Browse skills

Continuously tracks system health, performance metrics, and logs to proactively identify and resolve DevOps issues.

Quickly identify errors, anomalies, and performance bottlenecks in application logs using Supercent's log analysis.

Langsmith Observability monitors your LLM deployments, surfacing insights into performance and errors to improve reliability & troubleshoot issues quickly.

Optimizes code and system configurations for peak efficiency and reduced resource consumption using data-driven analysis.

Helps with performance optimization, monitoring as part of agent workflows workflows.

Proactively detect website outages and performance degradations with Checkly's automated monitoring capabilities.

Jenkins monitors your Jenkins instance for performance issues, ensuring continuous integration pipelines run smoothly and reliably.

Proactively monitors infrastructure health & application performance using custom metrics and alerts via manutej's observability platform.

Automatically defines realistic performance budgets for projects based on historical data and resource constraints.

Automatically generates optimized Redisearch indexes from data schemas, streamlining search implementation and performance.

Ensures AI model deployments adhere to pre-defined performance budgets (latency, throughput) using automated checks and alerts.

Tracks whale activity in Kubernetes clusters, alerting on resource exhaustion and potential performance bottlenecks.

Tracks resource usage and performance metrics of deployed AI agents to identify bottlenecks and optimize efficiency.

Automatically establishes performance baselines for AI models using historical data, enabling objective progress tracking.

This skill automatically checks your system's health metrics, proactively identifying potential issues and ensuring optimal performance.

Automatically optimizes AI sentry system resource allocation and detection accuracy based on real-time performance data.

Monitors system performance metrics in real-time using New Relic data, providing proactive insights for rapid issue detection and resolution.

Collects and summarizes key performance indicators from diverse sources into a unified, easily digestible report.

Automates deployment of Sapiom agents to diverse environments, streamlining setup and ensuring consistent performance.

Automatically tracks key stock sector performance metrics and alerts DevOps on anomalies impacting infrastructure dependencies.

Automates CI/CD pipeline testing, infrastructure validation, and performance monitoring to ensure DevOps quality and reliability.

Automates setup of comprehensive real user monitoring (RUM) dashboards & alerts for improved application performance insights.

This skill analyzes project logs & metrics to pinpoint performance bottlenecks and issues, boosting DevOps efficiency and rapid problem resolution.

Monitors CI/CD pipelines for errors and performance degradation, alerting dhughes to potential build issues.