- The document discusses AWS X-Ray, a service that allows users to analyze and debug distributed applications.
- It provides visibility into requests as they travel through various services, microservices, functions and resources. This helps identify performance bottlenecks and the root causes of errors.
- The key concepts discussed are segments, subsegments and traces. Segments represent units of work and are connected through parent/child relationships to reconstruct request flows.
The document provides an overview of an AWS webinar on Amazon CodeGuru presented by Yumiko Kanasugi. It includes an introduction and background of the presenter, an agenda for topics to be covered including Amazon CodeGuru Reviewer and Profiler, and notes for participants. The webinar aims to explain how Amazon CodeGuru can help improve code quality and application performance.
The document appears to be a presentation on Amazon EMR and related AWS services. It discusses using EMR for big data and analytics workloads, how to set up EMR clusters on AWS, encryption options for data at rest and in transit, and integration of EMR with other AWS services like S3 and Spark. The presentation contains many bullet points and diagrams but provides little surrounding context or narrative.
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.
Snowball and Snowball Edge devices can be used to transfer large amounts of data into and out of AWS cost effectively. Snowball supports offline data transfers of up to 80TB while Snowball Edge provides up to 100TB of storage along with local compute and storage capabilities. The seminar covered how to set up and use Snowball and Snowball Edge devices including creating jobs, transferring and processing data, and networking options when used with services like S3, EC2, and Lambda.
This document discusses Amazon EC2 and EC2 Auto Scaling. It provides an overview of EC2 and EC2 Auto Scaling, how to use Spot Instances and Spot Fleets with Auto Scaling groups to reduce costs, and how to configure Auto Scaling groups to use a mix of On-Demand and Spot Instances across Availability Zones for fault tolerance. Key points covered include load balancing flexible workloads, optimizing for vCPU usage, and integrating EC2 Auto Scaling with existing EC2 resources.
The document provides an overview of an AWS webinar on Amazon CodeGuru presented by Yumiko Kanasugi. It includes an introduction and background of the presenter, an agenda for topics to be covered including Amazon CodeGuru Reviewer and Profiler, and notes for participants. The webinar aims to explain how Amazon CodeGuru can help improve code quality and application performance.
The document appears to be a presentation on Amazon EMR and related AWS services. It discusses using EMR for big data and analytics workloads, how to set up EMR clusters on AWS, encryption options for data at rest and in transit, and integration of EMR with other AWS services like S3 and Spark. The presentation contains many bullet points and diagrams but provides little surrounding context or narrative.
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.
Snowball and Snowball Edge devices can be used to transfer large amounts of data into and out of AWS cost effectively. Snowball supports offline data transfers of up to 80TB while Snowball Edge provides up to 100TB of storage along with local compute and storage capabilities. The seminar covered how to set up and use Snowball and Snowball Edge devices including creating jobs, transferring and processing data, and networking options when used with services like S3, EC2, and Lambda.
This document discusses Amazon EC2 and EC2 Auto Scaling. It provides an overview of EC2 and EC2 Auto Scaling, how to use Spot Instances and Spot Fleets with Auto Scaling groups to reduce costs, and how to configure Auto Scaling groups to use a mix of On-Demand and Spot Instances across Availability Zones for fault tolerance. Key points covered include load balancing flexible workloads, optimizing for vCPU usage, and integrating EC2 Auto Scaling with existing EC2 resources.
The document discusses Amazon EC2, a web service that provides secure, resizable compute capacity in the cloud. It offers virtual computing environments called instances that can be used to build and host applications. EC2 provides options for different instance types that vary in CPU, memory, storage, and networking capacity depending on the application's requirements. The document explores the various EC2 instance types and how to select the optimal instance for an application.