What is AWS S3 and what are its key features?
Amazon S3 (Simple Storage Service) is a cloud-based storage service offered by Amazon Web Services (AWS) that provides scalable and highly available storage infrastructure for businesses and individuals to store and retrieve data.
Some of the key features of AWS S3 include:
- Scalability: AWS S3 is designed to automatically scale in order to handle increasing amounts of data without any upfront planning or capacity forecasting.
- Durability: AWS S3 provides durability by replicating data across multiple physical facilities and implementing error correction techniques to ensure data integrity.
- Security: AWS S3 allows you to set up access control policies to regulate who can access your data, and provides encryption both at rest and in transit.
- Cost-effective: AWS S3 has a pay-as-you-go pricing model, meaning you only pay for the storage and bandwidth you use.
- Accessibility: AWS S3 is easily accessible through a web-based management console, command-line interface (CLI), or API calls, making it simple to upload, download, and manage data from anywhere in the world.
- Integration: AWS S3 integrates with other AWS services such as AWS Lambda, Amazon EC2, and Amazon CloudFront, enabling you to build scalable, secure, and highly available applications.
Overall, AWS S3 is a powerful storage solution that offers high scalability, durability, security, accessibility, and cost-effectiveness, making it a popular choice for storing and managing data in the cloud.
What is the maximum size of an object that can be stored in S3?
In AWS S3, the maximum size of an object that can be stored is 5 terabytes (TB). However, there is no limit to the total amount of data that can be stored in an S3 bucket. Additionally, AWS S3 also offers a feature called “multipart upload” that allows uploading large files in parts, which can be combined into a single object after uploading. This feature is particularly useful when uploading files larger than 100 MB or when network instability can interrupt the upload process.
What is the difference between S3 and EBS storage in AWS?
AWS S3 and EBS (Elastic Block Store) are both storage services offered by Amazon Web Services, but they have some significant differences:
- Object storage vs block storage: AWS S3 is an object-based storage service, which is designed for storing and retrieving files such as documents, images, and videos, whereas EBS is a block-based storage service, which is designed for storing and accessing data at the block level, which is commonly used for operating systems and databases.
- Access: AWS S3 can be accessed from anywhere with an internet connection, whereas EBS volumes can only be accessed by EC2 instances within the same availability zone.
- Durability and availability: AWS S3 provides higher durability and availability as it is designed to automatically replicate data across multiple availability zones, whereas EBS volumes are stored on a single EC2 instance, so they are susceptible to hardware failure.
- Performance: EBS provides better performance than S3 for applications that require low-latency access to data, such as databases, due to its block-level access.
- Backup and recovery: AWS S3 provides better backup and recovery options as it is designed to provide long-term storage for data, whereas EBS is typically used for temporary storage.
Overall, AWS S3 is more suited for storing and retrieving large files such as media files, backups, and archives, while EBS is more suitable for low-latency applications, such as databases, where data access speed is important.
What is bucket policy in S3 and how is it used?
An S3 bucket policy is a configuration that defines permissions for Amazon S3 buckets and the objects stored within them. Bucket policies are expressed in JSON format and are used to grant or deny access to an S3 bucket and its contents based on specific conditions or criteria.
With an S3 bucket policy, you can:
- Grant permissions to specific users or roles: You can use bucket policies to grant specific AWS users, groups, or roles access to your S3 bucket and objects stored within it.
- Restrict access based on conditions: You can define conditions in your bucket policy that restrict access to the bucket and its contents based on specific criteria such as IP address, time of day, or S3 object key prefix.
- Control access to objects: You can use bucket policies to restrict access to individual objects within an S3 bucket, allowing only specific users or roles to access them.
- Control how objects are accessed: You can use bucket policies to control how objects are accessed, such as requiring SSL encryption or allowing access from only specific regions.
Bucket policies are created and managed through the S3 console, command-line interface (CLI), or API calls. They are a powerful tool for controlling access to your S3 resources and can help you implement security best practices by ensuring that only authorized users and services can access your data.
How can you secure data in S3 buckets?
There are several ways to secure data in S3 buckets:
- Bucket Policies: You can create a bucket policy to restrict access to the S3 bucket to specific IP addresses, AWS accounts, or IAM roles. You can also use bucket policies to enforce encryption and other security requirements.
- Access Control Lists (ACLs): You can set permissions for individual objects in the S3 bucket using ACLs. ACLs can grant or deny permissions for individual AWS accounts, IAM roles, or IP addresses.
- Encryption: S3 supports multiple encryption options to protect your data at rest and in transit. You can use server-side encryption with Amazon S3-managed keys (SSE-S3) or customer-provided keys (SSE-C), client-side encryption, or use Amazon S3 Inventory to monitor and report on object-level encryption status.
- Versioning: S3 versioning enables you to preserve, retrieve, and restore every version of every object in the S3 bucket. This can be useful for disaster recovery, auditing, and compliance purposes.
- Security Logging: S3 provides access logs and server access logging that you can use to monitor access to the S3 bucket and detect potential security threats.
- Cross-Region Replication (CRR): You can use CRR to replicate data across AWS regions for disaster recovery and data protection. This can also help you meet compliance requirements for data replication and backup.
By implementing these and other security measures, you can help ensure the confidentiality, integrity, and availability of data stored in S3 buckets. It is important to regularly review and audit your S3 bucket security settings to identify potential vulnerabilities and address any security issues that may arise.
What are the different storage classes available in S3 and how are they used?
Amazon S3 offers different storage classes to enable you to optimize costs and performance for storing data based on your specific needs. Here are the different storage classes available in S3:
- S3 Standard: This is the default storage class for S3 and offers high durability, availability, and performance for frequently accessed data. S3 Standard is ideal for applications that require low latency and high throughput.
- S3 Intelligent-Tiering: This storage class is designed to automatically optimize costs and performance by moving data between two access tiers (frequent and infrequent) based on changing access patterns. This allows you to save costs by storing infrequently accessed data in a lower-cost tier.
- S3 Standard-Infrequent Access (S3 Standard-IA): This storage class is designed for infrequently accessed data that requires rapid access when needed. S3 Standard-IA offers lower storage costs than S3 Standard, but with a higher retrieval fee.
- S3 One Zone-Infrequent Access (S3 One Zone-IA): This storage class is similar to S3 Standard-IA, but stores data in a single availability zone instead of across multiple zones. This makes it less resilient to availability zone failures but offers lower storage costs.
- S3 Glacier: This storage class is designed for long-term data archival and offers the lowest storage costs but with a longer retrieval time (minutes to hours). S3 Glacier is ideal for data that is rarely accessed and needs to be stored for several years.
- S3 Glacier Deep Archive: This storage class is designed for long-term data archival and offers the lowest storage costs, but with a longer retrieval time (12 hours or more). S3 Glacier Deep Archive is ideal for data that is rarely accessed and needs to be stored for decades or longer.
By selecting the appropriate storage class for your data, you can optimize storage costs while maintaining the desired level of performance, durability, and availability for your application. It’s also possible to transition data between different storage classes based on changing access patterns, further optimizing costs over time.
Can you control access to your S3 buckets and objects? If yes, how?
you can control access to your S3 buckets and objects using a combination of permissions and policies.
- Access Control Lists (ACLs): You can use ACLs to grant permissions to individual objects in your S3 bucket. ACLs can be used to grant read, write, and delete permissions to specific AWS accounts or to everyone.
- Bucket Policies: You can create a bucket policy to control access to your S3 bucket at a more granular level. Bucket policies can be used to grant permissions to specific AWS accounts, IAM users, or roles, or to specific IP addresses.
- IAM Policies: You can create IAM policies to control access to your S3 bucket and objects for IAM users and roles. IAM policies can be used to grant or deny permissions for specific S3 actions, such as getObject or putObject.
- Encryption: You can use server-side encryption to encrypt data stored in your S3 bucket to help protect against unauthorized access. S3 supports server-side encryption with Amazon S3-managed keys (SSE-S3) and customer-provided keys (SSE-C).
- Access Logging: You can enable access logging for your S3 bucket to track who is accessing your data and when. Access logs can be used to monitor your S3 bucket for unauthorized access or to audit your S3 bucket for compliance purposes.
By implementing these and other security measures, you can help ensure that only authorized users and applications have access to your S3 bucket and objects. It’s important to regularly review and audit your S3 bucket security settings to identify potential vulnerabilities and address any security issues that may arise.
How do you transfer data from an on-premises environment to S3?
There are several ways to transfer data from an on-premises environment to S3. Here are some common methods:
- AWS CLI: You can use the AWS Command Line Interface (CLI) to transfer data to S3 using the AWS CLI sync command. This command can be used to synchronize files and folders between your on-premises environment and your S3 bucket.
- AWS Storage Gateway: AWS Storage Gateway is a hybrid storage service that enables you to securely transfer data between your on-premises environment and AWS. You can use the file gateway feature of Storage Gateway to transfer files to S3 using standard file protocols such as NFS and SMB.
- AWS Transfer Family: AWS Transfer Family is a fully-managed service that enables you to securely transfer files over SFTP, FTPS, and FTP directly into and out of Amazon S3.
- AWS Snowball: AWS Snowball is a petabyte-scale data transfer service that enables you to transfer large amounts of data to and from AWS using physical storage devices. You can use AWS Snowball to transfer data from your on-premises environment to S3 by shipping a Snowball device to your location, loading the data onto the device, and then shipping the device back to AWS for data transfer.
- Third-Party Tools: There are several third-party tools and solutions available that enable you to transfer data from your on-premises environment to S3. These tools can range from simple file transfer utilities to enterprise-level data migration solutions.
Before transferring data to S3, it’s important to consider factors such as data volume, transfer speed, and security requirements to ensure that your data is transferred securely and efficiently.
What is the difference between S3 and Glacier?
S3 (Simple Storage Service) and Glacier are both storage services offered by AWS, but they have different characteristics and use cases.
S3 is designed for frequently accessed data, where data can be accessed in real-time. It provides high durability, availability, and performance for storing and retrieving any amount of data. S3 is a good option for storing data that requires fast access and for applications that need to access data in real-time. S3 offers different storage classes, such as Standard, Infrequent Access (IA), and One Zone Infrequent Access (Z-IA), each with different costs and retrieval times.
Glacier, on the other hand, is designed for data archiving and long-term storage. It provides low-cost storage for data that is accessed infrequently and is stored for long periods of time. Glacier offers different retrieval options, such as Standard, Expedited, and Bulk, each with different costs and retrieval times. Glacier is a good option for storing data that needs to be retained for compliance or regulatory requirements, and where retrieval time is not a critical factor.
In summary, S3 is suitable for frequently accessed data where fast retrieval times are important, while Glacier is suitable for long-term data archiving and storage where retrieval time is not a critical factor. The choice between S3 and Glacier depends on the specific use case and data access requirements.
Can you use S3 to host a static website? If yes, how?
you can use S3 to host a static website. Here are the steps to follow:
- Create an S3 bucket: Log in to the AWS Management Console, go to the S3 console, and create a new S3 bucket. The name of the bucket should be the same as the domain name of the static website you want to host.
- Enable static website hosting: In the S3 bucket properties, click on the “Static website hosting” option, and select “Use this bucket to host a website”. Specify the index document and error document if applicable.
- Configure bucket permissions: Set the appropriate bucket permissions to allow public access to the website content. You can do this by adding a bucket policy or by configuring the access control list (ACL) of the objects in the bucket.
- Configure DNS: Finally, configure your DNS settings to point the domain name to the S3 bucket endpoint. You can use Amazon Route 53 or any other DNS service to do this.
Once you have completed these steps, your static website should be up and running and accessible to the public via the domain name you specified. S3 provides a cost-effective and scalable way to host static websites, with high availability and low latency.
What is S3 transfer acceleration and how does it work?
Amazon S3 Transfer Acceleration is a feature of Amazon S3 that enables faster transfers of data over the public internet to and from Amazon S3. It makes use of Amazon CloudFront’s globally distributed edge locations to accelerate transfers by optimizing the routing and protocol between the user’s client and the S3 bucket.
With Transfer Acceleration, you can upload and download files to and from an S3 bucket over the internet at a faster speed. This is particularly useful for large files or when transferring data over long distances.
Here’s how S3 Transfer Acceleration works:
- When you enable Transfer Acceleration for a bucket, Amazon S3 creates a distinct endpoint URL for the bucket, such as my-bucket.s3-accelerate.amazonaws.com.
- When you upload a file to the bucket using the Transfer Acceleration endpoint, your data is first routed to the nearest CloudFront edge location based on your geographic location.
- CloudFront then optimizes the transfer path and protocol to deliver the data to the S3 bucket over Amazon’s global network.
- Once the file has been uploaded, it is stored in the S3 bucket as usual.
- When you download a file from the bucket using the Transfer Acceleration endpoint, the data is fetched from the nearest CloudFront edge location, and then delivered to your client over the optimized transfer path and protocol.
Overall, S3 Transfer Acceleration helps improve the speed and reliability of transferring data to and from Amazon S3 by leveraging Amazon CloudFront’s globally distributed network.
How does S3 ensure data durability and availability?
Amazon S3 (Simple Storage Service) uses a variety of techniques to ensure data durability and availability. Here are some of the ways S3 ensures data durability and availability:
- Replication: S3 automatically replicates data across multiple Availability Zones (AZs) within a region. This means that if one AZ experiences an outage, data can still be accessed from another AZ.
- Object Versioning: S3 allows you to version your objects, so you can restore a previous version of an object in case it’s accidentally deleted or overwritten.
- Redundancy: S3 automatically stores multiple copies of your data within each AZ to protect against data loss due to hardware failure.
- Error Correction: S3 uses checksums to detect data corruption and automatically repairs any detected errors.
- Regular Data Integrity Checks: S3 regularly checks the integrity of data stored in the service, to ensure it hasn’t been corrupted.
- Service Level Agreements (SLAs): S3 provides a 99.999999999% durability SLA, which means that data is expected to be retained and available 99.999999999% of the time over any given year.
- Geographic Distribution: S3 allows you to store your data in multiple regions around the world, which can provide additional protection against disasters or outages affecting a specific region.
Overall, S3 is designed to provide high levels of durability and availability to ensure that your data is always accessible when you need it.
What are the different types of encryptions available in S3?
Amazon S3 (Simple Storage Service) provides different types of encryption options to secure your data at rest and in transit. These include:
- Server-Side Encryption with Amazon S3-Managed Keys (SSE-S3): This is the default encryption option for S3. It encrypts your data at rest using AES-256 encryption and S3-managed keys.
- Server-Side Encryption with Customer-Provided Keys (SSE-C): This encryption option allows you to use your own encryption keys to encrypt data at rest in S3. SSE-C requires you to provide your own encryption key when uploading data to S3 and decrypt the data with the same key when downloading it.
- Server-Side Encryption with AWS KMS-Managed Keys (SSE-KMS): This encryption option encrypts your data at rest using AWS Key Management Service (KMS). SSE-KMS allows you to manage your own encryption keys and control access to those keys.
- Client-Side Encryption: With client-side encryption, you can encrypt data before uploading it to S3. This option requires you to manage your own encryption keys and perform the encryption and decryption operations on your client-side infrastructure.
- Default Encryption: You can also set a default encryption option for your S3 bucket. When enabled, any object uploaded to the bucket that doesn’t specify an encryption option will be encrypted using the default encryption option.
In summary, Amazon S3 provides several encryption options to help secure your data at rest and in transit. It’s important to choose the appropriate encryption option based on your security requirements and compliance regulations.
How does versioning work in S3 and why is it important?
Amazon S3 (Simple Storage Service) provides a versioning feature that allows you to keep multiple versions of an object in the same bucket. When versioning is enabled for a bucket, S3 automatically generates a unique version ID for each object version.
Here’s how versioning works in S3:
- When you upload an object to a versioning-enabled bucket, S3 creates an initial version of the object with a version ID of “1”.
- If you overwrite the object, S3 creates a new version of the object with a new version ID. The old version of the object is still retained in the bucket and can be retrieved if needed.
- If you delete an object, S3 doesn’t actually delete it. Instead, it creates a new version of the object with a delete marker, indicating that the object has been deleted.
- You can retrieve any version of an object by specifying its version ID. You can also retrieve the latest version of an object by not specifying a version ID.
Versioning is important in S3 for several reasons:
- Data Recovery: Versioning provides a safety net for accidental deletions or overwrites. With versioning, you can easily restore a previous version of an object if it’s deleted or overwritten.
- Compliance: Some regulatory requirements may require you to retain multiple versions of an object for a specified period. With versioning, you can easily comply with these requirements.
- Collaborative Editing: Versioning can help in collaborative editing scenarios, where multiple users are working on the same object. With versioning, each user can upload their own version of the object without overwriting each other’s changes.
- Audit Trails: Versioning provides an audit trail of changes made to an object over time. You can track who made changes to an object and when those changes were made.
In summary, versioning is an important feature in S3 that provides data protection, compliance, collaboration, and audit trail benefits.
Can you restore an object in S3 that has been deleted? If yes, how?
Yes, you can restore an object in Amazon S3 (Simple Storage Service) that has been deleted, but only if versioning is enabled for the bucket that the object was stored in.
When versioning is enabled for a bucket, S3 doesn’t actually delete objects when you issue a delete operation. Instead, S3 creates a new version of the object with a delete marker indicating that the object has been deleted. The previous version of the object is still stored in the bucket and can be restored if needed.
Here’s how to restore a deleted object in S3:
- Open the S3 console or use the AWS CLI to navigate to the bucket that contained the deleted object.
- Locate the object that was deleted and select it.
- From the object’s properties page, click on the “Actions” drop-down menu and select “Restore object.”
- In the “Restore object” dialog box, specify how long you want to retain the restored object. This can be a number of days or an absolute date and time.
- Click the “Restore” button to initiate the restoration process.
Note that restoring a deleted object from S3 can take some time, depending on the size of the object and how long it has been deleted. During the restoration process, the object will be temporarily unavailable. Once the object has been fully restored, it will be accessible again.
In summary, you can restore deleted objects in S3 if versioning is enabled for the bucket. Restoring a deleted object is a straightforward process that can be done through the S3 console or AWS CLI.
How does S3 lifecycle policy work and what are its benefits?
Amazon S3 (Simple Storage Service) lifecycle policy is a feature that allows you to automate the transition and deletion of objects based on their age, version, or other criteria. With lifecycle policies, you can set rules to automatically move objects to lower-cost storage classes, delete objects that are no longer needed, and manage the lifecycle of your data in S3.
Here’s how lifecycle policy works in S3:
- You define lifecycle rules based on object prefixes and tags, specifying when objects should transition to a different storage class or be deleted.
- S3 automatically evaluates your lifecycle rules every day, identifying objects that meet the criteria specified in the rules.
- Based on the rules, S3 will automatically transition objects to a different storage class or delete them, depending on the action specified in the rule.
Benefits of using lifecycle policy in S3 include:
- Cost Savings: Lifecycle policy allows you to transition objects to lower-cost storage classes as they age, which can result in significant cost savings over time.
- Compliance: Lifecycle policy helps you comply with regulatory requirements and retention policies by automatically deleting objects after a specified period of time.
- Simplified Management: Lifecycle policy automates the management of your data in S3, eliminating the need for manual intervention and reducing the potential for human error.
- Improved Performance: By moving older, infrequently accessed data to lower-cost storage classes, lifecycle policy can improve performance for more frequently accessed data.
In summary, S3 lifecycle policy is a powerful feature that allows you to automate the management of your data in S3. With lifecycle policies, you can reduce costs, comply with regulations, simplify management, and improve performance for your S3 objects.
What is S3 intelligent-tiering and how does it work?
Amazon S3 Intelligent-Tiering is a storage class that is designed to optimize costs for data with unknown or changing access patterns. This storage class is a combination of S3 Standard and S3 Infrequent Access storage classes, and it uses machine learning to automatically move data between these storage classes based on the changing access patterns of the data.
Here’s how S3 Intelligent-Tiering works:
- When you upload data to S3 Intelligent-Tiering, it starts out in the S3 Standard storage class.
- S3 Intelligent-Tiering continuously monitors the access patterns of the data using machine learning models.
- Based on these access patterns, S3 Intelligent-Tiering automatically moves data between the S3 Standard and S3 Infrequent Access storage classes. Data that is accessed frequently stays in the S3 Standard storage class, while data that is accessed less frequently is moved to the S3 Infrequent Access storage class.
- If data in the S3 Infrequent Access storage class is accessed again, it is automatically moved back to the S3 Standard storage class.
- S3 Intelligent-Tiering also includes automatic tiering, which automatically selects the appropriate storage class based on the access patterns of the data. This means that you don’t need to manually move data between storage classes to optimize costs.
Benefits of using S3 Intelligent-Tiering include:
- Cost Optimization: S3 Intelligent-Tiering can help you optimize costs for data with unknown or changing access patterns, as it automatically moves data between storage classes to ensure that you are only paying for the storage that you need.
- Simplified Management: S3 Intelligent-Tiering automates the management of your data, eliminating the need for manual intervention and reducing the potential for human error.
- Improved Performance: S3 Intelligent-Tiering ensures that frequently accessed data is stored in the S3 Standard storage class, which provides low latency and high throughput for data access.
In summary, S3 Intelligent-Tiering is a storage class that automatically moves data between the S3 Standard and S3 Infrequent Access storage classes based on the changing access patterns of the data. This feature can help you optimize costs, simplify management, and improve performance for your S3 objects.
How does S3 replication work and what are its benefits?
Amazon S3 replication is a service that enables the automatic copying of objects between S3 buckets in different AWS Regions or within the same region. S3 replication helps ensure data durability and availability by replicating data across different geographic locations.
Here’s how S3 replication works:
- An S3 bucket owner enables replication for a source bucket by creating a replication configuration that defines the replication rules.
- The configuration specifies the destination bucket, the replication frequency, and any rules for filtering the objects to be replicated.
- Once replication is enabled, S3 replicates the objects automatically and continuously in the background.
Benefits of S3 replication include:
- High availability: S3 replication enables you to maintain copies of your data in multiple locations, which helps ensure that your data is available even if one of the locations experiences a service disruption.
- Disaster recovery: S3 replication can be used as part of a disaster recovery plan to ensure that critical data is backed up in a different geographic location, which can help reduce recovery time in the event of a disaster.
- Compliance: S3 replication can help meet compliance requirements for data retention and replication by providing a reliable, automated process for replicating data across regions.
- Reduced latency: S3 replication can help reduce latency by providing faster access to data for users in different regions.
- Simplified management: S3 replication eliminates the need to manually copy data between buckets or regions, which can simplify management and reduce the risk of errors.
How can you monitor S3 usage and performance metrics?
You can monitor S3 usage and performance metrics by using the Amazon S3 Management Console, AWS CLI, AWS SDKs, or third-party monitoring tools. Here are some of the ways to monitor S3 usage and performance metrics:
- S3 Management Console: The S3 Management Console provides a graphical user interface for monitoring S3 usage and performance metrics. You can view metrics such as object count, bucket size, request rate, and data transfer rate.
- AWS CLI: You can use the AWS CLI to retrieve S3 usage and performance metrics programmatically. For example, you can use the “aws s3api get-bucket-metrics-configuration” command to retrieve metrics configuration for an S3 bucket.
- AWS SDKs: You can use AWS SDKs to programmatically retrieve S3 usage and performance metrics. For example, you can use the Amazon S3 SDK for Java to retrieve metrics for S3 buckets.
- CloudWatch: You can use Amazon CloudWatch to monitor S3 usage and performance metrics. CloudWatch provides a variety of metrics, including request count, data transfer, and error rate, which can be viewed in graphs or dashboards.
- Third-party tools: You can use third-party monitoring tools such as Datadog, New Relic, and Splunk to monitor S3 usage and performance metrics. These tools provide more advanced features such as alerting, anomaly detection, and customizable dashboards.
By monitoring S3 usage and performance metrics, you can identify potential issues and optimize your S3 usage to improve performance and reduce costs.
What are the best practices for using S3 in AWS?
Here are some best practices for using Amazon S3 in AWS:
- Use versioning: Enable versioning for S3 buckets to protect against accidental data deletion or overwriting. This ensures that previous versions of objects are retained, and can be restored if necessary.
- Set up lifecycle policies: Set up lifecycle policies to automatically move data to lower-cost storage classes or delete data that is no longer needed. This can help reduce storage costs.
- Secure your data: Use AWS Identity and Access Management (IAM) to manage access to S3 buckets and objects. Implement encryption for data at rest and in transit using SSE-S3, SSE-KMS, or SSE-C.
- Use S3 Access Points: Use S3 Access Points to simplify access management for S3 buckets by creating unique access points with specific permissions and network controls.
- Monitor S3 usage and performance: Monitor S3 usage and performance metrics to identify potential issues and optimize S3 usage to improve performance and reduce costs.
- Use S3 Transfer Acceleration: Use S3 Transfer Acceleration to speed up data transfer between your clients and S3 buckets, especially for long-distance transfers.
- Use S3 Select and Glacier Select: Use S3 Select and Glacier Select to retrieve only the necessary data from large objects stored in S3 or Glacier.
- Use multi-part uploads: Use multi-part uploads to upload large files to S3 more efficiently and reliably, and to resume failed uploads.
- Use Cross-Region Replication: Use Cross-Region Replication to replicate data between S3 buckets in different AWS Regions to improve data durability and availability.
By following these best practices, you can ensure that your S3 usage is optimized for cost, security, and performance.