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⚡ Performance Engineering
Optimization, Profiling, Benchmarking, Tuning
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13837
posts in
25.2
ms
From 800ms to ~25ms:
harness-driven
optimization of a CUDA
matmul
kernel
🚀
Performance
github.com
·
6d
·
Hacker News
TurboQuant
on a MacBook Pro, part 2: perplexity, KL
divergence
, and asymmetric K/V on M5 Max
🚀
Performance
llmkube.com
·
1d
·
r/LocalLLaMA
Engineering approach: Startup Mode v/s Big Tech Mode
🚀
Performance
dev.to
·
23h
·
DEV
Java Performance
Tuning
and Event-Driven System Design for
Scalable
Systems
📡
Event-Driven Architecture
medium.com
·
6d
Performance Test:
Ollama
0.5.0 vs.
vLLM
0.4.0 Local LLM Inference Latency on NVIDIA RTX 5090 and AMD Radeon RX 8900 in 2026
🦙
Ollama
dev.to
·
1d
·
DEV
vnmoorthy/pavo-bench
: A 50K-turn voice pipeline benchmark and an 85K-param meta-controller that cuts P95 latency 10.3% and energy 71% vs fixed cloud.
TMLR
2026.
🚀
Performance
github.com
·
2d
·
Hacker News
Letting Claude Code's
Routines
continuously
tune my CLI's performance
🚀
Performance
dev.to
·
3h
·
DEV
Easily
benchmark all your app's
endpoints
at once
⚡
FastAPI
dev.to
·
20h
·
DEV
sdeonvacation/throttle
: A sophisticated task execution framework in Java that automatically adapts to system resource availability.
🚀
Performance
github.com
·
5d
·
DEV
Benchmark: Vector 0.40 vs.
Fluent
Bit 3.0 Log Processing
Throughput
for 100k Logs/Second
🚀
Performance
dev.to
·
1d
·
DEV
Architecture Teardown: Kubernetes 1.32 Control Plane
Internals
and Performance
Optimizations
📬
Message Queues
dev.to
·
2d
·
DEV
Key Principles of SaaS Performance Optimization for Speed,
Scalability
, and
Reliability
🏗
Budget Infrastructure
dev.to
·
3d
·
DEV
Case Study: Reducing Data
Ingestion
Latency by 96.4% (24.5x
Speedup
)
🚀
Performance
dev.to
·
1d
·
DEV
Caddy
2.8 vs
Nginx
1.26: Static File Serving Speed Benchmark 2026
🚀
Performance
dev.to
·
1d
·
DEV
How to Benchmark LLM Inference Performance:
TTFT
,
ITL
, and Throughput Metrics
💸
Affordable LLMs
dev.to
·
4d
·
DEV
What 200
Concurrent
Users Taught Me About
SQLite
Performance
🚀
Performance
dev.to
·
1d
·
DEV
Go 1.25 Green Tea
GC
: Why the 40% Number Is Real for Some
Workloads
🚀
Performance
dev.to
·
2d
·
DEV
The
70B
Threshold: How the RTX 5090
Rewrites
the Home Lab Equation
🧩
LLM Integration
dev.to
·
5d
·
DEV
Under the
Hood
: Go 1.24 and
pprof
1.10’s New Garbage Collector Improvements for Long-Running Services
⚡
Caching Strategies
dev.to
·
1d
·
DEV
RTX 4090 Cooling, LLM
KV
Cache
Quantization
, & Deepseek V4 Flash Models
🚀
Performance
dev.to
·
5d
·
DEV
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