Overview
CirrusWave-Enterprise enables you to develop, document, test and deploy scalable, secure and robust microservices in the enterprise
- Product managers can gather requirements, design and specify the microservices, REST API
- Software engineers can generate all the necessary project files from the specification, modify and enhance the microservices. - The platform provides ways to easily make the service robust, secure and scalable.
- Quality assurance can use the documentation auto-documentation and built in test frame work to test the services. The platform is compatible with testing platforms for quality assurance.
- The microservices then can be packaged and deployed to containers in public or private clouds
Highlights
- Specify microservices requirements
- Develop, document and test robust and secure microservices
- Deploy to containers at scale
Details
Typical total price
$1.343/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.small | $0.99 | $0.023 | $1.013 |
t2.medium | $0.99 | $0.046 | $1.036 |
t2.large Recommended | $1.25 | $0.093 | $1.343 |
t2.xlarge | $1.25 | $0.186 | $1.436 |
t2.2xlarge | $1.25 | $0.371 | $1.621 |
m3.medium | $0.99 | $0.067 | $1.057 |
m3.large | $1.25 | $0.133 | $1.383 |
m3.xlarge | $1.25 | $0.266 | $1.516 |
m3.2xlarge | $1.25 | $0.532 | $1.782 |
m4.large | $1.25 | $0.10 | $1.35 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
no refunds
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
version 1.0.484
Additional details
Usage instructions
To get documentation or how to use CirrusWave
- Launch instance
- Connect to the server
- Type "cirruswave --help" More detailed documentation is available at https://developer.cirruswave.com/
Resources
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.
Customer reviews
Production Ready microservices
Our Mission at AIRA.io is to transform the daily life for people who are blind or with low vision so they can fully Engage, Explore and Experience their world. We do this with aira service that blends wearables technology, Artificial Intelligence and Augmented Reality. Aira enables a network of trained, professional agents to remotely assist people who are blind or low vision with virtually any task, every day.
To enhance our service, we needed to create a graph of conversational content that was transcribed and analyzed for actionable cues. We adopted a Microservices based architecture using CirrusWave platform. CirrusWave helped us define the requirements, develop the necessary stub code, connect to our various data sources like S3, MySQL, elastic search seamlessly.
The Microservices developed were well documented, had an integrated test suite in it. We were pleasantly surprised by how quick, easy it was to develop and deploy these services to Docker containers using CirrusWave. The documentation was easy to follow and the deployed microservices were robust and scalable.
CirrusWave technical support team was awesome. All our questions during development and deployment were answered quickly.
Our original estimate to get this project started and running were about 2.5 months, but we were pleasantly surprised to get it production-ready in less than a week by using CirrusWave. Excited by the successful deployment, we are continuing to add more microservices.