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PagerDuty

Ryan Yackel
2022-10-21 11:36:28

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Slack

Ryan Yackel
2022-10-21 11:33:27

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Custom Integrations

Marco Alcaria
2022-10-07 09:42:16

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.

Email

Ryan Yackel
2022-10-05 11:39:33

Amazon MWAA + Databand.ai

Databand.ai’s instant integration to Amazon MWAA provides
comprehensive monitoring and observability into user pipelines.

What’s in it for you?

Integrate easily

Integrate with Databand’s Amazon MWAA connector to begin tracking MWAA metadata

Centralize pipeline metadata to track your data health

Track pipeline statuses, run durations, data volumes, and data quality metrics

Automatically alert on issues in pipelines and data sets

Analyze and alert on metadata anomalies or missing data, trace the root cause of pipeline failures, data quality problems, and the impact issues on your data deliveries

Extend with connections to additional AWS services

Integrate with more AWS tools like EMR, Redshift, and S3, to centralize additional logging and data quality information

Know what’s happening to your data while it’s in motion

Databand.ai makes it easy to integrate powerful preventative alerting into your Airflow environments and your organization. Get alerts on Airflow pipelines that are at risk for late deliveries due to long task duration, discover anomalies in your data volume, gain visibility into data quality issues like breaking changes to in dataset structure by your data sources that normally fly under the radar.

Best of all, Databand.ai makes it easy to push these notifications to Slack, OpsGenie, Pagerduty, or whatever other notification systems your data team uses.

Jump right into the root cause of data health issues

Drill beneath the surface of your Airflow environments and cut down on engineering’s Time-to-Remediation.

When Databand.ai sends you an alert, clicking brings you right where the incident occurs so you can begin to get context on the root cause. Databand.ai makes it easy to see all the relevant information you’ll need to resolve the issue. View your pipeline inputs and outputs, error traces, logs, data source, parameters, xcoms, and user metrics in one easy-to-use Dashboard.

Get a bird’s eye view of all your Airflow instances

With Databand.ai, all of your Airflow observability activities can live in one place.

The Databand Dashboard makes it easy to highlight all the important metrics for all of your high-stakes Airflow DAGs. Visualizations and charts of your critical data assets allow you to see whether pipeline metrics are in the right ranges and Airflow throughput is on schedule for delivery.

FAQs

No, this integration is built into the platform at no extra cost.

It’s actually super quick! You can integrate Databand.ai to your Airflow environments with just one click. If you would like to learn more about how the integration works, please read our documentation on this integration.

Getting started is easy. First, you start your free trial or schedule a product demo. From there, the Solutions Architect team will advise you how to customize the platform to best suit your needs.

Fix Data Incidents Fast

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Lorem dolor ac dolor risus, leo. Volutpat tellus massa elit a viverra vitae. Tellus tempor velit, cursus nisl odio.