Sold by: Software Sushi
Deployed on AWS
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Collect, clean and route logs on your own instance. Vector 0.58.0 accepts JSON over HTTPS with a password, redacts sensitive fields with a VRL program, buffers to disk and writes to a local file. An S3 sink example is included. Built-in walkthrough on Ubuntu 24.04.
Overview
Collect, clean and route logs on an instance you control. This image runs Vector 0.58.0 with an authenticated HTTPS JSON ingest, a redaction step that masks sensitive fields, a bounded disk buffer and a local file destination, with an example S3 sink you can enable.
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.
Reach it from other machines: To accept logs from other hosts, put a proxy you control in front of Vector, or change the address of the http_in source to the instance's private IP and allow only your own network in the security group. Do not bind it to 0.0.0.0 or open it to the internet.
Copy-paste launch kit (role, security group, run-instances and CloudFormation): https://docs.softwaresushi.com/launch-kit/ and the Vector Log Pipeline guide: https://docs.softwaresushi.com/vector/
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.
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
You pay one usage-based rate billed per running instance-hour on a t3.medium EC2 instance. This is the only pricing dimension, so there are no tiers or size options to compare. Billing accrues for each hour the instance runs, and stops when you stop the instance. The software charge is separate from AWS infrastructure costs. AWS bills EC2, EBS, and data transfer separately under your own account.
Top-of-mind questions for buyers
The software runs on a single t3.medium EC2 instance in your account. It bundles Vector 0.58.0 with HTTPS and file ingest, a VRL redaction step, a bounded disk buffer, and a local file destination. You add your own credentials and configuration after launch; the image ships with no live secrets.
The software charge accrues per running instance-hour on the t3.medium. A fully stopped instance stops the software charge. Stopped instances may still incur AWS storage fees for attached EBS volumes. AWS bills EC2, EBS, and data transfer separately under your own account.
The hourly rate covers only the software license. AWS infrastructure such as EC2 compute, EBS storage, and data transfer is billed separately in your own account. The listing does not include support for the underlying Vector project itself. You supply your own credentials and configuration after launch.
docs.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.
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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 (16 GiB or larger encrypted gp3, IMDSv2) with an instance profile that has AmazonSSMManagedInstanceCore and outbound HTTPS. No inbound rules are needed. Copy-paste launch kit (role, security group, run-instances, CloudFormation): https://docs.softwaresushi.com/launch-kit/
- Connect: aws ssm start-session --target <instance-id>. After cloud-init finishes, run: sudo -iu ubuntu bash /opt/sushi/docs/demo.sh (expect a final line ending in DEMO_PASSED).
- Use it: Check health on the instance: curl 127.0.0.1:8686/health. Send records as JSON with a POST to port 8687 (path /ingest) over HTTPS, user vector, trusting /etc/vector/tls/cert.pem. Accepted records appear under /var/lib/vector/out/.
- Secrets and access: The ingest password is the VECTOR_HTTP_PASSWORD line in /var/lib/vector/vector.env (read with sudo cat). To send from your computer, forward port 8687: aws ssm start-session --target <instance-id> --document-name AWS-StartPortForwardingSession --parameters '{"portNumber":["8687"],"localPortNumber":["8687"]}'
- Reach it from another host: Vector listens on loopback. Either put a proxy you control in front of it, or change the address of the http_in source to the instance's private IP and allow only your own network in the security group. Do not bind it to 0.0.0.0 or open it to the internet. Guide: https://docs.softwaresushi.com/vector/ . Support: info@softwaresushi.com
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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