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News

DEV Community
dev.to > machinecodingmaster > stop-using-round-robin-high-throughput-java-virtual-thread-routing-with-p2c-3kg3

Stop Using Round-Robin: High-Throughput Java Virtual Thread Routing with P2C

1+ hour, 7+ min ago   (592+ words) Virtual threads allow Java microservices to comfortably run 50,000 concurrent requests per instance, but your legacy round-robin load balancer is utterly destroying your p99 latency. Blindly distributing traffic without accounting for dynamic queue depth creates catastrophic head-of-line blocking across Loom-enabled nodes. Why…...

DEV Community
dev.to > vaibhav_shukla_20 > building-an-autonomy-error-budget-gateway-with-signoz-and-opentelemetry-4ia3

Building an Autonomy Error Budget Gateway with SigNoz and OpenTelemetry

1+ hour, 16+ min ago   (647+ words) I built an AI agent that's allowed to run database migrations and clean up staging tables on its own. Then I built a second system whose only job is to take that permission away the moment things start going wrong....

DEV Community
dev.to > hypernexus > dual-tier-memory-architecture-for-ai-agents-how-local-vector-search-scales-to-14726-memories-2617

Dual-Tier Memory Architecture for AI Agents: How Local Vector Search Scales to 14,726 Memories Without Pinecone

2+ hour, 35+ min ago   (699+ words) Discover how a dual-tier AI memory architecture using L1 scratchpad and L2 vault achieves 94ms retrieval across 14,726 memories with zero cloud dependency. Learn why local sqlite-vec vector memory outperforms Pinecone for agent context workflows. Every production AI agent faces the same brutal constraint:…...

vLLM
docs.vllm.ai > en > latest > api > vllm > v1 > fault_tolerance

fault_tolerance

7+ hour, 40+ min ago   (60+ words) Manages fault tolerance state for a single engine core. Push current health to the client so it can refresh its cache. Reinit DP process group if in DP mode. Returns worker params. Dispatch an FT command by instruction name. Called…...

DEV Community
dev.to > shubham399 > type-driven-security-reducing-owasp-risk-with-strong-types-3b3o

Type-Driven Security: Reducing OWASP Risk With Strong Types

5+ hour, 44+ min ago   (103+ words) How strong types can reduce common OWASP risks through DTOs, branded IDs, parameterized SQL, safe HTML handling, and runtime validation. Tagged with functional, security, programming, typesystems....

DEV Community
dev.to > aws-builders > blocking-bots-with-amazon-cloudfront-functions-final-part-what-to-log-and-how-to-detect-them-dli

Blocking Bots with Amazon CloudFront Functions, Final Part: What to Log and How to Detect Them

5+ hour, 52+ min ago   (1345+ words) In the previous article, I built an application detects → edge blocks feedback loop. However, I did not cover the most important part: how the application should actually detect malicious behavior. Without that piece, many readers may still be wondering what…...

DEV Community
dev.to > yeauty > extracting-video-frames-in-rust-in-process-no-cli-no-hand-written-decode-loop-3393

Extracting video frames in Rust, in-process — no CLI, no hand-written decode loop

7+ hour, 52+ min ago   (285+ words) Neither path is wrong. When the output is a file and the recipe exists, the CLI is still the right answer; when you need packet-level control, the raw bindings are irreplaceable. They just never made the specific thing — get a…...

Chat-Deep.ai
chat-deep.ai

DeepSeek API Balance Endpoint: Live Check and Monitoring

10+ hour, 15+ min ago   (1701+ words) Live test: July 25, 2026 | Official endpoint | Three privacy-safe requests | All monetary values redacted This is an independent technical test. Chat-Deep.ai is not the official DeepSeek Platform or billing portal. If you still need general setup, start with our published DeepSeek…...

DEV Community
dev.to > olayinka_adejugbe_5eed734 > benchmarking-chatgpt-vs-perplexity-on-real-time-market-data-latency-accuracy-and-hallucination-5g79

Benchmarking ChatGPT vs. Perplexity on Real-Time Market Data: Latency, Accuracy, and Hallucination Rates

8+ hour, 20+ min ago   (168+ words) ChatGPT vs. Perplexity: Which AI Handles Live Market Data Better? Live financial data is the ultimate stress test for LLMs. Web search latency, strict API limits, and numerical hallucinations can easily ruin an extraction pipeline. To see which tool handles…...

DEV Community
dev.to > budiwidhiyanto > why-i-put-mirth-connect-in-front-of-fastapi-instead-of-parsing-hl7-in-python-jh3

Why I Put Mirth Connect in Front of FastAPI Instead of Parsing HL7 in Python

8+ hour, 49+ min ago   (1387+ words) When I started building my Maternity HL7-to-FHIR Pipeline, my first instinct was to do everything in Python. Parse the HL7 message, map the fields, validate the FHIR resource, persist it, all in one FastAPI service. It was clean. It was simple....