Datadog APM | Datadog

Find Root Causes Faster with Thread-Level Distributed Tracing

Easily detect bottlenecks in your Java code, down to the method or line level, including inefficient garbage collection, slow database queries, and high I/O latency.
Identify root causes quickly with traces automatically correlated with your logs, JVM metrics, database queries, third-party API latency, and frontend telemetry—all in one view.
Filter and analyze traces using trace-level attributes, service relationships, endpoints, and other properties, all without needing to learn a complex query language.
Monitor Java applications instrumented with OpenTelemetry (OTel) APIs and Collector, within the Datadog Agent for full interoperability.

Search and analyze traces from your Java apps live within the last 15 minutes.
Retain errors and high latency traces automatically for 15 days.
Fine-tune cost-visibility tradeoffs with fine-grained ingestion controls and tag-based retention filters.

Expedite debugging of production issues with granular insights into your Java code’s runtime behavior and service interactions by adding log statements without changing code.
Add spans to troubleshoot slow requests and specific operations in your Java services without leaving the Datadog platform.
Create metrics on the fly that measure the time any method in your code is consuming in production, and use metric expressions to focus on specific requests.

Detect the most resource-consuming methods or classes in your applications in seconds with a lightweight, next-generation profiler that’s easy-to-use and always-on.
Address complex Java threading challenges like thread contention and deadlocks with detailed performance breakdowns.
Determine the root cause of code issues with a breakdown of time spent by method on CPU, garbage collection, lock contention, and I/O; improve CPU utilization, memory allocation, and user latency.
Surface runtime issues such as inefficient garbage collection, memory leaks, and deadlocked threads to improve performance and reduce downtime.

Follow issues over time to know when they first started, if they are still ongoing, and how often they occur with Error Tracking
Compare application performance and impact across hosts, versions, and time ranges during rolling, canary, blue/green, or shadow deploys
Quickly troubleshoot faulty deployments with automatic faulty deployment detection and decide whether to roll back or ship a fix

Achieve end-to-end service ownership at scale, get real-time performance insights, detect and address reliability and security risks, and manage application dependencies all in one place
Get RED metrics based on 100% of traffic with 15-month retention so you can search, analyze, and visualize any trace using any tag
Automatically discover, catalog, and monitor services—no instrumentation code changes necessary—with Universal Service Monitoring
Reduce mean time to detection through automatic dependency mapping, powered by eBPF technology

Track your security posture easily with out-of-the-box threat activity, exposure, and vulnerabilities ratings captured in the Datadog Severity Score
Triage vulnerability impact in full context with continuous runtime scans across open source libraries
Remediate issues with out-of-the-box actionable guidance and automatic correlation between your application and infrastructure
Quickly discover code vulnerabilities and attack attempts in your Java, .NET, PHP, Node.js, Ruby, Python, Go, and C++ applications

Set up recommended alerts with 1 click for anomalies and outliers that account for daily, weekly, and seasonal fluctuations
Proactively prevent outages and errors in the future by alerting on metric forecasts
Combine alerts into composite alerts for greater granularity and stronger signal to reduce the noise
Automatically detect unanticipated outliers, anomalies, and errors with Watchdog