CloudWatch dashboards for AWS Glue Job monitoring

Introduction

Are you struggling to identify performance bottlenecks in your AWS Glue jobs? Many organizations process vast amounts of data through AWS Glue but lack proper visibility into job performance, resource utilization, and error patterns. Without comprehensive monitoring, you might miss critical issues that impact your ETL pipelines.

These dashboards help you monitor 24-56 essential metrics, optimize resource allocation, and quickly troubleshoot issues.

Solution overview

The monitoring solution consists of three complementary dashboards:

• Job Dashboard - Core performance monitoring with 24 essential metrics (works with all AWS Glue versions)
• Observability Dashboard - Advanced analytics with 32 specialized metrics (requires AWS Glue 4.0+)
• Comprehensive Dashboard - Combined view with all 56 metrics for complete visibility

Each dashboard serves specific monitoring needs and can be deployed independently based on your requirements.

Prerequisites

Before you begin, ensure you have the following:

• An AWS account with appropriate permissions
• AWS Command Line Interface (AWS CLI) installed and configured
• AWS CloudFormation deployment permissions
• AWS Glue jobs with metrics enabled
• Basic familiarity with Amazon CloudWatch

Dashboard 1: Job Dashboard for core performance monitoring

The Job Dashboard focuses on essential AWS Glue job metrics that work across all AWS Glue versions. It provides real-time insights into data processing performance, resource management, and system health.

Key features

• Data processing performance - Track bytes read, records processed, and execution duration
• Resource management - Monitor storage utilization, executor allocation, and capacity planning
• JVM memory health - Analyze heap usage patterns and memory consumption
• Amazon S3 transfer performance - Monitor data ingestion and output operations
• Streaming analytics - Real-time metrics for AWS Glue 2.0+ streaming jobs
• System performance - CPU load distribution across driver and executors

Critical metrics explained

Data ingestion volume: Tracks glue.driver.aggregate.bytesRead and glue.driver.aggregate.recordsRead to monitor the volume of data being processed. High values indicate large-scale data operations, while sudden drops might signal data source issues.

Job execution duration: Monitors glue.driver.aggregate.elapsedTime to track how long jobs take to complete. This metric is crucial for SLA monitoring and identifying performance degradation over time.

Task failure analysis: Tracks glue.driver.aggregate.numFailedTasks and glue.driver.aggregate.numKilledTasks to identify reliability issues. Any non-zero values require immediate investigation.

Dashboard 2: Observability Dashboard for advanced analytics

The Observability Dashboard leverages AWS Glue 4.0+ advanced metrics to provide deep insights into job performance patterns, error analysis, and resource optimization opportunities.

Advanced features

• Skewness analysis - Identify data distribution imbalances affecting performance
• Error categorization - Comprehensive error tracking with 9 distinct error types
• Worker efficiency - Monitor utilization rates and optimization opportunities
• Advanced memory analytics - Detailed heap vs non-heap memory analysis
• Disk management - Track storage usage patterns and capacity planning

Key observability metrics

Job skewness: The glue.driver.skewness.job metric identifies data distribution imbalances.

Worker utilization: glue.driver.workerUtilization shows how efficiently your workers are being used. Values below 50% suggest over-provisioning, while values above 90% may indicate resource constraints.

Error categories: Tracks specific error types including:

• OUTOFMEMORY_ERROR - Memory allocation failures
• PERMISSION_ERROR - IAM or access-related issues
• THROTTLING_ERROR - Service limit constraints
• CONNECTION_ERROR - Network connectivity problems

Dashboard 3: Comprehensive Dashboard for complete monitoring

The Comprehensive Dashboard combines both job and observability metrics into a single view, providing the most complete monitoring solution available.

Unified monitoring benefits

• Complete visibility - All 56 metrics in one dashboard
• Cross-reference analysis - Compare job metrics with observability insights
• Comprehensive troubleshooting - Full context for performance issues
• Structured navigation - Organized sections for efficient monitoring

Dashboard metrics examples

The following screenshots demonstrate how the metrics appear in the actual CloudWatch dashboards, providing visual examples of the monitoring capabilities:

Figure 1: Driver Aggregate Metrics from the Job Metric Section showing data ingestion volume, job execution duration, and progress tracking. These core performance metrics provide immediate visibility into job performance and help identify processing bottlenecks.

Figure 2: Resource Management metrics from the Job Metric Section displaying worker utilization efficiency, memory usage patterns, and disk space management. These advanced metrics help optimize resource allocation and identify capacity planning opportunities.

Figure 3: Streaming Analytics section showing real-time record throughput and micro-batch latency metrics. These metrics are essential for monitoring AWS Glue 2.0+ streaming jobs and ensuring optimal real-time data processing performance.

Deployment guide

Quick deployment

The following AWS CLI commands deploy each dashboard type:

Download the cloudformation template : glue-dashboards-unified-cfn.yaml

# Deploy Job Dashboard
PROMPT> aws cloudformation deploy \
  --template-file glue-dashboards-unified-cfn.yaml \
  --stack-name glue-job-dashboard \
  --parameter-overrides DashboardType=Job DashboardName=MyGlueJobDashboard

# Deploy Observability Dashboard (requires AWS Glue 4.0+)
PROMPT> aws cloudformation deploy \
  --template-file glue-dashboards-unified-cfn.yaml \
  --stack-name glue-observability-dashboard \
  --parameter-overrides DashboardType=observability DashboardName=MyGlueObservabilityDashboard

# Deploy Comprehensive Dashboard
PROMPT> aws cloudformation deploy \
  --template-file glue-dashboards-unified-cfn.yaml \
  --stack-name glue-comprehensive-dashboard \
  --parameter-overrides DashboardType=comprehensive DashboardName=MyGlueComprehensiveDashboard

Configuration parameters

Parameter	Description	Default	Options
DashboardType	Type of dashboard to deploy	Job	Job, observability, comprehensive
DashboardName	Name for the CloudWatch Dashboard	AWS-Glue-Dashboard	Any valid dashboard name
DefaultJobName	Default job name for filtering	my-glue-job	Your AWS Glue job name
DefaultJobRunId	Default job run ID	ALL	Specific run ID or ALL

Monitoring best practices

Performance optimization

• Monitor memory usage - Keep heap usage below 80% to prevent out-of-memory errors
• Track skewness - The values of this metric falls into the range of [0, infinity], where 0 means the ratio of the maximum to median tasks' execution time, among all tasks in the stage is less than a certain stage skewness factor. The default stage skewness factor is 5 and it can be overwritten via spark conf: spark.metrics.conf.driver.source.glue.jobPerformance.skewnessFactor
• Watch worker utilization - Maintain 60-80% utilization for optimal cost-efficiency
• Analyze task failures - Any failures require immediate investigation

Supported features

Variable support

All dashboards support dynamic filtering through CloudWatch variables:

• Job Name - Filter metrics by specific AWS Glue job
• Job Run ID - Focus on specific job runs or use "ALL" for aggregated view

Metric categories

Job Dashboard (24 metrics):

• Data Processing: 9 metrics
• Resource Management: 3 metrics
• Memory Health: 4 metrics
• Amazon S3 Performance: 4 metrics
• Streaming Analytics: 2 metrics
• System Performance: 2 metrics

Observability Dashboard (32 metrics):

• Performance Analysis: 2 metrics
• Error Analytics: 9 metrics
• Resource Utilization: 14 metrics
• Throughput Analytics: 7 metrics

Dashboard costs

Each dashboard costs approximately $3 per month for standard usage.

Cleaning up

To avoid incurring future charges, delete the CloudWatch dashboards if you no longer need them:

PROMPT> aws cloudformation delete-stack --stack-name glue-job-dashboard
PROMPT> aws cloudformation delete-stack --stack-name glue-observability-dashboard
PROMPT> aws cloudformation delete-stack --stack-name glue-comprehensive-dashboard

Conclusion

In this post, I showed you how to implement comprehensive AWS Glue monitoring dashboards that provide unprecedented visibility into your ETL operations. Whether you need basic job monitoring, advanced observability analytics, or complete comprehensive coverage, this solution scales to meet your monitoring requirements.

Start with the Job Dashboard for immediate value, then expand to Observability or Comprehensive dashboards as needed. Have you implemented similar monitoring solutions? Let us know your thoughts in the comments section.

To learn more about AWS Glue monitoring, check out the AWS Glue Job Metrics documentation. For more information about CloudWatch dashboards, see the CloudWatch Dashboard documentation. You can also explore the AWS Glue Observability Metrics Reference for detailed metric descriptions.