Java error tracking
Know when your Java app breaks, before your users do
Servlet 5+ and Spring MVC/Boot integrations report every unhandled request exception automatically. Self-hosted, so nothing about a Java app's errors or its users' data ever leaves infrastructure you control.
Install
<dependency>
<groupId>com.forgeops</groupId>
<artifactId>tracker</artifactId>
</dependency>
ForgeOpsTracker.init(config ->
config.setDsn("https://<api_key>@your-forgeops-host/api/v1/events"));
Servlet 5+ and Spring MVC/Boot integrations report every unhandled request exception automatically.
Every client reports the same shape
Wherever it comes from, an event arrives with an exception class, a message, and a backtrace, plus whatever environment/release/server context that client can gather on its own. ForgeOps fingerprints and groups on the first three, so a Java app's issues list works exactly the same way every other language's does: report the same bug a thousand times and it's still one row, not a thousand.
No agent, no sidecar: it's a plain HTTPS POST to your own ForgeOps instance's ingestion API, so nothing about a Java app's traffic ever leaves infrastructure you control.
Works with your framework
The Java client hooks in at the framework level, not by wrapping individual calls, so nothing about how you already write Java code has to change.
Servlet 5+
A javax.servlet.Filter catches anything that escapes your own handlers, container-agnostic.
Spring MVC / Boot
A @ControllerAdvice bean reports before Spring's own error page renders.
Plain JVM apps
Set an uncaught exception handler on your own threads for anything outside a servlet container.
What it looks like
The issue list
Every Java issue reported into a project shows up here: title, status, assignee, event count, and when it was last seen, the same columns as any other language's project.
The issue detail
Every occurrence keeps its own timestamp, environment, release, and server, plus the backtrace exactly as Java reported it, expandable per occurrence rather than flattened into one generic stack.
Alerting
A new Java issue, a regression, or a spike past a threshold you set can reach Slack, email, SMS, a voice call, or a generic webhook, configured per project, per trigger.
Heartbeats
For the failure mode error tracking can't see on its own: a Java cron job or recurring task that's supposed to run but silently stopped. Each heartbeat gets its own ping URL and its own grace period before it alerts.
Questions
Do I need to change how I already handle errors?
No. Every client hooks the framework's own exception handling directly, the same way the install snippet above shows -- your own logs, error pages, and rescue blocks keep working exactly as they did before. ForgeOps just also finds out about it.
Where does the data actually go?
Straight to your own ForgeOps instance over plain HTTPS. No agent, no sidecar, no third-party ingestion service in between -- nothing about your app's traffic or its users' data ever leaves infrastructure you control.
What happens if the same bug fires a thousand times?
It's fingerprinted from its exception class, message, and backtrace, so a thousand reports of the same bug still show up as one issue with an event count of 1,000, not a thousand separate rows to dig through.
Is anything scrubbed before it's stored?
Yes. Emails, credit card numbers, and known API key/token formats are redacted out of every event before it's even written, on every plan, with room for per-project custom field names on top of the defaults.