'cloud' 검색 결과

Investigate AWS production incidents using reusable CloudWatch log queries and metric calculations. Narrow affected resources, compare alarms with deployment events, and reconstruct a timeline to identify changes that may explain the symptoms.

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• Investigate error spikes, slow responses, and memory exhaustion
• Compare alarm transitions with recent deployments
• Narrow an incident to affected services and resources

Analyze AWS CloudTrail logs against normal activity patterns to spot unusual API calls, IP addresses, errors, and sensitive changes. Produce a JSON report with anomaly scores, suspicious users, and suggested investigation steps.

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• Investigating possible misuse of AWS credentials
• Finding first-time API calls and unusual IP activity
• Reviewing IAM, KMS, and S3 policy changes

Design and create custom cloud controls and frameworks for Google Cloud data boundary requirements that existing resources cannot meet. Receive prepared configuration fields for manual setup, or approve creation through the agent.

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• Designing controls for requirements existing frameworks cannot meet
• Preparing configuration fields for the Google Cloud console
• Creating a framework that groups newly authored controls

Creates Terraform configuration for Google Cloud Monitoring notification channels, including email, Slack, and Pub/Sub, and attaches channels to existing alert policies. It also checks Pub/Sub topic compatibility and publishing permissions when inspecting the cloud environment.

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• Configuring email or Slack alert notifications
• Adding notification channels to existing alert policies
• Checking Pub/Sub topic compatibility and publishing permissions

Design a shared data platform across Google Cloud, AWS, and Azure for analytics and AI. The skill turns requirements into architecture diagrams, infrastructure code, deployment instructions, and validation checks using Apache Iceberg and BigQuery data agents.

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• Designing a data platform across multiple clouds
• Planning data ingestion and AI serving components
• Preparing infrastructure code and deployment instructions

Automate Cloudflare Browser Rendering operations through Rube MCP, a connection for agent tools. The skill discovers supported actions, verifies an active connection, and executes tasks using the latest tool input requirements.

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• Finding available Cloudflare Browser Rendering actions
• Checking the service connection before a task
• Running multiple operations in a workflow

Sign in to a cloud provider’s command-line tool using a verification URL and one-time code approved on the user’s device. Check installation and account identity, save the login, and run commands within that user’s permissions.

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• Sign in to a cloud CLI from a separate device
• Check whether required CLIs and helpers are installed
• Verify the cloud account before running commands

Plan and carry out agent deployments on Google Cloud using agents-cli. The guide covers deployment targets, permissions, secrets, automated build and deployment pipelines, verification, and recovery procedures for agents built with supported frameworks.

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• Comparing Agent Runtime, Cloud Run, and GKE
• Setting up automated build and deployment pipelines
• Configuring secrets and service account permissions

Operate ArvanCloud (arvancloud.ir) through its REST APIs, including CDN and DNS records, domains, cache purge, WAF and rate limits, Cloud Server (IaaS v3, v1 and the undocumented v2 backups), Object Storage, Edge Computing, Cloud Container, VOD, Live and Video Ads, plus Let's Encrypt DNS-01 certificates via acme.sh dns_arvan. Use when the user wants to list, create, change or delete anything on ArvanCloud, take an account inventory, find out which account a key belongs to, check quota or usage, or debug an ArvanCloud API error. Also trigger on hosts like napi.arvancloud.ir, ecc.{region}.arvanapis.ir, storage.arvanapis.ir, dejban.arvancloud.ir, an "Apikey" Authorization header, the dns_arvan plugin, or one of the user's ArvanCloud-hosted domains.

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Cloud Worker용 도구가 미리 설치된 이미지를 만들고 선택해 시작 시간과 세션 작동을 검증합니다. 실패 시 이전 선택으로 복원하고 승인 후 기존 이미지를 삭제합니다.

• 필요한 도구를 미리 설치한 이미지 생성
• 이미지 변경 전후의 시작 시간 비교
• 새 이미지에서 세션 작동 확인

Dot 등 외부 봇과 Paperclip의 양방향 작업 연동을 설계·구현하며, 초대와 권한, 복구, Cloud 배포까지 실제 계정과 배포 환경에서 검증합니다.

• 외부 봇과 양방향 작업 연동
• 초대와 연결 설정 화면 구현
• 재시작과 중복 알림 이후 복구 검증

Automate Big Data Cloud operations through Rube MCP, a connection for agent tools. The skill finds available actions, checks their required inputs and connection status, and executes them using Composio's toolkit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Big Data Cloud tools
• Checking current tool input requirements
• Automating operations after verifying the connection

Estimate AWS costs before deployment, analyze spending trends, and investigate metrics and logs with CloudWatch. The skill guides cost reviews, alert setup, and operational improvements through connected tools, with additional integrations for audits and security assessments.

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• Estimating monthly AWS costs before deployment
• Investigating unexpected charges and spending trends
• Setting up CloudWatch alarms and investigating logs

Set up AWS CloudTrail to record activity across accounts, protect audit logs, and alert on sensitive operations. Includes guidance for querying past events with Athena or CloudTrail Lake and checking log integrity during investigations.

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• Set up audit logging across AWS accounts
• Investigate suspicious API activity
• Configure alerts for sensitive operations

Use CloudFox to inspect AWS and Azure resources through read-only queries. Identify exposed endpoints, secrets, permissions, and role trust relationships, then organize findings into files for reviewing configuration weaknesses and potential paths to broader access.

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• Inventorying an unfamiliar AWS or Azure account
• Finding internet-facing resources
• Mapping role trust relationships and permissions

Design security controls for Google Cloud Agent Gateway, covering incoming client requests and outgoing agent tool calls. Produce architecture diagrams, configuration files, deployment commands, and validation scripts using Model Armor, IAP, and Agent Registry.

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• Design incoming and outgoing agent communication controls
• Prepare Model Armor filters and tool access policies
• Generate scripts to check authentication and allowed tool calls

Find and synthesize official Google developer documentation for platforms including Google Cloud, Gemini, Android, and Firebase. Retrieve command syntax, API details, permissions, and product comparisons through Developer Knowledge, then turn the findings into practical technical answers.

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• Checking gcloud commands and flags
• Looking up API syntax and required permissions
• Comparing Google products and architectures

Inspect Google Cloud Filestore usage and free space, then propose capacity increases or decreases based on configured thresholds and storage tier limits. Apply resizing after confirmation to address low space or reduce excess capacity.

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• Check free space across Filestore instances
• Increase capacity when storage is running low
• Reduce excess capacity on eligible storage tiers

Evaluate Google Cloud workloads against built-in best practices or custom organizational rules using Workload Manager. Use public client libraries or the REST API to run checks, review violations and scanned resources, and export results to BigQuery.

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• Evaluate workloads against Google Cloud best practices
• Inspect rules for SAP and SQL Server workloads
• Run evaluations using custom organizational rules

Design a Google Cloud system for data analysis or machine learning with AI agents. Turn requirements into product choices, an architecture diagram, infrastructure configuration, deployment instructions, and validation steps, with user reviews between phases.

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• Design a data analysis system with multiple AI agents
• Choose Google Cloud products for analytical requirements
• Prepare an architecture diagram and deployment guide

Configure Cloud Logging within one Google Cloud project. Set storage locations, retention periods, routing rules, and viewing permissions; create metrics from logs; and adjust stored volume through exclusions or sampling, which retains only a portion of entries.

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• Set regional log storage and retention periods
• Restrict access to sensitive logs
• Count specific errors with logs-based metrics

Automate Big Data Cloud operations through Rube MCP, a connection for agent tools. The skill finds available actions, checks their required inputs and connection status, and executes them using Composio's toolkit.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding available Big Data Cloud tools
• Checking current tool input requirements
• Automating operations after verifying the connection

Design cloud architectures and migration plans for AWS, Azure, and GCP. Produce service diagrams, selection rationale, security designs, cost estimates, and recovery strategies, with deployment and rollback plans that account for availability and operational monitoring.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Design a cloud architecture and explain service choices
• Plan a cloud migration and cutover checks
• Review cloud spending and resource sizes

Inspect and manage Tencent Cloud resources with tccli, its command line tool. Covers servers, networking, DNS, certificates, permissions, monitoring, and application deployment, with supporting scripts for login and identifying the current cloud instance.

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• Checking Lighthouse and CVM server status
• Reviewing domain expiry dates and SSL certificates
• Inspecting security groups and access permissions