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Simple Log Service:Overview of tiered storage

Last Updated:Oct 10, 2023

Simple Log Service provides the tiered storage feature. You can use the feature to store data in the hot, Infrequent Access (IA), or Archive storage tier based on your business requirements. This topic describes the storage types supported by the tiered storage feature.

Storage type

Hot storage

Hot storage is a scalable and highly available data storage solution. You can store data that has a long lifecycle but is frequently accessed in the hot storage tier. Simple Log Service supports the transfer of data from standard storage to hot storage. This way, you can access and retrieve data in a more efficient manner.

  • You can access data in real time and query and analyze data with high performance. Hot storage is suitable for scenarios in which high-frequency data query and analysis are involved.

  • You can move data from the hot storage tier to the IA or Archive storage tier.

  • Data in the hot storage tier is stored for at least 7 days before it can be moved to the IA storage tier.

  • Data in the hot storage tier is stored for at least 30 days before it can be moved to the Archive storage tier.

IA storage

IA storage, formerly known as cold storage, can be used to reduce the cost of long-term storage and ensure that log-related capabilities are not affected. The capabilities include query, analysis, visualization, alerting, shipping, and transformation.

  • You can access data in real time and store data in a cost-effective manner. IA storage is suitable for scenarios in which relatively low-frequency data query and analysis and problem backtracking are involved.

  • You can move data from the IA storage tier to the Archive storage tier.

  • Data in the IA storage tier is stored for at least 30 days before it can be moved to the Archive storage tier.

Archive storage

Archive storage is a long-term data storage solution that allows you to query and analyze data at a lower cost compared with hot storage and IA storage.

  • You can access data in real time and store data for a long period of time at an extremely low cost. Archive storage is suitable for scenarios in which long-term storage of audit data is involved.

  • The minimum retention period of data in the Archive storage tier is 60 days.

Storage type comparison

Item

Hot storage

IA storage

Archive storage

Scenario

High-frequency and high-performance query and analysis

Problem backtracking

Data auditing

Fee

USD 0.002875 per GB-day

USD 0.000762 per GB-day

USD 0.000259 per GB-day

Performance

Latency (billions of data records)

Ten to hundred milliseconds

Hundred milliseconds to seconds

Minutes

Concurrency

Concurrent query requests: 100

Concurrent analysis requests: 15

Concurrent query requests: 10

Concurrent analysis requests: 2

Concurrent query requests: 1

Concurrent analysis requests: 1

Benefits

Efficient and high-concurrency query and analysis

Low-frequency query and analysis and cost-effectiveness

Occasional query and analysis and low cost

The feature of lifecycle management for data storage can automatically move data across storage tiers.

  • You can enable the feature after simple configuration. You do not need to write scripts or manually move data.

  • Data that is stored in the IA or Archive storage tier can be accessed in real time. You do not need to manually retrieve data or modify applications. You are not charged for data retrieval.

Limits on the retention period of data

Pay-by-feature

  • Data in the hot storage tier is stored for at least 7 days before it can be moved to the IA storage tier.

  • Data in the hot storage tier is stored for at least 30 days before it can be moved to the Archive storage tier.

Data in the IA storage tier is stored for at least 30 days before it can be moved to the Archive storage tier.

The minimum retention period of data in the Archive storage tier is 60 days.

Pay-by-ingested-data

You are not charged for data storage in the hot storage tier for 30 days.

Lifecycle management

You can change the retention period of data to specify a custom lifecycle for data storage. For more information, see Lifecycle management for data storage.