Real-Time Analytics

Cloud-native monitoring demands powerful analytics

“Our query language allows time series data to be manipulated in useful ways that have never been seen before. The language is easy-to-understand, yet powerful enough to deal with high-dimensional data. Coupled with our lightning-fast analytics engine, you can pose questions such as ‘Which clusters of machines are exhibiting behavior that is different from others?’”

-Dev Nag, CTO & Founder

 Check out these videos to see key questions answered with Wavefront analytics.

Find Signals in Noise

Data Exploration

Search for Information

Correlation Function

See What Other Can’t See:
Isolate Problem Causes in Seconds

Got an outage? With Wavefront you can search for the cause with a single command, in real-time, on production-scale data.

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 Wavefront, we can create a window corresponding to the outage, and then correlate every other related system and metric against 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.

"Wavefront's queries and analytics crunch metrics data so fast, in a way that Graphite could never do."

Raleigh SchikelDevOps Manager, uShip

Lightning-fast Data Search with Query Builder and Tags

Cloud-native applications create massive volumes of telemetry, so how can you quickly find the signal in the noise? Wavefront 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. Wavefront 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?

Wavefront 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.

Wavefront comparison to competitors

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.

Wavefront’s query language delivers 2 to 4x more command power versus other commercial or open source metrics monitoring tools.

A vastly more powerful language saves DevOps and developer teams enormous amounts of time and resources. With Wavefront, 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 Wavefront 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 Wavefront 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.

Derived new metrics in wavefront

Query Performance that Scales Across All Your Teams

Wavefront’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, Wavefront 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.