1. Linux
Debugging
ftrace
Proc Filesystem
Profile
CPU Profiling
FileSystem
LTTng:userspace
Memory profiling
Performance Methodologies
Process
Tips
[multitail] 여러 로그 동시에 확인하기
시스템에서 kernel config 확인하기
Compile&Link
[gcc] Warning 옵션
[gcc] 최적화 속성 사용하기
정적 라이브러리 링크
[glibc] malloc, free mechanism
2. Container
Cgroup
1. Cgroup
2. blkio
3. memory
4. cpu, cpuset, cpuaccet
Namespace
1. Namespace
2. PID Namespace
3. User Namespace
4. QEMU
5. Mount namespace
6. UTS namespace
7. Cgroup Namespace
Docker
Docker Basic
Storage
Docker Compose
Dockerfile
Logging
Resource Limitation
3. S/W Architecture
Batch Sequential Architecture
Data Flow Software Architecture
Hierarchical Software Architecture
Pipe and Filter Architecture
Process Control Architecture
소프트웨어 설계의 부패
Cloud
kubeadm으로 kubernetes 설치 및 초기화
4. Machine Learning
Basic Theory
1. Model Representation / Cost function
Software Agent
[Agent] BDI Architecture
[Agent] Communication
[Agent] MAS (Multi-agent System)
[Agent] SW Agent Architecture
Books
프로그래밍 면접 이렇게 준비한다
BPF 리눅스 관측 가능성 향상하기
Head First GO
쿠버네티스를 활용한 클라우드 네이티브 데브옵스
More
Github repo
Linked In
linuxias@gmail.com
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Developer's Delight
> 4. Machine Learning
Machine Leanrning