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What is VictoriaMetrics Cloud?
VictoriaMetrics Cloud enables users to deploy VictoriaMetrics Enterprise on AWS seamlessly, eliminating the need for traditional DevOps tasks such as configuration, monitoring, log collection, security management, software updates, protection, or backups.
By utilizing AWS for our VictoriaMetrics Cloud, we offer user-friendly endpoints designed for efficient data ingestion, while VictoriaMetrics handles all aspects of software upkeep and ensures optimal settings are in place.
Key features of VictoriaMetrics Cloud include its ability to seamlessly integrate with Prometheus; users can configure Prometheus, Vmagent, or VictoriaMetrics to send data to the Managed VictoriaMetrics, and then utilize the provided endpoint as a Prometheus source in Grafana.
Each instance of VictoriaMetrics Cloud operates within its own isolated environment, preventing any potential interference between instances.
Furthermore, scaling instances up or down can be accomplished in just a few clicks, providing users with flexibility based on their needs.
Additionally, the service incorporates automated backups, offering peace of mind and data security.
What is Dash0?
Engineering teams that adopt OpenTelemetry often hit the same wall: instrumentation is standardized, but the backend receiving it is not. Dash0 was built to close that gap.
Every signal, whether a trace, a log record, a metric, or the resource emitting it, is stored against OpenTelemetry semantic conventions and correlated automatically. A request that ran long can be examined next to the log lines it produced and the pod it ran on, with no manual joins and no hopping between products.
Ingestion happens through a standard OTLP endpoint. Nothing proprietary gets deployed, and existing instrumentation keeps working untouched. Because the wire format is open, data can be redirected to a different destination later without changes to application code.
Prometheus users are treated as first-class. Full PromQL is supported, existing recording and alerting rules carry over, and Grafana dashboard definitions import directly. Cluster-level collection is handled by a dedicated Kubernetes operator covering workloads, nodes, and control plane components.
Visualization runs on Perses, with dashboard, check, and alert definitions expressed declaratively and kept under version control. Investigations start broad and get narrow: heatmaps expose the shape of a latency distribution, then filters on high-cardinality attributes isolate the affected requests.
Machine learning is applied to telemetry during processing rather than surfaced as a chatbot. Log AI assigns severity to records that arrive without it, discovers recurring patterns, and clusters similar entries, turning noisy third-party output into something queryable. For failing requests, the SIFT methodology structures the path from symptom to root cause.
Consumption stays transparent throughout. Teams can identify which services, attributes, and log volumes are responsible for their bill and reduce them at the source, before the invoice arrives.
Integrations Supported
Akamai
All Quiet
Amazon Web Services (AWS)
Argo CD
Atlassian Insight
Claude
Cline
Erlang
GitHub
Go
API Availability
API Availability
Has API
Pricing Information
$190 per month
Free Trial Offered?
Pricing Information
$0.00 per month
Completely transparent usage based pricing
Free Trial Offered?
Supported Platforms
SaaS
Mac
Supported Platforms
SaaS
Customer Service / Support
24 Hour Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
VictoriaMetrics
Date Founded
2018
Company Location
United States
Company Website
victoriametrics.com/products/cloud/
Company Facts
Organization Name
Dash0
Date Founded
2023
Company Location
United States
Company Website
www.dash0.com
Categories and Features
Time Series Databases
Not specified
Categories and Features
AI Observability
Not specified
AI SRE Agents
Not specified
Application Performance Monitoring (APM)
Not specified
Cloud Monitoring
Not specified
Container Monitoring
Not specified
Database Monitoring
Not specified
IT Alerting
Not specified
IT Infrastructure Monitoring
Not specified
Log Analysis
Not specified
Log Management
Not specified
Observability
Not specified
Telemetry
Not specified
Website Monitoring
Not specified