Featured Posts

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15 Oct 2025
Cloud Strategy

The Autonomous Cloud: From Dashboards to Decisions

Why the next wave of cloud ops moves from monitoring to machine-led action. We break down the autonomy stack—data ingestion, correlation, policy, and closed-loop remediation—and show where humans stay in the loop.

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💰
02 Oct 2025
FinOps

Traffic-Aware FinOps: Fair Cost Allocation for Shared Services

How to allocate costs for firewalls, VPN gateways, NAT, and transit networks using flow logs and usage patterns. Includes a step-by-step framework for showback/chargeback and common pitfalls.

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🔗
18 Sep 2025
Automation

The "Connect the Dots" Blueprint for Cloud Teams

A practical playbook for correlating logs + flows + configs + costs into one narrative. Covers data models, identity/ownership mapping, and how this unlocks MTTR cuts and accurate cost recovery.

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🔍
04 Sep 2025
Network Visibility

Visual Network Troubleshooting: Seeing Latency Before Users Do

How topology graphs, path tracing, and heatmaps reveal bottlenecks and misconfigurations in minutes. Real examples of route drift, noisy neighbors, and stealth packet drops.

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🔒
21 Aug 2025
SecOps

AI Security Advisor: Ports to Open, Close, or Monitor—Backed by Traffic

Static audits miss context. Learn how flow-aware recommendations reduce exposure, map to CIS/NIST, and feed policy-as-code pipelines without breaking apps.

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📊
06 Aug 2025
Automation

Autonomous Project Management for Cloud: WBS from Design

Turn architecture inputs into auto-generated WBS, assign owners by asset lineage, and update status for different stakeholders—PMs, Architects, SecOps—without manual spreadsheets.

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📈
24 Jul 2025
FinOps

Cloud Cost Forecasting with Signals (Not Spreadsheets)

Replace linear budgeting with signal-driven forecasting that uses deployments, traffic trends, and seasonality. Includes a template for risk bands and variance handling.

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10 Jul 2025
Cloud Strategy

Governing Multi-Cloud Without Slowing Teams Down

A lightweight, policy-driven governance model that keeps autonomy at the edge while centralizing visibility and control in one AI platform.

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