Tutorial / Cram Notes
Transfer for Compute-Intensive Applications
When dealing with compute-intensive applications, you might consider services like AWS Direct Connect or AWS VPN if you need a dedicated network connection between your on-premises infrastructure and AWS. AWS Direct Connect reduces network costs, increases bandwidth throughput, and provides a more consistent network experience compared to internet-based connections.
- AWS Direct Connect offers a direct private connection to AWS from your data center, office, or colocation environment.
- AWS VPN allows you to establish a secure and private tunnel from your network to your AWS virtual private cloud (VPC).
Transfer for Large Dataset Applications
For applications that need to transfer large datasets to AWS, services such as AWS Snowball, AWS Snowmobile, or AWS DataSync may be appropriate.
- AWS Snowball is suitable for transferring several terabytes to petabytes of data and can be faster and more cost-effective than transferring data over the internet.
- AWS Snowmobile is an exabyte-scale data transfer service that is ideal for moving extremely large amounts of data to AWS—you can transfer up to 100PB per Snowmobile.
- AWS DataSync is an online data transfer service that simplifies, automates, and accelerates moving and synchronizing data between on-premises storage systems and AWS storage services.
Transfer for Continuous Data Replication
If your application requires ongoing, continuous data replication, AWS offers AWS Database Migration Service (DMS) and Amazon Kinesis.
- AWS Database Migration Service (DMS) helps you migrate databases to AWS quickly and securely while keeping the source database operational during the migration.
- Amazon Kinesis can collect, process, and analyze real-time streaming data, allowing responses to be triggered promptly as data is received.
Comparison Table
Service | Use case | Data size | Connectivity |
---|---|---|---|
AWS Direct Connect | Consistent, high-speed transfer for critical applications | N/A | Dedicated |
AWS VPN | Secure, private transfer without hardware requirement | N/A | Internet-based |
AWS Snowball | One-time large-scale data transfers | Terabytes to Petabytes | Physical shipment |
AWS Snowmobile | Massive data migration | Up to 100 Petabytes | Physical shipment |
AWS DataSync | Ongoing, incremental data transfers | N/A | Online |
AWS DMS | Database migration | N/A | Online |
Amazon Kinesis | Real-time data streaming and processing | N/A | Online |
Selecting the Mechanism
When selecting the appropriate application transfer mechanism, consider the following factors:
- Data Volume: Large volumes may require physical data transfer services like Snowball or Snowmobile.
- Transfer Frequency: Ongoing, continuous transfers benefit from services like DataSync, DMS, or Kinesis.
- Network: High throughput, low latency requirements might necessitate Direct Connect, whereas less critical transfers might use VPN.
- Security: Services like VPN and Direct Connect provide secure tunnels, and physical transfer services ensure data is encrypted during transit.
- Speed: Time-critical applications might employ Direct Connect for its high transfer speeds, while less time-sensitive transfers might utilize Snowball or Snowmobile.
- Cost: Assess the costs for each service, as some may be more cost-effective depending on the amount of data and transfer frequency.
Practical Considerations
In practical scenarios, a combination of services may be necessary. As an example, consider a hybrid cloud scenario where a company needs to perform an initial bulk data migration followed by continuous replication of databases:
- For the initial bulk data migration, the company could use AWS Snowball to transfer several petabytes of data rapidly and cost-effectively.
- After the initial migration, AWS Database Migration Service could be used to continuously replicate data from on-premises databases to AWS to maintain synchronization between environments.
Conclusion
Choosing the right application transfer mechanism within AWS’s ecosystem requires a nuanced understanding of each service’s offerings and aligning them with your specific workload requirements. By carefully evaluating the characteristics of your application and data, you will be able to select an efficient, secure, and cost-effective data transfer strategy that meets the needs of your architecture design, as expected in the AWS Certified Solutions Architect – Professional exam.
Practice Test with Explanation
True or False: When transferring large amounts of data to AWS, AWS DataSync is always the most cost-effective option.
- (A) True
- (B) False
Answer: B) False
Explanation: AWS DataSync is a data transfer service that simplifies moving data between on-premises storage and AWS services. However, the most cost-effective option depends on the specific use case, amount of data, speed requirements, and other factors. AWS Snowball or AWS Direct Connect might be more cost-effective for certain use cases.
Which AWS service is suitable for online transfer of petabyte-scale datasets?
- (A) AWS Direct Connect
- (B) AWS Snowball Edge
- (C) Amazon S3 Transfer Acceleration
- (D) All of the above
Answer: D) All of the above
Explanation: AWS Direct Connect provides a dedicated network connection for transferring large datasets into AWS. AWS Snowball Edge is suitable for moving petabyte-scale datasets. Amazon S3 Transfer Acceleration optimizes transfer speeds to Amazon S Depending on the needs of the transfer, any of these could be suitable.
Which service should you use for migrating virtual machines (VMs) to AWS?
- (A) AWS Snowmobile
- (B) AWS DataSync
- (C) AWS Server Migration Service (SMS)
- (D) Amazon Kinesis Data Firehose
Answer: C) AWS Server Migration Service (SMS)
Explanation: AWS Server Migration Service (SMS) is an agentless service designed to make it easier and faster to migrate thousands of on-premises workloads to AWS.
True or False: AWS Snowball supports importing and exporting data between your on-premises data storage and the cloud, but cannot run custom AWS Lambda functions like AWS Snowball Edge can.
- (A) True
- (B) False
Answer: A) True
Explanation: AWS Snowball supports data transfer services into and out of AWS. AWS Snowball Edge has additional computing functions, such as running AWS Lambda functions and edge computing workloads.
Select the operations for which AWS Direct Connect is a suitable tool. (Select TWO)
- (A) Reducing network costs
- (B) Bypassing the public internet
- (C) Securely transferring data to AWS at regular intervals
- (D) Transferring an on-premises physical server to AWS
Answer: A) Reducing network costs, B) Bypassing the public internet
Explanation: AWS Direct Connect allows organizations to establish a dedicated network connection between AWS and their datacenter, office, or colocation environment, which in many cases can reduce network costs and improve bandwidth throughput and provide a more consistent network experience than Internet-based connections.
Which of the following AWS services provides the fastest way to transfer exabytes of data into AWS?
- (A) AWS Snowball
- (B) AWS Snowmobile
- (C) AWS Direct Connect
- (D) AWS DataSync
Answer: B) AWS Snowmobile
Explanation: AWS Snowmobile is an Exabyte-scale data transfer service used to move extremely large amounts of data to AWS. It can support up to 100PB per Snowmobile, making it faster than other services for such large amounts of data.
True or False: AWS DataSync can be used to transfer data to and from on-premises servers and AWS Storage services such as Amazon S3, Amazon EFS, and Amazon FSx for Windows File Server.
- (A) True
- (B) False
Answer: A) True
Explanation: AWS DataSync is a data transfer service that automates moving data between on-premises storage and AWS services like Amazon S3, Amazon EFS, and Amazon FSx for Windows File Server.
For real-time data ingestion into AWS, which service would you use?
- (A) AWS Snowball
- (B) Amazon Kinesis Data Firehose
- (C) AWS DataSync
- (D) AWS Direct Connect
Answer: B) Amazon Kinesis Data Firehose
Explanation: Amazon Kinesis Data Firehose is the easiest way to reliably load streaming data into data lakes, data stores, and analytics tools. It can capture, transform, and load streaming data into Amazon S3, Amazon Redshift, Amazon Elasticsearch Service, and Splunk, enabling real-time analytics.
True or False: When migrating databases to AWS, AWS Database Migration Service (DMS) helps with the migration of the schema and data but does not support continuous replication.
- (A) True
- (B) False
Answer: B) False
Explanation: AWS Database Migration Service (DMS) supports both one-time migrations and can also maintain continuous data replication between source and target, so it supports schema conversion and ongoing replication.
Which AWS service enables offline data transfer by shipping storage devices to AWS?
- (A) AWS Direct Connect
- (B) Amazon Kinesis Data Firehose
- (C) AWS Snowball
- (D) AWS DataSync
Answer: C) AWS Snowball
Explanation: AWS Snowball is a part of the AWS Snow Family of services that provide physical devices to transfer large amounts of data into and out of AWS, using secure appliances for transport as an alternative to data transfer over the network.
True or False: When using AWS Direct Connect, you can partition a single physical connection into multiple virtual interfaces to use with public and private resources.
- (A) True
- (B) False
Answer: A) True
Explanation: AWS Direct Connect allows for a physical connection to be partitioned into multiple virtual interfaces. This enables the connection to be used to access both public resources like Amazon S3 and private resources such as Amazon Virtual Private Cloud (VPC), thereby maintaining network separation between the public and private environments.
Which mechanism would be a suitable choice for real-time transfer and analysis of streaming data (for example, application logs, IoT device data)?
- (A) AWS Snowball Edge
- (B) AWS Direct Connect
- (C) Amazon Kinesis
- (D) AWS Database Migration Service (DMS)
Answer: C) Amazon Kinesis
Explanation: Amazon Kinesis makes it easy to collect, process, and analyze real-time streaming data such as application logs, IoT device data, and more. It allows for the real-time processing of high-volume, high-velocity data streams, making it ideal for real-time analytics use cases.
Interview Questions
Describe a scenario where AWS DataSync would be the most appropriate service to transfer applications to AWS.
AWS DataSync is most appropriate for transferring large volumes of data and applications over the internet or direct connect links. It is particularly suitable for scenarios that require recurring, scheduled transfer tasks, or when data needs to be moved at high-speed, as DataSync can automate and accelerate the transfer process up to 10 times faster than traditional tools.
When would you consider using AWS Transfer for SFTP over other services for application transfer?
You would consider AWS Transfer for SFTP when you need to securely transfer files directly into and out of Amazon S3 using the Secure File Transfer Protocol (SFTP) and you rely on SFTP for file operations in your business workflows. It is a managed service that scales automatically to meet demand without needing to manage the underlying infrastructure.
How would you approach the transfer of a legacy application that relies heavily on a file system interface?
For a legacy application with dependency on a file system interface, AWS offers the Amazon FSx service, which provides fully managed third-party file systems like Windows File Server and Lustre. Amazon FSx integrates with S3 and can be accessed over VPN or AWS Direct Connect, facilitating the transfer and modernization of legacy applications that require file system capabilities.
What would lead you to use AWS Snowball over internet-based transfer services?
AWS Snowball is optimal when dealing with large-scale data migrations (several petabytes) from on-premises environments which would be time-consuming and costly over the internet. Snowball is also suitable for transferring data from locations with limited connectivity or cost-prohibitive internet bandwidth, as it involves physical transport of data using secure, ruggedized devices.
Can you explain the benefits of AWS Direct Connect for application transfer as opposed to VPN solutions?
AWS Direct Connect provides a dedicated network connection between your premises and AWS, offering more consistent network performance and potentially reducing network costs compared to VPN solutions. It is ideal for transferring large volumes of data or applications, as it provides higher bandwidth options and lower latency than internet-based VPNs.
What factors should be considered when choosing between multi-part upload and Amazon S3 Transfer Acceleration for transferring large application files?
When choosing between multi-part upload and Amazon S3 Transfer Acceleration, you should consider the file size and your proximity to an AWS region. Multi-part upload is effective for large files and is capable of improving performance by uploading parts in parallel. S3 Transfer Acceleration is more appropriate when your upload speed to an S3 bucket is constrained by your distance from an AWS region; it utilizes Amazon CloudFront’s globally distributed edge locations to accelerate uploads to S
In what scenario is it recommended to use AWS Application Discovery Service during the transfer process of an application?
AWS Application Discovery Service is recommended when transferring complex or enterprise applications where there is a need to understand the application dependencies and performance profile. It helps in identifying the necessary components of the application, its workload, and network dependencies before migrating, which ensures a more accurate and efficient transfer.
When would you prioritize the use of AWS Migration Hub over individual migration tools?
AWS Migration Hub is best utilized when managing a large migration which involves multiple migrations tools and services. It provides a single location to track the progress of application migrations across multiple AWS and partner solutions, offering better visibility and control over the entire migration process.
How does Amazon S3’s Intelligent-Tiering storage class affect the cost and efficiency of transferring and storing applications with unknown or unpredictable access patterns?
Amazon S3 Intelligent-Tiering is a storage class designed for data with unknown or unpredictable access patterns, automatically moving data to the most cost-effective access tier based on usage patterns. This can reduce costs without impacting performance or operational overhead since there is no need to analyze and choose a specific storage class in advance for the application data.
When transferring a large database to AWS, what considerations might lead you to choose the AWS Database Migration Service (DMS)?
You would choose AWS DMS when you require minimal downtime, as DMS supports continuous data replication. It is also suitable for heterogeneous database migrations (from one database engine to another), and in situations where you need to keep the source database operational during the transfer process.
How does the use of Amazon EFS affect the choice of application transfer mechanisms for Linux-based applications?
Amazon EFS provides a scalable, elastic, cloud-native NFS file system for Linux-based applications. When transferring these applications, EFS allows you to quickly and easily mount the file system on your AWS infrastructure, simplifying the transfer process for applications that need shared access to data with a file system interface.
What are the key factors to consider when deciding to rehost an application on AWS versus re-platforming or refactoring it during the transfer?
Key factors to consider include the complexity, cost, and time constraints of the project. Rehosting (lift-and-shift) is faster and less complex, and may be appropriate for short-term migrations or when the application must be moved quickly with minimal changes. Re-platforming involves some level of optimization to take advantage of cloud capabilities without changing the core architecture. Refactoring is the most complex and usually undertaken if the application needs substantial changes to support scalability, agility, or other cloud-native features offered by AWS.
This blog post was really helpful in understanding the various app transfer mechanisms in AWS.
Can anyone explain the difference between DataSync and Transfer Family?
I appreciate the clarity in this article, it helped me a lot for exam preparation.
Would you recommend using AWS Transfer for SFTP for large file transfers?
I found the integration part between different AWS services a bit confusing. Any tips?
Great post! Hints like these make cracking SAP-C02 a lot easier.
How does Storage Gateway stack up against Snowball for data transfer?
I liked the section on optimizing costs, very crucial for architect exams.