惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

F
Full Disclosure
WordPress大学
WordPress大学
小众软件
小众软件
Cloudbric
Cloudbric
AWS News Blog
AWS News Blog
腾讯CDC
量子位
人人都是产品经理
人人都是产品经理
大猫的无限游戏
大猫的无限游戏
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
V
Vulnerabilities – Threatpost
Scott Helme
Scott Helme
Hugging Face - Blog
Hugging Face - Blog
博客园_首页
C
CXSECURITY Database RSS Feed - CXSecurity.com
The Hacker News
The Hacker News
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
IT之家
IT之家
Jina AI
Jina AI
Attack and Defense Labs
Attack and Defense Labs
S
SegmentFault 最新的问题
Simon Willison's Weblog
Simon Willison's Weblog
The Cloudflare Blog
阮一峰的网络日志
阮一峰的网络日志
T
Tailwind CSS Blog
Last Week in AI
Last Week in AI
博客园 - 【当耐特】
Google Online Security Blog
Google Online Security Blog
美团技术团队
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
V
Visual Studio Blog
罗磊的独立博客
L
LINUX DO - 最新话题
博客园 - Franky
博客园 - 叶小钗
Apple Machine Learning Research
Apple Machine Learning Research
The Last Watchdog
The Last Watchdog
J
Java Code Geeks
AI
AI
C
Cisco Blogs
酷 壳 – CoolShell
酷 壳 – CoolShell
C
Cyber Attacks, Cyber Crime and Cyber Security
Cisco Talos Blog
Cisco Talos Blog
博客园 - 三生石上(FineUI控件)
雷峰网
雷峰网
Help Net Security
Help Net Security
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
云风的 BLOG
云风的 BLOG
I
Intezer
S
Securelist

Maciej Walkowiak - Java & Spring

Blog Generating HTTP clients in Spring Boot application from OpenAPI spec PostgreSQL and UUID as primary key Dynamic Projections with Spring Data JPA Container logs with Spring Boot and Testcontainers Reified Generics in Java? Faster integration tests with reusable Testcontainers and Flyway Running one-time jobs with Quartz and Spring Boot The best way to use Testcontainers with Spring Boot Spring Boot & Flyway - clear database between integration tests What's new in Spring? Activate Maven Profile by Operating System Spring Boot with Thymeleaf and Tailwind CSS - Complete Guide How to publish a Java library to Maven Central - Complete Guide Docker Compose - waiting until containers are ready Single file Java applications with JBang Beautiful bash scripts with Gum Running Java on CRaC How to log PostgreSQL queries with Testcontainers Spring Boot 3.0 & GraalVM Native Image - not a free lunch Creating Spring Cloud Function projects with AWS SAM Loading classpath resources to String with a custom JUnit extension Creating Project Templates with Cookiecutter Auto-Registering JUnit 5 extensions Spring Boot component scanning without annotations Listing Maven dependencies in Spring Boot Actuator Info endpoint Spring Cloud AWS 2.3 RC2 Released How I built vlad-cli - command line interface to Vlad Mihalcea The State of Java Relational Persistence
On Choosing a Tech Stack
2019-04-27 · via Maciej Walkowiak - Java & Spring
Published on
  • Leadership

Choosing a tech stack, framework, library seems to be simple problem to solve - you take the best one available on the market.

The problem is that there is no such thing as the best tech. It all depends on the context and most importantly on the problem you are solving.

When building a proof of concept or an MVP - the reasonable choice is to use something that let you build things rapidly, tools that just lets you validate your assumptions, get funding or whatever short term goal you have.

Working for established company or in a project with long term goals requires different thinking. Below is the list of things - built collectively on Twitter I believe you should consider before making any important choices:

  • 🤷‍♂️ if existing team is familiar with it
  • 🕜 how long will it take until they learn it
  • 🤯 how tough will it be if the most experienced person leaves
  • 👷‍♂️ how much maintenance does it require - is it managed or you need to take care about backups, updates, keeping it alive
  • ⚡ do you value more the powerful features or the ease of use and high team velocity as a result
  • 👩 who's behind it. Will it be around in few years?
  • 🏍️ how hard will it be to replace with something else in the future?
  • what is the track record of the provider for maintaining backwards compatibility and easing upgrades? (thanks Corneil)
  • 🤝 is it open source, how big and active is the community behind it? (thanks Ania)
  • 📚 what's the quality of documentation? (thanks Ania)

Bringing all these questions to the group may end up in endless discussions - everyone has a little bit different view on quality and complexity.

Discussion around these kind of topics needs a structure - the best if the structure is optimised for focusing on important parts and skipping the "personal preference".

I find technique called Architecture Decision Records not only a great way to document significant architecture decisions but also a format that structures the discussion around the problem.

It's important to keep tech stack relatively small. Don't use something because it's cool or because you want to learn it - in the end it may have long term consequences for the team or whole company (unless you're a solo developer or it's a proof of concept/MVP).

There are no silver bullets - every choice comes with pros and cons - and it's ok, let's just do our best to be aware of them and the consequences before the actual choice is made.

As a general rule I aim for simple tools first - complexity is a velocity killer 🐌.

You can get really far without using any top tech considered nowadays as "industry standard". Pieter Levels built $1M business using plain PHP and jQuery - just by himself.

Keep It Simply Stupid.

Let's stay in touch and follow me on Twitter: @maciejwalkowiak

Subscribe to RSS feed