This is a guide to building and tuning DPDK with ARMv8, OpenSSL, and IPSec crypto libraries on Ampere processors for optimal packet-processing performance.
In under ten minutes, install Ollama, pull a modern model, call it from Python or REST, and ship a repeatable Modelfile with a quick glance at the security checklist.
Secure RAG chatbot built with Spring AI with local embeddings and PostgreSQL. Hosted on Linux PCs, it ensures privacy, context‑aware answers, reproducible deployments.
Build an AI-augmented data lake using Iceberg, Glue, and Bedrock to turn static metadata into searchable intelligence with semantic tags and AI summaries.
Learn how Kubernetes assigns pod IPs using CNI. This guide breaks down how container networking works and walks through building a simple custom CNI plugin.
Agentic AI addresses API testing issues through test creation and maintenance, intelligent test coverage, and more. Here's how to prepare development workflows for AI.
True resilience means multi-cloud architecture, spreading critical workloads across AWS, Azure, or GCP with shared data, global load balancing, and unified monitoring.
Static IAM users, login roles were killing our security posture and slowing everyone down. So we wired Okta and AWS with SAML and Okta Workflows for JIT access.
Dynamic AWS environments require both reactive and proactive monitoring approaches for secure and reliable operations. Learn about their differences and best practices.
This guide maps core data, big data, and AI/ML concepts between Databricks and Snowflake, with examples, diagrams, and a framework for choosing or combining the two.
A practical guide to versioned caching for static lookup data using cache-control headers, local storage, and data version synchronization between client and server.
Spring Boot makes integration testing incredibly convenient: you have the entire application up and running in your test. But sometimes you can see memory usage spikes.