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Search Data-Observability , found 16 results

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OpenTelemetry Exporter to Azure Monitor

azure-monitor-opentelemetry-exporter-java

sickn33/antigravity-awesome-skills

A Java exporter that facilitates sending OpenTelemetry telemetry data—including traces, metrics, and logs—from Java applications directly to Azure Monitor or Application Insights. It is crucial for achieving centralized, comprehensive observability into enterprise applications.

Azure Monitor OpenTelemetry Node.js SDK

azure-monitor-opentelemetry-ts

sickn33/antigravity-awesome-skills

This SDK provides comprehensive support for automatically instrumenting Node.js applications to collect observability data. It integrates distributed tracing, metrics, and logs using the OpenTelemetry standard, allowing seamless data export and monitoring within Azure Monitor. It supports various resource types and connection methods.

Database Migration Observability and CDC

database-migrations-migration-observability

sickn33/antigravity-awesome-skills

This guide provides expert patterns for building robust, observable infrastructure for database migrations. It covers real-time monitoring using Change Data Capture (CDC), metrics collection (Prometheus/Grafana), and anomaly detection. Use this skill when setting up CDC pipelines (e.g., Debezium with Kafka) or implementing comprehensive observability for database schema changes and data synchronization processes.

Databricks Observability Guide

databricks-observability

jeremylongshore/claude-code-plugins-plus-skills

Provides Databricks monitoring instructions using system tables, SQL alerts, and the SDK to track job health, cluster utilization, query performance, costs, and exportable metrics for observability-driven operations.

AI-Assisted Debugging and Root Cause Analysis

debugging-toolkit-smart-debug

sickn33/antigravity-awesome-skills

A comprehensive, expert-level workflow for debugging complex software issues in production environments. This skill guides users through initial triage, advanced observability data collection (APM, distributed traces, logs), intelligent hypothesis generation, and full root cause analysis. Use it when dealing with intermittent failures, performance bottlenecks, or needing a complete fix and prevention plan.

Deploy Monitoring Stack

deploying-monitoring-stacks

jeremylongshore/claude-code-plugins-plus-skills

Automate deploying production-ready monitoring stacks like Prometheus, Grafana, and Datadog, delivering configuration files, deployment scripts, and guided instructions for infrastructure-focused observability setups.

Fireflies AI Observability Monitoring

fireflies-observability

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive toolkit for monitoring the health and performance of Fireflies.ai integration. It tracks crucial metrics such as API connectivity, webhook delivery status, transcript processing latency, and seat utilization. Built using Prometheus metrics and suitable for Grafana dashboards, ensuring reliable data pipeline monitoring for engineering teams.

Building Observability Dashboards with Grafana

grafana-dashboards

sickn33/antigravity-awesome-skills

This skill guides you through designing and implementing production-grade Grafana dashboards for comprehensive system observability. Learn to visualize critical metrics, track key performance indicators (KPIs), monitor infrastructure health (using principles like RED/USE), and build actionable alerts using Prometheus data sources. Ideal for DevOps engineers and Site Reliability Engineers (SREs).

Langfuse Data Lifecycle

langfuse-data-handling

jeremylongshore/claude-code-plugins-plus-skills

Manage Langfuse trace exports, retention policies, GDPR compliance, anonymization, and audit logging to keep observability data secure while fulfilling organizational and regulatory requirements.

Langfuse Migration Deep Dive

langfuse-migration-deep-dive

jeremylongshore/claude-code-plugins-plus-skills

Guided process for executing complex Langfuse migrations, covering data export/import, dual-write zero-downtime, validation, and rollbacks, ideal when moving between observability platforms or Langfuse environments without losing trace continuity.

Configure Multi-Environment Langfuse Setup

langfuse-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive guide details the best practices for configuring Langfuse across development, staging, and production environments. It covers essential steps including environment-specific API key management, secret integration (AWS/GCP), and implementing reliable CI/CD pipelines to ensure data isolation and prevent cross-environment leakage, maintaining observability throughout the software lifecycle.

Optimizing LLM Observability Rate Limiting

langfuse-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide on implementing robust strategies for high-volume LLM observability workloads using Langfuse. Learn to manage API rate limits by implementing exponential backoff with jitter, optimizing SDK batching settings, controlling concurrency with queues, and utilizing configurable sampling to prevent data loss during periods of high traffic.

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