Found 94 results for "binaries s3"
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Gitana / 3.2 / Guide / Guide / Transcription / Transcription Providers / AWS TranscribeAWS 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
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Gitana / 4.0 / Data Engine / Services / Narration / Narration Providers / AWS PollyAWS 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
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Gitana / 4.0 / Data Engine / Services / Optical Character Recognition / OCR Providers / AWS TextractAWS 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
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Gitana / 4.0 / Data Engine / Services / Recognition / Recognition Providers / AWS RekognitionAWS 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
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Gitana / 4.0 / Data Engine / Services / Transcription / Transcription Providers / AWS TranscribeAWS 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
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Bulk uploading of binariesCloud 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
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Recommended environmentThis 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
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Gitana / 3.2 / Guide / Guide / Features / AWS TranscodeAWS 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
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Gitana / 4.0 / Data Engine / Aspects / AWS TranscodeAWS 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
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Gitana / 3.2 / Guide / Guide / API / Data Types / PlatformPlatform 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
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Gitana / 4.0 / Data Engine / API / Data Types / PlatformPlatform 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
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Gitana / 3.2 / Guide / Guide / Application Server / Services / OverviewOverview 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
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Gitana / 4.0 / Developers / Application Server / Services / OverviewOverview 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
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Gitana / 3.2 / Guide / Guide / AuditingAuditing 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
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Gitana / 4.0 / Data Engine / Platform / AuditingAuditing 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
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Gitana / 3.2 / Guide / Guide / Deployment / Deployment HandlersDeployment 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
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Gitana / 4.0 / Data Engine / Deployment / Deployment HandlersDeployment 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
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Gitana / 3.2 / Guide / Guide / Docker / Container Services / Amazon ECSAmazon 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
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Gitana / 3.2 / Guide / Guide / Integrations / Amazon Web Services / Amazon TranscribeAmazon 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
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Gitana / 4.0 / Data Engine / Integrations / Amazon Web Services / Amazon TranscribeAmazon 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
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Gitana / 3.2 / Guide / Guide / PublishingPublishing 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
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Gitana / 4.0 / Data Engine / Publishing / Example Publishing SetupExample 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
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Gitana / 3.2 / Guide / Guide / ProjectsProjects 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
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Gitana / 4.0 / Data Engine / Platform / ProjectsProjects 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
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Gitana / 3.2 / Guide / Guide / API / Data Types / ApplicationApplication 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
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