The Ops Plane

Build confidence through assured data reliability. Drive ROI with detailed pipeline costs. Observe every aspect of data pipeline operations. Driven by unparalleled metadata.

Data pipeline automation platform diagram with ops plane highlighted in red to show unified DataOps solution.

What Is The Ops Plane?

An operations layer that raises business confidence, quantifies data processing costs, and creates transparency.

Visual representation of Ascend's unified dataops plane for reliability, costing, and observability of your data pipelines.

Build Trust and Velocity

Ascend integrates into the overall data operations of the business by addressing three key pillars across the intelligent pipelines it operates. These pillars are applied to every data set as it arrives from each data source. They also operate at real-time as the data is processed through the web of linked pipelines in a series of workloads. And they operate as each workload is dispatched to run in the data clouds of the user’s choosing.

Data Reliability​

Drive business confidence with pinpoint assurances and integrated actionable data quality. Raise resilience with auto-recovery and resume features.

Costing

Understand your pipeline costs to assess the ROI of data products. Plan budgets for new projects using actual cost data.

Observe

Visualize operational details directly in the platform. Access fine grained logs via the SDK to mine operational metadata for DataOps insights.

Data pipeline with checkmarks and warnings to represent data reliability in Ascend's unified DataOps solution.

Data Reliability

Above all is the confidence with which the business makes decisions. The DataAware™ framework provides several assurances of reliability of data. They occur at every ingestion point and at every transformation step. First, actionable data quality rules automatically catch problem data records as soon as they arrive in the system. Second, recovery algorithms automatically compensate for various types of infrastructure and data cloud failures. Third, each platform operation is instrumented with detailed real time notifications for users and managers.
Data pipeline with checkmarks and warnings to represent data reliability in Ascend's unified DataOps solution.
Visual representation of understanding and optimizing data product costs with data pipeline automation.
Visual representation of understanding and optimizing data product costs with data pipeline automation.

Costing

The control plane monitors every workload sent to the data clouds for resource utilization. This data is collated into visual reports in the UI. It is also available directly via the Ascend SDK, and can be sent to logging and financial reporting systems. This cost data drives proper ROI for your data pipelines, and helps budget new investments. The data team can also detect candidates for refactoring and cost reduction measures.
Product screenshot to show data observability as part of the unified dataops plane.

Observe

The platform provides detailed operational visibility with a single pane of glass, visualizing all processes in real-time. In addition to costs, the platform generates unique and deep metadata about data pipeline operations. Some of it is visualized in reports and charts directly in the Ascend UI. All of it is available via the SDK, and can be fed into logging and analysis tools.

Some customers actually use Ascend itself to process pipeline operations data, and generate insights about their intelligent data pipelines.

Product screenshot to show data observability as part of the unified dataops plane.

Ways to Get Started

Learn

Stay up to date with the team building the future of data pipeline automation.

Use

Are you a developer? Get started for free. No credit card required.

Talk

Do you lead a data team? Talk to a Field CTO about redirecting your team to accelerating value.