Tanzu Kubernetes Grid Observability

Full-Stack Observability into TKGI

For developers and VMware Tanzu Kubernetes Grid Integrated Edition (formerly known as VMware Enterprise PKS) operators, Tanzu Observability by Wavefront provides immediate, at-a-glance insights across all containerized applications, Kubernetes, and the underlying infrastructure. Developers and Tanzu Kubernetes Grid Integrated Edition operators can aggregate metrics from thousands of hosts and containers and across multi-cloud. The Tanzu Observability integration for TKGI:

  • Populates pre-packaged Kubernetes dashboards that you can further customize for your environment ​
  • Autoscales Kubernetes pods based on any metrics in Tanzu Observability through a horizontal pod autoscaler (HPA) adapter ​​
  • Reports health and performance metrics of containerized applications, and underlying environment. Real-time, at scale, and up to 1-sec resolution at the container, pod, node, and cluster level.


Optimized for High Cardinality Containerized TKG Environments

Tanzu Observability by Wavefront can easily handle metrics and metadata for short-lived containers at scale. Our indexing strategy, patented functionality, and high-performance database is superior to competitive solutions. Benefits for developers and TKG operators include:

  • Uninterrupted data ingestion when spinning up and down hundreds of containers​
  • Fast and correct troubleshooting without pre-aggregation or inline aggregation of per-container data ​​
  • Continued insights during a major update or container fleet refresh ​​
  • Instant alerting with fast metric queries across multi-cloud at high scale


Tanzu Observability for TKG

Metrics-driven analytics and monitoring for TKG

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Our 220+ Integrations Unify Your Metrics from Anywhere

“Wavefront’s powerful query language allows us to easily visualize and debug our time series telemetry data. It’s well-tuned alerting helps us lower MTTD. Our engineers customize their own metrics to fully monitor their systems’ health and performance." - Jing Zhao, DevOps Software Engineer, DoorDash


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