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JavaadvanceddevopsAI generated

Log Aggregation & Anomaly Alerting Tool

A Java devops tool that tails multiple application log files concurrently, parses structured log entries, detects anomalous spikes in error rates, and sends alerts. Learners practice multi-threaded file tailing, regex parsing at scale, and simple anomaly-detection heuristics.

Estimate
~11h
Steps
6
Completed by
0
Proposed by
codeseed.app

Java Threads · Regex · java.nio.file.WatchService

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Project roadmap

  1. 01

    Watch log files

    ~2h

    Use WatchService to detect new lines appended to each watched log file.

  2. 02

    Parse log entries

    ~1.5h

    Parse raw log lines into structured entries with timestamp, level, and message using regex.

  3. 03

    Tail files concurrently

    ~2h

    Run a tailer per log file concurrently using a thread pool.

  4. 04

    Detect anomalies

    ~2.5h

    Implement a sliding-window error-rate calculation that flags unusual spikes.

  5. 05

    Send alerts

    ~1.5h

    Send an email or webhook alert whenever the error-rate threshold is exceeded.

  6. 06

    Add a summary dashboard

    ~1.5h

    Print a periodic console summary of log volume and error rates across all watched files.

Resources

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~11h · 6 steps

Tech stack

Java ThreadsRegexjava.nio.file.WatchService