Technologies/Apache Flink/flink_jobmanager_job_restarts
Apache FlinkApache FlinkMetric

flink_jobmanager_job_restarts

The total number of restarts since this job was submitted, including full restarts and fine-grained restarts
Dimensions:None
Available on:DatadogDatadog (1)
Interface Metrics (1)
DatadogDatadog
The total number of restarts since this job was submitted, including full restarts and fine-grained restarts
Dimensions:None
Knowledge Base (10 documents, 0 chunks)
referenceMetrics and dimensions in Managed Service for Apache Flink - Managed Service for Apache Flink2465 wordsscore: 0.95Official AWS documentation for Managed Service for Apache Flink (Amazon MSF) metrics and dimensions. Provides comprehensive reference of application metrics, including CPU, memory, checkpoint, watermark, and backpressure metrics that are reported to Amazon CloudWatch for monitoring Flink applications.
troubleshootingFlink JobManager dies due to checkpoint failures - Stack Overflow762 wordsscore: 0.72This Stack Overflow discussion addresses JobManager failures caused by checkpoint exceptions after upgrading from Flink 1.9.0 to 1.11.1. The issue involves FileAlreadyExistsException when reusing fixed job IDs without HA, and discusses checkpoint recovery behavior and the necessity of HA for JobManager failure tolerance.
documentationApache Flink 1.11 Documentation: Monitoring Checkpointing1331 wordsscore: 0.95Official Apache Flink documentation page covering checkpoint monitoring through the web UI. Details the four monitoring tabs (Overview, History, Summary, Configuration) with comprehensive statistics about checkpoint counts, status, timing, data sizes, and alignment buffering.
best practicesBest practices for monitoring and alerting - Realtime Compute for Apache Flink - Alibaba Cloud Documentation Center1247 wordsscore: 0.95Comprehensive guide for monitoring and alerting on Apache Flink jobs running on Alibaba Cloud. Covers key metrics for job health, stability, data timeliness, and resource performance with specific alert thresholds and remediation steps.
troubleshootingApplication is restarting - Managed Service for Apache Flink1016 wordsscore: 0.85This AWS documentation page provides troubleshooting guidance for Apache Flink applications that are repeatedly restarting or failing. It covers symptoms, root causes, and solutions for unstable applications, including how to use CloudWatch metrics like FullRestarts and Downtime to diagnose issues.
documentationApache Flink 1.7 Documentation: Monitoring Checkpointing1177 wordsscore: 0.95Official Apache Flink 1.7 documentation page describing the web interface for monitoring checkpoints. Covers checkpoint statistics, history tracking, configuration parameters, and detailed metrics available through the UI including checkpoint counts, durations, state sizes, and alignment buffering.
documentationFault Tolerance | Apache Flink1053 wordsscore: 0.72This documentation covers Apache Flink's fault tolerance mechanisms through state snapshots, including state backends (RocksDB and heap-based), checkpoint storage options, and exactly-once processing guarantees. It explains how Flink uses asynchronous barrier snapshotting based on the Chandy-Lamport algorithm to create consistent snapshots for recovery.
documentationOptimizing Flink job restart times for task recovery and scaling operations with Amazon EMR on EKS - Amazon EMR1722 wordsscore: 0.75This AWS documentation page describes optimization techniques for Flink job restart times during task recovery and scaling operations on Amazon EMR on EKS. It covers task-local recovery, EBS volume mounting, incremental checkpointing, and fine-grained recovery mechanisms to reduce recovery time from minutes to seconds.
troubleshootingjava - Flink 1.16 Restart Strategy working fine, but losing the messages when entire job manager restarting - Stack Overflow522 wordsscore: 0.55A Stack Overflow discussion about Apache Flink job restart behavior and message loss during JobManager restarts. The question concerns restart strategies and checkpointing, with answers explaining fault tolerance mechanisms, checkpoint storage options, and high availability setup requirements.
best practicesMonitoring Apache Flink Applications 1012666 wordsscore: 0.95This blog post provides comprehensive guidance on monitoring Apache Flink applications, covering the built-in metrics system, key metrics to track for health, progress, throughput, and latency. It includes specific metric names, dashboard examples, and recommended alerts for production deployments.
Related Insights (1)
Job Restart Stormcritical

Frequent job restarts indicate systemic instability from resource exhaustion, external dependency failures, or configuration issues, compounding into extended downtime.