This document discusses Amazon SageMaker, an AWS service that allows users to build, train, and deploy machine learning models. It provides an overview of SageMaker's key capabilities like the SageMaker SDK, hosted Jupyter notebooks, built-in algorithms, and integration with other AWS services. Examples of using SageMaker with frameworks like Chainer and TensorFlow are also presented.
1. The document discusses how to configure a Network Load Balancer (NLB) with a PrivateLink endpoint to provide private access to services within a VPC.
2. Key steps include creating an Elastic Network Interface (ENI) in each Availability Zone, associating the ENIs to the NLB, and specifying the PrivateLink endpoint DNS name to route traffic privately.
3. PrivateLink allows networking interfaces and resources to be accessed privately without an internet gateway, NAT device, VPN connection or AWS Direct Connect.
AWS Japan YouTube 公式チャンネルでライブ配信された 2022年4月26日の AWS Developer Live Show 「Infrastructure as Code 談議 2022」 の資料となります。 当日の配信はこちら からご確認いただけます。
https://youtu.be/ed35fEbpyIE
The document provides an overview of an AWS webinar on CloudFormation that will cover:
1) An introduction to CloudFormation and how to get started with it.
2) Development, testing, deployment, and operation methods for CloudFormation.
3) The webinar is intended for those new to CloudFormation or already using it to learn about useful CloudFormation features and efficient automation methods in 2020.
This document provides information about an AWS webinar on AWS Step Functions hosted by Yuta Imamura from Amazon Web Services Japan. The agenda includes an overview of Step Functions, state machines, data input and output, describing states, checking execution status, and additional details. Step Functions allows orchestrating distributed applications and microservices using state machines defined in Amazon States Language (ASL). States can pass data and parameters between each other to synchronize processes.
20190521 AWS Black Belt Online Seminar Amazon Simple Email Service (Amazon SES)Amazon Web Services Japan
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This document summarizes an AWS webinar on Amazon Simple Email Service (Amazon SES). It discusses how Amazon SES can be used to send emails using SMTP or APIs. It also covers topics like delivery optimization, reputation management, and monitoring email sending activity. Configuration options like dedicated IPs and suppression lists are presented as ways to improve deliverability.
The document discusses an SSRF attack on Amazon EC2 Instance Metadata Service (IMDS) version 1. It describes how IMDSv1 could be accessed from outside the instance by exploiting vulnerabilities in a web application firewall (WAF). The attack allowed accessing credentials of an IAM role that had permissions to an S3 bucket storing personal information. To mitigate such risks, Amazon introduced IMDSv2, which the document then explains can still be bypassed using techniques like the Gopher protocol. It concludes by emphasizing the need for organizations to strengthen defenses against SSRF attacks.
The document discusses Amazon SageMaker and machine learning capabilities on AWS. It provides an overview of SageMaker's capabilities for labeling data, developing machine learning models using built-in algorithms or frameworks like TensorFlow and MXNet, and deploying models for inference. It also discusses tools for distributed training, model optimization with SageMaker Neo, and reducing inference costs with Elastic Inference.
This document compares Apache Kafka and AWS Kinesis for message streaming. It outlines that Kafka is an open source publish-subscribe messaging system designed as a distributed commit log, while Kinesis provides streaming data services. It also notes some key differences like Kafka typically handling over 8000 messages/second while Kinesis can handle under 100 messages/second.
This document summarizes an AWS webinar on Amazon ECS Deep Dive. It includes slides on key concepts of ECS such as running containers on EC2 instances or Fargate, task definitions, clusters, services, load balancing with ALB, and service discovery. It also covers questions and answers about using AWS Secrets Manager and ECS, load balancing with ALB, task dependencies, and scheduling tasks on Fargate using Step Functions and CloudWatch Events.
20190521 AWS Black Belt Online Seminar Amazon Simple Email Service (Amazon SES)Amazon Web Services Japan
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This document summarizes an AWS webinar on Amazon Simple Email Service (Amazon SES). It discusses how Amazon SES can be used to send emails using SMTP or APIs. It also covers topics like delivery optimization, reputation management, and monitoring email sending activity. Configuration options like dedicated IPs and suppression lists are presented as ways to improve deliverability.
The document discusses an SSRF attack on Amazon EC2 Instance Metadata Service (IMDS) version 1. It describes how IMDSv1 could be accessed from outside the instance by exploiting vulnerabilities in a web application firewall (WAF). The attack allowed accessing credentials of an IAM role that had permissions to an S3 bucket storing personal information. To mitigate such risks, Amazon introduced IMDSv2, which the document then explains can still be bypassed using techniques like the Gopher protocol. It concludes by emphasizing the need for organizations to strengthen defenses against SSRF attacks.
The document discusses Amazon SageMaker and machine learning capabilities on AWS. It provides an overview of SageMaker's capabilities for labeling data, developing machine learning models using built-in algorithms or frameworks like TensorFlow and MXNet, and deploying models for inference. It also discusses tools for distributed training, model optimization with SageMaker Neo, and reducing inference costs with Elastic Inference.
This document compares Apache Kafka and AWS Kinesis for message streaming. It outlines that Kafka is an open source publish-subscribe messaging system designed as a distributed commit log, while Kinesis provides streaming data services. It also notes some key differences like Kafka typically handling over 8000 messages/second while Kinesis can handle under 100 messages/second.
This document summarizes an AWS webinar on Amazon ECS Deep Dive. It includes slides on key concepts of ECS such as running containers on EC2 instances or Fargate, task definitions, clusters, services, load balancing with ALB, and service discovery. It also covers questions and answers about using AWS Secrets Manager and ECS, load balancing with ALB, task dependencies, and scheduling tasks on Fargate using Step Functions and CloudWatch Events.
True to its name, Ananta provides cloud scale load balancing. It addresses limitations of traditional load balancers by supporting 100Gbps per VIP, rapid failover of thousands of VIPs, and tenant isolation to prevent overloads in one tenant from impacting others. Ananta implements load balancing across three tiers - packet-level in routers, connection-level in servers, and stateful NAT - to achieve high scalability, availability, and flexibility.
現地時間3月3日から10日にかけて、世界中のテレコムが注目するテクノロジーカンファレンスである「Mobile World Conference 2025」がバルセロナで開催されました。特に競争の激しいヨーロッパのマーケットでは、各社が生き残りをかけたイノベーションをたくさん生み出しています。5G/6G、エッジクラウド、新しい音声技術など、多くのキーワードが注目されています。