Product Release Notes: Real-Time Alerts for Apache Flink

We’ve had countless conversations with Flink users about the challenges of detecting and diagnosing issues in real time. The reality is, by the time data teams notice late records, discarded events, or performance bottlenecks, the damage is often already done – whether it’s lost revenue, operational disruptions, or frustrated teams relying on inaccurate data. That’s why we built Real-Time Alerts for Apache Flink. Our goal is simple: give data teams instant visibility into Flink job health and provide the fastest possible path to resolution.

What’s New?

Datorios now provides real-time monitoring and alerting on key Flink pipeline metrics, surfacing issues before they cause downstream failures.

• Prometheus Alerts – Get notified immediately when lateness, discarded records, or processing stalls occur.
• One-Click Investigation – Jump straight into State Analysis to pinpoint the root cause.
• Fix Fast – Adjust watermarks, scaling, or lateness policies before issues escalate.

With Real-Time Alerts, teams can detect, diagnose, and resolve Flink issues proactively – before they impact data quality and business operations.

Why This Matters

Observability in streaming data environments has always been a challenge. Most teams rely on logs, dashboards, or delayed anomaly detection – which means by the time an issue is noticed, it has already affected downstream consumers.

With Datorios Real-Time Alerts, you no longer have to:

• Sift through logs to figure out why your aggregations are wrong.
• Manually compare job metrics across multiple sources.
• React to complaints from other teams about missing or inaccurate data.

Instead, you get immediate insights into:

• Preventing Data Loss – Stop discarded events before they vanish.
• Ensuring Accuracy – Catch late records before they distort aggregations.
• Optimizing Performance – Identify slow operators before they crash your job.

Key Metrics We Monitor (So You Don’t Have To)

Datorios continuously tracks and alerts on critical Apache Flink metrics to provide deep visibility into your pipeline health, here are some of the metrics we track:

• Late Arrival Ratio (%) – Detect late records before they impact aggregations.
• Discarded Events Over Time – Monitor and prevent unexpected data loss.
• Input & Output Records per Operator – Identify slowdowns and throughput issues before they stall processing.
• Late Events Per Emit – Fix misconfigured windows before they skew results.
• State Size by Key – Identify unexpected growth of state with keh granularity.

By surfacing these insights in real time, teams can proactively address issues rather than reactively debug failures.

How to Get Started

Real-Time Alerts for Apache Flink is now generally available for all Datorios users.

If you’re ready to:

• Detect issues instantly instead of waiting for failures.
• Eliminate the guesswork from Flink troubleshooting.
• Keep your data accurate and your pipelines healthy.

Set up Real-Time Alerts today.

Let us know what you think, we’re excited to hear your feedback and continue improving real-time observability for Flink.