How cloud developers can build highly scalable applications with zero initial cost of running the infrastructure and scale them to millions of user requests.
Multi-cloud brings resilience but also complexity, drift, security, and cost challenges. IaC, automation, and unified monitoring turn it into an advantage.
Treat your security rules and compliance like tests that run every time you perform Terraform Plan. Learn how Policy-as-Code (PaC) allows you to do that.
This article demonstrates how we can run vLLM on Kubernetes for a centralized LLM serving engine that is production-ready and can be used by multiple applications.
Learn in this guide how we migrated to a GitOps workflow with Helm, OpenShift, and ArgoCD — lessons, pitfalls, and wins from real-world Kubernetes deployments.
PySpark jobs often fail because of bad data, network issues, or logic errors. Sometimes, after hours of processing. Learn how to make your Spark pipelines more reliable.
Continuous integration and continuous delivery serve different purposes in the development pipeline — optimizing each independently leads to better outcomes.
In this article, I share the key stages of building a secure startup — from IDPs and network planning to SIEM, SOAR, and post-live security best practices.
Converting large-scale enterprise data between systems is less about perfection than about making the right tradeoffs and engineering for scale and flexibility.
Kubernetes growth brings cluster and tool sprawl, driving complexity, cost, and security risks. Learn about emerging solutions like platform engineering and AI.
Learn resilience strategies for Google Cloud data pipelines. Balance latency, reliability, and recovery with Pub/Sub, Dataflow, BigQuery, and SRE practices.