logging-best-practices
Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or...
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Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels, structured logs, or...
Build high-performance FastAPI applications with async routes, validation, dependency injection, security, and automatic API documentation. Use when developing modern Python APIs with async support, automatic O...
Create serverless functions on Azure with triggers, bindings, authentication, and monitoring. Use for event-driven computing without managing infrastructure.
Design and implement database indexing strategies. Use when creating indexes, choosing index types, or optimizing index performance in PostgreSQL and MySQL.
Generate realistic, consistent test data using factories, fixtures, and fake data libraries. Use for test data, fixtures, mock data, faker, test builders, and seed data generation.
Monitor database performance and health. Use when setting up monitoring, analyzing metrics, or troubleshooting database issues.
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
Create professional Grafana dashboards with visualizations, templating, and alerts. Use when building monitoring dashboards, creating data visualizations, or setting up operational insights.
Manage database transactions for data consistency. Use when implementing ACID compliance, handling concurrency, or managing transaction isolation levels.
Set up database replication for high availability and disaster recovery. Use when configuring master-slave replication, multi-master setups, or replication monitoring.
Write effective user stories that capture requirements from the user's perspective. Create clear stories with detailed acceptance criteria to guide development and define done.
Build NLP applications using transformers library, BERT, GPT, text classification, named entity recognition, and sentiment analysis
Conduct comprehensive web performance audits. Measure page speed, identify bottlenecks, and recommend optimizations to improve user experience and SEO.
Implement automated secrets rotation for API keys, credentials, certificates, and encryption keys. Use when managing secrets lifecycle, compliance requirements, or security hardening.
Design color palettes that are accessible to all users including those with color blindness. Ensure sufficient contrast, meaningful use of color, and inclusive design.
Design and implement microservices architecture including service boundaries, communication patterns, API gateways, service mesh, service discovery, and distributed system patterns. Use when building microservi...
Implement uptime monitoring and status page systems for tracking service availability. Use when monitoring application uptime, creating status pages, or implementing health checks.
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
Create safe, reversible database migration scripts with rollback capabilities, data validation, and zero-downtime deployments. Use when changing database schemas, migrating data between systems, or performing l...
Identify differences between current state and desired future state. Analyze gaps in capabilities, processes, skills, and technology to plan improvements and investments.
Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.
Configure network security groups and firewall rules to control inbound/outbound traffic and implement network segmentation.
Determine cause-and-effect relationships using propensity scoring, instrumental variables, and causal graphs for policy evaluation and treatment effects
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.