Audience
This product is intended for: Software Engineers, DevOps Engineers, Site Reliability Engineers
About VictoriaMetrics Cloud
VictoriaMetrics Cloud allows users to run the Enterprise version of VictoriaMetrics, hosted on AWS, without the need to perform typical DevOps tasks such as proper configuration, monitoring, log collection, access protection, software updates, and backups.
We run VictoriaMetrics Cloud instances in our environment on AWS and provide easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of optimal configuration and software maintenance.
It comes with the following features:
It can be used as a Managed Prometheus - configure Prometheus or Vmagent to write data to Managed VictoriaMetrics and then use the provided endpoint as a Prometheus data source in Grafana;
Every VictoriaMetrics Cloud instance runs in an isolated environment, so instances cannot interfere with each other;
VictoriaMetrics Cloud instance can be scaled up or scaled down in a few clicks;
Automated backups;
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VictoriaMetrics Enterprise
VictoriaMetrics Enterprise is a commercial solution designed by the creators of VictoriaMetrics for complex monitoring and observability setups. It's ideal for organizations with mission-critical, large, or rapidly scaling monitoring environments.
The Enterprise version includes all the features of the community edition plus additional enhancements such as Downsampling Automated Backups / Backup Manager Data Retention per Label/Tenant Multi-Tenant Statistic & Rate Limiting Anomaly Detection. It offers stable releases with long-term support, ensuring critical bug fixes and security patches. Enterprise security compliance and prioritized feature requests are also part of the package.
We help you to reduce storage costs and boost performance for historical data queries. Multiple retentions allow different storage durations for various datasets. Automatic discovery of storage nodes updates the list at insert and vmselect without restarting services.
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Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API.
Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.).
Download: https://sourceforge.net/projects/prometheus.mirror/
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VictoriaLogs
VictoriaLogs, an open-source log database from VictoriaMetrics, is designed to be user-friendly. It seamlessly integrates with widely used log collectors and offers a more straightforward setup process than Elasticsearch and Grafana Loki. The robust LogsQL query language provides full-text search capabilities across all log fields, simplifying log management. It scales impressively with CPU, RAM, disk IO, and space, running efficiently on Raspberry Pi and high-end servers. It handles data volumes up to 30 times larger than Elasticsearch and Grafana Loki on the same hardware, making it a powerful choice for various environments. VictoriaLogs supports fast full-text search over high-cardinality log fields like trace_id, user_id, and IP. It works seamlessly with traditional Unix log analysis tools like grep, less, sort, and jq. It also offers multi-tenancy support, accommodating diverse needs.
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VictoriaMetrics Anomaly Detection
VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency.
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Pricing
Starting Price:
$190 per month
Free Trial:
Free Trial available.
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Company Information
VictoriaMetrics
Founded: 2018
United States
victoriametrics.com/products/cloud/
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