Product News

Alerting where it matters – Our integration with Datadog | Census

Jeff Sloan
Jeff Sloan March 03, 2023

Jeff is a Senior Data Community Advocate at Census, previously a Customer Data Architect and a Product Manager. Jeff has strong opinions on LEFT JOINs, data strategy, and the order in which you add onions and garlic to a hot pan. Based in New York City.

Introduction

Today, we’re excited to announce our new Datadog integration to help data teams guarantee the health of their business-critical pipelines.

Your data powers real customer interactions every minute, and deserves the same attention as production software. If anything unexpected happens, you need to know ASAP. 

Datadog is the central hub of your monitoring and alerting. With the Datadog + Census integration, you can create customized alerts and anomaly detection for all your reverse ETL syncs. Stay ahead of data surprises and sync with confidence with deeper visibility into all your data activation flows.

Empower business teams with fresh, reliable data

Reverse ETL is exciting because it syncs live data to your tools. Our customers use Census to power use cases like improving sales conversion rates by 10x and sending personalized messages to 100M+ users.

In other words, your reverse ETL pipelines create an implicit contract between your data and operational systems that data will continue to be trustworthy, high quality, and available. That’s why Datadog’s data quality monitoring is critical for every team.

While we already provide custom alerting in-app, plus a whole suite of observability features, the new Datadog integration enables users to set up even more granular monitoring customized to their business needs.

Ready to get started? 

Simply navigate to your workspace’s Settings > Integrations page, click on the Datadog Integration, and authenticate Census with your Datadog account (more details in our docs). This integration is available on Platform tier plans.

Examples and Use Cases

Keep an eye on your Census workspace’s health, alert on sync failures, and manage incidents in your data pipelines. Census will send metrics and events allowing you to track sync completion statuses and records processed by each ETL workflow. These events and metrics are:

Metrics

  • census.syncs.sync_completed - the number of syncs that have completed over a time window
  • census.syncs.rows_processed - the volume of rows processed in your syncs, useful for anomaly detection

Events

  • census.syncs.completed - this event allows for alerting and incident management flows if the sync fails, and includes the sync's failure reason.

Alongside each metric and event, Census sends a variety of tags to help you quickly identify which sync is experiencing an anomaly and why.

Monitoring

The Census Datadog integration launches with a recommended dashboard to observe the health of your data pipelines. To load this dashboard in your Datadog account, navigate to the Datadog Integration marketplace and “Install” the integration. Using this dashboard or your own creation, monitor for successful and unsuccessful sync runs, as well as records processed to every destination.

Datadog's approved partner integration dashboard for Census observability

Alerting

Create alerts in Datadog to notify your teammates when syncs begin to fail. With Datadog Monitors, you will always be the first to find out about an issue in your syncs, so you can resolve the issue quickly. Use monitor notification settings to loop in specific team members who have the skills and permissions to keep your pipelines healthy.

Incident Management and Troubleshooting

When issues arise, you need to act fast and keep your stakeholders informed. Datadog’s Incident Management feature allows you to rally your teammates and update them on incident progress. All of Census’s metrics and events come readily equipped with tags and metadata to help you quickly diagnose a problem, and navigate to the sync that requires your attention. In the Official Census Integration dashboard, you can even use navigation links from your reports like Failing Syncs to land directly back in the Census application without skipping a beat.

Wrapping up

Data stacks are getting more complex, chaining together several tools like Snowflake, Airflow, dbt, BI Tools, and more. You don’t need yet-another-dashboard in a SaaS product to understand how it’s functioning. You need a single place to identify anomalies, unify alerting, and triage issues. For many data teams today, that’s happening in Datadog.

If you need more detailed debugging information, you’ll find that Census provides a rich suite of additional observability – Sync Logs of every record success and failure, and API Inspector visibility into every API call to your destination services.

To get started today, navigate to your workspace’s Settings > Integrations page, click on the Datadog Integration, and authenticate Census with your Datadog account. For a full list of all events and metrics sent via the integration, please visit our documentation. 

With Datadog observability, you can activate your data warehouse and sync with confidence at any scale.

👉 Start a free trial or schedule an onboarding meeting today.

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For years, working with high-quality data in real time was an elusive goal for data teams. Two hurdles blocked real-time data activation on Snowflake from becoming a reality: Lack of low-latency data flows and transformation pipelines The compute cost of running queries at high frequency in order to provide real-time insights Today, we’re solving both of those challenges by partnering with Snowflake to support our real-time Live Syncs, which can be 100 times faster and 100 times cheaper to operate than traditional Reverse ETL. You can create a Live Sync using any Snowflake table (including Dynamic Tables) as a source, and sync data to over 200 business tools within seconds. We’re proud to offer the fastest Reverse ETL platform on the planet, and the only one capable of real-time activation with Snowflake. 👉 Luke Ambrosetti discusses Live Sync architecture in-depth on Snowflake’s Medium blog here. Real-Time Composable CDP with Snowflake Developed alongside Snowflake’s product team, we’re excited to enable the fastest-ever data activation on Snowflake. Today marks a massive paradigm shift in how quickly companies can leverage their first-party data to stay ahead of their competition. In the past, businesses had to implement their real-time use cases outside their Data Cloud by building a separate fast path, through hosted custom infrastructure and event buses, or piles of if-this-then-that no-code hacks — all with painful limitations such as lack of scalability, data silos, and low adaptability. Census Live Syncs were born to tear down the latency barrier that previously prevented companies from centralizing these integrations with all of their others. Census Live Syncs and Snowflake now combine to offer real-time CDP capabilities without having to abandon the Data Cloud. This Composable CDP approach transforms the Data Cloud infrastructure that companies already have into an engine that drives business growth and revenue, delivering huge cost savings and data-driven decisions without complex engineering. Together we’re enabling marketing and business teams to interact with customers at the moment of intent, deliver the most personalized recommendations, and update AI models with the freshest insights. Doing the Math: 100x Faster and 100x Cheaper There are two primary ways to use Census Live Syncs — through Snowflake Dynamic Tables, or directly through Snowflake Streams. Near real time: Dynamic Tables have a target lag of minimum 1 minute (as of March 2024). Real time: Live Syncs can operate off a Snowflake Stream directly to achieve true real-time activation in single-digit seconds. Using a real-world example, one of our customers was looking for real-time activation to personalize in-app content immediately. They replaced their previous hourly process with Census Live Syncs, achieving an end-to-end latency of <1 minute. They observed that Live Syncs are 144 times cheaper and 150 times faster than their previous Reverse ETL process. It’s rare to offer customers multiple orders of magnitude of improvement as part of a product release, but we did the math. Continuous Syncs (traditional Reverse ETL) Census Live Syncs Improvement Cost 24 hours = 24 Snowflake credits. 24 * $2 * 30 = $1440/month ⅙ of a credit per day. ⅙ * $2 * 30 = $10/month 144x Speed Transformation hourly job + 15 minutes for ETL = 75 minutes on average 30 seconds on average 150x Cost The previous method of lowest latency Reverse ETL, called Continuous Syncs, required a Snowflake compute platform to be live 24/7 in order to continuously detect changes. This was expensive and also wasteful for datasets that don’t change often. Assuming that one Snowflake credit is on average $2, traditional Reverse ETL costs 24 credits * $2 * 30 days = $1440 per month. Using Snowflake’s Streams to detect changes offers a huge saving in credits to detect changes, just 1/6th of a single credit in equivalent cost, lowering the cost to $10 per month. Speed Real-time activation also requires ETL and transformation workflows to be low latency. In this example, our customer needed real-time activation of an event that occurs 10 times per day. First, we reduced their ETL processing time to 1 second with our HTTP Request source. On the activation side, Live Syncs activate data with subsecond latency. 1 second HTTP Live Sync + 1 minute Dynamic Table refresh + 1 second Census Snowflake Live Sync = 1 minute end-to-end latency. This process can be even faster when using Live Syncs with a Snowflake Stream. For this customer, using Census Live Syncs on Snowflake was 144x cheaper and 150x faster than their previous Reverse ETL process How Live Syncs work It’s easy to set up a real-time workflow with Snowflake as a source in three steps: