Workstation ब्लॉग
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AI अवसंरचना, MLOps, मॉडल और प्रोडक्शन में तैनाती पर व्यावहारिक मार्गदर्शिकाएँ।
Pixel-Space Diffusion Is Back: What Changed and How to Evaluate It
Diffusion directly on pixels now competes with latent diffusion, without a separately trained autoencoder. What HDiT, SiD2, JiT and 2026 research changed, where pixel models still lose detail, and a practical way to test the trade-off on your own images.
Cutting LLM Inference Costs: Lessons from Cloudflare's 68% Cut
Cloudflare cut its AI code reviewer's average cost per review by 68%. Here is what that number does and does not mean, and a measured playbook for your own workload: prompt cache breakpoints, fewer agent calls, right-sized models and batch.
LLMs Write Code, But Don't Fix Silos
Generative AI is changing how software gets built by shifting where developer skill is applied. The thesis is straightforward: LLMs accelerate code production…
Blast Radius Analytics
The Complexity of Modern Distributed Microservices Modern banking, healthtech, and tax platforms are no longer monoliths. They are composed of hundreds of…
Beyond Unit Tests: Testing How Your System Fails and Recovers
Unit tests prove a function is correct, not that a system survives a slow database or a lost zone. A practical guide to cold-start integration tests, fault injection with Toxiproxy, circuit breakers, recovery drills and safely automated mitigation.
AI's Double-Edged Impact on DevOps: Faster Changes, Shakier Releases
DORA's research links AI adoption to lower delivery stability. A new simulation shows why: AI-written code overloads review and enlarges deployments, while CI agents can mask defects. Here is how to measure it and keep the speed.
Gateway API Shifts Cluster Networking: An Ownership Model for the Edge
Ingress is frozen and Ingress NGINX is retired. Gateway API replaces one shared object with resources owned by platform and application teams, joined by explicit handshakes. Here is what that means for platform design, RBAC, topology and CRD ownership.
Agentic AI in Production: Permissions, Approval Gates, Traces and Evals
A practical playbook for running AI agents in production: classify every tool by side effect, gate mutations behind a human, set hard stop conditions, trace each step with OpenTelemetry and evaluate continuously.
MCP for DevOps: Give Agents Pipeline Context Without the Keys
How platform teams can use the Model Context Protocol safely: start with read-only servers and scoped identities behind a gateway, trace every tool call, and add write tools only behind human approval. Includes RBAC, tool and task examples.
