Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. Simplify data engineering workflows with Dagster, a powerful Python framework, conveniently repackaged by Apps4Rent for seamless integration on the AWS Marketplace. This versatile tool provides a comprehensive set of features for building, managing, and orchestrating data pipelines. Accelerate development workflows by streamlining pipeline orchestration and task scheduling. Dagster's intuitive API simplifies complex workflow management tasks, saving you time and effort. Integrate seamlessly with popular data science and machine learning tools and libraries, enhancing your project's efficiency and reliability. Experience the power of Dagster with Apps4Rent's pre-configured solution on AWS Marketplace. Deploy and manage your data pipelines effortlessly, focusing on core application logic. Benefit from the flexibility and scalability of AWS to handle growing data pipeline requirements and complexity. Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo, or Open-Source license as applicable.
Highlights
- Workflow Orchestration: Dagster is a powerful framework that simplifies the process of building, managing, and orchestrating data pipelines. This can help you streamline your data engineering workflows, improve data quality, and accelerate your time to value.
- Flexibility and Extensibility: Dagster is highly customizable and can be integrated with a wide range of tools and technologies. This makes it suitable for various use cases, from simple data processing pipelines to complex machine learning workflows.
- Scalability and Performance: Dagster can be scaled to handle large and complex data pipelines, making it suitable for demanding data engineering tasks. It can also be integrated with cloud platforms like AWS to leverage their scalability and performance benefits.
Details
Typical total price
$0.146/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.10 | $0.02 | $0.12 |
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium Recommended | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
t3.medium | $0.10 | $0.042 | $0.142 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses or refund for any of the products mentioned above. The products come with open source licenses.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Additional details
Usage instructions
Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ubuntu This software does not store any sensitive customer information. This software does not require any type of data encryption configuration. programmatic system credentials and cryptographic keys are not required for this product. Once inside the machine become sudo user and navigate to root directory: sudo su cd /root Dependencies version check: python/python3 --version or pip3 --version Get into the Python Enviroment: source mynev/bin/activate Verify the installtion: pip3 show dagster or pip3 list dagster To get out of python enviroment: deactivate *Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required for this product to function as expected. ii)We recommend keeping your crucial data in a custom made encrypted EBS to save from termination in future.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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