Building MCP Servers That Survive Contact With Production
Most teams experimenting with the Model Context Protocol are still in the demo phase: a local MCP server, a handful of tools, an AI agent that...
Read post ->Guidance on Agentic AI, Microsoft AI, cloud modernization, cybersecurity, platform engineering, data, DevOps and technical growth.
Talk about your roadmapArticles help visitors understand risks, options and next steps before starting AI, cloud, security, platform or digital delivery work.
Most teams experimenting with the Model Context Protocol are still in the demo phase: a local MCP server, a handful of tools, an AI agent that...
Read post ->A cloud landing zone is the part of a migration plan that gets skipped most often. Most cloud migrations do not fail because a workload could...
Read post ->A practical cloud migration strategy needs more than lift and shift. See how landing zones, Terraform, and cost discipline turn a move into real modernization.
Read post ->A staged cloud modernization strategy: discovery, Terraform landing zones, multi-cloud governance, cost optimization, and built-in compliance. Book a consult.
Read post ->Practical cloud cost optimization strategies for AWS, Azure, and GCP: cost visibility, right sizing, Kubernetes cost control, storage tiering, and FinOps governance from CloudevTech.
Read post ->Why AI agents need scoped, OAuth-authenticated access through an MCP gateway, not raw MCP server connections. Practical guidance on least-privilege tool access, Kubernetes deployment, and agent...
Read post ->Most AI agent pilots stall before launch because the model was wired straight into production systems with broad credentials. Here is how the Model Context Protocol...
Read post ->Production considerations for connecting AI agents to business tools with access control, audit logging and platform governance.
Read post ->How Defender for Cloud, Azure Policy and repeatable remediation workflows support practical SOC 2 readiness.
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