Say goodbye to alert fatigue: Introducing Matia’s Issues & Notifications

Every data team knows the pain. Your dashboard breaks. You get a flood of alerts, but figuring out what actually went wrong is oftentimes like finding a needle in a haystack. Was it an integration failure? A bad schema change? A permission issue?

With Matia’s newest release, we’re bringing the answers to you. Introducing Issues, a new view and section that surfaces platform errors. To ensure that these (you guessed it) issues are responded to promptly. Issues come with near-real time slack notifications and granular events tracking.

 Any errors or issues for integrations (both ETL & Reverse ETL), data quality abnormalities, or catalog errors clearly categorized and actionable, in one centralized view in the platform and optionally via Slack notifications.

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A deep dive into Issues

Data issues don’t happen in isolation—they’re part of a bigger story, and Matia’s new Issues view helps you see the full picture. 

When we set out to build the world’s best unified DataOps platform it wasn’t just about consolidating every-day data management and monitoring. We envisioned a single pane of glass through which even on ‘bad days’ one will be able to see all ongoing problems affecting the data organization.

Instead of jumping between tools trying to make sense of what is happening, Matia Issues provides users with a centralized dashboard that highlights the most critical platform-wide anomalies in one place. Whether it’s integration failures (like schema changes or rejected records in Reverse ETL), observability anomalies (such as a data quality monitor breach or stale data), or catalog issues (like asset connectivity gaps or permission mismatches), Matia surfaces all these issues in real time so you can diagnose and resolve them faster.

Notifications: Slack alerts that actually matter & standalone events

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Alerting data teams in the tool they use should be second nature. That’s why we’re bringing that capability directly to slack. 

With Slack-integrated alerts, you can:

• Update issue statuses directly from Slack. No need to login to the platform
• Get notified of schema changes, integration failures, and observability anomalies without digging through logs
• Reduce noise with context-aware alerts so you focus on what actually needs attention

When we spoke to customers, one pain that came up was that some other observability solution lacked detailed information in their slack notifications. With Matia’s slack notifications, we’re actually telling you what’s wrong, and providing suggestions on how to remedy it.

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Another thing that sets Matia’s Notifications apart is the level of granularity and control you have when it comes to alerts. You can receive alerts for standalone custom monitors or high-priority integrations in just a few simple clicks.

Let’s see this in action. Let’s say you’re a data engineer and you work at an e-commerce company that is rolling out a new discount code, with multiple data pipelines feeding your Snowflake warehouse. The marketing team relies on daily dashboards to track revenue and conversions. When an engineer adds a DISCOUNT_CODE column to the sales table, it unknowingly breaks a downstream ETL job. This causes the revenue dashboard to underreport because the pipeline fails to process certain transactions, either dropping affected rows or breaking a critical join. The marketing team is probably pinging their analyst, who is reaching out to you to try and figure out what’s wrong. Is this discount code campaign a bust or is there a problem? If there had been a notification triggered on the schema change, the team would have known in advance it was not the campaign, avoiding a stakeholder shuffle to try and explain performance.

The platform advantage

While many of these capabilities aren’t novel by themselves, what separates Matia from the pack - aside from the schema alerts -  is the ability to have this all in one platform.

“Matia cut our incident resolution time in half. Instead of digging through logs, our team sees integration failures, catalog issues, and schema changes in the same platform we’re doing ETL.” - Felipe Veloso, Data Architect, Solvento

Not only do data engineers and other users get to skip spending time integrating ETL platforms with Observability, but they also get deeper functionality because of the integrated platform. Instead of getting an issue flag or data quality alert in your observability tool, and an integration failure alert in your ETL platform, you get it in one platform, with the details you actually need to resolve it.

If you’re interested in taking Matia’s new capabilities for a test drive, please reach out for a free trial and explore the power of a unified DataOps platform. Customers can learn more about issues and notifications here.