Shar

🇮🇳

[Deepika Narayan Bhardwaj @DeepikaBhardwaj]

HE DIED BECAUSE OF ALIMONY!!

3 CRORE DEMANDED

HAD ALREADY PAID 1 CRORE

THAT WITCH CAN ENJOY THE MONEY NOW

[Shar @Peak2win]

@the55kings Qazi young mahi kanika uditi/arifhsa are the top 5 of this season and they will make qazi young top 2 with kanika at 3.

It's a rigged show. Bkl maine galti Kari gullu ki wjh se wps dekhkr

[Shar @Peak2win]

@BiggBoss24x7 Most prolly Mary's lifeline will be gone this wkv

[Shar @Peak2win]

@HaterKarnataka BIG L
He was just copying old contestants scripts of picking up fights and unnecessary drama. He always tried to create things to show himself in limelight. (Ain't real irl )

[Ghar Ke Kalesh @gharkekalesh]

A Chinese man creates a bizarre “dog-beating stick” that smacks stray dogs when they chase his bike 💀😭

[Shar @Peak2win]

@tanay_rai29210 @menrsuperiorrr Ayien what traits

[Shar @Peak2win]

@tanay_rai29210 @menrsuperiorrr Ik mere school ki thi🤣

[Shar @Peak2win]

@AnshSandhu5859 @Saumya_m21 She is saying ak prentended splits uski wjh se chala tah but kaira replied with tu side character thi uss show ki etc

[Shar @Peak2win]

@thisshail @vibinginfiction @JioHotstar Nahi aaega ig coz new season ke rights nahi hai Jiohotsar ke pass iske

[Shar @Peak2win]

@digital_newshub Should have entered BB with reem shiekh

[Shar @Peak2win]

@leftwhales Nahi aaegi wps wo

[Shar @Peak2win]

@digital_newshub Qazi ki g mai ghus jao bkl.

[Shar @Peak2win]

@MOHAMMADTamee14 @HaterKarnataka Still nahi jeet paate log iske baad bhi
He literally won every argument with logic inmai se ek bhi reply nahi de pata tah usko
. Aaise to they made vivian top 2 and idk kitne favours diye honge ussh.

[Shar @Peak2win]

@WrestleFeatures Def Roman Reigns.
He should start his gimmick of Bloodline Hunter.

[Suraj Sharma @suraj_sharma14]

As a Backend Engineer in the AI era, you must build these projects.

1.) High-Concurrency HTTP Server
Build: Go or Rust server handling 10k+ concurrent connections with graceful shutdown and backpressure.

Why: Concurrency architecture is the one thing AI cannot design for you.

2.) Multi-Tenant Hybrid Search Database
Build: Postgres with Row-Level Security + pgvector + BM25 hybrid ranking across isolated tenants.

Why: Structured data and semantic embeddings now share one query engine.

3.) Event-Sourced Order Pipeline
Build: Kafka or NATS pipeline with immutable events, dead-letter queues, exactly-once semantics.

Why: AI workloads are slow and async. The main thread must never block.

4.) Durable Onboarding Workflow
Build: 3-day Temporal workflow with checkpoints, retries and human approval steps.

Why: Background jobs are for emails. Durable execution is for multi-step agents.

5.) AI Gateway with Semantic Cache
Build: Proxy that caches similar prompts via embeddings, enforces token budgets and fails over to a cheaper model on 503s.

Why: The gateway protects your margins and your uptime from flaky, expensive LLM APIs.

6.) PII-Redacting Auth Middleware
Build: OAuth2/OIDC provider plus middleware that masks PII before logging and restricts AI agents to read-only DB roles.

Why: When agents can write to your database, a prompt injection is a data breach.

7.) Real-Time Streaming Dashboard
Build: SSE/WebSocket dashboard streaming LLM tokens and database updates simultaneously with backpressure.

Why: Time-To-First-Token and perceived latency are the new UX standards.

8.) Correlated Tracing Pipeline
Build: OpenTelemetry + Langfuse pipeline linking each HTTP request to the exact LLM prompt and DB query it triggered.

Why: You cannot debug a hallucination without replaying the exact context the model saw.

9.) Ephemeral Environment Provisioner
Build: Terraform or Pulumi scripts spinning up a complete isolated staging environment for every pull request.

Why: Manual deployments are a liability. Infrastructure must be version-controlled and reproducible.

10.) Queue-Based Autoscaler
Build: KEDA autoscaler spinning nodes up on Kafka queue depth and down when empty with spot-instance fallback.

Why: Backend engineers now own the cloud bill. Idle resources burn runway.

11.) Globally Distributed Rate Limiter
Build: Redis-backed distributed rate limiter that survives network partitions gracefully.

Why: Architecture must degrade gracefully not cascade into total outage.

12.) Chaos Engineering Suite
Build: Fault-injection harness (latency, replica kills, partitions) with SLO burn dashboards.

Why: Resiliency is proven under failure not in diagrams.

13.) Webhook Reconciliation Engine
Build: Idempotent event processor with exponential backoff, dead-letter queues and replay tooling.

Why: Real integrations fail constantly. Reconciliation is what makes them trustworthy.

14.) Cost-per-Request FinOps Dashboard
Build: Per-tenant, per-endpoint, per-LLM-call cost rollups with anomaly alerts.

Why: Visibility is control. You cannot optimize what you cannot attribute.

15.) Public Architecture Teardown
Build: 3 published deep-dives with system diagrams, ADRs and latency/cost benchmarks.

Why: Senior engineers are hired for their judgment not their syntax.

Systems that prove you can scale, secure & ship when agents touch your stack.

Most people watch tutorials. Builders ship systems.

Bookmark & Repost.

[Shar @Peak2win]

@RajivAh61683480 @Kunalbhansali24 @GlamWorldTalks Teach Biology then we eat lolipop 🤡 iske baad bhi tum andhe hi raho

[Shar @Peak2win]

@digital_newshub Ig bring Siwet and reem

[SidharthVijay @SidharthVijay_]

Current AI ranking after Gemini 4 Argon. 💀

[Shar @Peak2win]

@Om_Codes_ Bakchodi for engagement