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Table of Contents

Amazon DynamoDB Provisioned Capacity – China (Beijing) and China (Ningxia) Regions

Amazon DynamoDB lets you specify the request throughput you want your table to be able to achieve (your table’s “throughput capacity”). Behind the scenes, DynamoDB handles the provisioning of resources to achieve your requested throughput rate. Rather than asking you to think about instances, hardware, memory, and other factors that could affect your throughput capacity, we simply ask you to provision the throughput level you want to achieve and we handle the rest.

When you create or update your DynamoDB table, you specify how much capacity you want to reserve for reads and writes. DynamoDB then reserves the necessary machine resources to meet your throughput needs with consistent, low-latency performance.

You pay a flat, hourly rate based on the capacity you reserve:

  • Write throughput: ¥ 0.058 for every 10 units of write capacity
  • Read throughput: ¥ 0.058 for every 50 units of read capacity

For small items, one unit of capacity can handle one request per second (or two requests per second in the case of eventually consistent reads). Transactional requests require two capacity units. In DynamoDB, a transactional request differs from a standard request in that it guarantees all operations contained in a single transaction set succeed or fail as a set. Larger items may require more units of capacity to handle the same request rate. To learn more about estimating how many capacity units you need for your table, see Working with Tables in DynamoDB

Amazon DynamoDB On-Demand Capacity – China (Beijing) and China (Ningxia) Regions

When you create or update your DynamoDB table, you can choose on-demand capacity mode to use DynamoDB with no capacity planning required. DynamoDB handles capacity management on your behalf and serves read and write requests on demand.

You pay a flat price for each read or write request performed:

  • Write requests: ¥ 11.1538 for every 1,000,000 write request units
  • Read requests: ¥ 2.2308 for every 1,000,000 read request units

For small items, DynamoDB charges one request unit for one request (or two requests in the case of eventually consistent reads). Transactional requests require two request units. Larger items may require request units for each request. To learn more about how write request units and read request units work, see Working with Tables in DynamoDB.

Amazon DynamoDB Indexed Data Storage – China (Beijing) and China (Ningxia) Regions

¥ 2.20 per GB-month

DynamoDB is an indexed datastore, and the amount of disk space your data consumes will exceed the raw size of the data you have uploaded. DynamoDB measures the size of your billable data by totaling the raw byte size of the data you upload, and adding to it a per-item storage overhead of 100 bytes to account for indexing. You do not need to “provision” storage with DynamoDB. You are simply billed for what you use.

Amazon DynamoDB Streams – China (Beijing) and China (Ningxia) Regions

Amazon DynamoDB Streams is a time-ordered sequence of item-level changes on a DynamoDB table. DynamoDB Streams can be enabled on a per-table basis, and there is no charge for enabling DynamoDB Streams. You only pay for reading data from DynamoDB Streams. Reads are measured as read request units. Each “GetRecords” API call is billed as a DynamoDB Streams read request unit and returns up to 1 MB of data from DynamoDB Streams. Pricing details:

¥ 0.1780 per 100,000 DynamoDB Streams read request units

Amazon DynamoDB Reserved Capacity – China (Beijing) and China (Ningxia) Regions

 
1-year term

Monthly commitment
Upfront
Hourly

100 write capacity units
¥ 1,300
¥ 0.120

100 read capacity units
¥ 280
¥ 0.022

Reserved capacity pricing offers significant savings over the normal price of DynamoDB provisioned throughput capacity. When you buy reserved capacity, you pay a one-time upfront fee and commit to paying for a minimum usage level, at the hourly rates indicated in the preceding table, for the duration of the reserved capacity term. To purchase reserved capacity, navigate to the Amazon Web Services Management Console, navigate to the DynamoDB console, choose Reserved capacity, and then choose Purchase reserved capacity.

Amazon Kinesis Data Streams for Amazon DynamoDB – China (Beijing) and China (Ningxia) Regions

Use this feature to continuously capture item-level changes on your Amazon DynamoDB tables and replicate them in near-real time to your Amazon Kinesis data stream. For every item-level change, Amazon DynamoDB replicates both the new and old item’s images to your Amazon Kinesis data stream.

We’ve introduced a new Amazon DynamoDB pricing dimension, change data capture unit, that counts the item-level changes being replicated from your table. Amazon DynamoDB charges change data capture operations as “delegated operations”. This means that Amazon DynamoDB performs them on your behalf, and you don’t need to manage capacity for these requests. When you create or delete an item in a table, Amazon DynamoDB charges one change data capture unit per chunk of 1KB that constitutes the item being created or deleted. When updating or replacing an existing item, Amazon DynamoDB charges one change data capture unit per chunk of 1KB that constitutes the new item’s image only.

  •  ¥ 0.89230 per million change data capture units for Kinesis Data Streams

Additional charges apply for provisioning shards in your Amazon Kinesis data stream and for PUT requests made against you Amazon Kinesis data stream. For more information about these charges, see Amazon Kinesis Data Streams pricing.

Amazon DynamoDB Data Transfer – China (Beijing) and China (Ningxia) Regions

 
Pricing

Data transfer IN

All data transfer in
¥ 0.000 per GB

Data transfer OUT

All data transfer out
¥ 0.933 per GB (promotional)

Data transfer “in” and “out” refers to transfer into and out of DynamoDB. There is no additional charge for data transferred between DynamoDB and other services within the same Amazon Web Services Region (in other words, ¥0.00 per GB).

Data transfer out rate sizes aggregate outbound data transfer across Amazon EC2, Amazon EBS, Amazon S3, Amazon Glacier, Amazon RDS, DynamoDB, Amazon SQS, Amazon SNS, Amazon Storage Gateway, and Amazon VPC.

Amazon DynamoDB On-Demand Backup – China (Beijing) and China (Ningxia) Regions

With on-demand backups, you can create full backups of your Amazon DynamoDB table data and settings for data archiving, helping you meet your corporate and governmental regulatory requirements. You can back up tables from a few megabytes to hundreds of terabytes of data, with no impact on the performance or availability of your production applications.

On-demand backup is charged based on the storage size of the table (in other words, the table data and local secondary indexes). The size of each backup is determined at the time of each backup request. The total backup storage size billed each month is the sum of all backups of DynamoDB tables in an Amazon Web Services account by Amazon Web Services Region. You will be billed for the total size of your backups for the month less a prorated credit for any backups that are deleted within that billing month. Amazon Web Services will continue to bill you for on-demand backups at the same rate until you delete the backups.

For example, assume that your application is running in the China (Beijing) Region operated by Sinnet, and the sum of all your on-demand backup storage is 60 GB for a 30-day month. The monthly cost of your backups would be (¥ 0.88 x 60 GB) = ¥ 52.80/month. If you deleted all your on-demand backup data 10 days into the monthly cycle, you would receive a ¥ 35.20 credit (¥ 0.88 x 60 GB x 20/30), resulting in a bill of ¥ 17.60/month. Alternatively, if you deleted 15 GB of your on-demand backup data 10 days into the monthly cycle, you would be billed (¥ 0.88 x 60 GB) – (¥ 0.88 x 15 GB x 20/30) = ¥ 44.00/month.

  • ¥ 0.88 per GB-month

Amazon DynamoDB Continuous Backups and Point-in-time Recovery – China (Beijing) and China (Ningxia) Regions

Point-in-time recovery (PITR) provides continuous backups of your DynamoDB table data. You can enable PITR with a single click from the Amazon Web Services Management Console or a single API call. When enabled, DynamoDB maintains continuous backups of your table for the preceding 35 days.

PITR is charged based on the current size of each DynamoDB table (table data, local secondary indexes) where it is enabled. Amazon Web Services will continue to bill you until you disable PITR on each table.
 

  • ¥ 1.76 per GB-month
     

Amazon DynamoDB Restoring a Table – China (Beijing) and China (Ningxia) Regions

Restoring a table from on-demand backups or PITR is charged based on the total size of data restored (table data, global secondary indexes) for each request. 

  • ¥ 1.32 per GB

Amazon DynamoDB Encryption at Rest – China (Beijing) Region and China (Ningxia) Region

DynamoDB encryption at rest provides enhanced security by encrypting all your data at rest using encryption keys stored in Amazon Key Management Service (Amazon KMS). This functionality helps reduce the operational burden and complexity involved in protecting sensitive data. With encryption at rest, you can build security-sensitive applications that meet strict encryption compliance and regulatory requirements.

DynamoDB encryption at rest provides an additional layer of data protection by securing your data whenever the data is stored in durable media. Organizational policies, industry or government regulations, and compliance requirements often require the use of encryption at rest to increase the data security of your applications.

Encryption at rest using the Amazon Web Services owned CMK is offered at no additional cost. However, Amazon KMS charges apply for an Amazon Web Services managed CMK and Customer managed CMK.

Amazon DynamoDB Accelerator (DAX) – China (Beijing) and China (Ningxia) Regions

DynamoDB charges for DAX capacity by the hour and your DAX instances run with no long-term commitments. Pricing is per node-hour consumed and is dependent on the instance type you select. Each partial node-hour consumed is billed as a full hour. Pricing applies to all individual nodes in the DAX cluster. For example, if you have a three-node DAX cluster, you are billed for each of the separate nodes (three nodes in total) on an hourly basis.

There is no charge for data transfer between Amazon EC2 and DAX within the same Availability Zone. Standard Amazon EC2 data transfer charges apply when transferring data between an Amazon EC2 instance and a DAX node in different Availability Zones of the same Amazon Web Services Region. However, you are charged only for the data transfer into or out of the Amazon EC2 instance. There is no DAX data transfer charge for traffic into or out of the DAX node itself. 

DAX T3 instances run in unlimited mode, which means that you will be charged if your average CPU utilization over a rolling 24-hour period exceeds the baseline of the instance. CPU credits are charged at ¥ 0.773 per vCPU-hour.

China (Beijing) Pricing

DAX Node Type

vCPU

Memory (GiB)

China (Beijing) Pricing

dax.t3.small

2

2

¥ 0.362 per Hour

dax.t3.medium

2

4

¥ 0.725 per Hour

dax.t2.small

1

2

¥ 0.362 per Hour

dax.t2.medium

2

4

¥ 0.725 per Hour

dax.r5.large

2

16

¥ 2.457 per Hour

dax.r5.xlarge

4

32

¥ 4.914 per Hour

dax.r5.2xlarge

8

64

¥ 9.843 per Hour

dax.r5.4xlarge

16

128

¥ 19.673 per Hour

dax.r5.8xlarge

32

256

¥ 39.346 per Hour

dax.r5.12xlarge

48

384

¥ 59.032 per Hour

dax.r5.16xlarge

64

512

¥ 78.709 per Hour

dax.r5.24xlarge

96

768

¥ 118.062 per Hour

China (Ningxia) Pricing

DAX Node Type

vCPU

Memory (GiB)

China (Ningxia) Pricing

dax.t3.small

2

2

¥ 0.323 per Hour

dax.t3.medium

2

4

¥ 0.644 per Hour

dax.t2.small

1

2

¥ 0.323 per Hour

dax.t2.medium

2

4

¥ 0.644 per Hour

dax.r4.large

2

15.25

¥ 2.427 per Hour

dax.r4.xlarge

4

30.5

¥ 4.845 per Hour

dax.r4.2xlarge

8

61

¥ 9.693 per Hour

dax.r4.4xlarge

16

122

¥ 19.391 per Hour

dax.r4.8xlarge

32

244

¥ 38.775 per Hour

dax.r4.16xlarge

64

488

¥ 77.55 per Hour

dax.r5.large

2

16

¥ 1.78 per Hour

dax.r5.xlarge

4

32

¥ 3.56 per Hour

dax.r5.2xlarge

8

64

¥ 7.13 per Hour

dax.r5.4xlarge

16

128

¥ 14.25 per Hour

dax.r5.8xlarge

32

256

¥ 28.51 per Hour

dax.r5.12xlarge

48

384

¥ 42.76 per Hour

dax.r5.16xlarge

64

512

¥ 57.01 per Hour

dax.r5.24xlarge

96

768

¥ 85.52 per Hour

Amazon DynamoDB – Global Tables

DynamoDB charges for global tables usage based on the resources used on each replica table. Write requests for global tables are measured in replicated WCUs for provisioned capacity and replicated write request units for on-demand capacity. For more information, see Best Practices and Requirements for Managing Global Tables . Read requests and data storage are billed consistently with standard tables (tables that are not global tables). If you add a table replica to create a global table in a new Amazon Web Services Region, DynamoDB charges for a table restore in the added Region per gigabyte of data restored. Cross-region replication and adding replicas to tables that contain data also incur charges for data transfer out. See the “Data transfer” section on this pricing page for details.

Provisioned capacity: ¥ 0.087 for every 10 units of replicated write capacity

On-demand capacity: ¥ 16.7307 for every 1,000,000 replicated write request units

Data export to Amazon S3 – China (Beijing) and China (Ningxia) Regions

Use this feature to export data from your DynamoDB continuous backups (point-in-time recovery) to Amazon S3. The supported output data formats are DynamoDB JSON and Amazon Ion. You can analyze the exported data by using Amazon Web Services services such as Amazon Athena, Amazon SageMaker, and Amazon Lake Formation .

DynamoDB charges for data you export based on the size of each DynamoDB table (table data, local secondary indexes, and global secondary indexes) at the specified point in time when the backup was created.

  • ¥ 0.88000 per GB

Additional charges apply for storing exported data in Amazon S3 and for PUT requests made against your Amazon S3 bucket. For more information about these charges, see Amazon S3 pricing.

Pricing Examples

DynamoDB pricing examples for On-Demand Capacity

Basic example

This example demonstrates how DynamoDB charges using on-demand capacity mode.

Assume you create a new table in the Amazon Web Services China (Ningxia) Region. Because this table is for a new application, you do not know what your traffic patterns will be. For simplicity, assume that each time a user interacts with your application, 1 write of 1 KB and 1 strongly consistent read of 1 KB are performed.

For a period of 10 days, you receive little traffic to your application, resulting in 10,000 reads and 10,000 writes on your table each day. However, on day 11 your application gains attention on social media, and application traffic spikes to 2,500,000 reads and 2,500,000 writes that day. DynamoDB scales to deliver a seamless experience to your users. Your application then settles into a more regular traffic pattern, averaging 50,000 reads and 50,000 writes each day through the end of the month. The following table summarizes your total usage for the month.

Timeframe (Day of Month)

Total Writes

Total Reads

1–10

100,000 writes (10,000 writes x 10 days)

100,000 reads (10,000 reads x 10 days)

11

2,500,000 writes

2,500,000 reads

12-30

950,000 writes (50,000 writes x 19 days)

950,000 reads (50,000 reads x 19 days)

Monthly total

3,550,000 writes

3,550,000 reads

Monthly bill

¥39.60 (¥11.1538 per million writes x 3.55 million writes)

¥7.92 (¥2.2308 per million reads x 3.55 million reads)

Data storage: Assume your table occupies 25 GB of storage at the beginning of the month and grows to 29 GB by the end of the month, averaging 27 GB based on DynamoDB continuous monitoring. The first 25 GB of storage are included in the Amazon Web Services China (Ningxia) Region Free Tier. The remaining 2 GB of storage are charged at ¥2.20 per GB, resulting in a table storage cost of ¥4.40 for the month.

For the month, your bill will be ¥51.92, a total that includes ¥47.52 for reads and writes and ¥4.40 for data storage.

Detailed example

This example demonstrates how DynamoDB charges using on-demand capacity mode.

Assume you create a new table in the Ningxia Region. Because this table is for a new application, you do not know what your traffic patterns will be. For simplicity, assume that each time a user interacts with your application, 1 write of 1 KB and 1 strongly consistent read of 1 KB are performed.

For a period of seven days, you receive little traffic to your application, resulting in 1,000 writes and reads to your table each day. However, on the eighth day your application gains the attention of a prominent influencer in your industry, and application traffic unexpectedly spikes to 10,000,000 writes and reads for the day. Your application then settles into a more regular traffic pattern, averaging 150,000 writes and reads each day for the next two weeks. Traffic then begins to trail off quickly, with transactions dropping to 10,000 writes and reads per day for the next seven days.

Finally, unexpected attention on social media causes your application to go viral. For the final day of the month, your application performs 30,000,000 writes and reads on your table. The following table summarizes your total usage for the month.

Timeframe (Day of Month)

Total Writes

Total Reads

1–7

7,000 writes (1,000 writes x 7 days)

7,000 reads (1,000 reads x 7 days)

8

10,000,000 writes

10,000,000 reads

9–22

2,100,000 writes (150,000 writes x 14 days)

2,100,000 reads (150,000 reads x 14 days)

23–29

70,000 writes (10,000 writes x 7 days)

70,000 reads (10,000 reads x 7 days)

30

30,000,000 writes

30,000,000 reads

Monthly total

42,177,000 writes

42,177,000 reads

Monthly bill

¥470.43(¥11.1538 per million writes x 42.177 million writes)

¥94.09 (¥2.2308 per million reads x 42.177 million reads)

Data storage: Assume your table occupies 25 GB of storage at the beginning of the month and grows to 29 GB by the end of the month, averaging 27 GB based on continuous monitoring of your table size. The first 25 GB of storage are included in the Amazon Web Services China (Ningxia) Region Free Tier. The remaining 2 GB of storage are charged at ¥2.20 per GB, resulting in a table storage cost of ¥4.40 for the month.

Backup and restore: If the sum of all your on-demand backup storage were 60 GB for a 30-day month, the monthly cost of your backups would be (¥0.88 x 60 GB) = ¥52.8/month. However, if you delete 15 GB of your on-demand backup data 10 days into the monthly cycle, you are billed (¥0.88 x 60 GB) – (¥0.88 x 15 GB x 20/30) = ¥44.00/month. Now assume that in addition to performing on-demand backups, you use continuous backups. The average size of your table is 27 GB, resulting in a monthly cost of (¥1.76 x 27 GB) = ¥47.52/month. If you need to restore your table at the end of the month, the cost is (¥1.32 x 29 GB) = ¥38.28.

Change data capture for Kinesis Data Streams: Now assume you enable streaming to a Kinesis data stream to process your data changes using Amazon Kinesis services. DynamoDB charges one change data capture unit for each write of 1 KB it captures to the Kinesis data stream. Assuming your application write traffic from earlier in this example is consistent for your Kinesis data stream, this results in 42,177,000 change data capture units over the course of the month. Your monthly cost will be (¥0.8923 x 42,177,000/1,000,000) = ¥37.63.

Data export to Amazon S3: Let’s say you want to export table backups to Amazon S3 for analysis. If the size of your table at the specified point in time is 29 GB, the resulting export costs are: (¥0.88 x 29 GB) = ¥25.52.

DynamoDB Accelerator (DAX): You have determined that you need to accelerate the response time of your application and decide to use DynamoDB Accelerator (DAX). You review the available hardware specifications and determine that a three-node cluster of the t2.small instance type will suit your needs. You enable DAX on day 26. DynamoDB charges ¥0.969 per hour (¥0.323 x 3 nodes), totaling ¥116.28 for the final 5 days in the month (¥0.969 x 120 hours).

lobal tables: Now assume you choose to create a disaster recovery replica table in the Amazon Web Services China (Beijing) Region. Assume that you add the replica in the Beijing Region when your table is 25 GB in size, resulting in ¥33 (¥1.32 x 25 GB) of table restore charges. Adding this replica also generates 25 GB of data transfer, as detailed under the “Data transfer” section below. Also assume that your application traffic from earlier in this example is consistent for your global table. You will consume 84.35 million replicated write request units (42,177,000 writes x 2 Regions), as described in Best Practices and Requirements for Managing Global Tables, resulting in a charge of  ¥1411.23 (84.35 million replicated write request units x ¥ 16.7307 per million). You also store an additional 27 GB of data in your replicated table in the Beijing Region. The first 25 GB of storage are included in the Amazon Web Services China (Ningxia) Region Free Tier. The remaining 2 GB of storage are charged at ¥2.20 per GB, resulting in additional table storage cost of ¥4.40 for the month.

DynamoDB Streams: Assume you enable DynamoDB Streams and build your application to perform one read request per second against the streams data. Over the course of a month, this results in 2,592,000 streams read requests, of which the first 2,500,000 read requests are included in the Amazon Web Services China (Ningxia) Region Free Tier. You pay only for the remaining 92,000 read requests, which are ¥ 0.178 per 100,000 read request units.

Data transfer: Because you are transferring data between Amazon Web Services China Regions for your global tables implementation, DynamoDB charges for data transferred out of the specific China Region but not for inbound data transfer. Assuming 42,177,000 writes of 1 KB each in the month, you would generate 40.22 GB in data to transfer between Regions. Adding the replica in the Beijing Region generates an additional 25 GB of data transfer. If you have already used your Amazon Web Services China (Ningxia) Region Free Tier data transfer allowance on other Amazon Web Services services, you will be charged ¥61.578 (¥0.933 x [41 + 25]) GB) for data transfer.

In summary, your total monthly charges for a single-Region DynamoDB table are:

  • Write traffic: ¥470.43
  • Read traffic: ¥94.09
  • Data storage: ¥4.40
  • On-demand backup: ¥44.00
  • Continuous (PITR) backup: ¥47.52
  • Table restore: ¥38.28
  • Change data capture for Kinesis Data Streams: ¥37.63
  • Data export to Amazon S3: ¥25.52
  • DynamoDB Accelerator (DAX): ¥116.28
  • DynamoDB Streams: ¥0.178

Total charges: ¥878.33

Your total monthly DynamoDB charges after adding the Beijing Region are:

  • Read traffic: ¥470.43
  • Data storage in Ningxia: ¥4.40
  • On-demand backup: ¥44.00
  • Continuous (PITR) backup: ¥47.52
  • Table restore in Ningxia: ¥38.28
  • Change data capture for Kinesis Data Streams: ¥37.63
  • Data export to Amazon S3: ¥25.52
  • DynamoDB Accelerator (DAX): ¥116.28D
  • ynamoDB Streams: ¥0.178
  • Global tables table restore in Beijing: ¥33
  • Global tables replicated write requests: ¥1411.23
  • Global tables data storage in Beijing: ¥4.40Data transfer: ¥61.578

Total charges: ¥2294.45

DynamoDB pricing examples for Provisioned Capacity

Basic example

This example demonstrates how pricing is calculated for an auto scaling–enabled table with the provisioned capacity mode. Auto scaling continuously sets provisioned capacity in response to actual consumed capacity so that actual utilization stays near target utilization.

Assume that you create a new table in the Ningxia Region with target utilization set to the default value of 70 percent, minimum capacity units at 100 RCUs and 100 WCUs, and maximum capacity set to 400 RCUs and 400 WCUs (see Limits in DynamoDB). For simplicity, assume that each time a user interacts with your application, one write of 1 KB and one strongly consistent read of 1 KB are performed.

For the first 10 days, assume that the consumed RCUs and WCUs vary between 1 and 70. Auto scaling does not trigger any scaling activities and your bill per hour is ¥0.696 (¥0.58 for the 100 WCUs provisioned [¥0.0058 * 100] and ¥0.116 for the 100 RCUs [¥0.00116 * 100]).

Now assume that on day 11 the consumed capacity increases to 100 RCUs and 100 WCUs. Auto scaling starts triggering scale-up activities to increase the provisioned capacity to 143 WCUs and 143 RCUS (100 consumed ÷ 143 provisioned = 69.9 percent). The per-hour bill is ¥0.99528 (¥0.8294 for 143 WCUs and ¥0.16588 for 143 RCUs).

On day 21, assume the consumed capacity decreases to 80 RCUs and 80 WCUs. Auto scaling starts triggering scale-down activities to decrease provisioned capacity to 114 WCUs and 114 RCUs (80 consumed ÷ 114 provisioned = 70.2 percent). The per-hour bill is ¥0.79344 (¥0.6612 for 114 WCUs and ¥0.13224 for 114 RCUs).

For the month, you will be charged ¥596.33 as follows:

Days 1 – 10: ¥167.04 (¥0.696 per hour x 24 hours x 10 days)

Days 11 – 20: ¥238.86 (¥0.99528 per hour x 24 hours x 10 days)

Days 21 – 30: ¥190.43 (¥0.79344 per hour x 24 hours x 10 days)

The Amazon Web Services China (Ningxia) Region Free Tier includes 25 WCUs and 25 RCUs, reducing your monthly bill by ¥125.28

    25 WCU x ¥0.0058 per hour x 24 hours x 30 days = ¥104.4

    25 RCU x ¥0.00116 per hour x 24 hours x 30 days = ¥20.88

Data storage: Assume your table occupies 25 GB of storage at the beginning of the month and grows to 29 GB by the end of the month, averaging 27 GB based on the continuous monitoring of your table size. The first 25 GB of storage are included in the Amazon Web Services China (Ningxia) Region Free Tier. The remaining 2 GB of storage are charged at ¥2.20 per GB, resulting in a table storage cost of ¥4.40 for the month.

For the month, your total bill will be ¥475.45, a total that includes ¥471.05 for read and write capacity and ¥4.40 for data storage.

Detailed example

This example demonstrates how pricing is calculated for an auto scaling–enabled table with provisioned capacity mode. Auto scaling continuously sets provisioned capacity in response to actual consumed capacity so that actual utilization stays near target utilization.

Assume you create a new table in the Ningxia Region with target utilization set to the default value of 70 percent, minimum capacity units at 100 RCUs and 100 WCUs, and maximum capacity set to 400 RCUs and 400 WCUs (see Limits in DynamoDB). Auto scaling operates with these limits, not scaling down provisioned capacity below the minimum or scaling up provisioned capacity above the maximum. When the table is created, auto scaling starts by provisioning the minimum capacity units. For simplicity, assume that each time a user interacts with your application, 1 write of 1 KB and 1 strongly consistent read of 1 KB are performed.

In the first hour after table creation, assume that the consumed RCUs and WCUs vary between 1 and 70. The actual utilization correspondingly varies between 1 percent (1 consumed ÷ 100 provisioned) and 70 percent (70 consumed ÷ 100 provisioned), within the target utilization of 70 percent. Auto scaling does not trigger any scaling activities and your bill for the hour is ¥0.696 (¥0.58 for the 100 WCUs provisioned [¥0.0058 * 100] and ¥0.116 for the 100 RCUs [¥0.00116 * 100]).

During the second hour, assume the consumed capacity increases to 100 RCUs and 100 WCUs, which results in an actual utilization increase to 100 percent (100 consumed ÷ 100 provisioned), well above the target utilization of 70 percent. Auto scaling starts triggering scale-up activities to increase the provisioned capacity to bring actual utilization closer to the target of 70 percent. The result is a provisioned capacity of 143 WCUs and 143 RCUs (100 consumed ÷ 143 provisioned = 69.9 percent). The bill for this second hour is ¥0.99528 (¥0.8294 for 143 WCUs and ¥0.16588 for 143 RCUs).

During the third hour, assume the consumed capacity decreases to 80 RCUs and 80 WCUs, which results in an actual utilization decrease to 56 percent (80 consumed ÷ 143 provisioned), well below the target utilization of 70 percent. Auto scaling starts triggering scale-down activities to decrease provisioned capacity to bring actual utilization closer to the target of 70 percent, resulting in provisioned capacity of 114 WCUs and 114 RCUs (80 consumed ÷ 114 provisioned = 70.2 percent). The bill for this third hour is ¥0.79344 (¥0.6612 for 114 WCUs and ¥0.13224 for 114 RCUs).

For simplicity, assume that your consumed capacity remains constant at 80 RCUs and 80 WCUs. Your table also remains provisioned for 114 WCUs and 114 RCUs, with a daily charge of ¥19.04, broken out as:

         114 WCUs x ¥0.0058 per hour x 24 hours = ¥15.8688

          114 RCUs x ¥0.00116 per hour x 24 hours =¥3.17376

For the month, you are charged ¥591.114:

Day 1 total: ¥38.954 per day

           Hour 1: ¥0.696 per hour

           Hour 2: ¥0.99528 per hour

           Hours 3-24: ¥0.79344 per hour

Days 2-30: ¥19.04 per day

The Amazon Web Services China (Ningxia) Region Free Tier includes 25 WCUs and 25 RCUs, reducing your monthly bill by ¥125.28

            25 WCU x ¥0.0058 per hour x 24 hours x 30 days = ¥104.4

            25 RCU x ¥0.00116 per hour x 24 hours x 30 days = ¥20.88

Data storage: Assume your table occupies 25 GB of storage at the beginning of the month and grows to 29 GB by the end of the month, averaging 27 GB based on the continuous monitoring of your table size. The first 25 GB of storage are included in the Amazon Web Services China (Ningxia) Region Free Tier. The remaining 2 GB of storage are charged at ¥2.20 per GB, resulting in a table storage cost of ¥4.40 for the month.

Backup and restore: If the sum of all your on-demand backup storage is 60 GB for a 30-day month, the monthly cost of your backups is (¥0.88 x 60 GB) = ¥52.8/month. However, if you delete 15 GB of your on-demand backup data 10 days into the monthly cycle, you are billed (¥0.88 x 60 GB) – (¥0.88 x 15 GB x 20/30) = ¥44.00/month.

Now assume that in addition to performing on-demand backups, you use continuous backups. The size of your table is 29 GB, resulting in a monthly cost of (¥1.76 x 29 GB) = ¥51.04/month.

If you need to restore your 29 GB table once during the month, that restore costs (¥1.32 x 29 GB) = ¥38.28.

Change data capture for Kinesis Data Streams: Now assume you enable streaming to a Kinesis data stream to process your data changes using Amazon Kinesis services. Also assume that your write throughput is consistent with the previous example. Your application performs 80 writes of 1 KB per second. DynamoDB charges one change data capture unit for each write of 1 KB it captures to the Kinesis data stream. Over the course of a month, this results in (80 x 3,600 x 24 x 30) = 207,360,000 change data capture units. Your monthly cost will be (¥0.8923 x 207,360,000/1,000,000) = ¥185.03.

Data export to Amazon S3: Let’s say you want to export table backups to Amazon S3 for analysis. If the size of your table at the specified point in time is 29 GB, the resulting export costs are: (¥0.88 x 29 GB) = ¥25.52.

DynamoDB Accelerator (DAX): You have determined that you need to accelerate the response time of your application and decide to use DynamoDB Accelerator (DAX). You review the available hardware specifications and determine that a three-node cluster of the t2.small instance type suits your needs. You enable DAX on day 26. DynamoDB charges ¥0.969 per hour (¥0.323 x 3 nodes), totaling ¥116.28 for the final 5 days in the month (¥0.969 x 120 hours).

Global tables: Now assume you create a disaster recovery replica table in the Beijing Region. Assume that you add the replica in the Beijing Region when your table is 25 GB in size, resulting in ¥33 (¥1.32x 25 GB) of table restore charges. Adding this replica also generates 25 GB of data transfer, as detailed under the “Data transfer” section below. Also assume that your capacity needs are consistent with the previous example. Auto scaling continues to provision 114 WCUs and 114 RCUs for your application’s throughput needs, but it now must also provision rWCUs for writing to both of your replica tables. Provisioned rWCUs equal the total number of rWCUs needed for application writes in both Regions. In this scenario, you now perform 80 writes per second to both the Ningxia Region and the Beijing Region, resulting in a minimum provisioned capacity of 160 rWCUs (80 rWCUs in Ningxia Region + 80 rWCUs in Beijing Region= 160 rWCUs). Auto scaling provisions 229 rWCUs (160 rWCUs/70%) to maintain actual utilization at 70 percent of provisioned capacity. For more information, see Best Practices and Requirements for Managing Global Tables. Your first 25 rWCUs in each Region are included in the Amazon Web Services China (Ningxia) Region Free Tier, resulting in an hourly charge of ¥1.5573, or ¥1121.256 in a 30-day month. You also store an additional 27 GB of data in your replicated table in the Beijing Region. The first 25 GB of storage are included in the Amazon Web Services China (Ningxia) Region Free Tier. The remaining 2 GB of storage are charged at ¥2.20 per GB, resulting in additional table storage cost of ¥4.40 for the month.

DynamoDB Streams: Now assume you enable DynamoDB Streams and build your application to perform one read request per second against the streams data. Over the course of a month, this results in 2,592,000 streams read requests, of which the first 2,500,000 read requests are included in the Amazon Web Services China (Ningxia) Region Free Tier. You pay only for the remaining 92,000 read requests, which are ¥0.178 per 100,000 read request units.

Data transfer: Because you are now transferring data between Amazon Web Services China Regions for your global tables implementation, DynamoDB charges for data transferred out of the Region, but it does not charge for inbound data transfer. Assuming a constant 80 writes per second of 1 KB each, you generate 80 KB per second in data transfer between Regions, resulting in 198 GB (80 KB per second x 2,592,000 seconds in a 30-day month) of cross-Region data transfer per month. Adding the replica in the Beijing Region generates an additional 25 GB of data transfer. If you have already used your Amazon Web Services China (Ningxia) Region Free Tier data transfer allowance on other Amazon Web Services services, you will be charged ¥208.06 (¥0.933 x [198 GB + 25 GB]) for data transfer.

In summary, your total monthly charges for a single-Region DynamoDB table are:

Provisioned capacity: ¥465.83

Data storage: ¥4.40

On-demand backup: ¥44.00

Continuous (PITR) backup: ¥51.04

Table restore: ¥38.28

Change data capture for Kinesis Data Streams: ¥185.03

Data export to Amazon S3: ¥25.52

DynamoDB Accelerator (DAX): ¥116.28

DynamoDB Streams: ¥0.178

Total charges: ¥930.56

Your total monthly DynamoDB charges after adding the Beijing Region are:

Provisioned read capacity: ¥95.21

Data storage (Ningxia): ¥4.40

On-demand backup: ¥44.00

Continuous (PITR) backup: ¥51.04

Table restore (Ningxia): ¥38.28

Change data capture for Kinesis Data Streams: ¥185.03

Data export to Amazon S3: ¥25.52

DynamoDB Accelerator (DAX): ¥116.28

DynamoDB Streams: ¥0.178

Global tables table restore (Beijing): ¥33

Global tables replicated write capacity: ¥1121.26

Global tables data storage (Beijing): ¥4.40Data transfer: ¥208.06

Total charges: ¥1926.66

[Update] AWS Data Transfer Costs: Solving Hidden Network Transfer Costs | sns amazon ราคา – Australia.xemloibaihat

Have you ever noticed how AWS data transfer costs suddenly start to crop up in your monthly cloud bill? There are different data transfer types you can perform within or out of AWS. Because of the sheer number of different transfer types available, it can be challenging to keep track of all their associated costs. If you’re looking to do some AWS cost optimization, understanding these hidden costs is crucial.

In this article we take a look at the wide range of AWS data transfer costs and give you a few tips on how to keep them under control so you can avoid unnecessary spikes in your AWS cloud bill, including how NetApp Cloud Volumes ONTAP for AWS can help.

AWS Data Transfer Costs

In order to keep a precise accounting of all your AWS data transfer costs or if you want to optimize your AWS design before deploying it, you first need to know exactly how data transfers are charged. This part is a little bit tricky because some data transfer types are charged only one-way (either in or out) such as with S3, others have a fee when going in and another fee for outgoing transfers such as when transferring data between EC2 instances on different Availability Zones, VPCs, or regions. With such a diverse portfolio of AWS services, it can be easy to lose track of how costs can add up.

As a general guide, AWS charges users when moving data in either of two ways: between AWS and the Internet, and within the AWS cloud. Let’s take a look at both.

AWS Data Transfers Over the Internet

In from the Internet: The AWS cloud is not only the different worldwide regions and Availability Zones, but also Direct Connect links and AWS Edge Locations. Direct Connect links are dedicated private connections from on-premises sites to AWS. Edge Locations are data centers that are part of Amazon CloudFront, which delivers cached content of AWS services with reduced latency to users. 

Any data transfer coming from the Internet into AWS is free, whether it is into AWS Regions, into Direct Connect, or into Edge Locations.

Out to the Internet: Transfers that send data out over the internet are billed at region-specific and tiered data transfer rates. These rates take into account all the aggregate data transferred by all the following services: Amazon RDS, Amazon Redshift, Amazon SES, Amazon SimpleDB, Amazon EBS, Amazon S3, Amazon Glacier, Amazon SQS, AWS Storage Gateway, Amazon SNS, Amazon DynamoDB, and Amazon CloudWatch Logs.

You can see a specific, per-region chart with the tiered rates here. Below, we’ve included the rates for the US West region as an example:

Data transferred from Edge Locations out to the Internet is billed upon region-specific data tiered rates:

Data Transfer Costs Within the AWS Cloud

There are a few ways in which you can move data around the AWS cloud. Let’s explore them.

Inter-Region data transfers: Inter-region data transfer fees are charged at the source region rates. For example, if you have a web content backup stored in Amazon S3 in the South America (Sao Paulo) Region and you need to pull that data from S3 into any other region, you would need to pay according to the Sao Paulo Region rate of $0.138 per GB. If you are expanding your services and now you have app users geographically located on the United States west coast, and you plan to move a copy of your data from the US East (Ohio) region to US West (Los Angeles), you would need to pay by the US East Region rate of $0.02 per GB transferred. You can find all the source-specific region rates here. No fees have to be paid for the incoming traffic at the destination region.

Data transfers between AWS Regions and Direct Connect locations: While there are no AWS data transfer costs into any of the AWS Regions—a situation which follows the general rule that transferring data into AWS from the internet is free—transferring data from an AWS Region to a Direct Connect location does have a charge.

The rates for transferring data from an AWS Region into a Direct Connect location depend on the source Region and the destination Direct Connect location. For example, transferring data from the US East (Ohio) Region to a Direct Connection link in Montreal costs $0.0200 per GB. Transferring the same data from the EU (Frankfurt) region into the same Montreal Direct Connect link costs $0.0300 per GB.

AWS has a complete chart with the rates for transferring from AWS Regions to Direct Connect locations here.

Data transfers between Edge locations and AWS Regions: Remember, Edge locations are data centers that are part of the Amazon CloudFront CDN (Content Delivery Network). Those locations cache data such as videos, APIs, or applications for low-latency access. Transfers from AWS regions into Edge locations are free.

Transfers from Edge locations back to their origin are charged at region specific rates:

AWS Data transfer costs within the same region: Any time AWS resources or services communicate with each other within the same Region, there could be a potential fee attached to it. This is the type of AWS data transfer cost that can be a little trickier to keep track of and understand.

Here are few basic guidelines on how intra-region transfer fees are applied:

  • Whenever you are transferring data between Amazon EC2, AWS containers, Amazon RDS, Amazon Redshift, Amazon DynamoDB Accelerator (DAX), Amazon ElastiCache instances, or Elastic Network Interfaces across Availability Zones or across VPC peering connections, whether this transfer is over public, private or Elastic IPv4 or IPv6 addresses, there is an egress fee of $0.01 per GB and an ingress fee of $0.01 per GB.

For example, you could be transferring 500 GB of data between a Redshift cluster in VPC-a and an EC2 instance in VPC-b , both in the same Availability Zone, and you would be charged $5 for egress from VPC-a and $5 for ingress into VPC-b. Using the same case example, only now both of them reside in the same VPC but in different Availability Zones, you would be charged the same. 

  • Any data transfer between EC2 instances or containers or Elastic Network Interfaces in the same Availability Zone and in the same VPC, whether using Public or Elastic IPv4 addresses, comes with an egress charge of $0.01 per GB and an ingress charge of $0.01 per GB.
  • Any data transfer between EC2 instances or services, containers, or Elastic Network Interfaces in the same Availability Zone and same VPC using private IPv4 or IPv6 addresses is free. 
  • Data transfers between AWS services which can’t be confined to a particular Availability Zone or VPC (the clearest example being AWS S3) and EC2 instances or other AWS services within the same region are free. Amazon S3 is the main example but these other services follow the same rule including Amazon Glacier, Amazon DynamoDB, Amazon SES, Amazon SQS, Amazon Kinesis, Amazon ECR, Amazon SNS, and Amazon SimpleDB.

Some important exceptions for cross-AZ transfers:

  • Data transferred between Amazon Classic or Application Load Balancers and EC2 instances within the same region is free.
  • Some multi-AZ configurations for replication purposes are exempt from charges when replicating data across AZs. These include: Amazon Aurora, Amazon Neptune, and Amazon RDS.

7 Tips on How to Reduce AWS Costs for Transfers

Part of having a good AWS cost optimization strategy is to reduce data transfer costs as much as possible. This calls for an optimized cloud infrastructure design with an efficient storage solution and also for a preventive and proactive monitoring plan. For that matter, check the following seven tips:

  • Control data volumes: Limit the size of data transfers by using storage efficiencies with a data management platform such as NetApp Cloud Volumes ONTAP, which we’ll cover in detail below.
  • Region exclusivity: If possible, keep all traffic within the same region. If traffic needs to exit a region check and choose the region with the lowest transfer rates that makes most sense for your business requirements.
  • AZ exclusivity: Remember all traffic within the same AZ and the same VPC, using AWS Private IPs, is free. So, try keeping your resources within the same AZ and the same VPC using private IPs as much as possible.
  • Avoid NAT devices: If you have EC2 instances inside a VPC that need to communicate out to the Internet or to other AWS public resources, try not using a dedicated NAT device as they charge a rate per GB that goes through it on top of the data transfer out rates that might apply. Assign those instances public IPs and use the VPC Internet Gateway NAT functionality instead. Or you can also use VPC endpoints.
  • Use Amazon CloudFront: If you need to deliver data out to Internet users, consider Amazon CloudFront. Data transferred out to the Internet up to 50TB is going to be less expensive from Amazon CloudFront than if transferred out from AWS regions and with less latency. If you have a public facing service that delivers rich content such as videos or audio files, this might be a good option.
  • Track specific services: Make sure to check the data transfer pricing for the following services as they have specific pricing rules: Amazon ElastiCache, Amazon Neptune, Amazon CloudSearch, Amazon ElasticSearch, Amazon MSK (Managed Kafka).

AWS Cost Optimization Tools

Preventing and tracking AWS data transfer costs are the two main strategies related to monitoring. Here are some valuable monitoring tools and resources that will help you with both:

Preventively:

  • AWS Budget Tool lets you set cost thresholds which alert you when a budget has been exceeded or when it is forecasted to exceed it. You can include a data transfer parameter in this cost budget.
  • Billing Alerts let you configure billing alerts that trigger with Amazon CloudWatch when your account billing exceeds a specific threshold.

Tracking:

  • Using AWS Cost Explorer with cost allocation tags is possibly the best way to have deep insight into your data transfer costs.
  • Setting VPC Flow logs and publishing them to CloudWatch.
  • Use a network traffic monitoring tool such as IPTraf.

Learn more in our blog, AWS Cost Optimization: Concepts, Tools and Best Practices.

Implementing AWS Cost Controls with Cloud Volumes ONTAP

So how could implementing Cloud Volumes ONTAP aid you in reducing AWS data transfer costs? There are a number of ways that Cloud Volumes ONTAP can help.

A major benefit is SnapMirror data replication, which allows data to be moved efficiently between repositories not only in AWS but between on-prem deployments and other clouds.

NetApp’s storage efficiency features of deduplication, compression, and compaction ensure that the least possible amount of storage space is actually used, shrinking the size of data to transfer and therefore limiting costs. For example, if you are replicating between nodes in different Availability Zones for Disaster Recovery, storage efficiency ensures the least possible amount of data is being transferred. If you have a SnapMirror® data replication relationship between an on-prem ONTAP system and a Cloud Volumes ONTAP instance in AWS and you need to restore a Snapshot™ copy from the AWS instance back to on-prem, the lowest egress fees possible are going to apply for your transfer.

Additionally, Cloud Volumes ONTAP’s automatic data tiering from Amazon EBS to S3 does not accrue additional costs either. Data tiering moves data between Amazon EBS and Amazon S3 automatically based on its usage pattern. When the data isn’t in use, it is stored at less expense in S3; as soon as it is needed again, Cloud Volumes ONTAP automatically tiers it back to EBS for performant use, all without transfer fees.

Read these customer case studies to learn how Cloud Volumes ONTAP’s storage efficiency features cut costs.

Conclusion

There are a lot of ways in which you can move data around in the cloud. AWS data transfer costs can skyrocket if not designed and handled properly.

If you are planning on deploying Cloud Volumes ONTAP in AWS, many of its advanced features save on AWS transfer fees. Cloud Volumes ONTAP automatically applies deduplication, compression, and compaction storage efficiencies which guarantee the minimum amount of data possible is being stored and transferred.

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