Kubernetes Observability

The Future of Kubernetes Monitoring

Observe Any Kubernetes Cluster and Any Workload

The Tanzu Observability by Wavefront provides OOTB integrations with all the popular Kubernetes environments including:

VMware Tanzu: VMware TKGi (formerly known as VMware PKS), Tanzu Mission Control
RedHat Openshift, Azure Kubernetes Service(AKS), Amazon EKS

Full-Stack Visualizations with Auto Discovery and Auto Configuration

With a zero-configuration installation, Tanzu Observability by Wavefront delivers immediate observability into Kubernetes environments and auto-discovered Kubernetes workloads. Tanzu Observability automatically:

Recognizes Kubernetes services, then discovers and instruments Java-based services across any cloud via the Tanzu Observability by Wavefront Java Tracing Agent
Populates OOTB dashboards with full-stack metrics from all Kubernetes layers – clusters, nodes, pods to containers and system metrics
Scales your Kubernetes pods based on Wavefront metrics using the Horizontal Pod Autoscaler (HPA) adapter

High Cardinality for Cloud Services with up to 200,000+ Containers

To grow your cloud services without limits, Tanzu Observability scales to ingest, visualize, and analyze telemetry from 200,000 concurrently running containers per Kubernetes cluster. Operator, SRE, and developer teams use Tanzu Observability to achieve:

Uninterrupted data ingestion and visualization no matter how often you refresh your container fleet during code deployments and updates
Instant real-time alerting across multi-cloud environments at high scale
Fast and accurate troubleshooting with high fidelity, high cardinality metrics and without roll-ups

End-To-End Troubleshooting and Correlation

Use Tanzu Observability by Wavefront to troubleshoot applications, Kubernetes, and infrastructure as you deploy and run containerized code. Tanzu Observability is built to let you:

See the full stack, correlate across layers and quickly drill down into any microservice on any container, Kubernetes, and multi-cloud
Identify root cause faster with analytics-driven alerts, correlated to Kubernetes operational metrics and alerts
Isolate containerized microservices issues quickly using distributed tracing

“I cannot imagine the world without time series databases and metrics-driven analytics software like Wavefront. With continuous insight into the performance of our containerized applications, Mixpanel’s engineers gained the ability to monitor their resources cost in real-time, saving hours of troubleshooting time and increasing availability of their applications.” - Arya Asemanfar, Manager Infrastructure Team, Mixpanel