Acceldata's compute observability empowers you to reach operational excellence within your Hadoop ecosystems. Benefit from heightened stability, scalability, reliability, advanced monitoring, self-healing capabilities, and optimal performance all while reducing TCO and MTTR across diverse distributions.
Request DemoNode hot spotting edge nodes inclusive
Capacity Planning
JVM tracker
Resource optimisation
Throughput analysis
Alerting H/W failures
System Telemetry
Centralized Log view
Service level Observability support
Chargeback reporting
Distro-independent along with multi-cluster support including standalone NIFI, SPARK, KAFKA
Advanced alerting
Dashboard Studio Builder
Event or schedule based automated self-healing with Actions
Runtime configuration recommendations using simulation
Query Anomaly detection
Resource wastage and skewness identification for tasks
App Fingerprinting
Benchmarking and heuristic trend
Resource Optimizer
Bottleneck Analysis
Error categorization
Log troubleshooting
Storage & Compute footprinting
Scheduled report on small & unused files
Usage pattern insights
Anomaly on table storage patterns
Top N report on tables/columns usage and efficiency
Partitioning & Bucketing design
PhonePe uses Acceldata to scale open-source data platform by 10x