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CGPulse is a multi-cloud governance platform for DevOps, security, and compliance teams managing Azure and AWS environments. It was built for the gap between enterprise CSPM platforms priced in five figures per year and free open-source scanners that leave you without workflow, ownership, or remediation tooling.
The platform continuously scans cloud resources against 621 policy rules - 305 Azure, 175 AWS, 16 cross-cloud, and 95+ organizational controls - mapped to 19 compliance frameworks: SOC 2, ISO 27001, HIPAA, GDPR, PCI DSS, NIST 800-53, CIS v8, CIS AWS v3, FedRAMP, NIST CSF, and ten more. Findings are surfaced with evidence trails, severity, and actionable remediation copy.
Key capabilities:
Pricing starts free for a single Azure plus single AWS account; paid Team is โฌ99/month and Business is โฌ299/month with self-serve Stripe checkout. Onboarding takes about 60 seconds - connect cloud accounts via OIDC and first scan runs immediately.
iPython CGPulseNo features have been listed yet.
CGPulse's answer:
Three things. First, an MCP server. Claude or any MCP client can run compliance scans, read findings, and trigger auto-remediation through natural language. No other CSPM ships this. Second, public self-serve pricing (โฌ99/โฌ299/month, Stripe checkout, no demo required) in a category where the norm is six-figure enterprise contracts. Third, every finding ships with Terraform and Bicep templates so teams apply fixes through their own change management, not a vendor UI.
CGPulse's answer:
Price and speed to value. Wiz, Prisma Cloud, Orca typically start at $50k/year with six-week rollouts and sales gatekeepers. CGPulse is โฌ99 to โฌ299 per month with public pricing and a 60-second self-serve onboarding. You get 621 policy rules across 19 compliance frameworks (SOC 2, ISO 27001, HIPAA, PCI DSS, CIS v8), the same category coverage, without enterprise overhead. For teams preparing their first audit, that's the difference between starting this quarter or next year.
CGPulse's answer:
Small and mid-size DevOps and platform teams, typically 10 to 200 people, running production workloads on Azure and AWS. Often they're preparing for their first SOC 2 or ISO 27001 audit, or their first customer security review. Many have tried open-source scanners (Prowler, ScoutSuite) and found the detection useful but the workflow missing. Others have been quoted by enterprise CSPM and found it outside their budget. CGPulse is built for the gap between those two.
CGPulse's answer:
.NET 10 with Blazor Server for the portal. Azure Cosmos DB for tenant and scan data, Azure App Service plus Azure Functions for the backend, Azure Service Bus for scan orchestration. Cloud scanning uses the Azure ARM SDK and AWS SDK directly. No agents, no proxies. Stripe for subscription billing. MCP server built on the ModelContextProtocol.AspNetCore library. Hosted entirely in Azure North Europe with per-tenant Cosmos partition keys.
CGPulse's answer:
It started a year ago with a simple wish: one clear view of what was actually running across my Azure and AWS accounts. Not console-hopping, a real map. Once the map was working, the obvious next layer was security. Not "here's a VM" but "here's a VM and here's what's wrong with it".
What I kept wishing for was honest answers with honest fixes. Not a red light on a dashboard, but guidance you can act on. Real automation where it's safe, and clear "do this, then this" steps where it isn't.
So a small scanner became a rule engine. Rules became compliance frameworks. Findings grew actual Terraform, Bicep, and CLI you can run. Then AWS support landed on top.
CGPulse today is a multi-cloud governance platform built around three promises: Connect, Govern, Protect. Connect your Azure and AWS accounts and see every resource in one view. Govern with 621 policy rules across 19 compliance frameworks. Protect with auto-remediation where it's safe and IaC export where the change needs human review.
Based on our record, iPython seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
As alluded to in Poetry2Nix Development Flake with Matplotlib GTK Support, Iโm currently in the process of getting my โnewโ python workflow up to speed. My second problem, after dependency and environment management, was that fancy REPLs like ipython or ptpython donโt jazz well with the standard comint based inferior python repl that comes with python-mode. One can basically only run ipython with the... - Source: dev.to / about 2 years ago
Third, if possible use a command line interpreter to test things out. I recommend ipython for this purpose. You can use your browser's developer console this way if you are learning Javascript. Source: over 3 years ago
IJulia is an interactive notebook environment powered by the Julia programming language. Its backend is integrated with that of the Jupyter environment. The interface is web-based, similar to the iPython notebook. It is open-source and cross-platform. - Source: dev.to / over 3 years ago
Also, take a look at installing iPthon to give you a much richer shell environment. This underpins Jupyter Notebooks, so is well known, proven and trusted. Source: over 3 years ago
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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