Judge Gaiya | Backend Dev

The Backend Judge ⚖️
Building systems & breaking bad decisions.
Documenting the thinking behind the code.✊

[Judge Gaiya | Backend Dev @BackendJudge]

A company processing $21 billion daily lost $440 million
in 45 minutes.

Not hackers. Not a crash.

One server out of eight didn't get updated during deployment.

3 lessons. Real case study. Full breakdown 👇

https://t.co/5hXC5weJ7e

[Judge Gaiya | Backend Dev @BackendJudge]

@KashamOnchain @KyennMark This is good.
Explored @ShiftRWA platform and features and it's mind blowing

[KASHAM @KashamOnchain]

@KyennMark this is my entry

[Judge Gaiya | Backend Dev @BackendJudge]

@zillionokoye Code🙏

[Judge Gaiya | Backend Dev @BackendJudge]

900 million users.
50 engineers.

While others hired more people to scale —
WhatsApp chose the right tool.

Erlang. Built for telecoms in the 1980s.
Weaponized for messaging in 2014.

That's architectural judgment.

Full breakdown on YouTube 👇
https://t.co/NX7NATC9fE

[Judge Gaiya | Backend Dev @BackendJudge]

Knight Capital was one among the biggest US market markers and brokers as of the time before August 1st, 2012.

They are known for their fast market execution and ahead of their competitors.

As of the time they had cash and equities worth $360 million...

[Judge Gaiya | Backend Dev @BackendJudge]

Have you heard about the story of knights capital Group?

A tragic incident that happened to the New York Stock Exchange (NYSR).

A financial company that could not survive system failure not because of a line of code but because of a partial deployment...

[Judge Gaiya | Backend Dev @BackendJudge]

Most developers learn frameworks few learn system thinking.

They know how to build endpoints, but struggle to reason about:
-Scalability
-Failures
-Data flow
-Bottlenecks
-Trade-offs

Framework knowledge gets you started, System thinking is what makes engineers valuable.⚖️

[Judge Gaiya | Backend Dev @BackendJudge]

The revealing

[Judge Gaiya | Backend Dev @BackendJudge]

Distributed Data Systems simply means:
data is stored and processed across multiple machines instead of one server.

Why?

- Scalability
- Fault tolerance
- High availability
- Faster processing

That’s why companies like Netflix, Google, and Amazon rely heavily on them.

[Judge Gaiya | Backend Dev @BackendJudge]

CAP theorem humbled a lot of backend engineers.

You cannot fully guarantee:
Consistency
Availability
Partition tolerance

Once network partition happens
one has to give.

Distributed systems are not about perfect choices
They are about choosing the failure you can live with.⚖️

[Judge Gaiya | Backend Dev @BackendJudge]

Distributed systems sound powerful until network failure enters the chat.

Many backend devs focus on scalability, but forget:
Partial failures
Replication lag
Eventual consistency
Distributed tracing

A system is not truly distributed until failure becomes part of the design ⚖️

[Judge Gaiya | Backend Dev @BackendJudge]

Have you heard of a Distributed Data Systems?

Have you heard of CAP theorem?

[Judge Gaiya | Backend Dev @BackendJudge]

@MbariziSharon The black skin 👊
This for me symbolize resilience, strength and hope for a better day

[Judge Gaiya | Backend Dev @BackendJudge]

@warmhostage Lines 🥱

[Judge Gaiya | Backend Dev @BackendJudge]

@warmhostage Hehehehe 🤣🤣

[Judge Gaiya | Backend Dev @BackendJudge]

@Fearlezz000 🤣🤣

[Judge Gaiya | Backend Dev @BackendJudge]

@Fearlezz000 Congratulations man

[Omwamba Family🇰🇪 @OmwambaFamily]

We follow all who repost and comment immediately

[Judge Gaiya | Backend Dev @BackendJudge]

@koxmusaInc_ The guy is good