Prometheus insights

Server Unresponsiveness from High Load or Network Issuescritical

Nomad server becomes unresponsive with CLI commands hanging, Web UI failing to load, or API requests not processing, typically due to CPU/memory exhaustion or network connectivity problems.

When Kubecost cannot load or verify node pricing metrics (node_cpu_hourly_cost, node_ram_hourly_cost), cost allocation becomes inaccurate or fails entirely, leading to incomplete cost visibility.

Aggressive Dashboard Auto-Refresh Overloading Data Sourceswarning

Low dashboard refresh intervals (e.g., every 30 seconds or less) create unnecessary query load on data sources, degrading performance and potentially causing timeouts or errors, especially when querying long time ranges or high-cardinality data.

Cluster Unavailability Despite DB Console Accessibilitycritical

When cluster loses quorum, ranges become unavailable and queries fail, yet DB Console and Prometheus endpoint may remain accessible (served from unavailable node's cache). Operators can be misled by accessible monitoring showing stale data while cluster is actually down, delaying incident response.

AgentOps uses OpenTelemetry Collector for trace and metric ingestion. Under high agent load, the collector can experience backpressure (buffer overflow), leading to dropped traces or delayed metric delivery, especially if exporters to Supabase/ClickHouse are slow.

CockroachDB Range Unavailability Before Quorum Losscritical

CockroachDB ranges with fewer live replicas than needed for quorum (cockroachdb.ranges_replication_problem with unavailable ranges) indicate impending data unavailability. This is the critical pre-failure signal before queries start failing due to lost quorum.

Observability Blind Spots in Multi-Agent Tracescritical

Distributed agent architectures require trace correlation across multiple context windows and parallel execution paths. Without proper instrumentation, teams lose visibility into subagent activities, making root cause analysis impossible when investigations fail.

Application Health Degradation Undetected by ArgoCDwarning

ArgoCD reports applications as 'Healthy' even when serving errors or experiencing high latency because built-in health checks only verify Kubernetes resource readiness, not actual application behavior.

Ray Memory Limiter Shedding Under Traffic Spikescritical

OpenTelemetry collector processing Ray telemetry experiences OOMKills and restarts during traffic spikes when memory_limiter processor is not configured or placed incorrectly in pipeline.

JVM Heap Exhaustion Before Cassandra Node Failurecritical

Cassandra nodes running on the JVM can experience heap exhaustion where heap usage climbs to 80-90% and stays elevated without dropping after GC, leading to OutOfMemoryError or node instability. This manifests as timeout errors at the application layer before the node crashes.

Change Failure Rate Increase from Inadequate Pre-Production Testingcritical

Deployments to production fail or require rollback at a higher rate than expected, indicating gaps in pre-production testing coverage, environment parity issues, or insufficient deployment validation.