Vishwasec·Oct 12Multi-Honeypot Deployment with Centralized ELK Logging on AWSA hands-on project in log collection, centralization, and investigationA response icon1A response icon1
Jatinkumar Parmar·Sep 15How we trained the fastest DSpark for Kimi-K3 using GB300 NVL72In oct , DeepSeek shipped DSpark, an extension to the DFlash block-level speculative decoding algorithm. The new algorithm promised…
Hao·Aug 25From FlatParameter to DTensor: PyTorch’s Native Parallelism Stack in the FSDP2 EraThe 2024 AWS blog post Accelerating Llama3 Training with HSDP and Model Parallelism [14] described an FSDP1-era approach that combined…
Sergiy Yevtushenko·Apr 2We Should Write Java Code Differently: Frictionless ProdA response icon2A response icon2
InStackademicbyDolly·Mar 13🔄 Distributed Transactions in Microservices: Two-Phase Commit vs Saga PatternHow microservices maintain data consistency across multiple services and databases
InSystem WeaknessbyDolly·Mar 11Spring Boot Saga Pattern: Managing Distributed Transactions in MicroservicesHow to maintain data consistency across multiple services using the Saga Pattern
PB·Mar 2We Are Losing Our Minds at Work -and Pretending It’s FineThere’s a strange thing happening in modern work.
Karuna·Feb 28⚠️ Distributed Transactions in Spring Boot: Why They Break in Production (And What Actually Scales)Distributed transactions look clean in architecture diagrams.A response icon1A response icon1
Lakshu·Feb 27🔥 Distributed Transactions in Spring Boot: Why They Fail (And What Actually Works)Distributed transactions sound powerful.
Shyam Varshan·Feb 13Demystifying Apache Kafka: The Central Nervous System of Modern DataIn the early days of software architecture, connecting systems was relatively straightforward. App A needed to send data to Database B…
