Cloud & DevOps
Kubernetes, containers, reliability, networking and operations.
Reliability at a Crossroads: How AI Transforms and Tests the SRE Profession
New AI tools are giving SREs better ways to manage outages and problems, while at the same time AI-generated code increases the problems SREs must face. This article explores the dual impact of AI on the site reliability engineering profession.
Bridging the Divide: How Native WSL Containers Reshape Windows Development
A technical overview of the new WSL-native container support, exploring its impact on AI and cloud infrastructure development on Windows alongside agentic systems.
Rethinking Local Reach: Managing the Migration of Local Services Ads to Performance Max
An analysis of Google's migration of Local Services Ads into Performance Max, detailing critical workflow changes for bidding, budgeting, and reporting that advertisers must address before the 2026-2027 rollout.
Google's $5.8B FCF Deficit vs. Microsoft – AI, Cloud, Productivity, Computing, Gaming & Apps
This report examines Alphabet's Q2 2026 financial results, focusing on the company's surging AI infrastructure expenditures, negative free cash flow of $5.85 billion, and how it compares to Microsoft's AI and cloud business model.
Google Cloud Revenue Surges 82% as AI Adoption Fuels Growth
Google's cloud business is thriving as enterprises adopt AI and AI infrastructure services, driving significant revenue growth.
Flattened Brain Dynamics: How Reduced Network Flexibility Reveals Mental Health Patterns
New research reveals that psychiatric patients exhibit reduced dynamic brain flexibility ('flattened' network dynamics), which tracks individual symptom fingerprints more accurately than traditional diagnostic labels.
Neuronal TLR4 Ignites MMP-9 Cascade That Destabilizes Brain Network After Trauma
Research reveals how concussion triggers an immune receptor in neurons that activates a destructive enzyme, eroding structural brain scaffolding and causing long-term cognitive decline.
Taming the GenAI Token Budget: Lessons from Cloud FinOps
Explore how enterprises are mitigating unpredictable generative AI costs by applying established cloud FinOps disciplines—including cost visibility, team-based show-back, and model optimization—to AI token usage and agent deployments.
The 20-Year Cloud Arc: How AWS Defined Modern IT, and Why Pragmatism Has Replaced Hype
A retrospective analysis of AWS's twenty-year impact on enterprise computing, tracing the evolution from the 2006 launch of S3 and elastic infrastructure to the modern challenges of cloud cost optimization, regional repatriation, and the specialized AI infrastructure boom.
The £1.22 Billion Price of Asda Breaking Free from Walmart's IT Grip
Asda's Project Future — its multi-year effort to rip out Walmart-era SAP systems and build a standalone ERP on Azure — ended up costing £1.22 billion, six months behind schedule and with sales still feeling the aftershocks a year later.
Mastering AI Token Economics: Lessons from Traditional Cloud FinOps
Enterprises are facing runaway generative AI costs due to unexpected token usage. This article outlines how applying established Cloud FinOps frameworks to AI can restore financial control and transparency.
Why Traditional Monitoring Tools Fail for AI Systems
Exploring the challenges organizations face when using traditional software monitoring tools for AI systems and the need for specialized AI observability tools.