'telemetry' 검색 결과

Assess existing Google Cloud folders and projects through read-only discovery. Compare resource locations, service usage, and customer-managed encryption requirements with Assured Workloads frameworks, then report suitable options and policy readiness findings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Assess an existing folder or project's policy readiness
• Compare EU or US data boundary frameworks
• Review location, service, and encryption readiness

Guides migration of existing codebases to Rust without unsafe code, covering architecture, implementation, testing, and output comparisons. It measures performance before and after optimization and produces an interactive HTML report documenting results and unresolved differences.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Migrating a GitHub or local codebase to Rust
• Comparing original and migrated program outputs
• Measuring and optimizing a Rust port

Investigate slow or failing requests in Google Cloud using Cloud Trace. Filter traces by duration or error status, inspect spans representing individual operations, and retrieve related Cloud Logging entries to investigate bottlenecks and exceptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find requests exceeding a latency threshold
• Inspect operation hierarchies within a trace
• Investigate failures using related application logs

Build and test threat detection rules in Google SecOps using YARA-L 2.0, its rule language. The skill also checks existing coverage with simulated attack events, proposes rules for confirmed gaps, and deploys approved rules.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Creating detection rules from known attack behavior
• Tuning existing rules to reduce false positives
• Checking detection gaps against threat reports and CVE disclosures

Guides migration from Google AI Studio’s Gemini API to Gemini Enterprise Agent Platform on Google Cloud, covering billing, access permissions, authentication, and connection settings for SDKs and supported agent tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Moving a Gemini application to Google Cloud
• Using Google Cloud credits for Gemini API calls
• Unifying agent authentication and billing

Investigate failing or slow BigQuery jobs and unexpected cost increases. Compare execution details and resource usage with a normal baseline to isolate bottlenecks, identify likely causes, and determine practical remediation steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate failed or slow BigQuery jobs
• Locate bottlenecks in execution stages
• Diagnose sudden increases in query or capacity costs

Build repeatable DeepEval tests for AI agents, chatbots, and applications that retrieve documents to answer questions. Reuse or generate evaluation datasets, inspect failures, and improve prompts, tools, or retrieval through repeated evaluation runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add repeatable quality tests for an AI agent
• Evaluate chatbot behavior across multiple conversation turns
• Generate evaluation datasets from documentation

Add DeepEval tracing to Python AI applications so execution steps appear in Confident AI. Choose a supported integration or manual @observe instrumentation, then capture inputs, outputs, step types, tags, and metadata.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Trace execution steps in a Python AI application
• Select tracing integrations for an existing framework
• Add manual tracing with @observe

Install and configure OpenSearch for storing, searching, and analyzing KubeSphere logs, events, audit records, and notification history. Adjust storage and memory, enable a visualization interface, and manage scheduled cleanup of old search indexes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing storage for logs and event history
• Enabling OpenSearch Dashboards
• Adjusting storage capacity and memory

Set up application monitoring with structured logs, performance metrics, and traces that follow requests across services. Build dashboards and alerts, run load tests, investigate CPU and memory bottlenecks, and estimate future infrastructure capacity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Set up application dashboards and alerts
• Investigate production issues using logs, metrics, and traces
• Run load tests before traffic increases

Explore and query measurements stored in Axiom MetricsDB. The skill discovers metrics and tags, checks measurement types and units, and builds MPL queries, Axiom’s metrics query language, to retrieve values and aggregate them over a chosen period.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Explore available metrics and tag values
• Check metrics for a specific service or host
• Aggregate values over a selected time range

Record a web app workflow on a desktop with a visible system cursor. It produces an MP4 video and a separate log of clicks, hovers, scrolling, and typing, and can re-record existing demo scripts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Recording a checkout or user invitation workflow
• Creating a feature video for a changelog
• Re-recording an existing demo after UI changes

Set up monitoring for deployed agents to inspect execution paths, latency, and model interactions. It explains Cloud Trace, prompt and response logging, BigQuery analytics, and external monitoring integrations, with checks for missing data and unwanted content capture.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating agent latency and execution errors
• Configuring prompt and response logging
• Analyzing agent events in BigQuery

Instrument Python or TypeScript agents to record runs for Failproof AI, verify local event files, and troubleshoot missing sessions. The skill also guides building evaluator workers that score completed runs on your own infrastructure.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning where an agent should record events
• Adding run logging to an existing agent
• Troubleshooting missing events or sessions

Inspect production AI agents in FailproofAI Cloud using the fp CLI. Review errors, run histories, quality scores, and usage, then manage issues, audits, user access, and scoped API keys for the team's deployment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating failed agent runs
• Checking for drops in quality scores
• Running audits and triaging findings

Design, configure, run, and review BenchmarkDotNet measurements of small .NET operations. Compare implementations, runtime versions, or input sizes, while controlling setup work, measurement errors, and case counts so results support a concrete performance decision.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Compare the performance of alternative implementations
• Reproduce a reported performance problem
• Measure performance before and after a code change

Retrieve the current Codex session ID so you can find its records in Weave Router logs and dashboards. The ID is returned in a copyable format for investigation or support.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find the current session in router logs
• Look up a session in the router dashboard
• Copy a session ID for a support request

Collect product feedback, usage data, runtime errors, and issue reports from configured sources. Classify and group findings with supporting evidence, then apply separate project rules for implementing fixes, requesting clarification, or closing reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triage feedback from multiple sources
• Group related error reports
• Check collection coverage and unavailable sources

Look across feedback, operational data, errors, and delivery failures over a defined period to find recurring problems. Trace patterns to shared causes, examine earlier fixes, and recommend systemic changes, implementing and verifying them only when configured policies allow.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review recurring problems across feedback and operational records
• Investigate symptoms that returned after an earlier fix
• Find shared causes across related features and callers

Investigate Finelog logs and runtime measurements for Iris tasks, training, and vLLM. Discover available fields, write time-bounded SQL, summarize resource usage, compare central and regional records, and interpret counters correctly.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Summarizing Iris task memory and CPU usage
• Comparing central and regional logs for forwarding delays
• Aggregating vLLM counters with reset handling

Collects a read-only health snapshot of a Jetson device, covering its model, memory, GPU, temperatures, power mode, storage, services, and processes. Helps investigate slowdowns, overheating, and memory pressure using observed device data.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identify the Jetson model and memory capacity
• Investigate slowdowns and overheating
• Find processes consuming RAM or GPU memory

Guide DOCA Management programming for BlueField and ConnectX devices. Set up management contexts, query capabilities, change device settings, and investigate errors, using installed reference samples and checks before and after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Querying BlueField device capabilities in a fleet tool
• Changing data-direct settings for a virtual function
• Setting ICM quotas for devices or representors

Deploy and operate DOCA Argus Service on BlueField to monitor suspicious activity. This skill guides detection settings, forwarding findings to a security monitoring system, and troubleshooting missing alerts, excessive noise, or performance impact.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Deploying runtime security on BlueField
• Forwarding security findings to Splunk
• Investigating missing or excessive alerts

Capture and decode execution traces from BlueField DPA workloads to inspect kernel events, synchronization, and communication timing. Choose capture modes, adjust file limits and recording overhead, and diagnose empty traces or decoding failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate incorrect results from a DPA kernel
• Inspect delays between kernel entry and communication
• Adjust capture modes and overhead