Intelligent Monitoring and Alerting


Gain actionable insights into your data pipelines with Gradient’s intelligent monitoring and alerting. Effortlessly identify optimization opportunities, detect anomalies, and take action.

Gradient's intelligent monitoring and alerting

ML-powered insights

Monitor the right metrics, get instant anomaly alerts, and take proactive actions

Actionable insights

Insights, not just reports. Gradient continuously monitors your jobs to provide actionable insights. Instantly detect and react to increases in job failures, performance anomalies, cost spikes data size fluctuations, and more with Gradient. 

 

Actionable insights into your compute infrastructure

Proactive optimization

Identify your most expensive jobs and detect inefficiencies and misconfigurations across your Databricks workspace. Gradient’s intelligent monitoring focuses just on the metrics that have been proven to impact job costs and performance.

Instantly detect low hanging fruit with Gradient

Automatic anomaly alerts

Stay informed about critical issues and anomalies in your data pipelines. Get notified instantly of performance bottlenecks, cost increases, data size spikes, etc., so you can respond quickly and maintain optimal operations.

Get notified when a data sizes spike, or cost or performance anomalies are detected

Effortless root cause analysis

Quickly identify the source of performance issues or unexpected behaviors in your Databricks jobs. Gradient’s intelligent monitoring helps you pinpoint the root causes of anomalies, saving you time and resources in troubleshooting.

Instantly detect the reason behind your cost and/or performance anomalies

Single pane of glass for compute

Get a bird’s eye view of your data infrastructure with Gradient. View all of your jobs, assess costs and performance, and take action from one place.

Identify jobs to optimize and other low hanging fruit

Detect trends over time

Track key metrics over time to identify patterns and long-term trends in your data pipelines. Proactively optimize your jobs and prevent potential issues before they arise.

Detect trends over time

Granular job-level reports

Enjoy unprecedented visibility into your data pipelines with granular reports of job performance. Our reports highlight the Spark metrics that impact job costs and performance.

Granular job-level reports

Works with your data tools

Monitor all your jobs, even those orchestrated by Airflow, Azure Data Factory, Databricks Workflows, or Dagster. Gradient was built to work seamlessly with your stack and data tools. 

Gradient was built to work with your data stack
Forma.ai

I’d be surprised if there was any data team on the planet that wouldn’t save money and time from using Gradient.


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Jesse Lancaster, CTO, Forma.ai

Insider

“Gradient is an excellent tool that delivers real results that you can see in your monthly [data infrastructure] bill.”


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Deniz Parmaksız, Sr. Data Engineer, Insider

Abnormal

“With automated optimization and scalable solutions, Gradient guarantees seamless pipeline operation.”


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Blaine Elliot, Data Engineer, Abnormal

How we’re different

Monitor the right metrics, get instant anomaly alerts, and take proactive actions.

Opinionated monitoring

Focus on the right metrics. Gradient only monitors the metrics that have been proven to impact job costs and runtimes.

Gain full visibility and control over your jobs with fine-grained reporting

Actionable insights

The insights you need to take action. Get alerted of job failures, changes in data sizes, runtime anomalies, cost spikes, and trends in performance.

Actionable insights with Gradient

ML-powered optimization

Gradient’s ML models are trained on your jobs to offer custom recommendations that can be applied in a click or fully automated.

Gradient supports both copilot and autopilot modes

 

Get started today

Save up to 50% on Databricks Jobs compute with customized optimizations and actionable insights.