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What is Conductor?

Conductor is a cloud-based workflow orchestration engine tailored for Netflix, aimed at optimizing the management of process flows that depend on microservices. It features a robust distributed server architecture that effectively tracks workflow state information. Users have the ability to design business processes in which individual tasks can be executed by the same microservice or across different ones. The platform employs a Directed Acyclic Graph (DAG) for defining workflows, which helps separate workflow definitions from the actual implementations of services. Additionally, it enhances visibility and traceability across various process flows. With a user-friendly interface, it allows easy connection of the workers tasked with executing the workflows. Notably, the system supports language-agnostic workers, enabling each microservice to be developed in the most appropriate programming language. Conductor empowers users with full operational control, permitting them to pause, resume, restart, retry, or terminate workflows based on their needs. By fostering the reuse of existing microservices, it greatly simplifies and accelerates the onboarding process for developers, ultimately leading to more efficient development cycles. This comprehensive approach not only streamlines workflow management but also enhances the overall flexibility and scalability of microservices within the organization.

What is AWS X-Ray?

AWS X-Ray is a powerful tool designed to assist developers in troubleshooting and analyzing distributed applications within a production setting, especially those built with microservices architecture. By leveraging X-Ray, developers can obtain detailed insights into the performance metrics of their applications and the services they rely on, which allows for the identification and resolution of the root causes of errors and performance bottlenecks. This tool provides a holistic view of requests as they traverse the application, along with a graphical depiction of the various elements that make up the application. X-Ray is adaptable enough to be utilized for both developmental and production scenarios, accommodating setups that range from simple three-tier architectures to complex microservices environments comprising numerous services. Its capability to visualize performance complications not only enhances troubleshooting efforts but also proves essential for ensuring overall application efficiency and reliability. In addition, the insights provided by X-Ray can aid teams in optimizing their application architectures, ultimately leading to improved user experiences.

Media

Media

Integrations Supported

Integrations Supported

AWS App Mesh
AWS Hybrid Cloud
AWS Lambda
Amazon EC2
Amazon Elastic Container Service (Amazon ECS)
Amazon Managed Grafana
Cloud Assessor
KrakenD
New Relic
Tracetest

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Netflix

Company Website

github.com/netflix/conductor

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/xray/

Categories and Features

Microservices

Not specified

Categories and Features

Application Development

Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Reporting/Analytics
Software Development
Source Control
Version Control
Web App Development

Bug Tracking

Not specified

Debugging

Not specified

Microservices

Not specified

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