February 16, 2026 at 03:27 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Real-time applications live and die by latency, throughput, and how quickly you can turn fast-moving events into decisions. Two popular technologies often considered for these systems are Redis (an in-memory […]
February 13, 2026 at 03:52 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Choosing a database isn’t just a technical checkbox-it shapes your product’s performance, scalability, developer experience, and long-term costs. If you’re comparing PostgreSQL vs MongoDB vs DynamoDB, you’re likely building something
PostgreSQL vs MongoDB vs DynamoDB: How to Choose the Right Database for Your App in 2026 Read More »
February 13, 2026 at 03:54 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Database choices often feel “technical” and therefore easy to postpone-or delegate without much oversight. But in practice, database decisions are business decisions. They shape performance, reliability, security, reporting, delivery speed,
Database Decisions That Turn Into Expensive Mistakes (and How to Avoid Them) Read More »
February 12, 2026 at 02:28 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Machine learning teams often hit the same wall: it’s not the model that’s hard-it’s everything around it. Reproducibility, experiment tracking, consistent deployments, automated retraining, monitoring, and governance quickly become the
MLflow and Kubeflow: Practical MLOps for Machine Learning Teams (Without the Hype) Read More »
February 12, 2026 at 04:13 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Vector databases have quickly become a foundational piece of modern AI-especially if you’re building applications powered by semantic search, recommendation systems, RAG (Retrieval-Augmented Generation), or LLM chatbots over private data.
Vector Databases Explained: Pinecone, pgvector, and Neo4j (Plus How to Choose) Read More »
February 04, 2026 at 12:17 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern analytics and AI projects live or die by data movement. You can have a best‑in‑class warehouse, a solid BI layer, and a high-performing ML stack-and still struggle if your
Airbyte: Open‑Source Data Integrations That Actually Scale (Without Lock‑In) Read More »
February 02, 2026 at 01:24 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern businesses don’t just store data-they move it. Customer clicks, payments, IoT telemetry, application logs, and operational events are generated continuously, and teams increasingly need those signals in real time
January 29, 2026 at 04:30 PM | Est. read time: 15 min By Valentina Vianna Community manager and producer of specialized marketing content Modern data architecture isn’t just an IT topic-it increasingly shapes speed to market, customer experience, operational efficiency, and compliance risk. The way your company collects, governs, shares, and uses data determines whether
January 30, 2026 at 01:34 PM | Est. read time: 11 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Data Mesh has become one of the most talked-about approaches in modern data architecture-and for good reason. It promises faster delivery of data products, better alignment between data and business
Is Data Mesh Right for Every Company? Benefits, Risks, and Real-World Trade‑offs Read More »
January 30, 2026 at 01:30 PM | Est. read time: 10 min By Laura Chicovis IR by training, curious by nature. World and technology enthusiast. Modern data teams are under pressure to do everything at once: power dashboards, support ad hoc analysis, run machine learning, and keep governance airtight-all while costs and complexity keep rising.