Found 94 results for "binaries s3"

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Gitana / 3.2 / Guide / Guide / Transcription / Transcription Providers / AWS Transcribe

AWS Transcribe Handles the generation of a Transcription text file for audio content using the AWS Transcribe Service. The AWS Transcribe Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Transcribe within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the given S3 bucket (identified by bucketNa

Score: 2.5875704

Gitana / 4.0 / Data Engine / Services / Narration / Narration Providers / AWS Polly

AWS Polly Handles the generation of a Narration audio file for textual content using the AWS Polly Narration Service. The AWS Polly Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Polly within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the given S3 bucket (identified by bucketName) within

Score: 2.5875704

Gitana / 4.0 / Data Engine / Services / Optical Character Recognition / OCR Providers / AWS Textract

AWS Textract Handles the Optical Character Recognition detection and analysis of characters in a binary payload using the Amazon Web Services Textract Service. The AWS Textract Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Textract within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the gi

Score: 2.5875704

Gitana / 4.0 / Data Engine / Services / Recognition / Recognition Providers / AWS Rekognition

AWS Rekognition Handles the Image Recognition detection and analysis of elements in a binary payload using the Amazon Web Service Rekognition Service. The AWS Rekognition Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Rekognition within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the given

Score: 2.5875704

Gitana / 4.0 / Data Engine / Services / Transcription / Transcription Providers / AWS Transcribe

AWS Transcribe Handles the generation of a Transcription text file for audio content using the AWS Transcribe Service. The AWS Transcribe Service is described by: accessKey secretKey region bucketName Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Transcribe within the given region. In addition, the IAM principal needs sufficient authorities to read, write and delete an S3 object from the given S3 bucket (identified by bucketNa

Score: 2.5875704

Bulk uploading of binaries

Cloud CMS supports two options here: Multipart HTTP POST. You can post multiple files for upload that all goes as part of the same HTTP request. The general "upload files" option in our UI actually does this (you can drag/drop multiple files into it and they'll all go at the same time) or you can call this kind of this manually. It's standard HTTP multipart and so this works natively for anything you upload. Import an archive. We provide a command-line tool that you can use to take documents and

Score: 2.5864992

Recommended environment

This is a big subject and, as you know, there are many ways to set things up to be robust. That said, some practices are better than others. I can relate at least what we do and what we've seen customers do. First, I'd recommend thinking of Cloud CMS as black box application that runs on top of MongoDB, Elastic Search (both of which can be thought of as databases) and a binary storage provider. Cloud CMS is a stateless application whose setup is actually quite simple. It doesn't maintain any sta

Score: 2.5035515

Gitana / 3.2 / Guide / Guide / Features / AWS Transcode

AWS Transcode QName: f:aws-transcode Applying this feature allows a piece of content's default attachment to be automatically transcoded from one filetype to one or more other filetypes. This is done to the specification of custom or AWS predefined presets. Once a transcoding is finished, an array of S3 paths for the transcoded files will be saved back to the content. To use this feature, you will need to have an AWS account with S3 and Amazon Elastic Transcoder setup. You will also need to conf

Score: 2.500163

Gitana / 4.0 / Data Engine / Aspects / AWS Transcode

AWS Transcode QName: f:aws-transcode Applying this feature allows a piece of content's default attachment to be automatically transcoded from one filetype to one or more other filetypes. This is done to the specification of custom or AWS predefined presets. Once a transcoding is finished, an array of S3 paths for the transcoded files will be saved back to the content. To use this feature, you will need to have an AWS account with S3 and Amazon Elastic Transcoder setup. You will also need to conf

Score: 2.500163

Gitana / 3.2 / Guide / Guide / API / Data Types / Platform

Platform Configuration and custom properties. You can write your own properties onto this configuration document if you wish. You might use those properties to query and retrieve the directory at a later time. Some system properties are read-only and others are writable. You can adjust the writable properties to modify the behavior and characteristics of the directory. The following table presents you the system properties. Data Store Properties Data Store Type {{#dataTypeArticle datastoreTypeId

Score: 2.4028487

Gitana / 4.0 / Data Engine / API / Data Types / Platform

Platform Configuration and custom properties. You can write your own properties onto this configuration document if you wish. You might use those properties to query and retrieve the directory at a later time. Some system properties are read-only and others are writable. You can adjust the writable properties to modify the behavior and characteristics of the directory. The following table presents you the system properties. Data Store Properties Data Store Type {{#dataTypeArticle datastoreTypeId

Score: 2.4028487

Gitana / 3.2 / Guide / Guide / Application Server / Services / Overview

Overview For more information on configuration of the Cloud CMS application server, please visit Cloud CMS App Server on GitHub. { "name": "Cloud CMS Application Server", "setup": "single", // single, cluster, sticky-cluster "socketFunctions": [], "routeFunctions": [], "configureFunctions": {}, "beforeFunctions": [], "afterFunctions": [], "viewEngine": "handlebars", "storeEngines": { "app": { "type": "fs", "config": {

Score: 2.3996177

Gitana / 4.0 / Developers / Application Server / Services / Overview

Overview For more information on configuration of the Cloud CMS application server, please visit Cloud CMS App Server on GitHub. { "name": "Cloud CMS Application Server", "setup": "single", // single, cluster, sticky-cluster "socketFunctions": [], "routeFunctions": [], "configureFunctions": {}, "beforeFunctions": [], "afterFunctions": [], "viewEngine": "handlebars", "storeEngines": { "app": { "type": "fs", "config": {

Score: 2.3996177

Gitana / 3.2 / Guide / Guide / Auditing

Auditing Cloud CMS provides a built-in audit system that automatically logs the activity between users and content through API service methods. The audit system produces an audit trail consisting of audit records that document the access of every user, content object and service method. Audit records are created automatically if they are enabled for your tenant and for the repository against which the operation occurs. Auditing is only available for on-premise, Docker customers. How to Enable Au

Score: 2.3437583

Gitana / 4.0 / Data Engine / Platform / Auditing

Auditing Cloud CMS provides a built-in audit system that automatically logs the activity between users and content through API service methods. The audit system produces an audit trail consisting of audit records that document the access of every user, content object and service method. Audit records are created automatically if they are enabled for your tenant and for the repository against which the operation occurs. Auditing is only available for on-premise, Docker customers. How to Enable Au

Score: 2.3437583

Gitana / 3.2 / Guide / Guide / Deployment / Deployment Handlers

Deployment Handlers A Deployment Handler provides the deployment implementation for a Deployment Target. When Deployment Packages are routed to a Deployment Target, the Deployment Target's "handler" is instantiated to handle the actual connectivity, copy and delivery of the Deployment Package's content. The following Deployment Handlers are available: Azure Blob Storage Deployment Handler Branch Deployment Handler File System Deployment Handler FTP Deployment Handler HTTP Deployment Handler IBM

Score: 2.2209814

Gitana / 4.0 / Data Engine / Deployment / Deployment Handlers

Deployment Handlers A Deployment Handler provides the deployment implementation for a Deployment Target. When Deployment Packages are routed to a Deployment Target, the Deployment Target's "handler" is instantiated to handle the actual connectivity, copy and delivery of the Deployment Package's content. The following Deployment Handlers are available: Azure Blob Storage Deployment Handler Branch Deployment Handler File System Deployment Handler FTP Deployment Handler HTTP Deployment Handler IBM

Score: 2.2209814

Gitana / 3.2 / Guide / Guide / Docker / Container Services / Amazon ECS

Amazon ECS Amazon Elastic Container Service (ECS) is a fully managed container orchestration service that helps you to more efficiently deploy, manage, and scale containerized applications. It deeply integrates with the AWS environment to provide an easy-to-use solution for running container workloads within Amazon Web Services. For more information on Amazon ECS, please visit https://aws.amazon.com/ecs. Gitana SDK The code and configuration provided here references the samples provided in the G

Score: 2.1996655

Gitana / 3.2 / Guide / Guide / Integrations / Amazon Web Services / Amazon Transcribe

Amazon Transcribe Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using the Amazon Transcribe API, you can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech. Cloud CMS provides an out-of-the-box integration with Amazon Transcribe. Using the f:aws-transcribe feature, you submit either a binary payload or a URL to a binary payload. Thi

Score: 2.0175257

Gitana / 4.0 / Data Engine / Integrations / Amazon Web Services / Amazon Transcribe

Amazon Transcribe Amazon Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using the Amazon Transcribe API, you can analyze audio files stored in Amazon S3 and have the service return a text file of the transcribed speech. Cloud CMS provides an out-of-the-box integration with Amazon Transcribe. Using the f:aws-transcribe feature, you submit either a binary payload or a URL to a binary payload. Thi

Score: 2.0175257

Gitana / 3.2 / Guide / Guide / Publishing

Publishing Publishing brings together many parts of Cloud CMS to enable you to manage the lifecycle of your Content. Our Publishing is very configurable to meet your diverse needs. To help get you started we have a simple example showing a Publish and Unpublish mechanism between an Authoring Project and a Live project. When Publishing is enabled in a Project you get: Workflow workflow are meant as a starting point and may meet your needs. If you have more complex requirements you can also define

Score: 1.9772743

Gitana / 4.0 / Data Engine / Publishing / Example Publishing Setup

Example Publishing Setup The following are the steps to config a typical Publishing setup (Publish and Unpublish): Step 1: Create Projects Create two projects Create an "Authoring" project Create a "Live" Project Step 2 : Create a Deployment Target Deployment Target is the endpoint where the package will be deployed or sent. Go to Platform Go to Deployments Targets under Deployments Left Navigation Menu Click on Create a Deployment Target Title : "Live Web Site" Deployment Target Type : "Branch"

Score: 1.9508823

Gitana / 3.2 / Guide / Guide / Projects

Projects In Cloud CMS, a Project is an isolated workspace in which your team can collaborate on the production and publication of content. You can create as many Projects as you wish. Within each Project, you can: Design your content model (types, features and associations) Build out editorial forms for easy-content entry Wire up "automagic" business logic consisting of Rules, Actions and Conditions to automatically do things like call out to web hooks, send emails or sanitize your data as edito

Score: 1.9014052

Gitana / 4.0 / Data Engine / Platform / Projects

Projects In Cloud CMS, a Project is an isolated workspace in which your team can collaborate on the production and publication of content. You can create as many Projects as you wish. Within each Project, you can: Design your content model (types, features and associations) Build out editorial forms for easy-content entry Wire up "automagic" business logic consisting of Rules, Actions and Conditions to automatically do things like call out to web hooks, send emails or sanitize your data as edito

Score: 1.9014052

Gitana / 3.2 / Guide / Guide / API / Data Types / Application

Application Configuration and custom properties. You can write your own properties onto this configuration document if you wish. You might use those properties to query and retrieve the directory at a later time. Some system properties are read-only and others are writable. You can adjust the writable properties to modify the behavior and characteristics of the directory. The following table presents you the system properties. Data Store Properties Data Store Type {{#dataTypeArticle datastoreTyp

Score: 1.8358164