Results for “performance-monitoring”

25 skills
More results
cloudthinker-ai
azure-sql
Manages and analyzes Azure SQL databases via Azure CLI, covering DTU/vCore performance, elastic pools, geo-replication, and health monitoring.
7
mhassan0000
benchmark
Measures performance baselines, detects regressions before and after PRs, and compares stack alternatives.
1
affaan-m
benchmark
Measure performance baselines, detect regressions before and after PRs, and compare stack alternatives using browser, API, and build benchmarks.
226k
github
qdrant-monitoring-debugging
Diagnoses Qdrant production issues using metrics and observability tools, covering optimizer problems, memory spikes, and slow queries.
36.2k
github
qdrant-monitoring
Guides monitoring and observability setup for Qdrant vector search deployments, including Prometheus scraping, health checks, and metric-based debugging of production issues.
36.2k
alirezarezvani
performance-profiler
Systematically profile Node.js, Python, and Go applications to identify CPU, memory, and I/O bottlenecks, generate flamegraphs, analyze bundle sizes, optimize database queries, and run load tests with k6 and Artillery.
20.4k · bundle
neuralblitz
caching
Implements multi-level caching with strategies for invalidation, stampede prevention, and performance monitoring.
1
saranskumar
observability-planner
Use this when the system needs logging, metrics, tracing, alerting, or operator-visible runtime signals for APIs, workers, integrations, serverless functions, or local-to-production supportability.
0
mukul975
implementing-ebpf-security-monitoring
Deploy kernel-level runtime security monitoring on Linux hosts or Kubernetes clusters using eBPF and Cilium Tetragon for process execution tracking, network observability, file access auditing, and runtime enforcement.
24.6k · bundle
kk20300113-png
canary
Post-deploy canary monitoring. Watches the live app for console errors, performance regressions, and page failures using the browse daemon. Takes periodic screenshots, compares against pre-deploy baselines, and alerts on anomalies. Use when: "monitor deploy", "canary", "post-deploy check", "watch production", "verify deploy". (gstack)
0
livelybug
canary
Post-deploy canary monitoring. (gstack)
0
leandrobenjaminl
perf-engineer
Diagnose and eliminate performance bottlenecks across web, API, database, and code with load testing, profiling, and optimization techniques.
0
tinh2
perf
Profiles application performance across database queries, API call chains, memory usage, bundle sizes, network waterfalls, and frontend rendering, then produces ranked optimization recommendations with estimated impact.
13
mhassan0000
canary-watch
Monitors a deployed URL after releases to catch regressions in HTTP status, console errors, network failures, performance metrics, content, API health, static assets, and SSE streams.
1
cloudthinker-ai
aws-rds-deep
Deep-dive analysis of AWS RDS instances using Performance Insights, event subscriptions, proxy health, and global database status, with parallel execution and anti-hallucination guardrails.
7
herdiansah
database-optimizer
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. Masters advanced indexing, N+1 resolution, multi-tier caching, partitioning strategies, and cloud database optimization. Handles complex query analysis, migration strategies, and performance monitoring. Use PROACTIVELY for database optimization, performance issues, or scalability challenges.
23
expo
expo-observe
Add EAS Observe to an Expo project for startup, navigation, and custom-event performance tracking, query metrics via the EAS CLI, and interpret results.
2.2k · bundle
adobe
replication-orchestrator
Coordinates end-to-end replication workflows for AEM 6.5 LTS, including environment setup, production incident response, and performance optimization.
142
herdiansah
devops-troubleshooter
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
23