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ease
features
design
support

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Write a Review

Description

AWS App Mesh is a service mesh designed to enhance application-level networking, enabling seamless communication among your services across diverse computing environments. It provides excellent visibility and ensures high availability for your applications. Typically, modern applications comprise several services, each capable of being developed on various compute platforms, including Amazon EC2, Amazon ECS, Amazon EKS, and AWS Fargate. As the complexity increases with more services being added, identifying error sources and managing traffic rerouting after issues become challenging, along with safely implementing code modifications. In the past, developers had to embed monitoring and control mechanisms within their code, necessitating a redeployment of services with each update. This reliance on manual intervention can lead to longer downtimes and increased potential for human error, but App Mesh alleviates these concerns by streamlining the process.

Description

AWS Thinkbox Sequoia is an independent software solution designed for processing point clouds and creating meshes, functioning seamlessly across Windows, Linux, and macOS platforms. This application supports a wide range of industry-standard formats for point cloud and mesh data, enabling the transformation of point cloud information into a compact, quickly accessible intermediate cache format. Sequoia is equipped with intelligent workflows that maintain high-precision data effectively, allowing users to visualize either the entire point cloud or a selected subset through adaptive view-dependent techniques. With this software, users have the capability to transform, cull, and edit point cloud data, as well as to generate meshes from those point clouds and optimize the resulting models. Additionally, Sequoia facilitates the projection of images onto both points and meshes, creating mesh vertex colors and supporting Ptex or UV-based textures derived from point cloud colors and image projections. The application can export the final meshes to various industry-standard mesh file formats and is integrated with Thinkbox Deadline, allowing for the processing of point cloud data conversion, meshing, and export across network nodes, making it a versatile tool for professionals in the field. Overall, AWS Thinkbox Sequoia stands out as a comprehensive solution for those looking to enhance their workflow in point cloud processing and meshing.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
AWS Amplify
AWS CloudFormation
AWS Config
AWS Cost Explorer
AWS IoT
AWS Storage Gateway
Amazon Cognito
Amazon EC2
Amazon Inspector
Amazon Kinesis
Amazon MQ
Amazon Polly
Amazon QuickSight
Amazon RDS
Amazon Rekognition
Amazon Route 53
Amazon SageMaker
Amazon Translate
Wavel

Integrations

Amazon Web Services (AWS)
AWS Amplify
AWS CloudFormation
AWS Config
AWS Cost Explorer
AWS IoT
AWS Storage Gateway
Amazon Cognito
Amazon EC2
Amazon Inspector
Amazon Kinesis
Amazon MQ
Amazon Polly
Amazon QuickSight
Amazon RDS
Amazon Rekognition
Amazon Route 53
Amazon SageMaker
Amazon Translate
Wavel

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Amazon Web Services

Founded

2006

Country

United States

Website

aws.amazon.com/app-mesh/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/thinkbox-sequoia/

Product Features

Product Features

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Alternatives

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