Monitor your apps and infrastructure with WaveFront (beyond APM): Use Cases and Solutions

In this blog, I will cover a quick introduction of WaveFront/Tanzu Observability (TO) and a couple of use cases and real challenges which can be solved using this:

What is WaveFront Tanzu Observability (TO)?

Monitor full-stack applications to cloud infrastructures with metrics, traces, span logs, and analytics. It provides extra features beyond any other APM tool

https://tanzu.vmware.com/observability

WaveFront is an APM tool and provides additional features beyond APM for monitoring your modern cloud native microservice applications, infrastructure, VMs, K8s clusters, and alerting in real-time, across multi-cloud, Kubernetes clusters, and on-prem at any scale. Traditional  tools and environments make it challenging and time consuming to correlate data and get visibility thru a single plane of the glass or dashboard needed to resolve incidents in seconds in critical production environment. It’s a unified solution with analytics (including AI) that ingests visualizes, and  analyses metrics, traces, histograms and span logs.  So you can resolve incidents  faster across cloud applications.

Features:

  • It can work with existing monitoring solutions open-sources like Prometheus, Grafana, Graphite
  • It has integration almost all popular monitoring solutions on VM and containers, SpringBoot, Kubernetes, messaging platforms, RabbiMQ, Databases etc.
  • It monitors containers and VMs stats
  • It captures all microservices APIs traces, usage and performance with topology view by it’s powerful service discovery features
  •  It maintains versions of charts and dashboards
  • Currently it stores and archive old monitoring data for analytics purposes

High Level Technical Architecture

WaveFront use cases:

  • Multicloud visibility (mostly data center, moving to public cloud)
  • Application monitoring (+ tooling for Dev and Ops visibility)
  • Service performance and reliability optimization (assess-verify)
  • Observability and diagnostics of multi-cloud and on-prem K8s clusters
  • Business service performance & KPIs
  • App metrics: from New Relic, Prometheus and Splunk
  • Multicloud metrics: from vSphere, AWS, Kubernetes
  • All data center metrics: from compute, network, storage
  • Reliability and high availability operations
  • App and Infrastructure monitoring , analytics dashboards
  • Auto alerting mechanism for any production bug or high usage of infrastructure (CPU, RAM, Storage)
  • Instrument and monitor your Spring Boot application in Kubernetes
  • Other Tanzu products monitoring
  • System-wide monitoring and incident response – cut MTTR
  • Shared visibility across biz, app, cloud/infra, device metrics
  • IoT optimization with automated analytics on device metrics
  • Microservices monitoring and troubleshooting
  • Accelerated anomaly detection
  • Visibility across Kubernetes at all levels
  • Solving cardinality limitations of graphite
  • Easy adoption across hundreds of developers
  • System-wide monitoring and incident response – cut MTTR
  • Shared visibility across biz, app, cloud/infra, device metrics
  • IoT optimization with automated analytics on device metrics
  • AWS infrastructure visibility (cost and performance)
  • Kubernetes monitoring
  • Visualizing serverless workloads
  • Solving Day 2 Operations for production issues and DevOps/DevSecOps
  • Finding hidden problems early and increase SLA for service ticket resolution
  • Application and microservices API monitoring
  • Performance analytics
  • Monitoring CI/CD like Jenkins Environment with Wavefront

Live WaveFront Dashboard

References

Generic Demo Video -1

MicroServices Observability with WaveFront Demo Video -2

Published by

Rajiv Srivastava

Cloud Native Architect with VMware

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