PodcastsRank #2668
Artwork for The Cloud Pod
TechnologyPodcastsBusinessEN-USunited-statesSeveral times per week
4.9 / 5
The Cloud Pod is your one-stop-shop for all things Public, Hybrid, Multi-cloud, and private cloud. Cloud providers continue to accelerate with new features, capabilities, and changes to their APIs. Let Justin, Jonathan, Ryan and Peter help navigate you through this changing cloud landscape via our weekly podcast.
Top 5.3% by pitch volume (Rank #2668 of 50,000)Data updated Feb 10, 2026

Key Facts

Publishes
Several times per week
Episodes
267
Founded
N/A
Category
Technology
Number of listeners
Private
Hidden on public pages

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Public snapshot
Audience: Under 4K / month
Canonical: https://podpitch.com/podcasts/the-cloud-pod
Cadence: Active weekly
Reply rate: 20–35%

Latest Episodes

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340: Azure releases a new SQL AI Assistant… Jimmy Droptables

Sat Feb 07 2026

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Welcome to episode 340 of The Cloud Pod, where the forecast is always cloudy! It’s a full house (eventually) with Justin, Jonathan, Ryan, and Matt all on board for today’s episode. We’ve got a lot of announcements, from Gemini for Gov (no more CamoGPT!) to Route 52 and Claude. Let’s get started!  Titles we almost went with this week Claude’s Pricing Tiers: Free, Pro, and Maximum Overdrive GitHub Copilot Learns Database Schema: Finally an AI That Understands Your Joins SSMS Gets a Copilot: Your T-SQL Now Writes Itself While You Grab Coffee Too Many Cooks in the Cloud Kitchen: How 32 GPUs Outcooked the Big Tech Industrial Kitchens Uncle Sam Gets a Gemini Twin: Google’s AI Goes Federal Route 53 Gets Domain of Its Own: .ai Joins the Party Thai One On: Google Cloud Plants Its Flag in Bangkok NAT So Fast: Azure’s Gateway Gets a V2 Glow-Up Beware Azure’s SQL Assistant doesn’t smoke your joints. AI Is Going Great, Or How ML Makes Money   30:10 Announcing BlackIce: A Containerized Red Teaming Toolkit for AI Security Testing | Databricks Blog Databricks released BlackIce, an open-source containerized toolkit that bundles 14 AI security testing tools into a single Docker image available on Docker Hub as databricksruntime/blackice:17.3-LTS.  The toolkit addresses common red teaming challenges, including conflicting dependencies, complex setup requirements, and the fragmented landscape of AI security tools, by providing a unified command-line interface similar to how Kali Linux works for traditional penetration testing. The toolkit includes tools covering three main categories: Responsible AI, Security testing, and classical adversarial ML, with capabilities mapped to MITRE ATLAS and the Databricks AI Security Framework.  Tools are organized as either static (simple CLI-based with minimal programming needed) or dynamic (Python-based with customization options), with static tools isolated in separate virtual environments and dynamic tools in a global environment with managed dependencies. BlackIce integrates directly with Databricks Model Serving endpoints through custom patches applied to several tools, allowing security teams to test for vulnerabilities like prompt injections, data leakage, hallucination detection, jailbreak attacks, and supply chain security issues.  Users can deploy it via Databricks Container Services by specifying the Docker image URL when creating compute clusters. The release includes a demo notebook showing how to orchestrate multiple security tools in a single environment, with all build artifacts, tool documentation, and examples available in the GitHub repository.  The CAMLIS Red Paper provides additional technical details on tool selection criteria and the Docker image architecture. 04:30 Ryan – “It’s very difficult to feel confident in your AI security practice or patterns. I feel like it’s just bleeding edge, and I’m learning so much all the time. And so I spend a lot of time reading papers and talking to others and seeing what they’re doing and meeting with vendors trying to figure out strategy, and it just feels like I’m drinking from a fire hose, and it’s really difficult to feel confident. So I like tools like t... Chapters (00:00:07) - The Cloud Pod: Episode 340(00:01:16) - Hello, How to Subscribe to our Podcast(00:03:20) - Black Ice: A Single Toolkit for AI Security(00:13:21) - OpenAI Launches Prism: a LaTeX workspace for scientific writing(00:16:03) - Amazon EC2: New Graviton 4 Instances, and More(00:21:54) - Amazon Workspaces: Advanced Printer Redirection(00:25:50) - AWS Network Firewall Adds URL Category Based Filtering(00:28:32) - The CEO's Executive Dinner(00:29:21) - Gemini CLI Learning Course Launch(00:32:43) - Google Cloud opens new Bangkok Region Asia Southeast 3(00:36:08) - Apache Airflow 3.1 on Cloud Composer(00:38:36) - Google's Gemini for Government Launches(00:43:32) - BigQuery: Integrating AI into SQL queries(00:45:46) - SQL Server Management Studio 2.22.1 New Features & Changes(00:53:08) - Azure NAT Gateway: Standard V2 GAUNCH(00:55:31) - Microsoft Announces Unified Socks & DORA Compliance Solutions in(01:03:01) - IOM Deny Policies(01:04:59) - Google's Gemini CLI for Outages & Compliance(01:07:58) - Google's MCP for Docs(01:10:49) - Super Bowl LII

More

Welcome to episode 340 of The Cloud Pod, where the forecast is always cloudy! It’s a full house (eventually) with Justin, Jonathan, Ryan, and Matt all on board for today’s episode. We’ve got a lot of announcements, from Gemini for Gov (no more CamoGPT!) to Route 52 and Claude. Let’s get started!  Titles we almost went with this week Claude’s Pricing Tiers: Free, Pro, and Maximum Overdrive GitHub Copilot Learns Database Schema: Finally an AI That Understands Your Joins SSMS Gets a Copilot: Your T-SQL Now Writes Itself While You Grab Coffee Too Many Cooks in the Cloud Kitchen: How 32 GPUs Outcooked the Big Tech Industrial Kitchens Uncle Sam Gets a Gemini Twin: Google’s AI Goes Federal Route 53 Gets Domain of Its Own: .ai Joins the Party Thai One On: Google Cloud Plants Its Flag in Bangkok NAT So Fast: Azure’s Gateway Gets a V2 Glow-Up Beware Azure’s SQL Assistant doesn’t smoke your joints. AI Is Going Great, Or How ML Makes Money   30:10 Announcing BlackIce: A Containerized Red Teaming Toolkit for AI Security Testing | Databricks Blog Databricks released BlackIce, an open-source containerized toolkit that bundles 14 AI security testing tools into a single Docker image available on Docker Hub as databricksruntime/blackice:17.3-LTS.  The toolkit addresses common red teaming challenges, including conflicting dependencies, complex setup requirements, and the fragmented landscape of AI security tools, by providing a unified command-line interface similar to how Kali Linux works for traditional penetration testing. The toolkit includes tools covering three main categories: Responsible AI, Security testing, and classical adversarial ML, with capabilities mapped to MITRE ATLAS and the Databricks AI Security Framework.  Tools are organized as either static (simple CLI-based with minimal programming needed) or dynamic (Python-based with customization options), with static tools isolated in separate virtual environments and dynamic tools in a global environment with managed dependencies. BlackIce integrates directly with Databricks Model Serving endpoints through custom patches applied to several tools, allowing security teams to test for vulnerabilities like prompt injections, data leakage, hallucination detection, jailbreak attacks, and supply chain security issues.  Users can deploy it via Databricks Container Services by specifying the Docker image URL when creating compute clusters. The release includes a demo notebook showing how to orchestrate multiple security tools in a single environment, with all build artifacts, tool documentation, and examples available in the GitHub repository.  The CAMLIS Red Paper provides additional technical details on tool selection criteria and the Docker image architecture. 04:30 Ryan – “It’s very difficult to feel confident in your AI security practice or patterns. I feel like it’s just bleeding edge, and I’m learning so much all the time. And so I spend a lot of time reading papers and talking to others and seeing what they’re doing and meeting with vendors trying to figure out strategy, and it just feels like I’m drinking from a fire hose, and it’s really difficult to feel confident. So I like tools like t... Chapters (00:00:07) - The Cloud Pod: Episode 340(00:01:16) - Hello, How to Subscribe to our Podcast(00:03:20) - Black Ice: A Single Toolkit for AI Security(00:13:21) - OpenAI Launches Prism: a LaTeX workspace for scientific writing(00:16:03) - Amazon EC2: New Graviton 4 Instances, and More(00:21:54) - Amazon Workspaces: Advanced Printer Redirection(00:25:50) - AWS Network Firewall Adds URL Category Based Filtering(00:28:32) - The CEO's Executive Dinner(00:29:21) - Gemini CLI Learning Course Launch(00:32:43) - Google Cloud opens new Bangkok Region Asia Southeast 3(00:36:08) - Apache Airflow 3.1 on Cloud Composer(00:38:36) - Google's Gemini for Government Launches(00:43:32) - BigQuery: Integrating AI into SQL queries(00:45:46) - SQL Server Management Studio 2.22.1 New Features & Changes(00:53:08) - Azure NAT Gateway: Standard V2 GAUNCH(00:55:31) - Microsoft Announces Unified Socks & DORA Compliance Solutions in(01:03:01) - IOM Deny Policies(01:04:59) - Google's Gemini CLI for Outages & Compliance(01:07:58) - Google's MCP for Docs(01:10:49) - Super Bowl LII

Key Metrics

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Pitches sent
64
From PodPitch users
Rank
#2668
Top 5.3% by pitch volume (Rank #2668 of 50,000)
Average rating
4.9
Ratings count may be unavailable
Reviews
14
Written reviews (when available)
Publish cadence
Several times per week
Active weekly
Episode count
267
Data updated
Feb 10, 2026
Social followers
515

Public Snapshot

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Country
United States
Language
EN-US
Language (ISO)
Release cadence
Several times per week
Latest episode date
Sat Feb 07 2026

Audience & Outreach (Public)

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Audience range
Under 4K / month
Public band
Reply rate band
20–35%
Public band
Response time band
30+ days
Public band
Replies received
1–5
Public band

Public ranges are rounded for privacy. Unlock the full report for exact values.

Presence & Signals

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Social followers
515
Contact available
Yes
Masked on public pages
Sponsors detected
No
Guest format
Yes

Social links

No public profiles listed.

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Reply rate18.2%
Avg response4.1 days
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Frequently Asked Questions About The Cloud Pod

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What is The Cloud Pod about?

The Cloud Pod is your one-stop-shop for all things Public, Hybrid, Multi-cloud, and private cloud. Cloud providers continue to accelerate with new features, capabilities, and changes to their APIs. Let Justin, Jonathan, Ryan and Peter help navigate you through this changing cloud landscape via our weekly podcast.

How often does The Cloud Pod publish new episodes?

Several times per week

How many listeners does The Cloud Pod get?

PodPitch shows a public audience band (like "Under 4K / month"). Book a demo to unlock exact audience estimates and how we calculate them.

How can I pitch The Cloud Pod?

Use PodPitch to access verified outreach details and pitch recommendations for The Cloud Pod. Start at https://podpitch.com/try/1.

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