DEVOPS

Agentic EOL triage and rebuild roadmap

An agent reviews all upcoming base-image EOL deadlines across the org, weighs each by blast radius and remaining runway.

CategoryDevOps
Enginepaperclip
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerMonthly schedule wakes the triage agent
  • ActionCollect EOL dates and affected-service countsGitHubGitHub
  • LogicRank images by runway and blast radius
  • ActionOpen draft rebuild PRs for urgent imagesGitHubGitHub
  • ActionPublish the prioritized roadmap to ConfluenceConfluenceConfluence
  • OutputPing the team in Slack with the roadmap linkSlack

What it does

Instead of treating every EOL the same, this agent-driven workflow reasons about which expirations matter most. It gathers all base-image support deadlines, considers how many services each affects and how soon support ends, then drafts a sequenced rebuild plan and opens PRs for the top-priority images.

When to use it

Use this when you have a backlog of EOL findings and limited engineering time, and you need judgment about ordering — not just a flat list. It's for the quarterly or monthly planning pass that turns scattered warnings into an executable roadmap.

How it works

  1. 1A monthly schedule wakes the triage agent.
  2. 2The agent collects base-image EOL dates and affected-service counts via HTTP and GitHub.
  3. 3It reasons over runway versus blast radius to rank every flagged image.
  4. 4A logic branch separates urgent items needing draft PRs from those that only need tracking.
  5. 5The agent opens draft rebuild PRs in GitHub for the urgent set with rationale.
  6. 6It publishes the full prioritized roadmap to Confluence and pings the team in Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect GitHubRepos, issues, pull requests, actions.
  2. 2
    Connect HTTP webhookTrigger any URL on agent actions.
  3. 3
    Connect ConfluenceSpaces, pages, blueprints.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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