VictoriaMetrics
VictoriaMetrics is a fast and scalable open source time series database and monitoring solution that lets users build a monitoring platform without scalability issues and minimal operational burden.
VictoriaLogs
VictoriaLogs is a database we designed for logs. It works with both structured and unstructured logs, automatically indexing all fields to allow for full-text search. During ingestion, it flattens nested JSON into a single level. To optimize storage and query performance, the data is organized into “log streams,” and the system uses a log-structured merge-tree (LSM tree) data structure.
VictoriaTraces
VictoriaTraces is an open-source, user-friendly database designed for storing and querying distributed tracing data, built by the VictoriaMetrics team.
VictoriaMetrics Enterprise
VictoriaMetrics Enterprise is a commercial offering provided by the creators of VictoriaMetrics to help solve your organization’s monitoring and observability set ups – even the most complex ones. The larger and more complex your setup the more value that we can provide.
VictoriaMetrics Cloud
VictoriaMetrics Cloud is a cost-effective monitoring solution without the extra complexity and maintenance burden for the following use cases:
– Managed Prometheus
– Long-term remote storage for Prometheus
– Global querying view (single pane of glass) for metrics collected from many sources
Run VictoriaMetrics Cloud on AWS without the need to perform typical DevOps tasks such as proper configuration, monitoring, logs collection, access protection, software updates, backups, etc.
Anomaly Detection
Victoria Metrics Anomaly Detection is a component of VictoriaMetrics Enterprise, which enhances your observability framework by identifying irregularities within metrics data.
Properly handles seasonality, trends and the other unique characteristics of metrics data, generating unified anomaly scores.
Scores can be seamlessly integrated with alerting services, enabling the creation of comprehensive, action-oriented pipelines.
Designed to bolster the stability of essential operational areas through automation.
Minimizes the need for manual intervention, reducing operational costs and decreasing Mean Time to Resolution. (MTTR)