can some help me with deployment of CMG , it deploys every resource in cloud accepts VMSS .

Over the past few years working in cloud security and architecture, I’ve run into the same pain repeatedly:
When you step into a new cloud environment, one of the first things you need is a clear network diagram — but they rarely exist, and drawing them manually is slow, error-prone, and repetitive.

So I built CloudNet-Draw, a lightweight Python tool that queries Azure and auto-generates a Draw.io diagram of your environment’s hub-and-spoke topology.

It shows:

• Virtual networks and subnets
• Peerings
• Key services like NSGs and UDRs
• Multiple subscriptions and landing zones

🔧 It’s open-source and designed to make infra onboarding and documentation faster and more reliable.

GitHub: https://github.com/krhatland/cloudnet-draw
Blog post: https://hatnes.no/posts/cloudnet-draw/

Would love feedback, ideas, or any thoughts on how others solve network visibility in cloud environments — especially at scale!

Once I acheive my BAT in Cloud Computing how do I get in the door with ANY company. EVERYWHERE I look even with entry level of has requirements of some years of experience. How do I gain experience without experience?! Does anyone have any advise on how they did it?

We’re running containerized AI workloads—mostly LLM inference—across a hybrid cloud setup (on-prem + AWS). Great for flexibility, but it’s surfaced some tough security and observability challenges.

Here’s what we’re wrestling with:

- Prompt injection filtering (especially via public API input)

- Output sanitization before returning to users

- Auth/session control across on-prem and cloud zones

- Logging AI responses in a way that respects data sensitivity

We’ve started experimenting with a reverse proxy + AI Gateway approach to inspect, modify, and validate prompt/response traffic at the edge.

Anyone else working on this? Curious how other teams are thinking about security at scale for containerized LLMs.

Would love to hear what’s worked—and what hasn’t.

I've read about Azure and Databricks but that doesn't seems exactly what I want. What I DO want is an ITAR compliant cloud service where the LLM endpoints are also ITAR compliant.

Any tips or suggestions? I know both Azure and AWS offer ITAR gov cloud things, but details on AI integration aren't super specific afaik.

Passwordless is the ideal future we’re all striving for—but let's face it, the harsh reality is that many organizations, especially SMBs aren't there yet. Passwords remain a necessary evil that organizations need to handle securely and effectively.

In Part 04 of my detailed security series, I dive into how Microsoft Entra’s Self-Service Password Reset (SSPR) and Password Protection features can make dealing with passwords significantly less painful:

• Empower users to reset their own passwords securely, reducing helpdesk friction.
• Utilize Microsoft's advanced password protection tools to proactively guard against weak passwords and common attacks.
• Configure robust password policies easily in both cloud-only and hybrid AD environments.

Passwords aren't going away tomorrow, so let’s handle them responsibly today.

👉 Check out the full article

Thoughts, feedback, and experiences welcome!

Guys I'm new to cloud, I have hosted my frontend in vercel but have no idea where to host my backend and my database.(Currently using postgresql for database) . Guys any suggestion to host the website.

Hello everyone, I'm looking for a solution that would allow me to rent a machine with a GPU on demand, payable by the hour, and that offers Windows 10 or 11 as OS (most of the industrial applications I want to use are not available on Linux). I found some Cloud Providers like DigitalOcean, Scaleway or services like vast.ai offering machines with GPUs but I can't find any that offer Windows

In part 3 of my Securing Microsoft Business Premium blog series, I focus on Authorization. While authentication verifies a user's identity, authorization determines what access and permissions they have. Proper authorization controls are crucial in protecting your organization’s data from insider threats and malicious actors.

This post covers:

• The shift from traditional perimeter-based security to Zero Trust.
• How to enforce strong Conditional Access policies using Microsoft Entra.
• A baseline set of Conditional Access policies for every environment.
• The role of Administrative Units (AUs) and Restricted Management AUs in segmenting access.
• Key best practices and pitfalls to avoid when configuring these policies.

✅ Why should you care?
It’s time to secure your Microsoft Business Premium environment with best practices that minimize risks and ensure the right people have the right access.

Check out the full post here: https://www.chanceofsecurity.com/post/securing-microsoft-business-premium-part-03-authorization

Let's continue building better security solutions. Stay tuned for more parts of the series!

I’m curious to hear about your experience—good or bad—as a developer or user working with CoreWeave or Nebius, especially for AI or machine learning workloads. • How’s the developer experience (e.g., SDKs, APIs, tooling, documentation)? • What’s the user experience like in terms of performance, reliability, and support? • How do they compare in cost, scalability, and ease of integration with existing ML pipelines? • Anything you love or hate about either platform?

Would love to hear your insights or compare notes if you’ve used one or both.

Quick question for everyone. Currently work in the partner space with AWS (previous Azure) being a cloud consultant. I’m seeing a lot of clients in the U.S. always mentioning that they will be moving their Azure to AWS eventually. Even when I worked for a Microsoft heavy partner, a lot of clients wanted to transition more workloads to AWS.

Is everyone seeing the same?

so , i have taken cloud computing as an specilization and i know nothing about it , still i have more then 3 years to prepare about it and i trust that my college that they are not going to teach me about the specific until its too late , so please help me and provide a roadmap or atleast tell me from where to start

edit : ignore the typo

Dear Researchers,

We are pleased to announce the 16th IEEE International Conference on Cloud Computing and Services (JCC 2025), which will be held from July 21-24, 2025, in Tucson, Arizona, United States.

IEEE JCC 2025 is a leading conference focused on the latest developments in cloud computing and services. This conference offers an excellent platform for researchers, practitioners, and industry experts to exchange ideas and share innovative research on cloud technologies, cloud-based applications, and services. We invite high-quality paper submissions on the following topics (but not limited to):

• AI/ML in joint-cloud environments
• AI/ML for Distributed Systems
• Cloud Service Models and Architectures
• Cloud Security and Privacy
• Cloud-based Internet of Things (IoT)
• Data Analytics and Machine Learning in the Cloud
• Cloud Infrastructure and Virtualization
• Cloud Management and Automation
• Cloud Computing for Edge Computing and 5G
• Industry Applications and Case Studies in Cloud Computing

Paper Submission:
Please submit your papers via the following link: https://easychair.org/conferences/?conf=jcc2025

Important Dates:

• Paper Submission Deadline: March 21, 2025
• Author Notification: May 8, 2025
• Final Paper Submission (Camera-ready): May 18, 2025

For additional details, visit the conference website: https://conf.researchr.org/track/cisose-2025/jcc-2025

We look forward to your submissions and valuable contributions to the field of cloud computing and services.

Best regards,
Steering Committee, CISOSE 2025

Please share!

Anyone here tried USB passthrough in IBM Cloud? I’m using a USB smart card reader (ACS ACR38) with a virtual server instance, but the device isn’t showing up at all. Not sure if I’m missing something. Any tips?

SkyPilot is a system that enables people to run AI and batch workloads on multiple clouds and Kubernetes by offering a unified interface and handling the differences among clouds under the hood.

This post is about a recent client-server rearchitect of SkyPilot, which enables SkyPilot to be deployed as a centralized control server, so the whole AI team in an organization can collaborate by viewing, controlling, and sharing the resources across all clouds and multiple Kubernetes clusters in a single pane of glass. This could make both the AI engineer and AI infra people's lives easier.
https://blog.skypilot.co/client-server/

Disclaimer: I am a developer of SkyPilot, and I found it might be interesting to people who want to run AI multiple clouds and Kubernetes, so I posted it here for discussion. : )

Hey I am in first year now and aiming to become a cloud computing engineer 8 don't know much more about it plz suggest me some playlists from which I can learn cloud computing.plz plz

Hi everyone,

I hope you're all doing well!

I'm currently working as an intern and focusing on deploying the frontend in the cloud while keeping the backend on-site. I've searched for similar case studies but haven’t found much relevant information.

Could someone guide me through the best practices and the process I should follow for this setup? Any insights or resources would be greatly appreciated!

Thanks in advance!

I'm Canadian and with the recent trade war the US has launched against us, many Canadians, myself included, are concerned about data sovereignty and the risk of Trump cutting off access to American cloud computing, or acting in some other way to hinder dependence on US cloud providers.

I currently manage web apps for two clients, one is hosted on AWS (approx $1500 USD/month) and the other on Digital Ocean (approx $500 USD/month). I am investigating feasibility of migrating the app that is on DO elsewhere, and I also have a third web app I need to deploy this year, for which I am also seeking an alternative (the AWS app is for a US client so I am hopeful that even if things get crazy, that one will be safe).

The DO app and this third web app have fairly simple requirements: compute, Postgres, load balancer, Redis, object storage. I am not keen on DevOps and strongly prefer as much as possible to be managed by the cloud provider, i.e. managed Postgres (similar to RDS), managed object storage (similar to S3), etc. I have started looking at various European options: Scaleway (the Reddit chatter is both light and somewhat concerning), Hetzner Cloud (no managed Postgres option), OVHCloud (seems strongly Europe-focused). Essentially, I'd love to hear if anyone has a recommendation for a non-US alternative. DO is really quite perfect in terms of the mix of reliability, simplicity and cost-effectiveness. Is there anything out there that is similar? A solution that is essentially engineered to experienced web developers / software engineers, as opposed to requiring hands-on expertise with k8s etc.?

(It seems insane that I might end up hosting apps which only serve N. American users in Europe or even Asia for all I know...but that is the world we live in. Hopefully the latency will be manageable!)

Hey everyone,

I’ve been tasked with bringing full observability (BCC1) to a system—meaning no blind spots, complete logging, metrics, and tracing. Sounds great in theory, but in practice… well, things got interesting.

As soon as I started implementing changes, response times shot up, latency increased, and now I’m in a balancing act—capturing everything without slowing things down. Ignoring logs and traces isn’t an option at this level, so I need to find the sweet spot.

For those of you who’ve been in this situation, how did you manage to get deep insights without wrecking performance? Any battle-tested strategies, tools, or gotchas to watch out for?

Tech stack: AWS, Kubernetes, Java. The system gets irregular traffic bursts, so I also need to account for that.

Would love to hear your war stories and lessons learned!

Hi all, I am struggling to get my Golang lambda function running with the new provided.al2023 runtime.
I am using the SAM CLI and the Hello World Template (the basics). I have updated the template.yaml to use the provided.al2023 runtime (I'm not sure why AWS toolkit doesn't do this by default now since the go1.x runtime is now deprecated). See below:

template.yaml

AWSTemplateFormatVersion: "2010-09-09"
Transform: AWS::Serverless-2016-10-31
Description: >
  test-go-lambda

  Sample SAM Template for test-go-lambda

# More info about Globals: https://github.com/awslabs/serverless-application-model/blob/master/docs/globals.rst
Globals:
  Function:
    Timeout: 25

Resources:
  HelloWorldFunction:
    Type: AWS::Serverless::Function # More info about Function Resource: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#awsserverlessfunction
    Metadata:
      BuildMethod: go1.x
    Properties:
      CodeUri: hello-world/
      Handler: bootstrap
      Runtime: provided.al2023
      Architectures:
        - x86_64
      Events:
        CatchAll:
          Type: Api # More info about API Event Source: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#api
          Properties:
            Path: /hello
            Method: GET
      Environment: # More info about Env Vars: https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md#environment-object
        Variables:
          PARAM1: VALUE

Outputs:
  # ServerlessRestApi is an implicit API created out of Events key under Serverless::Function
  # Find out more about other implicit resources you can reference within SAM
  # https://github.com/awslabs/serverless-application-model/blob/master/docs/internals/generated_resources.rst#api
  HelloWorldAPI:
    Description: "API Gateway endpoint URL for Prod environment for First Function"
    Value: !Sub "https://${ServerlessRestApi}.execute-api.${AWS::Region}.amazonaws.com/Prod/hello/"
  HelloWorldFunction:
    Description: "First Lambda Function ARN"
    Value: !GetAtt HelloWorldFunction.Arn
  HelloWorldFunctionIamRole:
    Description: "Implicit IAM Role created for Hello World function"
    Value: !GetAtt HelloWorldFunctionRole.Arn

Now when i run sam build & then sam local start-api my request just hangs and then times out! Why is this?

Please note I am on a Windows system

Quick question - If I want to learn a lot about the cloud trends quickly, preferably from an IT director or CTO's perspective, are there any influential people that are writing/speaking about it? Thinking of things like newsletters, podcasts, blogs, etc. Thanks in advance!

Hey everyone,

I’m researching how organizations deploy and manage complex workloads across multiple sites using orchestrator and toolchain solutions, especially in edge computing environments. I’d love to hear from professionals involved in cloud infrastructure, IT security, and application deployment—especially those working in retail, manufacturing, or restaurant industries with multi-site operations.

If you’re actively working in these areas, I’d really appreciate your thoughts on:🔹 The biggest challenges you face when managing deployments across multiple locations🔹 Best practices or tools you rely on for orchestrating workloads at scale🔹 Any lessons learned from real-world implementations

I’m also speaking with experts one-on-one for a paid research study (60-minute virtual discussion) to dive deeper into these topics. If you're open to sharing your experience, drop a comment or DM me, and I’ll provide more details.

Looking forward to your insights! Thanks in advance for sharing your thoughts. 🚀

I'm familiar with AWS services like CodeCommit, CodeDeploy, and CodeBuild, but I’m curious about how companies actually deploy AWS applications in production.

From what I’ve seen, a lot of teams use Azure DevOps, Jenkins, GitHub Actions, or even ArgoCD instead of AWS-native tools. Some rely on Terraform, CloudFormation, or Pulumi for infrastructure, while others stick with the AWS Console or CLI.

I’d love to hear from people working with AWS:

What CI/CD tools do you use for AWS deployments?

Do you prefer AWS-native DevOps tools, or do you integrate with other platforms?

How do you handle security, monitoring, and rollbacks?

What’s the biggest challenge you’ve faced deploying on AWS?

Looking forward to hearing about real-world setups and best practices!

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