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Government / DefenseAssessmentOn-Premises

A clear picture of headroom, risk, and what breaks first

PS
Public Sector Agency

Overview

A public sector agency ran a Cassandra cluster inherited from a vendor engagement that had ended years earlier. Documentation was thin and the operating team had never been given a baseline. AceMQ assessed the cluster against its current workload and projected growth.

Challenge

Assessing an inherited cluster means separating deliberate design choices from accumulated accident. Replication factor and consistency levels needed checking against the durability the agency actually required, token distribution needed verification for hot spots, and JVM and garbage collection behavior needed measurement under real load rather than inference from settings.

Environment

On-premises Apache Cassandra cluster supporting case management and records retention workloads.

Approach

AceMQ collected evidence from the running cluster — token ownership, per-node load distribution, garbage collection pause distributions, compaction backlog, and pending task queues — and evaluated it against the agency's durability and availability requirements. Findings were ranked by how close each was to causing an incident.

Solution

  • Verified token ownership and per-node load distribution to identify hot spots and unbalanced nodes
  • Reviewed replication factor and consistency levels against the agency's actual durability requirements
  • Measured garbage collection pause distribution and heap behavior under production load
  • Assessed compaction backlog, pending tasks, and SSTable counts per table for accumulating debt
  • Evaluated repair coverage and completion history against gc_grace_seconds
  • Projected capacity headroom against growth and delivered a risk-ranked remediation roadmap

Outcome

The agency received a baseline it had never had, with the items nearest to causing an outage identified and sequenced. Several inherited configuration choices, including consistency levels that did not match the stated durability requirement, were corrected as a result.

Technologies

Apache CassandraLinuxPrometheusKubernetes

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