November 2025
Professionals
Disaster Recovery (DR) Architecture on AWS, Part III: Pilot Light and Warm Standby
In this piece, AWS architects outline recovery patterns that balance cost and resilience, showing how lightweight standby architectures reduce downtime while maintaining operational readiness.
Intelligent application protection from edge to cloud with Azure Web Application Firewall
Microsoft highlights improved cloud‑edge protection using new WAF rulesets, emphasizing proactive defense as applications become more globally distributed.
Introducing Google Cloud Backup and DR
Google’s platform‑level backup service centralizes data protection across hybrid infrastructures, signaling a push toward simplified enterprise resilience strategies.
Azure Storage Mover – A managed migration service for Azure Storage
Azure introduces a streamlined data‑migration pipeline that moves large storage workloads directly to the cloud, improving throughput and reducing operational overhead.
Goals and Vision of DevOps Strategy
This article outlines how DevOps unifies speed, automation, and culture, framing it as a structural shift rather than a tooling exercise.
Disaster Recovery Solutions with AWS‑Managed Services, Part 3: Multi‑Site Active/Passive
AWS engineers detail how multi‑site topologies enhance availability and auditability for regulated workloads while managing cost and architectural complexity.
Building a serverless document chat with AWS Lambda and Amazon Bedrock
A serverless blueprint shows how LLM‑based document assistants can be deployed at scale, leveraging vector search, event routing, and fully managed inference services.
Let’s Architect! Learn About Machine Learning on AWS
AWS showcases enterprise ML patterns across data pipelines, continuous training, and generative AI, emphasizing operational readiness and MLOps governance.
The Future of Pumps, IoT, and Industry 4.0
IoT‑connected pumping systems illustrate how industrial equipment is shifting toward predictive analytics and sustainability‑driven operations.
2024’s AI Breakthroughs: From Emotionally Intelligent Machines to Quantum Computing Revolution
A year‑in‑review of emerging AI capabilities highlights advances in emotional modeling, quantum‑accelerated workloads, and next‑generation enterprise applications.
Tech Leaders
What is data mining? Finding patterns and trends in data
A foundational overview of data‑mining techniques explains how enterprises extract actionable insights from large datasets using statistical modeling and machine learning.
Dynatrace: What is API monitoring?
This analysis describes how API‑driven architectures increase operational complexity and why real‑time observability has become essential for customer‑facing systems.
Digital transformation examples
Case studies show how global enterprises leverage cloud, automation, and analytics to modernize processes and unlock new operational efficiencies.
How Does the Ransomware‑as‑a‑Service Model Work?
A breakdown of the RaaS ecosystem shows how commoditized cybercrime has evolved and the implications for enterprise risk management.
Types of central processing units (CPUs)
This guide to CPU architectures outlines modern compute design trends, from multi‑core scaling to specialized accelerators and emerging quantum approaches.
Forrester’s Top 10 Emerging Technologies For 2024
Forrester’s analyst review highlights technologies expected to redefine enterprise IT, including agentic AI, Zero Trust edge, and quantum‑secure architectures.
The State of DevOps in the Enterprise
A survey of DevOps maturity shows uneven progress across industries, with culture and governance emerging as bigger barriers than tooling.
Making the Transition to Artificial Intelligence
This article outlines the organizational shifts required for AI adoption, emphasizing data readiness, change management, and compliance frameworks.
What Is An AI‑First Mindset?
A commentary on workforce transformation argues that AI literacy, experimentation, and continuous learning are essential leadership competencies.
Why Artificial Integrity is a Leadership Challenge
Leaders are urged to embed integrity into AI systems as they scale, with transparency, fairness, and governance positioned as long‑term competitive differentiators.