Bryan Agam
25.4K posts

Bryan Agam
@bryanagamk
Kaya bermanfaat, miskin bermartabat




Want to be a backend architect ? Please learn : 1. Microservices Design Service decomposition, Bounded contexts, Resilience (Circuit Breaker, Bulkheads) 2. Distributed Systems Fundamentals CAP Theorem, Event sourcing, CQRS, Data consistency models (ACID vs. BASE) 3. High-Performance Data Management Database partitioning, Index optimization, NoSQL data modeling 4. Advanced API Design gRPC, GraphQL, API Gateways, Asynchronous APIs 5. Event-Driven Architecture Kafka, Message queues, Pub/Sub patterns, Saga pattern 6. Cloud-Native Patterns Container orchestration (Kubernetes), Serverless, Multi-cloud strategies 7. Observability Distributed tracing (OpenTelemetry), Centralized logging (ELK), Real-time monitoring 8. Infrastructure as Code Terraform, Helm, Configuration management best practices 9. Advanced Security Zero Trust, OAuth2, JWT, Data encryption in transit and at rest 10. Scaling Strategies Load balancing, Sharding, Horizontal vs. vertical scaling


TOO EZ 😎

Kalau kamu bukan orang IT, tapi pengen belajar IT/Informatika/Ilmu Komputer, kamu bisa mulai dengan kursus gratis CS50: Introduction to Computer Science dari Harvard University. @cs50 Melalui kursus ini, kamu bisa belajar: - Intro ke computer science (luas tapi robust). Fundamental seperti ini penting supaya kamu beneran solving problems, bukan hanya asal bikin aplikasi kayak pemerintah (oops) - Kamu akan belajar BERPIKIR KOMPUTASIONAL. Karena solusi digital hanya bisa dihasilkan dengan optimal kalau kamu menggunakan pendekatan atau cara berpikir komputasional dalam memecahkan masalah. - Kamu akan belajar tentang abstraksi, algoritma, struktur data, enkapsulasi, pengelolaan sumber daya, keamanan siber, rekayasa perangkat lunak, pengembangan web, dan AI - Bahasa pemrograman yang akan kamu kenal di sini mulai C, HTML, Python, SQL, JavaScript.. - Membangun dan bertumbuh bersama komunitas melalui berbagai platform - Bikin proyek akhir hingga presentasi. Instrukturnya adalah Professor favoritku, yaitu @davidjmalan Bisa ikut di pll.harvard.edu/course/cs50-in…


Gue gabisa tau ngomong deep 4 mata sama bapak/ibu gue, ujung2nya gue nangis anj 🥹 kenapa gitu ya? Kalian ada yang sama kah?




Pantesan yah influencer/artis pada kaya kaya orang sekali endorse ada yang seharga mobil, when yah kita bisa ngerasain 🤭


It's so easy to think you're untalented, maybe even dumb, when really you're just unpracticed on some prerequisite skills. Reminds me of the time I tutored a Real Analysis student who hadn't gotten much practice with proof-writing beforehand. She thought she was gonna fail the class. She thought she might just not be cut out for it. But we just shored up some of those missing proof foundations and then she came out with a well-deserved A. And then she took Fourier Analysis the following year and crushed it. Didn't even need my help. There is also a flipside: it's very easy to think you're a genius, when really you're just better-practiced on prerequisite skills than everyone around you. That's actually a great situation to be in, provided that you recognize why things are going so well for you -- but if you conclude that "geniuses like me don't need much practice," then, well, your advantage is short-lived. The moral of this story is that prerequisite knowledge is intellectual capital and can take you from academic rags to riches -- or from riches to rags, if you squander it.













