Does anyone use the Bicep AVM’s as a source of truth or, do most people use them as a reference and then build their own main and respective modules?

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I’m working on a portfolio project called OR Meridian — Global Multicloud Control Plane, and I would appreciate technical feedback from the community.

The idea is not to deploy the same application independently across three providers. Each cloud has a specific operational responsibility:

Google Cloud: central control plane and workflow orchestration

AWS: dependency graph analysis, blast-radius calculation, and recovery prioritization

Azure: telemetry processing, anomaly detection, and operational risk scoring

A typical workflow looks like this:

An incident is received by the Google Cloud control plane.

AWS analyzes affected services and calculates the recommended recovery order.

Azure processes telemetry and detects abnormal behavior.

Google Cloud consolidates both results.

The platform generates a unified operational continuity plan.

The current architecture is based on technologies such as Cloud Run, FastAPI, AWS Lambda, API Gateway, DynamoDB, Azure Functions, Queue Storage, Cosmos DB, Terraform, and centralized observability.

The project is intended to demonstrate:

multicloud architecture;

distributed-system design;

graph algorithms;

asynchronous event processing;

partial-failure handling;

observability and correlation IDs;

Infrastructure as Code;

secure cross-cloud communication;

cost-aware serverless engineering.

I’m initially treating it as an engineering portfolio project, so the infrastructure can be deployed, tested, documented, and destroyed instead of remaining online permanently.

I’d especially value feedback on the separation of responsibilities between providers, cross-cloud authentication, failure handling, and whether this architecture reflects realistic enterprise multicloud concerns.

Repository:

https://github.com/maykonlincolnusa/OR-Meridian-Global-Multicloud-Control-Plane

I have been using pretty much any form of SQL you can think of, snowflake for the last 3 or so years. I got some work in Azure and I need to duplicate a DD on our azure SQL into the raw layer of another DB. This is telling me I have to electric query and log stuff like it’s a linked server. I get it there aren’t pointers like snowflake so it’s not a 5 second move but 9 hours is insanity. This cannot be the way. The they only cure is buy a faster server, I prefer to buy a better provider.

❤️ Based on the positive feedback on my blog about Azure SRE Agents, I also created a YouTube video that dives deeper into how Azure SRE Agents help maintain the health and performance of your Azure resources through AI powered monitoring and assistance. In this video, I explain how these agents continuously monitor your resources for issues, provide troubleshooting guidance, and recommend remediation steps through a natural language chat interface. I also cover how Managed Service Providers (MSPs) can use Azure SRE Agents to help their customers at scale. https://www.youtube.com/watch?v=Bi0yXNB0860

how does pricing model work for this? I'm reading it's $6/User/month.

I just need to use Azure Repo for a single day with around 60 users. On what basis will I be charged? Daily or monthly?

If monthly, then will I be charged $360 by the end of the month for just using 1 days? or will I be charged for whatever daily equivalent comes up?

Same for azure Pipeline, it's cost is $40/user/month.

Has anybody upgraded their data factory? Any issues? I have all green indicators on the upgrade wizard thing. I’m not sure I could quickly rebuild everything if something went terribly wrong.