This update allows organizations to move beyond reactive troubleshooting by providing a live, continuous pulse of their data ecosystem. By delivering instant visibility into infrastructure, services, and active workloads, RTM ensures that your platform remains healthy, performant, and reliable.
Eliminate Blind Spots with Proactive Visibility
In high-scale data environments, even a few minutes of downtime or a runaway query can derail critical business operations. RTM addresses this by monitoring three core areas:
Cluster Infrastructure: Track the health of your underlying hardware and cloud resources (e.g., CPU, memory, and disk I/O) to spot resource exhaustion before it triggers a crash.
Service Health: Monitor the uptime and performance of vital services like Hive, Impala, and Spark in real time.
Workload Performance: Identify failing jobs or deviating queries as they happen, allowing for immediate intervention to prevent cascading failures across the cluster.
Key Benefits:
Proactive Mitigation: Shift from "fixing what broke" to "preventing the break" by detecting deviations from normal baseline behavior instantly.
Unified SaaS Experience: Access deep, real-time insights across hybrid and multi-cloud environments from a single, centralized dashboard.
Optimized SLAs: Maintain high availability for mission-critical applications by reducing Mean Time to Detection (MTTD) and Resolution (MTTR).
Resource Efficiency: Identify and kill "rogue" processes that are consuming capacity before they impact other users.
Use Cases
Optimize Capacity Planning: Analyze average cluster usage at any given time to identify available capacity and efficiently schedule new jobs or queries.
Monitor Health in Real-Time: Monitor the uptime and performance of vital services like Hive, Impala, and Spark in real time.
Manage Workload Performance: Real-time tracking of Hive, Impala, Spark, MR and Oozie workloads. Instead of waiting for a query to finish to see why it was slow, you can now identify bottlenecks while the query is executing.
Track Granular Infrastructure Metrics: Monitor system telemetry at the node level, including CPU, memory, network, and storage to identify CPU spikes, memory quota issues etc
Improved Financial Governance: By integrating real-time data with financial governance, customers can precisely track provisioned versus utilized costs. This eliminates over-provisioning and optimizes cloud spend through more accurate capacity forecasting.
The Bottom Line: Real-time monitoring enables Cloudera Observability to provide a live view of your platform, helping you safeguard your data platform's current state and proactively avoid workload failures.
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