{"id":1934,"date":"2026-07-20T14:45:44","date_gmt":"2026-07-20T06:45:44","guid":{"rendered":"https:\/\/www.lerwee.com\/?p=1934"},"modified":"2026-07-20T14:45:45","modified_gmt":"2026-07-20T06:45:45","slug":"lerwee-agentic-ops-x-workbuddy-closed-loop-full-chain-covering-perception-analysis-execution","status":"publish","type":"post","link":"https:\/\/www.lerwee.com\/zh_hk\/2026\/07\/20\/lerwee-agentic-ops-x-workbuddy-closed-loop-full-chain-covering-perception-analysis-execution\/","title":{"rendered":"Lerwee Agentic Ops \u00d7 WorkBuddy: Closed-Loop Full Chain Covering Perception, Analysis & Execution"},"content":{"rendered":"

When a severe alert pops up indicating server disk utilization hits 92%, traditional O&M follows a time-consuming, cumbersome fixed workflow:<\/p>\n\n\n\n

O&M engineer logs into bastion host \u2192 runs disk inspection commands one by one \u2192 checks occupied files directory by directory \u2192 screens deletable files \u2192 executes deletion manually.<\/p>\n\n\n\n

This process drains massive manpower, and after-hours emergency alerts are a constant headache for O&M staff.<\/p>\n\n\n\n

However, in real-world deployment scenarios where Lerwee Agentic Ops connects with WorkBuddy, the entire troubleshooting workflow is fully transformed. Relying on a 5-layer native architecture, disk over-utilization faults form a complete O&M closed loop spanning alert perception, root cause analysis, solution selection, automatic execution, post-event review and long-term optimization.<\/p>\n\n\n\n

A real disk-full scenario demonstration below illustrates its outstanding efficiency.<\/h2>\n\n\n\n

Once Agentic Ops receives an alert that disk partition utilization of a certain server exceeds 90%, the alert is directly handed over to WorkBuddy, and the intelligent agent automatically initiates inspection.<\/p>\n\n\n\n

First, it remotely logs into the target host and generates a diagnostic report including alert level, status and other core information.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Then AI conducts granular root cause analysis on directory and file occupancy:<\/h2>\n\n\n\n

Pull overall disk partition metrics: total capacity 7.5G, used 6.8G with utilization reaching 92%, verifying the alert as a genuine fault instead of false positive.<\/p>\n\n\n\n

Run directory occupancy statistics to identify high-occupancy directories: \/usr, \/opt, \/var and \/home, sorting out the full resource occupancy overview.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

After analysis, actionable self-healing solutions are provided.<\/h2>\n\n\n\n

Solution 1: One-Click Quick Cleanup<\/h3>\n\n\n\n

The intelligent agent orchestrates secure scripts to auto purge expired temp files under \/tmp, outdated logs and software package caches. It also screens files larger than 100MB for manual review by O&M personnel.<\/p>\n\n\n\n

After cleanup, disk metrics are recollected to pull utilization down to safe thresholds, with the whole process operable via one click.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Solution 2: On-Demand In-Depth Inspection<\/h3>\n\n\n\n

To distinguish disposable temp files from core system program files \u2014 releasing disk space while avoiding business outages caused by accidental deletion of critical files \u2014 users may instruct AI to further analyze subdirectories under \/var and \/home and output detailed deep file lists.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Upon execution confirmation, fault recovery completes.<\/h2>\n\n\n\n

After manual confirmation of the cleanup task, WorkBuddy invokes the automated O&M capabilities of Lerwee Agentic Ops to run pre-generated secure cleanup scripts, and outputs clear before-and-after data comparison.<\/p>\n\n\n\n

Disk metrics fall back within safe ranges, and the high disk utilization alert is automatically cleared.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Finally, long-term optimization suggestions are delivered.<\/h2>\n\n\n\n

Beyond resolving the immediate alert, systematic long-term optimization advice is provided to fundamentally reduce fault recurrence risks.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

More Than Troubleshooting: Robust AI O&M Capabilities Empowered by Agentic Ops<\/h2>\n\n\n\n

Single disk fault self-healing is just one use case. Lerwee Agentic Ops underpins WorkBuddy with a full 5-layer underlying architecture that unifies data collection, asset management, business links, knowledge base and automated execution.<\/p>\n\n\n\n

5-Layer Native O&M Closed-Loop Architecture: Perception \u2013 Memory \u2013 Planning \u2013 Action \u2013 Core Brain<\/h3>\n\n\n\n

It natively integrates Perseus full-domain collector, CMDB asset library, monitoring\/log\/APM modules and Lerwee Claw automated execution engine, with built-in professional O&M knowledge graph, RCA root cause analysis, alert convergence, business topology analysis and change control capabilities.<\/p>\n\n\n\n

Trustworthy Data Foundation<\/h3>\n\n\n\n

It stores full-stack original IT metrics, logs, asset topologies, historical fault tickets and execution scripts. It delivers traceable, executable, specification-compliant professional conclusions for upper-layer interaction, eliminating O&M hallucinations common in generic large language models.<\/p>\n\n\n\n

Closed-Loop Execution Permissions<\/h3>\n\n\n\n

It directly triggers server restart, capacity expansion, configuration modification, scheduled inspection, ticket dispatch and self-healing tasks, with complete permission control over enterprise IT infrastructure.<\/p>\n\n\n\n

Unified Multi-Channel Portal<\/h3>\n\n\n\n

Native integration with DingTalk, Lark and WeCom. O&M staff send natural language commands, receive alerts and view reports via chat windows without accessing dedicated O&M dashboards.<\/p>\n\n\n\n

Multi-Agent Task Orchestration<\/h3>\n\n\n\n

Complex O&M demands can be split into sub-agents dedicated to inspection, report generation, change audit and review document drafting, which collaborate to schedule Lerwee intelligent agents for batch and cyclic composite tasks.<\/p>\n\n\n\n

Long-Term Memory + Active Push<\/h3>\n\n\n\n

It records user interaction habits, core business scopes and duty rosters. Daily\/weekly reports and fault review documents are auto-generated and pushed regularly. Memory data is synchronized across all channels for consistent session context.<\/p>\n\n\n\n

Supplementary General Office Capabilities<\/h3>\n\n\n\n

Built-in functions for Office document parsing, report generation, PDF review report export and data summarization, converting raw O&M outputs into standardized deliverable documents for internal and external sharing.<\/p>\n\n\n\n

Supporting Deployment Documents for Fast Lerwee Agentic Ops & WorkBuddy Integration<\/h2>\n\n\n\n

Free Download: Lerwee O&M Intelligent Agent<\/a><\/p>\n\n\n\n

Document: WorkBuddy Integration Solution<\/a><\/p>\n\n\n\n

\"\"<\/figure>","protected":false},"excerpt":{"rendered":"

When a severe alert pops up indicating server disk util […]<\/p>","protected":false},"author":1,"featured_media":1935,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[124,123,121,122],"class_list":["post-1934","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-corporate-news","tag-analysis-execution","tag-closed-loop-full-chain-covering-perception","tag-lerwee-agentic-ops","tag-workbuddy"],"_links":{"self":[{"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/posts\/1934","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/comments?post=1934"}],"version-history":[{"count":1,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/posts\/1934\/revisions"}],"predecessor-version":[{"id":1942,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/posts\/1934\/revisions\/1942"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/media\/1935"}],"wp:attachment":[{"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/media?parent=1934"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/categories?post=1934"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.lerwee.com\/zh_hk\/wp-json\/wp\/v2\/tags?post=1934"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}