alibabacloud-livedebugLive-Debug runtime diagnostics: dynamic logging, method snapshots, dynamic metrics, dynamic spans, and JVM inspection. Use for live-debug ServiceTask on Alibaba Cloud CMS (aliyun cms2 apm service-task): dynamic log/snapshot/metric/span probes, Java JVM commands (OGNL evaluate, decompile, thread info, memory info, inspect object, search type/method, runtime info), disable/clear probes, and query capture results via SLS. Java supports commands + LOG/SNAPSHOT probes; Python supports LOG/SNAPSHOT/METRIC/SPAN/SPAN_TAG probes only. Synonyms: live debug, service task, probe, dynamic logging, method snapshot, take a snapshot, inspect running JVM, runtime diagnostics. Do NOT use for APM/agent onboarding, CMS alerts, RUM, Prometheus rules, or billing.
Install via ClawdBot CLI:
clawdbot install sdk-team/alibabacloud-livedebugGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://help.aliyun.com/document_detail/121541.htmlAudited Oct 9, 2026 · audit v1.0
Generated Oct 9, 2026
SRE teams attach dynamic log probes and method snapshots to a running Java service to capture the exact inputs, outputs, and stack context causing intermittent 500s in production. Because no code change or redeploy is needed, they diagnose the fault within minutes and copy the captured evidence into the incident timeline.
Backend engineers add dynamic span and metric probes to specific controller and DAO methods to find which downstream dependency is inflating p99 latency. They compare span timings collected through SLS against baseline metrics without instrumenting or restarting the service.
Platform engineers inspect a live JVM using thread info, memory info, and object inspection commands during a memory-leak or thread-pool exhaustion event. They use decompile and search-type commands to confirm which class is holding references before deciding on a remediation.
Integration developers place a snapshot probe on an outbound HTTP client method to verify the exact headers, payload, and response fields exchanged with a partner API during real traffic. This replaces guesswork from documentation and avoids staging drift issues.
Data platform teams use LOG, METRIC, SPAN, and SPAN_TAG probes on Python workers to observe batch job execution, per-record error rates, and stage-level timings. They query capture results via SLS to build temporary dashboards for a specific pipeline run.
A SaaS offering that charges customers per probe-hour or per captured event across Java and Python runtimes, bundling the CLI skill with a managed workspace and SLS backend. Revenue scales with the number of live-debug sessions and services monitored rather than seat count.
Vendors already selling APM or CMS subscriptions upsell a Live-Debug module as a premium tier that enables non-intrusive runtime diagnostics for regulated production environments. It differentiates from static APM by offering dynamic instrumentation with no redeploy.
Consultancies and MSPs package this skill as part of a 24/7 production response retainer, using dynamic probes to shorten mean time to resolution for customer incidents. The diagnostic capability is the core value driver, with CLI configuration and SLS analysis performed by the provider's engineers.
💬 Integration Tip
Pre-configure the aliyun CLI with the cms2 plugin and SLS access, and commit a correct .arms-info file so workspace, serviceId, region, and slsProject are auto-resolved instead of being passed manually each run. Always include the mandatory --user-agent flag with a stable 32-hex session-id so backend telemetry stays correlated across multi-step workflows.
Scored Oct 9, 2026
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