Book (Practical) Information science More Cost-Saving / Tōru Ikeyama / Yasutaka Kano

Product description ※Please note that product information is not in full comprehensive meaning because of the machine translation.

Information Science
[Content introduction]
Amazon Web Services (AWS) offers a virtual server service for building servers, as well as services such as artificial intelligence (AI) and data analytics required for digital transformation (DX).
Many companies have already built systems using AWS services.
Many of the cloud services provided by AWS are based on pay-as-you-go pricing.
You can reduce unnecessary costs by using only as much as you need because you can change resources according to processing power.
However, if you don't pay attention to costs, you may end up spending too much and exceeding your budget because it is convenient.
We hear from people in the IT field that they have spent more than expected at the time of development and that they have insufficient budget for operation and maintenance.
Many of the payments for cloud services are in US dollars.
Also, the increase in costs due to the impact of foreign exchange can not be ignored.
In order to solve cost issues, we introduce concrete measures to optimize AWS costs and reduce them by using techniques.
Learn from best practices for cost optimization
1-1 Basics of cost optimization from best practices
1-2 Use AWS tools for not pre-estimated costs
1-3 Use EC2 tools for not preTime Constraints to Watch When Introducing Microservices
2-4 Find Out If You Really Need It Athena Cuts Costs
2-5 Redshift Is Critical for Analytics
2-6 Aurora Reduces Operational Costs Simple but Effective Outage Schedule
2-7 DynamoDB Reduces Costs
2-8 DynamoDB Costs Tend to Be Expensive File Size
2-10 Search Service Kendra Saves Costs Index
2-10 Effective for Batch Job Operations DynamoDB Saves Costs With Step Functions
2-11 Search Service Kendra Saves Costs Index
2-10 Effective for Batch Job Operations
2-12 Accounts Are Frequently Organized QuickSight Operational Considerations
3-1 Select AWS for Better Security of Data
2-12 Accounts Are Frequently Organized QuickSight Operational Considerations
3-2 Specific "Define Project" Clean and Clean Data
3-3 User Sector is Forward-Looking Ahead, Systems Sector is Insecure
3-4 First Challenge to DWH Construction agile software development Attracting the Attention of the Life Insurance Industry
3-5 Weak Yen Makes Cost an Issue Savior Lambda