C++ STL performance example with shared_ptr I just have to say this and move on… If you think it's okay to just use the STL for a project that doesn't need this level of optimization or performance, think again. It is highly likely that your project is not suitable for writing Non GC Native language, so it is recommended to replace it with a VM-based language. I don't use C++ anymore for 99% of my projects.
Founding CEO and Management CEO Founding CEO are the original CEO, that was involved in the creation and early development of the company and tend to have a strong vision for its future, while management CEO are brought in to manage the company after it has been established and help it scale. https://www.youtube.com/watch?v=_bFTmjYVgzE&t=934s https://www.youtube.com/watch?v=l5gy7ITrqH8&t=1655s
This page based on Charts for personal notes. If you want to learn more, please visit the official website. Charts Helm uses a packaging format called charts. A chart is a collection of files that describe a related set of Kubernetes resources. A single chart might be used to deploy something simple, like a memcached pod, or something complex, like a full web app stack with HTTP servers, databases, caches, and so on.
This page based on Using Helm for personal notes. If you want to learn more, please visit the official website. Theree Big Concepts A Chart is a Helm package. It contains all of the resource definitions necessary to run an application, tool, or service inside of a Kubernetes cluster. Think of it like the Kubernetes equivalent of a Homebrew formula, an Apt dpkg, or a Yum RPM file. A Repository is the place where charts can be collected and shared.
What is Helm? Helm helps you manage Kubernetes applications — Helm Charts help you define, install, and upgrade even the most complex Kubernetes application. Charts are easy to create, version, share, and publish — so start using Helm and stop the copy-and-paste. The Purpose of Helm Helm is a tool for managing Kubernetes packages called charts. Helm can do the following: Create new charts from scratch Package charts into chart archive (tgz) files Interact with chart repositories where charts are stored Install and uninstall charts into an existing Kubernetes cluster Manage the release cycle of charts that have been installed with Helm For Helm, there are three important concepts:
- 지은이: 정희원
- ISBN: 979-11-407-0258-9 03510
If you provide feedback, it is important to also include suggestions for improvement
C++ to Go Introducing Ziegel 박재완 Luft Ziegel and TrailDB Luft OLAP database for analize the analyzing user behavior in real-time Use TrailDB as a storage Written in C/C++ and Go TrailDB TrailDB is an efficient tool for storing and querying series of events Written in C Ziegel New storage engine for the Luft Written in Go Why?
December 2022 Guido van Rossum: Python and the Future of Programming | Lex Fridman Podcast #341 GitHub Copilot Are programmers jobs threatend by the existence of stack overflow? I don't think so. Agreed. If it is truly important to you, you’ll find a way; if it is not, you’ll find an excuse. - anonymous 2022년 10월 중대한 결정을 지혜롭계 하는 법 일단 마음 내키는대로 결정하고, 그 뒤에 벌어질 일들을 담대하게 마주하라
코호트 분석 원하는 유저군(코호트)을 잡아서 해당 유저들의 행동을 분석하는 기법 예: “지난 6개월간 우리 앱에서 한달에 10만원 이상 소비한 30대 여성"이란 유저군을 잡은 후, 해당 유저군의 리텐션 (재방문률)을 분석 분석방법 Amplitude, Google Analytics 등의 외부 솔루션 사용 장점: 개발 비용이 없음 단점: 솔루션 비용 발생 솔루션에 의존하게 됨 RDB(OLTP) 사용 장점: 익숙함 단점: 일정 규모를 넘어가면 성능문제로 문제해결 불가능함 데이터 파이프라인을 구축(Snowflake, Apache Kafka 등 활용) 장점: 익숙함 단점: 생각보다 많은 비용 코호트 분석용 OALP 데이터베이스를 직접 개발: https://engineering.