Skip to main content

· One min read

StackQL allows you to query and interact with your cloud and SaaS assets using a simple SQL framework. Use cases include CSPM, asset inventory and analysis, finops and more, as well as IaC and sysops (lifecycle management).

Using stackql and the awscc provider (AWS Cloud Control provider for stackql), here's how you can query your entire AWS estate in real time (globally) and generate a simple report like this...

aws-inventory-example

Check out the code at AWS Global Inventory!

Visit us and give us a ⭐ on GitHub

· 3 min read

StackQL allows you to query and interact with your cloud and SaaS assets using a simple SQL framework. Use cases include CSPM, asset inventory and analysis, finops and more, as well as our IaC and ops (lifecycle management).

The three major cloud providers all offer a built-in Linux shell for executing commands using their respective CLIs; in some cases, they come with tools like terraform pre-installed. They are pre-authorized with your credentials in the cloud console for the user you authenticated with.

Now you can easily use stackql - a unified analytics and IaC dev tool - in all major cloud providers' built-in shells, using cloud shell scripts packaged with the stackql Linux binary (available from v0.5.587 onwards).

StackQL is particularly useful for asynchronously querying across regions in AWS, projects in Google, or resource groups in Azure, which is challenging to do via the CLIs. For example:

SELECT region, COUNT(*) as num_functions
FROM aws.lambda.functions
WHERE region IN (
'us-east-1','us-east-2','us-west-1','us-west-2',
'ap-south-1','ap-northeast-3','ap-northeast-2',
'ap-southeast-1','ap-southeast-2','ap-northeast-1',
'ca-central-1','eu-central-1','eu-west-1',
'eu-west-2','eu-west-3','eu-north-1','sa-east-1')
GROUP BY region;

Additionally, you could authenticate to another provider from one cloud shell simultaneously and run multi-cloud inventory commands. For example:

SELECT 
name,
SPLIT_PART(machineType, '/', -1) as instance_type,
'google' as provider
FROM google.compute.instances
WHERE project IN ('myproject1','myproject2')
UNION
SELECT
instanceId as name,
instanceType as instance_type,
'aws' as provider
FROM aws.ec2.instances
WHERE region IN (
'us-east-1','us-east-2','us-west-1','us-west-2',
'ap-south-1','ap-northeast-3','ap-northeast-2',
'ap-southeast-1','ap-southeast-2','ap-northeast-1',
'ca-central-1','eu-central-1','eu-west-1',
'eu-west-2','eu-west-3','eu-north-1','sa-east-1');

Getting Started

To get started with StackQL in your preferred cloud shell environment, download the StackQL package using the following command:

curl -L https://bit.ly/stackql-zip -O \
&& unzip stackql-zip

This command downloads the StackQL package, unzips it, and sets the appropriate permissions. From there, you can use our tailored scripts for AWS, Google Cloud, or Azure to integrate StackQL seamlessly into your cloud shell environment.

Using StackQL in the AWS Cloud Shell

Run the stackql-aws-cloud-shell.sh as follows to use the StackQL command shell within the AWS cloud shell:

sh stackql-aws-cloud-shell.sh

An example is shown here:

aws-cloud-shell-example

You can also run stackql exec commands using the stackql-aws-cloud-shell.sh script; for instance, this command will write a CSV file for the results of a query that could be downloaded from the Cloud Shell.

sh stackql-aws-cloud-shell.sh exec \
--output csv --outfile instances.csv \
"SELECT region, instanceType FROM aws.ec2.instances WHERE region IN ('us-east-1')"

Additionally, you can supply an IAM role using the --role-arn argument to assume another role for your query or mutation operation, an example is shown here:

sh stackql-aws-cloud-shell.sh \
--role-arn arn:aws:iam::824532806693:role/SecurityReviewerRole exec \
--infile query.iql \
--output csv --outfile output.csv

Using StackQL in the Azure Cloud Shell

Run the stackql-azure-cloud-shell.sh as follows to open a StackQL command shell from the Azure Cloud Shell:

sh stackql-azure-cloud-shell.sh

An example is shown here:

azure-cloud-shell-example

Similar to the AWS script, you can also invoke stackql exec as well, an example is shown here:

sh stackql-azure-cloud-shell.sh exec \
--output csv --outfile instances_by_location.csv \
"SELECT location, COUNT(*) as num_instances FROM azure.compute.virtual_machines WHERE resourceGroupName = 'stackql-ops-cicd-dev-01' AND subscriptionId = '631d1c6d-2a65-43e7-93c2-688bfe4e1468' GROUP BY location"

Using StackQL in the Google Cloud Shell

Run the stackql-google-cloud-shell.sh as shown below to launch a StackQL command shell from within the google cloud shell:

sh stackql-google-cloud-shell.sh

An example is shown here:

google-cloud-shell-example

As with the other two providers, you can run exec commands following the example below:

sh stackql-google-cloud-shell.sh exec \
--output csv --outfile instances.csv \
"SELECT name, status FROM google.compute.instances WHERE project = 'stackql-demo'"

Please give us your feedback! Star us at github.com/stackql.

· One min read

StackQL allows you to query and interact with your cloud and SaaS assets using a simple SQL framework. Use cases include CSPM, asset inventory and analysis, finops and more, as well as our IaC and ops (lifecycle management).

Excited to announce the general availability of the latest StackQL providers for Azure. Includes expanded resource and method coverage including all of the latest Resource Manager services. The StackQL Azure provider catalog now includes:

  • azure - core Azure RM services
  • azure_extras - additional Azure services
  • azure_isv - Azure Native ISV software and services (like Databricks, Datadog, Confluent, Astro and more)
  • azure_stack - Azure Hybrid app framework

by the numbers...

ProviderTotal ServicesTotal MethodsTotal Resources
azure195138413920
azure_extras381164339
azure_isv20906253
azure18470142

More Data Plane services like Azure Container Registry coming as well, stay tuned!

· One min read
info

stackql is a dev tool that allows you to query and manage cloud and SaaS resources using SQL, which developers and analysts can use for CSPM, assurance, user access management reporting, IaC, XOps and more.

We're excited to announce the release of two new StackQL providers: datadog and pagerduty. The daatdog provider includes 41 services and 405 methods at your disposal, you can query and manage everything from APM retention filters, audit logs, to cloud workload security and more. More information on the dataog provider can be found here.

The pagerduty provider includes an array of services like events, metrics, monitors, and users to fully leverage the operational prowess of these platforms. Whether it's maintaining the security posture with cloud_workload_security and security_monitoring or managing resources with containers and incidents, StackQL gives you the visibility and control over pagerduty, datadog or numerous other XaaS platforms. More information on the pagerduty provider can be found here.

Let us know your thoughts! Visit us and give us a ⭐ on GitHub

· 2 min read
info

stackql is a dev tool that allows you to query and manage cloud and SaaS resources using SQL, which developers and analysts can use for CSPM, assurance, user access management reporting, IaC, XOps and more.

An exciting new feature to cap off 2023! Parallel query execution in StackQL. With the latest release of StackQL, parameters in WHERE IN clauses are fetched asyncronously.

This query for example, queries lambda functions across 17 AWS regions in under 1.5 sec, technically these are 17 parallel queries to 17 different endpoints.

SELECT region, function_name
FROM aws.lambda.functions
WHERE region IN ( 'us-east-1','us-east-2','us-west-1','us-west-2','ap-south-1','ap-northeast-3','ap-northeast-2','ap-southeast-1','ap-southeast-2','ap-northeast-1','ca-central-1','eu-central-1','eu-west-1','eu-west-2','eu-west-3','eu-north-1','sa-east-1'
)

You could do something similar for other hyperscalars, for example querying resources across projects in GCP asynchronously, or querying across resource groups in Azure asynchronously.

This capability was previously available using the pystackql package, as discussed in the Query Resources Across AWS Regions Asynchronously blog post, but is now available natively in the StackQL query optimizer.

You just need to add --execution.concurrency.limit=-1 to your stackql exec or stackql shell commands or when starting a StackQL Server using stackql srv. More query optimizations coming! Happy New Year! 🎉 🎉 🎉

Let us know your thoughts! Visit us and give us a ⭐ on GitHub