Found 150 results for "integrations amazon sns"
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Gitana / 4.0 / Data Engine / Services / Text Analysis / Text Analysis Providers / AWS ComprehendAWS Comprehend Handles the Text Analysis processing of elements in a textual payload using the Amazon Web Service Comprehend Service. The AWS Comprehend Service is described by: accessKey secretKey region Where the accessKey and secretKey are used to identify an IAM principal who has sufficient authority to invoke AWS Comprehend 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 buck
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How does Cloud CMS work with a CDNThere are a few places where this either occurs automatically if you're using our hosted service or can occur optionally if you're either running within Docker containers on your own or integrating to custom CDN endpoints. First, the API itself can be fronted by a CDN that supports fallback lookup to an origin server. In this case, we recommend Amazon CloudFront with short-lived TTLs on cache headers. More specifically, you can use Amazon's API Gateway to get caching coverage across multiple geo
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Gitana / 3.2 / Guide / Guide / 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
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Gitana / 3.2 / Guide / Guide / 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
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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
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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
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More Ways to Run Cloud CMS On-PremiseWe just released Cloud CMS version 3.1.315 which includes more sample configurations to help customers and prospects get started with on-premise Docker deployments. Our Docker distribution includes several “kits” that contain pre-built Docker Compose configurations that help customers to get up and running right away. These configurations can either be used as is or they may serve as a reference for building out new configurations that meet a customer’s exact needs. Cloud CMS offers Docker as an
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Gitana / 3.2 / Guide / Guide / Integrations / DockerDocker Cloud CMS ships its on-premise offering using Docker. Docker provides a way to package up the architectural tiers of Cloud CMS into services that can easily be deployed in all kinds of interesting configurations. It greatly reduced the heavy Dev/Ops and IT cycle involved with running a cloud infrastructure service. With Docker, our customers can easily and efficiently run Cloud CMS on-premise, in their own data centers and even on their own laptops. Cloud CMS services running in Docker ar
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Gitana / 4.0 / Data Engine / Integrations / DockerDocker Cloud CMS ships its on-premise offering using Docker. Docker provides a way to package up the architectural tiers of Cloud CMS into services that can easily be deployed in all kinds of interesting configurations. It greatly reduced the heavy Dev/Ops and IT cycle involved with running a cloud infrastructure service. With Docker, our customers can easily and efficiently run Cloud CMS on-premise, in their own data centers and even on their own laptops. Cloud CMS services running in Docker ar
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Cloud CMS Docker imagesCloud CMS is available as a set of Docker images so that you can run it on your own. This includes running it on-premise within your own data center as well as running it on Amazon AWS, Rackspace, IBM Bluemix or a variety of other Docker Container hosting platforms. Cloud CMS distributes its Docker images via Docker Hub. These are private images that are not generally available. Rather, Cloud CMS subscribers are granted permission to pull down the images once they've signed up for a Cloud CMS Do
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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
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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"
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How we use Docker at Cloud CMSAt Cloud CMS, we use Docker to provision our cloud infrastructure servers on top of Amazon Web Services. Our stack consists of five different clusters: Cloud CMS API Cloud CMS UI Cloud CMS App Server for Dynamic Hosting Elastic Search MongoDB With the exception of MongoDB, all of these clusters are allocated using elastic load balancing and are architected in such a way that we can spin up new servers and tear down old ones with elastic demand. That is to say, they are fully elastic in design. T
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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
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Gitana / 3.2 / Guide / Guide / Getting Started / PlatformPlatform Cloud CMS is a Platform that serves content to your web sites and mobile applications. You can use it for a single project or for many different projects. Cloud CMS is provides a singular content backbone for your business. You might choose to use Cloud CMS for a single web site. Or you may use it for many different web sites. Cloud CMS is multi-tenant in that it allows you to support the content needs of many different projects and many different customers all from a single place. When
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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
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Gitana / 4.0 / Getting Started / Using your Data Platform / OverviewUsing your Data Platform Cloud CMS is a Platform that serves content to your web sites and mobile applications. You can use it for a single project or for many different projects. Cloud CMS is provides a singular content backbone for your business. You might choose to use Cloud CMS for a single web site. Or you may use it for many different web sites. Cloud CMS is multi-tenant in that it allows you to support the content needs of many different projects and many different customers all from a si
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Gitana / 4.0 / Self Managed / Configuration / UI ServerUI Server The Cloud CMS UI Server is a Node.js application that provides the editorial experience for Cloud CMS. It communicates with the Cloud CMS API via HTTP/HTTPS API calls and is built to be very extensible. Developers and system integrators can extend the Cloud CMS UI through the deployment of UI modules. Environment File (.env) The Cloud CMS UI is primarily configured via a series of environment variables. These environment variables are detected by the Node.js application at startup and
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Gitana / 4.0 / Data Engine / Publishing / OverviewPublishing 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
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Announcing Gitana 4.0 - GitanaAnnouncing Gitana 4.0 - Gitana Status Releases Registry Blog Cloud CMS Platform Content Management Create, Approve and Publish quality content to production on-time. Easy editorial and workflow tools let your best work reach your customers. Enterprise Data Engine Manage, collaborate, search and distribute your highly-structured data across branches, versions and workflow-driven lifecycle. Automate Automate your content creation and approval flows while taking advantage of AI services to enhance
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Gitana / 3.2 / Guide / Guide / Deployment / Deployment Handlers / File System Deployment HandlerFile System Deployment Handler Handles the deployment of one or more Deployment Packages to a file system. A file system is described by a local path on disk, such as: /www/files /data /Users/joesmith/files These paths, in turn, my describe mounts that are ephemeral or non-ephemeral (such as Amazon EBS mounted drives or shared network storage). The contents of the Deployment Packages will be deployed sequentially to the target location. If any of the content within the Deployment Packages fails
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Gitana / 4.0 / Data Engine / Deployment / Deployment Handlers / File System Deployment HandlerFile System Deployment Handler Handles the deployment of one or more Deployment Packages to a file system. A file system is described by a local path on disk, such as: /www/files /data /Users/joesmith/files These paths, in turn, my describe mounts that are ephemeral or non-ephemeral (such as Amazon EBS mounted drives or shared network storage). The contents of the Deployment Packages will be deployed sequentially to the target location. If any of the content within the Deployment Packages fails
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Gitana / 3.2 / Guide / Guide / Features / Auto TranslateAuto Translate QName: f:auto-translate This feature makes it so that any content that is saved is automatically translated into any desired target locales and stored as translations within the Cloud CMS I18N (Internationalization) framework. With this feature, your editorial users could, for example, make a change to a node and save it. The change could then be translated into Chinese, Spanish and German so that content can be retrieved from Cloud CMS in those locales. This all happens automatic
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Gitana / 4.0 / Data Engine / Aspects / Auto TranslateAuto Translate QName: f:auto-translate This feature makes it so that any content that is saved is automatically translated into any desired target locales and stored as translations within the Cloud CMS I18N (Internationalization) framework. With this feature, your editorial users could, for example, make a change to a node and save it. The change could then be translated into Chinese, Spanish and German so that content can be retrieved from Cloud CMS in those locales. This all happens automatic
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Gitana / 3.2 / Guide / Guide / 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 Manage Platform Go to Deployment Targets under Deployment Left Navigation Menu Click on Create a Deployment Target Title : "Live Web Site" Deployment Target Type : "Br
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