AWS Managed Workflows for Apache Airflow (MWAA)
Achieve full observability of Airflow environments with monitoring for DAG status, task failures, execution times, and resource utilization to ensure pipeline reliability and optimize execution performance.
AWS Redshift (Cluster & Serverless)
Optimize data warehouse performance by tracking query execution, WLM queues, disk usage, CPU metrics, and cluster availability, with instant alerts for slow queries and storage issues.
Amazon Bedrock
Monitor Bedrock agents and model invocations with real-time insights into token usage, cost metrics, request latencies, and service behavior to ensure fast issue resolution.
Azure Data Factory
Gain real-time visibility into ETL/ELT pipelines by monitoring pipeline runs, activity performance, and failure rates to rapidly address data integration problems.
Azure Synapse Analytics
Maintain high-performance analytics by tracking dedicated SQL pool health, Spark job execution, and orchestration pipelines across large-scale data environments.
Google Cloud Vertex AI
Observe model training, infrastructure usage, endpoint availability, and prediction latencies to ensure consistent AI workload performance and reliability.