Translated from 日本語 • View original We would like to share with you about the products announced during the keynote held on October 7, 2015 from 8:30 to 10:30 (local time).
A fast, easy-to-use, and cost-effective BI tool from Amazon. With the words big data and IoT flying around, the UI/UX part needed to be developed individually. If you have data using this, you can build BI immediately. For data analysis, we have developed a new engine called "SPICE". In addition, data export from SPICE will also be supported by Domo, Qlik, Tableau, Tibco, etc.
A derivative of Kinesis that has already been productized. Previously, when using data streamed in Kinesis in EC2, S3, and even Redshift, users had to develop their own applications. With Kinesis Firehose, you can easily load stream data directly into S3 or Redshift.
It's called QuickSight, it's called Kinesis Firehose, and it doesn't require user-side development, and you can do what you want to do right away.
This is the most surprising thing about this product announcement. Data migration is one of the biggest barriers for users who want to move from on-premises to the cloud. Snowball is a product that allows this data migration to be carried out safely and quickly. It is provided as an appliance product and eliminates human error that occurs during delivery, so it seems that Amazon's knowledge as a logistics product is also being utilized. It is provided in 1 appliance of 50TB, and can be used as 100TB and 200TB by using multiple appliances. Reduce line costs for data migration that have been incurred so far.
Next is RDBMS related
Amazon RDS for MariaDB AWS Database Migration Service AWS Schema Conversion tool
The long-awaited addition of MariaDB follows the already existing MySQL, PostgreSQL, Amazon Aurora announced last year, and the long-awaited addition of MariaDB to the open source RDS. At this time, AWS encourages users to move from using on-premises and proprietary products to using cloud and open software. AWS Database Migration Service is provided in service-specific t2 or C4 instances that receive replication from on-premises and bridge to the AWS cloud environment. The AWS Schema Conversion tool is a comprehensive feature that enables the migration of heterogeneous database software when using AWS Database Migration Service. For example, convert Oracle's database schema to MySQL's database schema.
Added functionality to AWS Config that has already been productized. Previously, AWS Config only recorded configuration changes, updates, and notified them. This time, it is possible to set actions according to the rules by setting the policy in advance. For example, if you set a policy that says "EC2 instances must be on a VPC", you can take the action of terminating instances that do not conform to that rule.
Finally, there is a security product AWS Inspector
, a product that provides security assessments for environments built on AWS. Assessments span applications, networks, and operating systems that are leaking from configuration information and known best practices. It also seems that the rules can be reviewed to see if they are PCI DSS compliant. Finally, a detailed report is created for the issues that arise from the diagnosis, with priorities and how to address them.
Other features include Amazon Elasticsearch Service, AWS WAF, and Amazon EC2 Dedicated Hosts.
One thing I felt when I saw this announcement, and I felt that the use of the cloud was no longer a matter of course, and more than that, it was a bitter rejection of the existence of an on-premises environment. AWS is trying to crush all the reasons why users should continue to use their on-premises environment. These include large data migrations, database migrations, or conversions, and security. This time, they were also exhibiting at third-party EXPOs, and the fact that there were so many security products that they put them at the forefront confirms this. On the other hand, we will not stop developing and commercializing services that take advantage of the characteristics of the cloud. We are beginning to develop an environment that does not require user development for comprehensive infrastructure change management such as networks, server OS, and firewalls, as well as big data and IoT. I realized that the giant AWS's dominance as a cloud provider will accelerate further.