Overview
This product provides Vector 0.52.0 integrated with CentOS Stream 9 and delivered as an Amazon Machine Image (AMI) by ThinkCloud. The image includes a pre-configured, security-hardened observability data pipeline for collecting, transforming, and routing logs, metrics, and traces.
Vector is written in Rust and supports memory-efficient sidecar and aggregator deployments. It provides parsing, filtering, and aggregation capabilities, disk-based buffering, and delivery acknowledgments for resilient data transport.
The vendor-agnostic pipeline can route data to destinations such as Amazon S3, Amazon CloudWatch, Kafka, or Elasticsearch.
Marketplace software charges cover seller-performed software and operating-system integration, preparation of observability pipeline configuration, application of the verified hardening baseline, repeatable image construction, and final AMI testing. Support and maintenance are supplementary services and are not the sole basis for the software charges.
Highlights
- CentOS Stream 9 Minimal installation and latest
- Professional technical support and fast response
- Optimize the software Vector on CentOS Stream 9 and includes support
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.04 |
t3.micro | $0.04 |
t2.micro | $0.04 |
c8a.medium | $0.04 |
m8i.48xlarge | $0.69 |
m7i.16xlarge | $0.29 |
m6idn.large | $0.09 |
inf1.2xlarge | $0.09 |
r8a.12xlarge | $0.09 |
c3.2xlarge | $0.09 |
Vendor refund policy
no refunds
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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
Updated to the latest
Additional details
Usage instructions
ssh as user 'ec2-user' to the running instance and use sudo to run commands requiring root access
Use "sudo su - root" to switch to root.
- Connection Method
Connect via SSH as user ec2-user to the running instance.
Use sudo to run commands requiring root access, or switch to root using: sudo su - root
- Application Details
Check Version: vector --version
Installation Directory: /usr/bin/vector (Binary executable)
Data Directory: /var/lib/vector
Configuration File: /etc/vector/vector.yaml
- Service Management To manage the Vector service, use the following systemd commands:
Start: sudo systemctl start vector
Stop: sudo systemctl stop vector
Status: sudo systemctl status vector
- Network Configuration
Default Behavior: The base installation (demo mode) generates internal logs and does not open network ports by default.
Port Configuration: Ports are dynamic and defined in the config file under [sources].
Common Ports: 8686 (Vector API/GraphQL), or custom ports (e.g., 9000, 8080).
AWS Security Groups: Please ensure you allow traffic on the specific ports in your AWS Security Groups if you configure Vector to receive external traffic.
Please allow SSH port 22 limited IPs for access.
Support
Vendor support
If you encounter problems in the process of using the system, please feel free to contact us by email: support@thinkclouds.ai thank you!
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.