See What Others Can’t See: Isolate Problem Causes in Seconds
Got an outage? With VMware Tanzu Observability by Wavefront you can search for the cause with a single command, in real-time, on production-scale data.
In the screenshot below, the top chart shows all metrics across all systems during an outage. The data is noisy and difficult to understand. Can you spot the three switches that load dropped by half at the exact same time as the outage?
With Tanzu Observability, we can create a window corresponding to the outage, and then correlate every other related system and metric with that window, per the bottom chart.
As a result, we can now see the three switches that dipped and recovered at the time of the outage. We’ve just saved ourselves hours of manual investigation, and can now drill into these components and see exactly what went on. Furthermore, we can take steps to prevent another incident.
Automatically Find Performance Anomalies and Capacity Bottlenecks with AI Genie
Need a faster way to see service and infrastructure anomalies? Tanzu Observability’s AI Genie uses machine learning for automatic anomaly detection and forecast prediction, making it easy to visualize incidents and future needs, across modern applications and infrastructure. Developers and SREs don’t need any statistics or analytics background to use it. AI Genie calibrates AI/ML analytic parameters for you.
- Get automated insights into applications, infrastructure, anomalies, and future user needs—no analytical experience required
- Dynamically filter noise and capture true anomalies and potential problems without parameters tuning
- Intelligently alert on application or infrastructure bottlenecks with an automated queries driving anomalous and prediction functions.
Lightning-fast Data Search with Chart Builder and Tags
Cloud-native applications create massive volumes of telemetry, so how can you quickly find the signal in the noise? Tanzu Observability queries are the fastest way to search your data. We make it easy to craft queries using dropdown menus, filters, and autocomplete forms.
Customizable metatags help to organize your data and improve searches. Tanzu Observability makes it simple to manage tags across all of your metrics data.
Drive Smarter Dashboards, Alerts, and Problem Solving
Any cloud monitoring tool can pump out basic dashboards and alerts, but how useful are they? Can you run your business with them?
Tanzu Observability analytics transform dashboards, alerts, and problem-solving searches. Analytics drive smarter monitoring, making you smarter.
With a single click, turn any query into an analytics-driven chart in a dashboard, or an analytics-driven alert that more accurately tracks system behavior without false positives. Queries can also be API-driven for complete automation.
Take Command with the Most Advanced Query Language
Any language, whether for humans or analytics engines, is as powerful as its vocabulary’s depth and breadth.
Tanzu Observability’s query language delivers 2 to 4x more analytics functions versus other commercial or open source metrics monitoring tools. The Tanzu Observability platform supports PromQL so you can use Prometheus query language to power Tanzu Observability alerts and dashboards.
A vastly more powerful language saves DevOps and developer teams enormous amounts of time and resources. With Tanzu Observability, use analytics to do so much more: faster, bigger, cheaper.
Spotlight: A Few of Our Unique Analytical Functions
Here’s snapshot of a few of the 100+ analytical functions Tanzu Observability uniquely supports. Use them at scale to see problems earlier before your customer experience is affected:
| Function Group | Use Case Example |
|---|---|
| CORRELATIVE ANALYSIS | Problem Solving – search for a problem cause with a single command by comparing multiple metric streams to an anomaly window |
| PREDICTIVE ANALYSIS | Planning – predict behavior from existing data with high seasonality, then generate an alert when a future problem is foreseen |
| ANOMALY DETECTION | Alerting – dynamically identify deviations from normal behavior at every layer in your cloud-native stack |
Derived Metrics Tailor Monitoring to Your Unique Environment
Your cloud application environment is unique. So why implement “cookie-cutting” monitoring using just standard metrics?
Run Tanzu Observability analytics to automate the preprocessing of new custom metrics, derived from existing metric streams. Like other metrics, derived metrics can then be stored, visualized, and chained into new queries.
For DevOps teams, derived metrics can simplify the metrics pipeline, saving time and resources, while maintaining consistency across teams.
Query Performance that Scales Across All Your Teams
Tanzu Observability’s analytics engine is specifically built for enterprise performance and scale.
While most cloud monitoring companies avoid exposing a fully-featured query language for fear that its processing could take down its whole monitoring service, Tanzu Observability founders took it as a challenge to deliver the best query performance in the industry. And they delivered.
The result is lightning-fast responses to queries, scaling to the largest organizations with thousands of engineers, all using analytics to power their real-time dashboards, alerts, and searches. 
"[Tanzu Observability]'s queries and analytics crunch metrics data so fast, in a way that Graphite could never do." - Raleigh Schikel, DevOps Manager, uShip
