This guide provides a practical, step-by-step introduction to performance testing to ensure applications can handle real-world user loads without failing.
In the current modern distributed architecture, this article will explain how to execute a Kubernetes Job with optimized and multiple parallel worker processes.
We'll analyze the performance of PostgreSQL full-text search (FTS) versus pattern and regex searching, highlighting trade-offs and execution efficiency.
Learn how to build resilient microservices with Kubernetes, gRPC, and the Circuit Breaker pattern to prevent cascading failures and improve reliability.
Optimize Spark jobs by tuning configurations, writing efficient code (Data Frames, broadcast joins), using optimized storage, and monitoring the Spark UI and logs.
Synthetic data lets quants stress-test equity strategies beyond noisy markets, preserving volatility, and building resilience before risking real capital.
AI doesn’t need new infrastructure — just smarter use of what you already have. Scale it securely and efficiently using your existing Cisco and VMware infrastructure.
How cloud developers can build highly scalable applications with zero initial cost of running the infrastructure and scale them to millions of user requests.
GPT-OSS:20B's MXFP4 quantization requires H100+ GPUs. Use GGUF quantized versions from Hugging Face for dramatically faster consumer hardware performance.
We explore why product professionals risk sleepwalking into strategic irrelevance by over-trusting AI, relying on flawed metrics, and losing direct customer insight.