Unified observability
View all three pillars of observability (metrics, logs, traces) from a single source of truth.
Unified observability
View all three pillars of observability (metrics, logs, traces) from a single source of truth.
Scalability
Get unmatched scalability in the millions of points per second.
Faster issue resolution
Pinpoint root cause to improve uptime, gain faster issue resolution, and enjoy greater business agility.
Run performant and reliable Kubernetes environments with full-stack visibility of nodes, pods and containers. Enjoy automated application context out of the box.
Deliver exceptional SLAs and eliminate customer-impacting issues through flexible tracing and analytics using traces and metrics.
Full stack visibility with traces, metrics and logs for more actionable insights at scale.
Correlate data across applications, infrastructure, developer and DevOps tools of your choice with packaged dashboards, metrics and alerts. Gain instant visibility across all major public cloud platforms: AWS, Azure and GCP.
View 250+ integrationsTanzu Observability provides in-depth observability across modern cloud applications and infrastructure with metrics, logs, traces and event data collected across the entire IT stack.
Tanzu Observability records full distributed traces of your cloud native applications, correlating it all to metrics and logs within application service maps. Troubleshoot and optimize application performance faster with unified views.
Tanzu Observability enables DevOps teams to monitor modern, cloud native applications, microservices and serverless. With advanced and accurate alerting, powered by AI/analytics and query language, DevOps engineers can define smart, adaptive, multi-threshold alert conditions, eliminating alert storms.
Tanzu Observability delivers instant real-time alerting on anomalies in your production applications, pinpointing the root-cause and reducing mean-time-to-resolution (MTTR).
Tanzu Observability retains full granularity for all your telemetry (1-sec bucket default, sub-1-sec with histograms) as data is archived. No down-sampling preserves 100% data fidelity. Accurately baseline to seasonality and historical trends.
Nic Walker, Head of Technical Operations, Space Ape
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Jing Zhao, DevOps Software Engineer, DOORDASH
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