EPIC: Automating Jenkins Server Log Analysis

**Summary**

Create a tool that ingests Jenkins controller logs, automatically identifies and prioritises significant events, generates concise summaries, and leverages AI/LLMs to analyse failures and provide actionable remediation recommendations.

The primary focus is the Jenkins controller log as the authoritative source of operational events. Where beneficial, the tool may optionally ingest and correlate relevant operating system logs from the Jenkins controller host to provide additional context during incident investigations.

The goal is to reduce the time required to diagnose Jenkins issues by transforming large volumes of controller log data into structured insights, prioritised events, and guided troubleshooting recommendations.

**Problem Statement**

Jenkins controller logs contain a wealth of operational information, including:

Plugin loading and initialisation
Agent connection and disconnection events
Build scheduling and execution events
Authentication and authorisation failures
Network and communication issues
JVM exceptions and stack traces
Jenkins core and plugin errors
System warnings and performance indicators

When investigating incidents, engineers often need to:

Search through large controller logs manually.
Correlate events occurring before and after a failure.
Distinguish root-cause events from secondary symptoms.
Understand whether a problem originates from Jenkins core, plugins, agents, infrastructure, networking, storage, or authentication systems.
Review additional Linux system logs when controller logs alone do not provide sufficient context.

This process is time-consuming and often requires deep Jenkins expertise.

**Objectives:**

Jenkins Controller Log Ingestion
Ingest Jenkins controller logs.
Support historical log files.
Support compressed and rotated log files where necessary.
Preserve timestamps and event ordering.
Optional System Context

> Optional : Where required or necessary allow ingestion of relevant Linux system logs from the Jenkins controller host, including:
>
> systemd journal
> kernel messages
> authentication logs
> service logs
> storage and filesystem events
> network-related events
> These logs should only be used to provide supporting context for Jenkins-related investigations.

**Key Steps:**

Ingest Logs
Event Extraction
Parse logs into structured events.
Extract exceptions and stack traces.
Identify warnings, errors, and significant lifecycle events.
Categorise events into meaningful operational groups.

**Example categories:**

Jenkins Core
Plugins
Agents
Authentication
Networking
Storage
JVM
Security
Build Execution

Prioritise & Filter Events Based On Configurable Rules

**Event Prioritisation**

Classify events according to severity and operational impact.
Reduce noise from repetitive events.
Highlight likely root-cause events.
Differentiate primary failures from cascading failures.

**Time-Based Investigation**

Allow investigation around a specific event using configurable time windows.

Examples:

5 minutes before and after an exception.
15 minutes around a controller restart.
10 minutes around an agent connection failure.
30 minutes around a plugin loading issue.

**Event Correlation**

Correlate related events within the Jenkins controller log.
Optionally correlate with Linux system logs when available.
Identify event chains leading to a failure.
Detect patterns that commonly precede incidents.

**AI-Powered Summarisation**
Generate concise incident summaries.
Group related events together.
Eliminate duplicate and repetitive messages.
Present findings in a human-readable format.

**AI-Powered Recommendations**
Analyse extracted events and context.
Suggest probable root causes.
Recommend remediation actions.
Provide confidence scoring.
Explain the reasoning behind recommendations.
Highlight when additional evidence may be required.