Wavefront by VMware

Wavefront by VMware

Wavefront by VMware is a SaaS-based metrics monitoring and analytics platform that provides real-time granular visibility into cloud environments. It specializes in handling high data volumes from various sources and detecting anomalies.
Wavefront by VMware image
metrics monitoring analytics cloud visibility

Wavefront by VMware: Real-time Metrics Monitoring & Cloud Analytics

Wavefront by VMware provides real-time granular visibility into cloud environments, handling high data volumes and detecting anomalies with its SaaS-based metrics monitoring and analytics platform.

What is Wavefront by VMware?

Wavefront by VMware is a scalable, high-performance metrics monitoring and analytics platform delivered through an end-to-end SaaS solution. It provides real-time granular visibility across complex, modern cloud environments.

Key capabilities and benefits of Wavefront include:

  • Ability to collect and analyze metrics and events data from various sources like containers, microservices, cloud platforms and custom applications
  • Anomaly detection powered by sophisticated machine learning algorithms to instantly detect issues
  • Fast query processing through a high performance time-series database to interactively analyze data
  • Pre-defined dashboards and alerts for cloud platforms like AWS, Azure, GCP, Kubernetes, etc.
  • Easy integration with 450+ open source technologies and commercial APIs
  • Flexible query language (Wavefront Query Language) to derive insights from metrics and application traces data

With features like anomaly detection, automated alerts, and built-in monitoring for cloud platforms, Wavefront simplifies cloud monitoring and helps engineers resolve issues faster.

Wavefront by VMware Features

Features

  1. Real-time metrics monitoring
  2. Automatic anomaly detection
  3. Integration with various data sources
  4. Visualization and dashboards
  5. Alerting and notifications
  6. Cloud environment support

Pricing

  • Subscription-Based

Pros

Scalable and handles high data volumes

Fast anomaly detection

Pre-built integrations for many data sources

Powerful visualization and dashboarding capabilities

Flexible pricing model

Cons

Can be complex to set up and configure initially

Limited custom alerting options

Less flexible than open source alternatives

Requires vendor lock-in


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