Found 47 results for "transcoders aws"

The search executed in 0.00144355 seconds. That's fast.

Supported Stacks

Supported Stacks Cloud CMS certifies certain supported stacks for on-premise installations. This information is relevant to customers who run Cloud CMS on-premise and manage their own Elastic Search and MongoDB database tiers. This information is not applicable to SaaS customers since Cloud CMS runs that infrastructure for hosted subscribers. The following links provide detailed information on the combinations of operating systems, databases, application servers, bundled components and third-par

Score: 18.632803

Docker

Docker Cloud CMS offers the option to run development and production installations of its software on-premise or within a virtual private cloud. This option is available to subscription customers and can be utilized in both a development and production capacity. The actual installation and management of the various services involved in a full-scale production-ready Cloud CMS deployment is facilitated greatly through the use of Docker. Docker provides a way for all of the various tiers to be enca

Score: 18.405247

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: 13.375501

Features / AWS Polly

AWS Polly QName: f:aws-polly Allows for a node to automatically generate a lifelike speech reading of its default attachment. When completed, this reading will be saved back to the document as another attachment polly.mp3. This feature can be configured to work with a number of language and voice combinations. To learn more about Amazon Polly, see: https://docs.aws.amazon.com/polly/latest/dg/what-is.html For a list of all allowed languages and voices, see: https://docs.aws.amazon.com/polly/lates

Score: 13.200029

Features / AWS Sentiment

AWS Sentiment QName: f:aws-sentiment Empowers a node to automatically determine the sentiment of content that it contains. This takes into account the node's properties and any binary attachments it may contain. The sentiment is the populated onto a property of the node. By default and unless overwritten, this will default to sentiment. This features uses Amazon's Comprehend Service to perform Natural Language processing over your node's content. To learn about Amazon's Sentiment analysis, see:

Score: 13.068499

Features / AWS Dominant Language

AWS Dominant Language QName: f:aws-dominant-language Empowers a node to automatically determine the dominant language of the node's properties and attachments. The dominant language is specified by the language portion of a locale key (such as en for English or es for Spanish). To determine the dominant language, the textual composition of the node is sent to the AWS Comprehend Service for processing. Once the dominant language is determined, the f:locale feature is applied to the node along wit

Score: 12.154484

Features / AWS Transcribe

AWS Transcribe QName: f:aws-transcribe Empowers a node to automatically compute textual transcripts for audio content that it contains (as a binary attachment) or points to (as a property). These transcripts are computed every time the node or its binary attachment are modified. The transcript text can then be applied back to the node, storing it onto a target property. Once the transcript text is written back to the node, the node's index will be updated within Elastic Search, allowing for imme

Score: 12.141161

Features / AWS Entities Detection

AWS Entities Detection QName: f:aws-entities Allows for the text of a node to be automatically analyzed by Amazon Comprehend, and produces a list of entities in the text as well as entity types, corresponding confidence scores, and character offsets. To learn more about Amazon Comprehend's entities functionality, see: https://docs.aws.amazon.com/comprehend/latest/dg/how-entities.html To use this feature, you will need to have an AWS account along with IAM user credential that provide full access

Score: 12.13899

Features / AWS Keyphrases Detection

AWS Keyphrases Detection QName: f:aws-keyphrases Allows for the text of a node to be automatically analyzed by Amazon Comprehend, and produces a list of keyphrases in the text as well as corresponding confidence scores and character offsets. To learn more about Amazon Comprehend's keyphrase functionality, see: https://docs.aws.amazon.com/comprehend/latest/dg/how-key-phrases.html To use this feature, you will need to have an AWS account along with IAM user credential that provide full access righ

Score: 11.609121

Supported Stacks / Cloud CMS 3.2

Cloud CMS 3.2 Here is a list of the individual components that have been through the Cloud CMS Quality Assurance test and validation process. We run this process with each release to certify that these components work as intended with Cloud CMS. Choose a combination of products to build your own Supported Stack. If anything is unclear then please contact our Support team. Database Version 3.2.x 3.2.28+ 3.2.39+ MongoDB 3.4.9 MongoDB 3.6.10 AWS DocumentDB (3.6.0) Elastic Search Version 3.2.x 3.2.3

Score: 9.068859

Supported Stacks / Cloud CMS 3.3

Cloud CMS 3.3 (Note: Cloud CMS 3.3 is a future release that is scheduled for early Q3) Here is a list of the individual components that have been through the Cloud CMS Quality Assurance test and validation process. We run this process with each release to certify that these components work as intended with Cloud CMS. Choose a combination of products to build your own Supported Stack. If anything is unclear then please contact our Support team. Database Version 3.3.x MongoDB 3.4.9 MongoDB 3.6.10

Score: 9.068859

Integrations / Amazon Web Services / Amazon Elastic Search Service

Amazon Elastic Search Service Amazon Elastic Search Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time. Cloud CMS works out-of-the-box with Amazon Elastic Search Service as an alternative to running Elastic Search on your own or using a Elastic SEarch hosted service. Amazon Elastic Search Service provides an easy and convenient way for customers to manage their own Elastic Search installations, data and backup.

Score: 8.517175

Docker / Configuration / API Server

API Server The Cloud CMS API Server is a Java application that launches inside of a Java Servlet Container. The Java application surfaces a REST API as well as backend services and DAOs to support connectivity to Mongo DB, Elastic Search and a slew of Amazon services including S3, SNS, SQS, Route 53, Cloud Front and more. Properties File Cloud CMS is primarily configured via a properties file that is auto-detected and loaded when the underlying Spring Framework starts up. This properties file is

Score: 7.380725

Integrations / Amazon Web Services / Amazon DocumentDB

Amazon DocumentDB Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Cloud CMS works out-of-the-box with Amazon DocumentDB as an alternative to running MongoDB on your own or using a MongoDB hosted service. Amazon DocumentDB provides an easy and convenient way for customers to manage their own MongoDB installations, data and backup. To learn more, check out API Server.

Score: 5.3709745

Integrations / Amazon Web Services / Amazon Elastic Transcoder

Amazon Elastic Transcoder Amazon Elastic Transcoder is media transcoding in the cloud. It is designed to be a highly scalable, easy to use and a cost effective way for developers and businesses to convert (or “transcode”) media files from their source format into versions that will playback on devices like smartphones, tablets and PCs. In practice, transcoding describes an expensive operation that runs externally (such as converting video from one format to another). Cloud CMS features out-of-th

Score: 5.106628

AWS loadbalancer healthchecks

For AWS LB healthchecks, we recommend the following path off the API: /healthcheck This route hands back a 200 if the API server is healthy. It determines whether it is healthy by checking a few statistics such as the amount of free memory, the amount of free disk space, network connectivity, file handle usage, CPU utilization and more. If it returns a non-200, then that serves as a signal that the server is in some sort of degraded state and should be rolled over (which elastic scaling groups w

Score: 4.697587

Features / Auto Translate

Auto 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, you 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 automatica

Score: 4.690764

Features

Features Features are aspect-oriented, cross-cutting concerns that can be applied to nodes. Once applied, they may introduce new behaviors and metadata to your content objects. You can use features to describe cross-cutting or aspect-oriented concerns that can be plugged onto your content nodes at any time. Features may participate in the inheritance tree of content types or they may be injected anywhere and at any point. There are a number of out-of-the-box features provided by Cloud CMS, inclu

Score: 4.6677895

Cloud CMS Performance Measurement

Performance issues may be outside of Cloud CMS such as being related to firewalls or corporate proxies. One strategy for determining this is to run an ab test to gather timings from your computer to https://api.cloudcms.com or to the user interface server. This gives you a good approximation of where penalties are being paid and you'd expect to see ~70-100ms latency which we consider nominal. Another thing to try is to run a connection test from the command line on the box that you're browsing f

Score: 4.634018

Integrations / Amazon Web Services / Amazon Comprehend

Amazon Comprehend Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. Amazon Comprehend processes any text file in UTF-8 format. It develops insights by recognizing the entities, key phrases, language, sentiments, and other common elements in a document. Use Amazon Comprehend to create new products based on understanding the structure of documents. For example, using Amazon Comprehend you can search social networking feeds for mentions of

Score: 4.5490246

Node Lifecycle Events

First, you configure your tenant with the AWS credentials of an IAM user and a SNS topic ARN that you wish to publish notification events to. This can be on your own AWS account so that you can work with these notifications any way you'd like. The notifications are for a variety of node lifecycle events. The primary one is "node_invalidation" which happens whenever a node's state changes. It's an indication that anyone caching anything downstream might want to reconsider their cache state. In te

Score: 4.252349

Documentation - Getting Started - Cloud CMS

Documentation - Getting Started - Cloud CMS System Status Blog Support System Status Buy Now Features Quick Start Releases Pricing Documentation Developers Talk to Us Try Cloud CMS Features Quick Start Releases Pricing Docs Dev Start a Free Trial Features Quick Start Releases Pricing Documentation Developers Ask a Question Start a Free Trial Getting Started Content Modeling Role-Based Editorial UI Instant Preview Platform Multiple Projects Publishing Web Forms Workflow Workspaces Access Control

Score: 4.007944

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: 3.8575752

Integrations / Amazon Web Services / Amazon Polly

Amazon Polly Amazon Polly is a cloud service that converts text into lifelike speech. Amazon Polly supports multiple languages and includes a variety of lifelike voices, so you can build speech-enabled applications that work in multiple locations and use the ideal voice for your customers. Cloud CMS features out-of-the-box integration with Amazon Polly to provide automatic voice generation from text stored inside of your content's attachment. You might, for example, attach a PDF to a content ins

Score: 3.81085

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: 3.7616937