JAVA APPLICATION PERFORMANCE MONITORING

Every Transaction.
Fully Diagnosed.

Distributed tracing, JVM diagnostics and database intelligence in one Java agent — with tenant-aware traces, an AI-driven query tuning advisor, and zero-touch Kubernetes injection that New Relic doesn't ship out of the box.

Get Early Access See vs. New Relic →
dynaperf · agent · trace detail
trace 019f262f · tenant=acme-prod · web · 842ms
jdbc query: [testdb.public]=>/* dynamic */ ... t.id => 2,164 rows
⚠ connection pool leak detected — hikari-cp-2 held 47s past threshold
→ Query tuning advisor: composite index cuts cost 94% (ranked #1 of 3 candidates)
✓ K8s pod auto-instrumented — zero manifest edits, webhook injection
Analysis complete. 1 leak flagged · 1 index recommendation · tenant-filtered

Built for Production Java.
Verified in Our Own Agent.

Every capability below is a shipped, working feature in the Dynaperf agent codebase — not a roadmap slide.

🔍
Tracing & Query Intelligence
Every JDBC, Hibernate and Redis call rendered inline with full query text — no drill-down required.
  • Full query text + bind variables + rows affected, per trace entry
  • Flame graphs & on-demand thread/CPU profiling
  • Slow-query stack trace capture (configurable threshold)
  • AI-driven query tuning advisor — cost-ranked index & rewrite candidates
  • Table health checks — bloat, dead tuples, missing indexes
🏢
Multi-Tenant Observability
Know which tenant is behind every trace and every slow query — automatically, out of the box.
  • Automatic tenant tagging on traces (config-driven, zero code changes)
  • Tenant-filterable trace list
  • Seeded Viewer / Admin RBAC roles + forced password reset
  • LDAP authentication
⚙️
Pool & Resource Intelligence
Thread pools and connection pools, discovered and charted without touching a config file.
  • Auto-discovery of thread & connection pools
  • Utilization % charts for multiple pools, busy vs. max
  • Configurable JDBC connection pool leak detection
  • Custom gauges from any discovered MBean attribute
☸️
Kubernetes-Native Deployment
Inject the agent across a whole cluster without editing a single manifest.
  • Mutating admission webhook — zero-touch injection
  • Pod metrics — CPU throttling, cgroup v1/v2 aware
  • Self-hosted / fully offline embedded mode
  • Pod → node → namespace → cluster rollup hierarchy

Deeper Java Diagnostics
Than New Relic, Out of the Box

Verified against our own agent codebase — every row below reflects a shipped, working capability, not a roadmap item.

Capability New Relic Dynaperf
Tracing & Diagnostics
Distributed request tracing (flame graphs, span timing, P50/P95/P99)
Full query text + bind variables + rows affected, inline per trace entry obfuscated by default Unique
Slow-query stack trace capture (configurable threshold)
Trace-detail timeline correlated with JVM/pod/host metrics on the same screen separate dashboards Unique
Thread/CPU profiling on demand
Database & Query Intelligence
AI-driven query tuning advisor (index candidates + rewrites, ranked by cost reduction) Unique
Table health checks (bloat, dead tuples, missing indexes) Unique
Avg rows returned in aggregated query stats
JDBC connection pool leak detection (configurable) Unique
Multi-Tenancy & Access
Automatic tenant tagging on traces (config-driven, no code changes) manual NRQL faceting Unique
Tenant-filterable trace list Unique
Multi-tenant RBAC (seeded Viewer/Admin roles, forced password reset)
LDAP authentication
Pools, Gauges & Infrastructure
Thread pool utilization % charts (multiple pools, busy vs. max) custom dashboard req'd
Connection pool utilization % charts (multiple pools) custom dashboard req'd
Auto-discovery of thread & connection pools (zero manual config) timing only
Custom gauges from any discovered MBean attribute
Thread CPU / Process CPU / Process Mem, out of the box
Platform & Deployment
Kubernetes zero-touch injection (mutating admission webhook, no manifest edits) sidecar config req'd Unique
K8s pod metrics (CPU throttling, cgroup v1/v2)
Self-hosted / fully offline embedded mode (no SaaS dependency) SaaS-only Unique
Anomaly detection & dynamic baselines
Synthetic monitoring (multi-location HTTP checks)
Alert routing (Slack, PagerDuty, HealthChecks.io, email, webhook)
Where New Relic Leads
Browser / RUM monitoring
Mobile agent SDKs
OpenTelemetry / OTLP ingestion proprietary protobuf
Formal SLO management UI alert thresholds only

Deep Java & APM
Performance Expertise

Beyond the platform — hands-on consulting from engineers who've tuned distributed Java systems in production.

🔍
APM Health Assessment
Deep-dive into your tracing coverage, JVM tuning, pool sizing and query performance. Full report delivered.
🚑
Emergency Triage
Production incident? Same-day response from senior engineers who live in flame graphs and heap dumps.
🔄
APM Migration
Migrating off New Relic, Dynatrace or Datadog APM? We handle agent rollout and dashboard parity end to end.
🏗️
Architecture Review
Service topology, connection pool sizing, and Kubernetes deployment review for scale.
📊
Capacity Planning
Data-driven growth forecasting, JVM fleet sizing and cloud instance recommendation for your workload.
🎓
Engineering Training
Hands-on distributed tracing and JVM performance workshops for your engineering team.
Why Dynaperf Consulting
25+
Years of hands-on Java/JVM performance engineering
28
Out-of-the-box instrumentation plugins — JDBC, Kafka, Redis, Spring & more
100s
Production APM rollouts delivered on-site
Zero
Cookie-cutter reports — every engagement is custom
Talk to an Expert →

Simple, Transparent
Pricing

Per database instance. No per-user fees. No data egress charges. Cancel anytime.

Starter
$99/mo
For teams getting started with Java APM.
  • 1 monitored application (JVM)
  • Distributed tracing + flame graphs
  • JDBC, Redis & top 5 plugins
  • 7-day trace history
  • Basic anomaly alerts
Get Started
Enterprise
Custom
For organizations with large JVM fleets, compliance requirements or self-hosted needs.
  • Unlimited monitored applications
  • Self-hosted / embedded deployment
  • 1-year trace history
  • SSO / SAML / LDAP
  • SLA guarantee
  • Dedicated support engineer
  • Consulting hours included
Contact Sales

Be First in Line

Dynaperf APM launching Q3 2026. Join the waitlist for early access, founding pricing and direct input into the product roadmap.

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