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    VictoriaMetrics | Support by cloudimg

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    Sold by: cloudimg 
    Deployed on AWS
    Free Trial
    AWS Free Tier
    This product has charges associated with it for seller support. VictoriaMetrics, the fast and cost effective open source time series database and monitoring solution, preinstalled as a system service with the vmui web interface and read and write APIs published behind an authenticating nginx proxy. A unique admin password is generated on first boot. Backed by 24/7 cloudimg support.

    Overview

    Open image

    This is a repackaged open source software product wherein additional charges apply for cloudimg support services.

    Overview VictoriaMetrics is a fast, cost effective and scalable open source time series database and monitoring solution. It is a drop in replacement for Prometheus remote storage that accepts data over the Prometheus remote write, Influx line protocol, Graphite, OpenTSDB and CSV protocols, and answers queries in MetricsQL, a backwards compatible PromQL superset. This image delivers the VictoriaMetrics single node build fully installed and configured as a system service, so a production grade metrics database is running within minutes of launch.

    Application Stack The VictoriaMetrics single node binary installed under /opt/victoriametrics and run by a dedicated unprivileged service account. The time series database stored on a dedicated data disk so the metrics store is independently resizable. A systemd service that starts the database on boot and restarts it on failure. An nginx reverse proxy that publishes the vmui web interface and the read and write APIs on port 80 behind HTTP Basic authentication.

    Time Series Database Ingest metrics over the Prometheus remote write protocol, the Influx line protocol, Graphite, OpenTSDB or the JSON and CSV import APIs, then query them with MetricsQL or PromQL through the built in vmui interface, the Prometheus compatible HTTP API or your Grafana dashboards. VictoriaMetrics uses high compression and an efficient storage engine to keep long retention metrics on modest disk.

    Secure First Boot On the first boot of your instance a one shot service generates a fresh admin password, unique to that instance, writes it into the nginx credentials file and writes the password to a root only file. The database binary itself binds to loopback only and is never exposed without authentication. No shared or default credentials ship in the image.

    Ready To Use The vmui web interface is served on port 80 through nginx. Sign in with the generated administrator credentials to run queries, explore metrics, inspect cardinality and check database health. Point your Prometheus remote write, vmagent or Grafana data source at the instance on port 80 using the same credentials.

    cloudimg Support 24/7 technical support by email and chat. Help with deployment, ingestion protocol configuration, retention and downsampling, MetricsQL queries, Grafana integration, TLS and storage tuning.

    Use Cases Long term Prometheus remote storage. A single node metrics backend for Grafana dashboards. Application and infrastructure monitoring. IoT and sensor telemetry storage. A cost effective alternative to hosted monitoring backends.

    All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

    Highlights

    • VictoriaMetrics single node time series database preinstalled as a systemd service with the vmui web interface and the Prometheus compatible read and write APIs published on port 80, no manual setup required
    • Ingests Prometheus remote write, Influx, Graphite and OpenTSDB protocols and answers MetricsQL and PromQL queries, with the time series database on a dedicated independently resizable data disk
    • Hardened first boot generates a fresh admin password for every instance behind an authenticating nginx proxy and stores it in a file only the root user can read, with 24/7 technical support from cloudimg

    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 7 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.

    VictoriaMetrics | Support by cloudimg

     Info
    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. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.
    If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier  for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier  for more details.

    Usage costs (690)

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    • ...
    Dimension
    Description
    Cost/hour
    t3.large
    Recommended
    t3.large
    $0.08
    t2.micro
    t2.micro instance type
    $0.04
    t3.micro
    t3.micro instance type
    $0.04
    i7ie.metal-48xl
    i7ie.metal-48xl instance type
    $0.24
    c7i.8xlarge
    c7i.8xlarge instance type
    $0.24
    r8i.metal-96xl
    r8i.metal-96xl instance type
    $0.24
    d3.xlarge
    d3.xlarge instance type
    $0.12
    c6a.32xlarge
    c6a.32xlarge instance type
    $0.24
    g7e.8xlarge
    g7e.8xlarge instance type
    $0.24
    r8a.2xlarge
    r8a.2xlarge instance type
    $0.24

    Vendor refund policy

    Refunds available on request.

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    Legal

    Vendor terms and conditions

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    Usage information

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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

    Initial release of VictoriaMetrics single node 1.145.0 time series database.

    Additional details

    Usage instructions

    Connect via SSH on port 22 as the default login user for your operating system variant (the user guide lists it per variant). The vmui web interface is served on port 80: browse to http://<instance-public-ip>/ and sign in with user admin and the generated password. Retrieve the credentials with: sudo cat /root/victoriametrics-credentials.txt. The Prometheus compatible read API (/api/v1/query) and write API (/api/v1/write, /influx/write, /api/v1/import) are served on the same port 80 behind the same HTTP Basic credentials; point your Prometheus remote write, vmagent or Grafana data source at http://<instance-public-ip>/ with user admin. The time series database lives on a dedicated data disk mounted at /var/lib/victoria-metrics.

    Resources

    Vendor resources

    Support

    Vendor support

    cloudimg provides 24/7 technical support for this product by email and live chat. Our engineers help with deployment, configuration, updates, performance tuning and troubleshooting; critical issues receive a one hour average response. Contact support@cloudimg.co.uk .

    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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