20190402 AWS Black Belt Online Seminar Let's Dive Deep into AWS Lambda Part1 ...Amazon Web Services Japan
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This document contains a presentation on AWS Lambda by Keisuke Nishitani, a Solutions Architect at Amazon Web Services Japan. The presentation introduces AWS Lambda as a serverless computing platform that allows users to run code without provisioning or managing servers. It discusses how Lambda allows developers to build applications that scale automatically in response to changes in usage. The presentation also provides an overview of Lambda's programming languages, triggers, execution environment, pricing model, and integration with other AWS services.
20191002 AWS Black Belt Online Seminar Amazon EC2 Auto Scaling and AWS Auto S...Amazon Web Services Japan
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This document discusses Amazon EC2 Auto Scaling and AWS Auto Scaling. It provides an overview of EC2 Auto Scaling for scaling EC2 instances, Application Auto Scaling for services like ECS, and AWS Auto Scaling which unifies scaling across different AWS resources. It also covers various scaling options like target tracking, step scaling policies, and scheduled scaling. Best practices for setting up auto scaling groups and examples of using different scaling configurations are presented.
The webinar discusses the integration of Amazon SageMaker and EMR for preparing data and developing machine learning models. It covers the functionalities of SageMaker such as model training, deployment, and the machine learning cycle including data collection and integration. Additionally, it includes demonstrations for setting up the environment and preparing data using SageMaker and EMR.
20190402 AWS Black Belt Online Seminar Let's Dive Deep into AWS Lambda Part1 ...Amazon Web Services Japan
?
This document contains a presentation on AWS Lambda by Keisuke Nishitani, a Solutions Architect at Amazon Web Services Japan. The presentation introduces AWS Lambda as a serverless computing platform that allows users to run code without provisioning or managing servers. It discusses how Lambda allows developers to build applications that scale automatically in response to changes in usage. The presentation also provides an overview of Lambda's programming languages, triggers, execution environment, pricing model, and integration with other AWS services.
20191002 AWS Black Belt Online Seminar Amazon EC2 Auto Scaling and AWS Auto S...Amazon Web Services Japan
?
This document discusses Amazon EC2 Auto Scaling and AWS Auto Scaling. It provides an overview of EC2 Auto Scaling for scaling EC2 instances, Application Auto Scaling for services like ECS, and AWS Auto Scaling which unifies scaling across different AWS resources. It also covers various scaling options like target tracking, step scaling policies, and scheduled scaling. Best practices for setting up auto scaling groups and examples of using different scaling configurations are presented.
The webinar discusses the integration of Amazon SageMaker and EMR for preparing data and developing machine learning models. It covers the functionalities of SageMaker such as model training, deployment, and the machine learning cycle including data collection and integration. Additionally, it includes demonstrations for setting up the environment and preparing data using SageMaker and EMR.
The document is a presentation from the AWS Data & AI Roadshow 2024, focusing on Amazon DynamoDB design challenges. It covers various design puzzlers, including issues with request consumption, data sampling, and the implications of partition key choices. Additionally, it discusses concepts like single vs multiple table designs, on-demand mode limitations, and recovery strategies using incremental exports.
[D3T1S04] Aurora PostgreSQL performance monitoring and troubleshooting by use...Amazon Web Services Korea
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The document provides a detailed overview of performance monitoring and troubleshooting for PostgreSQL and Amazon Aurora PostgreSQL. It covers the architecture, common performance issues, monitoring tools and metrics, as well as practical use cases for addressing memory consumption and idle connections. Additionally, it outlines Amazon CloudWatch and Performance Insights functionalities to help users optimize their database performance.
The document provides an overview of the AWS Data & AI Roadshow 2024, focusing on the features and architecture of Amazon Aurora's limitless database, including its sharding capabilities for scalability and enhanced performance. It discusses the creation and management of sharded tables, the role of distributed transaction routers, and transaction support while maintaining PostgreSQL semantics. Additionally, the document emphasizes the operational efficiency of queries over multiple shards and the handling of distributed transactions.
The document outlines the AWS Data & AI Roadshow 2024 presentation on Amazon DocumentDB, a fully managed and scalable document database service that supports MongoDB workloads. It covers the architecture, replication, hands-on sessions for implementing DocumentDB, and application modeling strategies including CRUD operations and performance requirements. The workshop also emphasizes best practices for database design, including how to structure data in collections and use design patterns effectively.
Amazon DocumentDB - Architecture ? Best Practice (Level 200) - ???: ???, Sr. ...Amazon Web Services Korea
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The document outlines Amazon DocumentDB, a modern database solution compatible with MongoDB, designed for high performance and scalability across various applications like online gaming and e-commerce. Key features include automated maintenance, robust architecture, and cost optimization strategies, enabling efficient management of large volumes of data with minimal operational overhead. The architecture is cloud-native, emphasizes separation of compute and storage, and supports advanced data access requirements with a focus on improving query performance and reducing latency.
Internal Architecture of Amazon Aurora (Level 400) - ???: ???, APAC RDS Speci...Amazon Web Services Korea
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The document outlines key features of Amazon Aurora, emphasizing its high performance, availability, and security, offering MySQL and PostgreSQL compatibility at significantly reduced costs. It details capabilities such as automated backups, fault tolerance, dynamic scaling, clustering for failover, and efficiency enhancements like parallel query processing. Additionally, the presentation covers management features and advancements in Aurora MySQL, including performance insights and logical replication caching.
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TCO ??? ?? ?? ????.
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Traditional Data Center
& Co-Location
AWS
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Hardware ¨C Server, Rack
Chassis PDUs, ToR
Switches (+Maintenance)
Software - OS,
Virtualization Licenses
(+Maintenance)
Facilities Cost
Hardware ¨C Storage Disks,
SAN/FC Switches
Storage Admin costs
Network Hardware ¨C LAN
Switches, Load Balancer
Bandwidth costs
Network Admin costs
Server Admin Virtualization Admin4
Diagram doesn¡¯t include every cost item. For example, software costs can include database, management, and middle-tier
software costs. Facilities cost can include costs associated with upgrades, maintenance, building security, taxes, etc. IT labor
costs can include security admin and application admin costs.
Space Power Cooling
Facilities Cost
Space Power Cooling
Facilities Cost
Space Power Cooling
Server Costs
Storage Costs
Network Costs
IT Labor Costs
1
2
3
illustrative
14. ?????? ?? 5?? ??
Right-sizing your
instances
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Pick the right
pricing model
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Increase elasticity
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Measuring &
monitoring
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Match usage to
storage class
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