Cloud & Platform

Cloud infrastructure, DevOps, platform engineering, SRE.

5 articles in this topic

Cloud & Platform

FinOps for AI: Why Traditional Cloud Cost Models Are No Longer Working

AI workloads expose the limitations of traditional cloud cost management. From token economics and GPU utilisation to idle accelerators, request caching, and model routing, effective FinOps for AI requires measuring costs based on successful outcomes rather than just infrastructure spend. Learn how to optimise inference efficiency, control rising API costs, and establish a continuous framework that balances cost, performance, and quality.

Aug 3, 20266 min readEditorial Team

Cloud & Platform

CI/CD Pipelines for Large Teams: How to Keep Velocity Without Breaking the Build

Large teams need CI/CD that ships fast without breaking the build. Learn how to balance delivery velocity with pipeline reliability across parallel feature work and complex products.

Aug 28, 20253 min readSumit Saha

Cloud & Platform

Predictive Network Maintenance: Using AI for Forecasting Network Failures

AI-driven predictive maintenance helps network teams spot failures before they hit. Learn how machine learning on telemetry data forecasts outages and keeps enterprise switching infrastructure running reliably.

Aug 15, 20258 min readAkshat Kapoor

Cloud & Platform

Observability at Scale

Large-scale systems need more than alerts. Observability turns logs, metrics, and traces into actionable insight so teams can diagnose failures and keep distributed infrastructure reliable under real load.

Apr 28, 20256 min readMuhammad Ahmad Saeed

Cloud & Platform

The Role of Digital Twins in Building the Next Generation of Data Centers

As data centers grow more complex, digital twins offer a virtual replica of physical infrastructure—enabling real-time monitoring, predictive maintenance, and smarter design for next-generation facilities.

Mar 4, 20258 min readAleksandr Karavanin