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Identify Outdated TLS Versions in Azure with StackQL

· 2 min read
Technologist and Cloud Consultant

Have you received one of these?

Azure TLS Deprecation Email

Microsoft Azure is retiring TLS 1.0 and 1.1 for its services, requiring customers to transition to TLS 1.2 or later to ensure uninterrupted connectivity. If you have workloads still using older TLS versions, you’ll need to update them.

Using StackQL to Identify Non-Compliant Resources

With StackQL, you can quickly identify resources in your Azure environment that are still using older TLS versions. This article shows how to leverage StackQL queries to check various Azure services for compliance.

Prerequisites

  1. Pull the latest StackQL provider for Azure using REGISTRY PULL azure.
  2. Authenticate with Azure using StackQL by setting up your credentials as environment variables (or using your existing az login system/session authentication).

Queries to Run

Below are example queries you can use to identify resources affected by the TLS 1.2 requirement (use your subscriptionId of course):

1. Check Application Gateway Configurations

Azure Application Gateways may support older TLS versions. Run the following query to get their configurations:

SELECT
id,
name,
JSON_EXTRACT(properties, '$.sslPolicy') as ssl_policy,
JSON_EXTRACT(properties, '$.defaultPredefinedSslPolicy') as default_predefined_ssl_policy
FROM
azure.network.application_gateways
WHERE
subscription_id = '123e4567-e89b-12d3-a456-426614174000'
AND ssl_policy IS NOT NULL
AND JSON_EXTRACT(properties, '$.sslPolicy') NOT LIKE '%TLS12%';

This query lists all Application Gateways configured with TLS versions lower than 1.2.

2. Inspect App Service Configurations

If you use Azure App Services (Web Apps), check their TLS configurations with this query:

SELECT
id,
name,
JSON_EXTRACT(properties, '$.httpsOnly') as https_only,
JSON_EXTRACT(properties, '$.siteConfig.minTlsVersion') as min_tls_version
FROM
azure.web.web_apps
WHERE
subscription_id = '123e4567-e89b-12d3-a456-426614174000'
AND JSON_EXTRACT(properties, '$.siteConfig.minTlsVersion') < '1.2';

This returns all web apps that allow connections using TLS versions older than 1.2.

3. Check SQL Server Instances

Azure SQL Databases and SQL Managed Instances may also have TLS configurations that need checking:

SELECT
location,
fullyQualifiedDomainName,
minimalTlsVersion,
state
FROM
azure.sql.servers
WHERE
subscription_id = '123e4567-e89b-12d3-a456-426614174000'
AND minimalTlsVersion < '1.2';

This shows all SQL servers with a minimal TLS version set below 1.2.

We’d love to hear your feedback. ⭐ us on GitHub and let us know how StackQL helps you manage your Azure resources!

Anthropic Provider for StackQL Available

· 2 min read
Technologist and Cloud Consultant

The anthropic provider for stackql is now available in the dev stackql provider registry. The anthropic provider for stackql includes services for interacting with Claude models via the Messages API. To get started download stackql, set the ANTHROPIC_API_KEY environment variable and use the dev registry as shown here:

export DEV_REG="{ \"url\": \"https://registry-dev.stackql.app/providers\" }"
./stackql --registry="${DEV_REG}" shell

Then pull the anthropic provider using:

REGISTRY PULL anthropic;

Now you can run some queries. Here's an example running inference against Claude using the Messages API - the request parameters are supplied in the WHERE clause and the response is projected using JSON_EXTRACT:

SELECT
id,
model,
stop_reason,
JSON_EXTRACT(content, '$[0].text') AS assistant_message,
JSON_EXTRACT(usage, '$.output_tokens') AS output_tokens
FROM anthropic.messages.messages
WHERE model = 'claude-sonnet-5'
AND max_tokens = 1024
AND messages = '[{"role": "user", "content": "What is StackQL?"}]';
|------------------------------|-----------------|-------------|-------------------------------------------------------------|---------------|
| id | model | stop_reason | assistant_message | output_tokens |
|------------------------------|-----------------|-------------|-------------------------------------------------------------|---------------|
| msg_01MLTLVY6XCTT2cNBeFeJzfj | claude-sonnet-5 | end_turn | StackQL is a SQL-based framework that lets you query and | 48 |
| | | | manage cloud and SaaS resources using familiar SQL syntax. | |
|------------------------------|-----------------|-------------|-------------------------------------------------------------|---------------|

You can also discover which models are available and their capabilities using the vw_model_capabilities view:

SELECT id, display_name, thinking, adaptive, xhigh, max_input_tokens, max_tokens
FROM anthropic.models.vw_model_capabilities;
|-------------------|-----------------|----------|----------|-------|------------------|------------|
| id | display_name | thinking | adaptive | xhigh | max_input_tokens | max_tokens |
|-------------------|-----------------|----------|----------|-------|------------------|------------|
| claude-sonnet-5 | Claude Sonnet 5 | 1 | 1 | 1 | 200000 | 64000 |
| claude-opus-4-8 | Claude Opus 4.8 | 1 | 1 | 1 | 200000 | 32000 |
| claude-haiku-4-5 | Claude Haiku 4.5| 1 | 0 | 0 | 200000 | 64000 |
|-------------------|-----------------|----------|----------|-------|------------------|------------|

Like other language models, Claude's responses are stochastic, so you'll get slightly different responses each time you query.

Let us know what you think! ⭐ us on GitHub.

OpenAI Provider for StackQL Available

· 3 min read
Technologist and Cloud Consultant

The openai provider for stackql is now available in the dev stackql provider registry. The openai provider for stackql includes services assistants, audit_logs, batch, chat, completions, embeddings, files, images, models, moderations, projects, uploads, vector_stores, and more. To get started download stackql, set the OPENAI_API_KEY environment variable and use the dev registry as shown here:

export DEV_REG="{ \"url\": \"https://registry-dev.stackql.app/providers\" }"
./stackql --registry="${DEV_REG}" shell

Then pull the openai provider using:

REGISTRY PULL openai;

Now you can run some queries, here are a few simple examples:

stackql >>select * from openai.models.models;
|------------|------------------------------------|--------|-----------------|
| created | id | object | owned_by |
|------------|------------------------------------|--------|-----------------|
| 1712361441 | gpt-4-turbo | model | system |
|------------|------------------------------------|--------|-----------------|
| 1712601677 | gpt-4-turbo-2024-04-09 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1681940951 | tts-1 | model | openai-internal |
|------------|------------------------------------|--------|-----------------|
| 1699053241 | tts-1-1106 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1723515131 | chatgpt-4o-latest | model | system |
|------------|------------------------------------|--------|-----------------|
| 1698798177 | dall-e-2 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1677532384 | whisper-1 | model | openai-internal |
|------------|------------------------------------|--------|-----------------|
| 1706037777 | gpt-4-turbo-preview | model | system |
|------------|------------------------------------|--------|-----------------|
| 1727460443 | gpt-4o-audio-preview | model | system |
|------------|------------------------------------|--------|-----------------|
| 1692901427 | gpt-3.5-turbo-instruct | model | system |
|------------|------------------------------------|--------|-----------------|
| 1727389042 | gpt-4o-audio-preview-2024-10-01 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1706037612 | gpt-4-0125-preview | model | system |
|------------|------------------------------------|--------|-----------------|
| 1706048358 | gpt-3.5-turbo-0125 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1677610602 | gpt-3.5-turbo | model | openai |
|------------|------------------------------------|--------|-----------------|
| 1692634615 | babbage-002 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1692634301 | davinci-002 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1727131766 | gpt-4o-realtime-preview-2024-10-01 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1698785189 | dall-e-3 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1727659998 | gpt-4o-realtime-preview | model | system |
|------------|------------------------------------|--------|-----------------|
| 1722814719 | gpt-4o-2024-08-06 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1715367049 | gpt-4o | model | system |
|------------|------------------------------------|--------|-----------------|
| 1721172741 | gpt-4o-mini | model | system |
|------------|------------------------------------|--------|-----------------|
| 1715368132 | gpt-4o-2024-05-13 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1721172717 | gpt-4o-mini-2024-07-18 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1699046015 | tts-1-hd | model | system |
|------------|------------------------------------|--------|-----------------|
| 1699053533 | tts-1-hd-1106 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1698957206 | gpt-4-1106-preview | model | system |
|------------|------------------------------------|--------|-----------------|
| 1671217299 | text-embedding-ada-002 | model | openai-internal |
|------------|------------------------------------|--------|-----------------|
| 1683758102 | gpt-3.5-turbo-16k | model | openai-internal |
|------------|------------------------------------|--------|-----------------|
| 1705948997 | text-embedding-3-small | model | system |
|------------|------------------------------------|--------|-----------------|
| 1705953180 | text-embedding-3-large | model | system |
|------------|------------------------------------|--------|-----------------|
| 1698959748 | gpt-3.5-turbo-1106 | model | system |
|------------|------------------------------------|--------|-----------------|
| 1686588896 | gpt-4-0613 | model | openai |
|------------|------------------------------------|--------|-----------------|
| 1687882411 | gpt-4 | model | openai |
|------------|------------------------------------|--------|-----------------|
| 1694122472 | gpt-3.5-turbo-instruct-0914 | model | system |
|------------|------------------------------------|--------|-----------------|

The openai provider covers the control plane - models, files, fine-tuning jobs, batches, vector stores and more. Inference endpoints (chat completions, responses, embeddings, images and audio) are out of scope; use the vendor SDKs for invocation.

For example, poll your fine-tuning jobs and batches:

SELECT id, status, model, fine_tuned_model, trained_tokens
FROM openai.fine_tuning.jobs;

SELECT id, status, endpoint, request_counts
FROM openai.batches.batches
LIMIT 10;

Vector stores expose a full CRUD surface with file membership:

SELECT id, name, status, usage_bytes, file_counts
FROM openai.vector_stores.vector_stores;

More to come! Let us know what you think! ⭐ us on GitHub.

Updated Google Provider Available

· One min read
Technologist and Cloud Consultant

The latest google provider for stackql is available now, and includes a new oracledatabase service, including resources for cloud_vm_clusters, db_nodes, db_servers, cloud_exadata_infrastructures, entitlements, and more.

Summary stats for the new google provider:

Versionv24.09.00254
Total services168
Total resources1941


Let us know what you think! ⭐ us on GitHub.

stackql-deploy Docs Site Live

· One min read
Technologist and Cloud Consultant

The stackql-deploy docs site is now available, offering a comprehensive guide to using stackql-deploy for your cloud resource deployments and tests. The site includes detailed documentation, examples, and best practices to help you get started quickly and effectively.

tip

stackql-deploy is a declarative, stateless (and state file-less) infrastructure-as-code and test framework, driven by stackql queries. stackql-deploy is capable of provisioning, updating, de-provisioning and testing cloud and SaaS stacks across all cloud and SaaS providers.

stackql-deploy-github-actions-screenshot

Let us know what you think! ⭐ us on GitHub.