Sold by: Software Sushi
Deployed on AWS
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This is a repackaged open source software product wherein additional charges apply for AMI packaging, first-boot configuration and setup documentation. Run Vector 0.58.0 on Ubuntu 24.04 as a loopback log pipeline with JSON ingest, VRL redaction, a bounded disk buffer, and a local file destination.
Overview
This is a repackaged open source software product wherein additional charges apply for independent AWS packaging, validation, maintenance and setup documentation. Datadog authors Vector under MPL-2.0; Software Sushi supplies the AMI recipe, pinned official Vector 0.58.0 linux/amd64 archive, first-boot TLS and HTTP basic password, loopback defaults, and setup documentation without claiming upstream endorsement.
Launch the approved version on t3.medium with at least 16 GiB encrypted root storage and at least 2 GiB RAM. Connect with AWS Systems Manager as ubuntu or restrict SSH to your administrative CIDR. First boot writes TLS material and an HTTP basic password; nothing sensitive is baked into the image. Vector listens on loopback only: HTTPS JSON ingest at 127.0.0.1:8687, API health at 127.0.0.1:8686, and Prometheus metrics at 127.0.0.1:9598. It also reads JSON lines from a local directory, applies a reviewed VRL redaction program, and writes a local file through a bounded disk buffer. Keep credentials out of recordings and tickets.
The standard software fee is described in the AWS Marketplace offer terms. EC2, EBS and data-transfer charges are billed separately. See the offer terms for applicable billing promotions.
After launch, wait for cloud-init to finish, then follow the bundled README for configuration, backup and day-2 operations. IAM is optional until you add a customer S3 sink.
Highlights
- Pinned Vector 0.58.0 official linux/amd64 build with provenance receipts.
- Loopback log pipeline with VRL redaction and a bounded disk buffer.
- Bundled configuration, backup and day-2 operations documentation.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.02 |
Dimensions summary
This listing uses one usage-based pricing dimension tied to the t3.medium Amazon EC2 instance size, billed by the hour. You pay the hourly software rate only while the instance runs, so costs scale directly with how long you keep it running. There are no tiers or quantity commitments to choose between. The AMI deploys in your own AWS account, and AWS infrastructure charges such as EC2, storage, and data transfer are billed separately from this software rate.
Top-of-mind questions for buyers
The hourly rate covers the Vector Log Pipeline software running on a t3.medium Amazon EC2 instance. This is a hardened Ubuntu Amazon Machine Image. You add your own credentials after launch and manage the infrastructure in your own AWS account.
The software rate meters running time. When the instance is fully stopped, software charges do not accrue. Stopped instances may still incur AWS storage fees for attached volumes. You pay the hourly software rate only while the instance runs.
AWS infrastructure such as EC2 compute, storage, networking, and data transfer is billed separately. Any connected model providers, messaging platforms, or other external services may also charge for their own usage. These charges are not part of the software rate.
softwaresushi.com
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Vendor refund policy
We offer a full refund of software charges for the first 48 hours billing starts if the product does not perform as described. To request a refund, email info@softwaresushi.com with your EC2 instance ID and a description of the issue. AWS infrastructure costs (EC2, EBS, data transfer) are not eligible for refund by us.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
Vector 0.58.0 on Ubuntu 24.04 LTS for t3.medium. Includes the pinned binary, loopback HTTPS and file ingest, reviewed VRL redaction, a bounded disk buffer, and a local file destination. Connect with Session Manager as ubuntu and run bash /opt/sushi/docs/demo.sh after first boot.
Additional details
Usage instructions
Launch t3.medium with at least 16 GiB encrypted gp3 root storage. Use AWS Systems Manager Session Manager as ubuntu, or restrict SSH to your administrative CIDR. After first boot, run bash /opt/sushi/docs/demo.sh. Vector listens on loopback only and has no public inbound service port.
Support
Vendor support
Software Sushi provides AMI packaging and setup guidance. Contact info@softwaresushi.com for installation questions. Support coverage requires a separate agreement. This offer does not include Vector project 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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