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observability
Distributed tracing with Jaeger, OpenTelemetry, and observability platforms for microservices insights
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logging
Centralized logging with ELK Stack, Loki, Fluentd, and log analysis for distributed systems
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containers-skill
Docker and Kubernetes - containerization, orchestration, and production deployment.
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gitops
GitOps practices with ArgoCD, FluxCD, and declarative infrastructure management
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service-mesh
Service mesh technologies including Istio, Linkerd, Consul, and Envoy for microservices communication
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aws-security-best-practices
Implement comprehensive AWS security controls and compliance
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aws-rds-setup
Deploy and configure RDS/Aurora databases with HA and security
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aws-vpc-design
Design and implement production-grade VPC architectures
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aws-ec2-deployment
Launch, configure, and manage EC2 instances with best practices
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aws-iam-setup
Configure AWS IAM users, roles, policies, and identity federation
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aws-cost-optimization
Optimize AWS costs through resource rightsizing and savings strategies
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aws-s3-management
Configure S3 buckets with security, lifecycle, and replication policies
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aws-cloudformation
Infrastructure as Code with CloudFormation templates and stacks
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aws-cloudwatch
Implement monitoring, alerting, and observability with CloudWatch
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GitHub
aws-ecs
Deploy and manage containerized applications on ECS/Fargate
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aws-lambda-functions
Build optimized serverless functions with Lambda
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aws-codepipeline
Build automated CI/CD pipelines with CodePipeline and CodeBuild
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GitHub
rag-systems
Retrieval Augmented Generation systems with vector search, document processing, and hybrid retrieval.
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GitHub
evaluation-metrics
LLM evaluation frameworks, benchmarks, and quality metrics for production systems.
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GitHub
agent-frameworks
AI agent development with LangChain, CrewAI, AutoGen, and tool integration patterns.
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GitHub
llm-basics
LLM architecture, tokenization, transformers, and inference optimization. Use for understanding and working with language models.
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GitHub
vector-databases
Vector database selection, indexing strategies, and semantic search optimization.
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GitHub
model-deployment
LLM deployment strategies including vLLM, TGI, and cloud inference endpoints.
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GitHub
fine-tuning
LLM fine-tuning with LoRA, QLoRA, and instruction tuning for domain adaptation.
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