Glacier](https://aws.amazon.com/s3/glacier/) is a low-cost Amazon S3 storage class that provides durable storage with security features for data archiving and backup. S3 Glacier has the same data durability (99.999999999%) and supports lifecycle management on data assets stored in S3, so that data assets can seamlessly migrate from Amazon S3 to S3 Glacier. S3 Glacier storage class is a great storage choice when low storage cost is essential, data assets are rarely retrieved, and retrieval latency of several minutes to several hours is acceptable. +[Amazon Glacier](https://aws.amazon.com/s3/glacier/) is a low-cost Amazon S3 storage class that provides durable storage with security features for data archiving and backup. Amazon Glacier has the same data durability (99.999999999%) and supports lifecycle management on data assets stored in S3, so that data assets can seamlessly migrate from Amazon S3 to Amazon Glacier. Amazon Glacier storage class is a great storage choice when low storage cost is essential, data assets are rarely retrieved, and retrieval latency of several minutes to several hours is acceptable. @@ -83 +83 @@ Different types of data lake assets may have different retrieval needs. For exam -S3 Glacier allows data lake users to specify retrieval times when the data retrieval request is created, with longer retrieval times leading to lower retrieval costs. For processed data and records that need to be securely retained, Amazon S3 Glacier Vault Lock allows data lake administrators to deploy and enforce compliance controls on individual S3 Glacier vaults by a lockable policy. +Amazon Glacier allows data lake users to specify retrieval times when the data retrieval request is created, with longer retrieval times leading to lower retrieval costs. For processed data and records that need to be securely retained, Amazon Glacier Vault Lock allows data lake administrators to deploy and enforce compliance controls on individual Amazon Glacier vaults by a lockable policy. @@ -85 +85 @@ S3 Glacier allows data lake users to specify retrieval times when the data retri -Administrators can specify controls such as WORM in a Vault Lock policy and lock the policy from future edits. After locked, the policy becomes immutable and S3 Glacier will enforce the prescribed controls to help achieve your compliance objectives, and provide an audit trail for these assets using AWS CloudTrail. +Administrators can specify controls such as WORM in a Vault Lock policy and lock the policy from future edits. After locked, the policy becomes immutable and Amazon Glacier will enforce the prescribed controls to help achieve your compliance objectives, and provide an audit trail for these assets using AWS CloudTrail.