Rahad

Kernel Hacker

[Rahad @rahadbhuiya]

🚀 Check out my latest write-up on CoderLegion: "What if servers balanced load like Emperor Penguins? Meet HuddleCluster"

Read the full article here: https://t.co/g19lfMs6Xr

#DevCommunity #Tech

[Rahad @rahadbhuiya]

@dev_maims i have a offer for you. dm me

[Rahad @rahadbhuiya]

@maheshnani122 I’d address it at three levels: clear data-handling policy and training, DLP/redaction controls to detect or block sensitive data, and approved enterprise LLMs with proper access controls and audit logs. The goal is to make the secure path the easiest path.

[Rahad @rahadbhuiya]

@Big_Ca_li Exactly. Choosing Redis is only the beginning. A good design also defines its consistency, durability, failure behavior, fallback strategy, and recovery plan.

[Rahad @rahadbhuiya]

@vibeonX69 Cloud storage isn’t “in the cloud” literally. The data is stored on physical servers and storage systems inside the provider’s data centers, with replication for durability and availability.

[Rahad @rahadbhuiya]

@clovisdsdo Exactly. A basic health check proves the server is alive, not that the application is functional. Health checks should validate critical dependencies and flows without becoming too heavy.

[Rahad @rahadbhuiya]

@riya_mishra007 First, check active/long-running queries and locks. A sudden slowdown is often caused by a stuck query or lock contention not the database itself.

[Rahad @rahadbhuiya]

@Tech_p001 A great engineer doesn’t just write code they prevent problems, simplify complexity, design for the future, and know when writing code isn’t the right solution.

[Rahad @rahadbhuiya]

@CodeWithAmann The backend was likely storing auth sessions in memory. Restarting the server wiped them out. Auth state should be persisted in Redis/DB or use properly managed stateless tokens.

[Rahad @rahadbhuiya]

@yashmp2004 Authentication verifies who you are; authorization determines what you’re allowed to do.

[Rahad @rahadbhuiya]

@krunalbuilds A blocking synchronous operation like heavy CPU work, sync I/O, or large JSON parsing can stall Node’s event loop and delay many requests.

[Rahad @rahadbhuiya]

@yashmp2004 Staging environment. If forced to remove one, I’d remove staging and compensate with strong automated tests, canary deployments, feature flags, monitoring, and fast rollback. Backups and monitoring are much harder to replace.

[Rahad @rahadbhuiya]

@yashmp2004 Usually, the endpoint isn’t limited by infrastructure. it’s limited by its workload: slow queries, missing indexes, N+1 calls, locks, external dependencies, or excessive CPU/memory. Profile first, then optimize.

[Rahad @rahadbhuiya]

@MansiCodez The key point is that Java is always pass-by-value. For objects, the value being copied is the reference not the object itself. That’s why mutating the object is visible outside the method, while reassigning the reference isn’t.

[Rahad @rahadbhuiya]

@kav_kavi11 Use the Transactional Outbox Pattern: commit the order and event together in one DB transaction, then asynchronously publish the outbox event to Kafka with retries. No event gets lost.

[Rahad @rahadbhuiya]

@SCR01111 @ShubhamAB74 Check this load balancer, It's open source.

https://t.co/lw7GBq3lXN

[Rahad @rahadbhuiya]

@AiswaryaVenkit1 I especially like the focus on choosing certifications based on the target role and pairing them with real projects practical experience makes the certification much more valuable.

[Rahad @rahadbhuiya]

@dkare1009 The model provides reasoning, but the surrounding architecture provides reliability. The Loop, Graph, Harness, and Meta-Harness form a powerful mental model for building agents that can actually verify and deliver results.

[Rahad @rahadbhuiya]

@yourclouddude AWS architecture is less about memorizing services and more about making the right trade-offs around scale, availability, security, performance, and cost.

[Rahad @rahadbhuiya]

@clovisdsdo The biggest drivers are usually scale, high availability, automated self-healing, rolling deployments, service discovery, and multi-environment orchestration Docker runs containers, while Kubernetes manages them reliably at scale.