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In the context of cloud computing, the main difference between workflow automation and orchestration is that workflows are processed and completed as processes within a single domain for automation purposes, whereas orchestration includes a workflow and provides a directed action towards larger goals and objectives. [2]
Cloudify is an open source, multi-cloud orchestration platform featuring unique technology that packages infrastructure, networking, and existing automation tools into certified blueprints. It is an open-source cloud orchestration framework. which enables you to model applications and services and automate their entire life cycle.
According to the National Institute of Standards and Technology, Information Technology Laboratory, “Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider ...
Conductor is a free and open-source microservice orchestration software platform originally developed by Netflix. [1] [2]Conductor was developed by Netflix to solve the problems of orchestrating microservices and business processes at scale in a cloud native environment. [3]
AWS Elastic Beanstalk is an orchestration service offered by Amazon Web Services for deploying applications which orchestrates various AWS services, including EC2, S3, Simple Notification Service (SNS), CloudWatch, autoscaling, and Elastic Load Balancers. [2]
In the service orchestration language BPEL, for example, the specification of the service orchestration (e.g. the BPEL process file) is a workflow that can be deployed on the service infrastructure (for example a BPEL execution engine like Apache ODE). The deployment of the service orchestration specification transforms a workflow into a ...
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