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Cloud strategy, architecture, migration, security, resilience and FinOps for modern platforms.
37 articles
An untested DR plan is a hypothesis. This playbook shows how to replace annual DR exercises with continuous, automated recovery testing that produces real evidence.
SQL Server 2016 support ended in July 2026, and Windows Server 2016 follows in January 2027. This guide compares your options and shows how to turn the deadline into a plan.
AI agents can now discover modules, generate Terraform and analyze plans. Here is what is changing in agentic infrastructure as code and the guardrails that keep it safe.
The three big Well-Architected frameworks changed substantially in 2025 and 2026. Here is what is new for AI, sustainability and resilience, and how architects should use it.
AI workloads have become a new cloud attack surface. Here is how AI security posture management works, what it covers, and how to put it into practice.
AI agents act with delegated authority across your systems, so they need the same disciplined adoption path as cloud itself. This playbook shows how to extend each CAF phase for agents.
Three years after the Terraform license change and with IBM now owning HashiCorp, the OpenTofu vs Terraform question is a real platform decision. Here is how to make it.
Confidential CPUs and GPUs now let AI workloads run inside hardware-protected enclaves. Here is how the technology works, what each cloud offers and how to decide where it pays off.
Neoclouds are now a serious alternative to hyperscaler GPUs. This decision guide compares four ways to source AI compute and shows how to build a resilient capacity portfolio.
VMware price shocks, Windows Server 2016 end of support and AI ambitions are forcing migration decisions. Here is how to assign the right R to every workload and turn those choices into waves.
All three major clouds now offer a new generation of Arm processors. This guide explains what changed in 2026, which workloads benefit and how to decide and migrate safely.
Agentic AI is automating the slowest parts of cloud migration, from discovery and dependency mapping to network translation. Here is what the tools do, where humans still matter and how to adopt them.
Machine identities typically outnumber people in the cloud, and AI agents are adding more every day. This guide explains the risks and a step-by-step program to bring non-human identities under control.
Cloud security is consolidating into code-to-runtime platforms. This guide explains what changed in 2025–2026, how to evaluate CNAPPs and how to roll one out without overwhelming your teams.
Your most critical data no longer lives only in VMs and databases. Here is how to extend backup and recovery to SaaS platforms, identity systems and AI assets.
Sovereignty has moved from a public-sector niche to a mainstream cloud requirement. Here is how to build it into every phase of your cloud adoption framework instead of bolting it on later.
Repatriation headlines suggest a cloud exodus. The data points to something subtler: selective workload placement. Here is a framework for deciding where each workload belongs.
Most enterprises are not leaving VMware overnight, but many are steadily reducing their footprint. This guide explains the options, the decision criteria and a phased plan that keeps risk under control.
Commitment discounts remain the largest single cost lever in most cloud estates, and the options changed again in 2025. This playbook shows how to buy, layer and govern them.
AI spend behaves nothing like a traditional cloud bill. Here is how to allocate token and GPU costs, define AI unit economics and put guardrails in place without slowing teams down.
Kubernetes hides waste behind shared nodes. This decision guide and checklist covers cost visibility, rightsizing with in-place resize, node autoscaling, spot capacity and governance.
Cost is a close proxy for carbon, but not a perfect one. Here is how to bring carbon data into your FinOps practice and optimize both without double work.
Cloud attackers now move from disclosure to exploitation in days and from foothold to admin in hours. This playbook shows how to build cloud detection and response that keeps up.
The FOCUS specification is becoming the common language of technology cost data. This playbook explains what FOCUS 1.2 and 1.3 add and how to migrate your FinOps reporting to it.
Detection alone cannot keep up with self-service cloud. This decision guide explains which preventive guardrails to use where, and how to mature them from ad hoc rules to policy as code.
Most cloud savings fade within a quarter because nothing changes in how teams operate. This playbook covers the roles, cadences, metrics and guardrails of a FinOps practice that lasts.
With DORA in force and the first critical ICT third-party providers designated, cloud disaster recovery has become a board-level obligation. Here is a practical playbook for meeting it.
The October 2025 us-east-1 disruption showed how hidden dependencies turn one regional failure into a global incident. Here is a practical architecture playbook for limiting blast radius and recovering predictably.
Cloud emissions data has matured. Here is how to weave carbon measurement, governance and green design into every phase of your cloud adoption framework.
Many cloud centers of excellence have become gatekeepers or faded away. This playbook shows how to reboot yours into a product-minded, self-service cloud operating model.
Use this five-level, eight-dimension maturity model to assess your cloud adoption honestly and plan the capabilities that will matter most between 2027 and 2030.
Most migrations succeed or fail in the wave plan. This playbook walks through dependency mapping, wave sizing, sequencing, cutover, rollback and hypercare, step by step.
Platform engineering has become the default way to scale cloud architecture across many teams. This guide breaks down the reference planes, golden paths and maturity steps of a modern internal developer platform.
Not every workload needs active-active, and not every workload can survive on backups alone. This decision guide helps you match DR strategy to criticality, risk and budget.
Attackers now target backups first. Learn how immutable vaults, logically air-gapped storage, multi-party approval and clean-room recovery testing make cloud backups survive a ransomware attack.
Cloud architectures change constantly. This playbook shows how decision records and automated fitness functions keep them coherent, auditable and ready for AI-assisted delivery.
GPUs are the most expensive resources in the cloud, yet many Kubernetes clusters leave them mostly idle. Learn how DRA, GPU sharing and queue-based scheduling turn Kubernetes into efficient AI infrastructure.
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