Better Dev Link

Have ever feel frustrated reading a whitepaper without code? So either you have to re-implement to verify or use the research theory? This site is a directory of paper with its code, as in they have a github repository.

A software developers guide to writing and migrating networked applications for use on ipv6 networks. Discuss strategies for apps supporting both ipv4 and ipv6 during the transition. Not just in term of network, it also discussed how to store ipv6 into database effectively. How to deal with ipv6 in your programing language etc. So a great guide both in term of networking and programming.

Is writing to a file from multiple processes safe? As in they won’t corrupted the file or overwride each other? and will all get append properly.

Jepsen is a framework to test distrubuted system. It uncovered many bugs in system like MongoDB, Riak, Redis, ElasticSearch. But what do you do if you are a developer and your app failed at Jepsen test. This is a journey of a dgraph developer try to fix one of the most complicated Jepsen test using distributed tracing. The test is so hard that you cannot just think of theory to quickly try fixing out blindly.

Recently Apple has a Zero-Day in thir Sign In with Apple system, which allow a way to login as anybody. The core issue is not validating user input data. If a single thing you can learn from this article is this: always validate user input data, especially in a multi steps flow, validate at every steps.

All code examples are JavaScript/Node but generally all good rule: never use GET to modify state, csrf token, check origin header, Use SameSite cookies, write nagtive test cases.

There are many ways of addressing performance bottlenecks, but for the sake of discussion here are several ways we can look at this issue: Tuning Performance Parameters, Session Connections, Bloat, Autovacuum, Data Hotspots, Competing Application Processes

A series about Postgres locks. This part is about dead lock, object-level locks and predicate locks.

Awk crunches massive data; a High Performance Computing (HPC) script calls hundreds of Awk concurrently. Fast and scalable in-memory solution on a fat machine.

Leverage ffmpeg. ffmpeg is awesome but it’s huge so knowing how to put thing together is a nice first step to get into video programming.

The code example is in Go but it introduce you to structure of JVM and how much you can achieve with a short amount of code. Also a good chance to understand some aspect of JVM, regardless you like Java or not, I think this is a great artcile and will level up your knowledge.