Results for “monitoring”

Build monitoring bots that poll APIs and send notifications on state changes (new listings, price alerts, status updates)

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Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics. Identifies mass file modification patterns, abnormal entropy spikes in written data, and suspicious process behavior characteristic of ransomware encryption routines. Activates for requests involving ransomware behavioral detection, entropy-based file monitoring, I/O anomaly detection, or real-time encryption activity alerting.

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Deploys and configures Suricata IDS/IPS with Emerging Threats rulesets, EVE JSON logging, and custom rules for real-time network traffic inspection, threat detection, and integration with SIEM platforms for centralized security monitoring.

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Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.

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Use when working with Contentful — contentful headless CMS management covering space and environment inventory, content type analysis, entry and asset monitoring, locale configuration, webhook tracking, API key auditing, and usage quota monitoring. Use when reviewing content models, investigating publishing issues, monitoring API usage, or auditing space access.

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Use when working with Checkmk — checkmk infrastructure and application monitoring platform for hosts, services, network devices, and cloud resources. Covers host/service status, event console, rule management, agent deployment, and WATO configuration. Use when checking Checkmk monitoring status, investigating service problems, managing host configurations, or reviewing monitoring rules.

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Use when working with Browserstack — browserStack cloud testing platform monitoring and analysis. Covers Automate session management, live testing status, App Automate tracking, build and session analysis, device/browser usage metrics, and account quota monitoring. Use when managing BrowserStack test sessions, reviewing cross-browser results, or monitoring cloud testing infrastructure.

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Expert en monitoring d'agents IA en temps réel (dashboards, alertes, détection d'anomalies, SLA tracking)

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Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics. Identifies mass file modification patterns, abnormal entropy spikes in written data, and suspicious process behavior characteristic of ransomware encryption routines. Activates for requests involving ransomware behavioral detection, entropy-based file monitoring, I/O anomaly detection, or real-time encryption activity alerting.

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Deploys and configures Suricata IDS/IPS with Emerging Threats rulesets, EVE JSON logging, and custom rules for real-time network traffic inspection, threat detection, and integration with SIEM platforms for centralized security monitoring.

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Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.

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Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, or monitoring production AI systems with real-time insights.

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Build AI monitoring systems with drift detection. TRIGGERS - Use when user needs help with ai-monitoring-system related tasks.

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Detects ransomware encryption activity in real time using entropy analysis, file system I/O monitoring, and behavioral heuristics. Identifies mass file modification patterns, abnormal entropy spikes in written data, and suspicious process behavior characteristic of ransomware encryption routines. Activates for requests involving ransomware behavioral detection, entropy-based file monitoring, I/O anomaly detection, or real-time encryption activity alerting.

The English summary is being prepared. Showing the original description.

Deploys and configures Suricata IDS/IPS with Emerging Threats rulesets, EVE JSON logging, and custom rules for real-time network traffic inspection, threat detection, and integration with SIEM platforms for centralized security monitoring.

The English summary is being prepared. Showing the original description.

Monitors Certificate Transparency (CT) logs to detect unauthorized certificate issuance, discover subdomains via CT data, and alert on suspicious certificate activity for owned domains. Uses the crt.sh API and direct CT log querying based on RFC 6962 to build continuous monitoring pipelines that catch rogue certificates, track CA behavior, and map the external attack surface. Activates for requests involving certificate transparency monitoring, CT log auditing, subdomain discovery via certificates, or certificate issuance alerting.

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Captures snapshots and short video clips from RTSP/ONVIF network cameras and local webcams. It also covers motion monitoring, camera diagnostics, and pan, tilt, and zoom controls for supported USB cameras.

• Saving a snapshot from a network camera
• Recording a short camera clip
• Monitoring a camera feed for motion

Add background jobs to Django with Celery, moving work such as email delivery and PDF generation outside web requests. Covers scheduled runs, retries, linked or parallel tasks, monitoring, and tests, with Redis or RabbitMQ carrying task messages.

• Moving email delivery or PDF generation into background jobs
• Scheduling inventory updates and recurring notifications
• Designing retries and safeguards against duplicate processing

Monitor a live app after deployment for console errors, slower performance, and page failures. Periodic screenshots and comparisons with pre-deployment baselines help identify anomalies and check whether the release is behaving as expected.

• Monitoring a live app after deployment
• Checking for performance regressions after a release
• Comparing screenshots before and after deployment

Helps you write Python code for browser automation with browser-use. Its reference guides cover installation, agent and browser settings, custom tools, model connections, and monitoring so you can configure and extend your automation.

• Set up browser automation in Python
• Configure agents and browser authentication
• Add custom tools and execution hooks

Add logs, metrics, traces that follow requests across services, and actionable alerts to production features. This skill guides signal design, request identification, response instructions, and checks that the collected data can explain failures.

• Add monitoring signals to a new production feature
• Connect logs across services and background jobs
• Review alerts and their response instructions

Find and fix slow page loads, API responses, and database queries using measurements. Compare results before and after each change, discard changes without clear gains, and add checks or monitoring to catch future slowdowns.

• Investigating slow page loads and sluggish interactions
• Reducing API delays and repeated database queries
• Checking whether a recent change caused a slowdown

Improve the MCP server that connects claude-flow v3 to tools. It guides connection reuse, faster tool lookup, request distribution, and communication changes, with monitoring to evaluate response times, errors, memory use, and cache performance.

• Analyze slow MCP startup and tool responses
• Reuse connections and clean up idle ones
• Improve tool lookup and distribute requests

Run RuView applications for occupancy, breathing and heart rate, activity, pose, sleep, and room changes. Choose suitable examples and startup commands for a simulated demonstration or a working ESP32 setup that captures WiFi signal measurements.

• Try presence and occupancy sensing
• Explore breathing, heart rate, and sleep monitoring
• Run activity and pose estimation examples