Deliver

 

in weeks, not years

More than only an Internal Developer Portal, Cycloid is the ready-made Platform Engineering solution, done sustainably.

The proof is in our clients

The proof is in our clients

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Unify your clouds, processes & tools for everyone

Our ready-made platform lets you streamline your infrastructure, manage deployments, monitor performance, and take back control of your costs (and carbon output) – and a whole lot more.

Self-Service Portal &
Platform Orchestration

Improve your DevX and help your end-users work with infra and automation without being DevOps or Cloud experts. Our Internal Developer Portal (IDP) automates repetitive tasks like scaffolding new projects, managing test cycles, and complex deployments so developers can get coding. The self-service portal lets your platform team set the service catalog, roles, and permissions, meaning end-users enjoy easy access to building and deploying new projects in control.

Projects lifecycle & Resources Management

Centralization is the key to infrastructure optimization. Cycloid helps you modernize your infra by generating infra-as-code (IaC) on the fly, work from a central projects management area, log asset inventory, create events, monitor KPIs, create docs, use infrastructure diagram, and develop secret & policies to manage runaway resources across all your projects. That’s a long list of really useful things.

Cloud & Carbon Impact Control

There’s only one world – and we believe everyone should make more sustainable choices – after all, an average company wastes 40% of its cloud resources. Cycloid’s built-in FinOps + GreenOps module centralizes all your hybrid and private cloud costs in a single panel while giving you insight into your cloud carbon footprint. See across all your projects and limit cloud waste. Who doesn’t want to save the balance sheet and the planet.

A streamlined solution for your organization

With Cycloid, Platform Teams apply governance and best practices, DevOps manage service catalogs, and end-users adopt the self-service portal. If it sounds simple and efficient for everyone, it’s because it is. See what you can do with our Platform Engineering solutions.

Cycloid named in Gartner® Hype Cycle 2024 for Platform Engineering and Site Reliability Engineering.

Monitor

Orchestrate your teams

Manage your projects and infra

Control your costs and cloud

Three reasons why you need Cycloid

Modernize your infrastructure with a move to GitOps and build your automation with Infra-As-Code, and config management. Your developers should be coding, not managing tickets.

Let anyone easily interact with tools, cloud, and automation without having to become an expert in self-service portals. Which means your people can focus on value-added tasks, faster than ever.

Cut your cloud spending and your carbon footprint impact with observability and governance tools. No one wants to waste, so don’t. More than best practice, it’s the best business sense.

Loved by teams

image 15

Pierre-Emmanuel Klotz

Former head of managed services at Orange Cloud for Business

Cycloid acts as a cornerstone with these tools, bringing something that we didn’t know before, something that we hadn’t already mastered before.

image 15

Pierre-Emmanuel Klotz

Former head of managed services at Orange Cloud for Business
Discover Cycloid now

Put your people in control, make software delivery more efficient, manage your cloud costs – and help the planet with our sustainable Platform Engineering platform.

Latest news

March 25, 2025
Let’s say you are a Senior Site Reliability Engineer at a startup. You manage multiple infrastructure teams overseeing environments deployed across major cloud platforms, including AWS, Google Cloud Platform (GCP), Azure, IBM Cloud, Oracle Cloud (OCI), and a few private on-premises environments. Your finance team urgently needs a consolidated infrastructure cost report covering all these environments. What’s your immediate approach? Would you manually log in to each cloud provider's console or use their respective command-line interfaces (CLIs) to individually extract resource lists and cost reports? In reality, manual logins or CLI scripts become impractical very quickly. Imagine a developer spinning up a test database instance on GCP but forgetting about it, an unused Azure load balancer left running for weeks, or an AWS S3 bucket mistakenly left publicly accessible. Perhaps an IAM role in Oracle Cloud or IBM Cloud still has permissions months after an employee has departed. These aren’t hypothetical scenarios - they occur regularly in complex, multi-cloud environments.

What is Asset Inventory Management in the Cloud?

To understand asset inventory management in the cloud, first ask yourself: What is asset inventory? Traditionally, an inventory asset referred to physical items like servers, storage devices, or networking equipment in data centers. These assets had fixed locations, purchase dates, and clearly defined lifecycles. But cloud asset inventory changes this entirely. Today, inventory is considered an asset only if you have complete visibility into it. Resources are ephemeral—virtual machines, containers, databases, and networks can appear and vanish within minutes. Without proper asset inventory management, tracking these dynamic resources becomes nearly impossible. Here's a simplified overview of how inventory management typically works, especially relevant for cloud environments: As shown, effective asset inventory management involves a clear, repeatable cycle:
  1. Identify Assets: Discover all existing cloud resources across multiple providers.
  2. Record Asset Details: Capture essential details such as resource type, location, ownership, and billing information.
  3. Track Asset Lifecycle: Monitor assets from provisioning through active usage to eventual retirement or deletion.
  4. Monitor Usage & Status: Regularly track resource utilization to avoid unnecessary costs or downtime.
  5. Perform Regular Audits: Periodically verify resources, ensuring accurate inventory and compliance.
  6. Update Records: Adjust inventory records based on audit results or infrastructure changes.
  7. Generate Reports & Insights: Provide actionable data on resource allocation, cost, and compliance.
  8. Optimize Inventory: Continuously refine resource allocation and lifecycle management for improved efficiency.
Cloud providers like AWS, Azure, and GCP each have their own APIs, naming conventions, and billing structures, scattering asset data across multiple tools. For example, your AWS resources may be logged by AWS Config, Google resources tracked by GCP Asset Inventory, and Azure resources queried through Azure Resource Graph. Without robust asset inventory management software, consolidating these insights into a cohesive view becomes challenging. This fragmented approach to cloud asset inventory isn't just inefficient—it's costly and risky. Effective asset inventory management ensures every cloud resource is accounted for, optimizes spending, and significantly reduces security vulnerabilities. A dedicated asset inventory manager or automated software solution can centralize and streamline this complex task, bringing clarity and governance back to hybrid and multi-cloud operations.

What are the Challenges within Multi-Cloud Inventory?

Now in multi-cloud environments, things get even more complicated. Each provider has its own way of handling inventory, permissions, and tracking. Without a well-defined strategy, visibility becomes fragmented, and operational overhead increases. Let’s take a look at some of the challenges that teams face when trying to track assets across multiple cloud providers.

Different APIs & Data Formats

AWS, GCP, Azure, and other cloud providers like Outscale and IONOS each have their own APIs and services for structuring and accessing cloud resources. While resource data is generally formatted in widely used standards like JSON or CSV, the methods for retrieving it - via CLI tools, SDKs, or direct API calls - vary significantly across providers. For example, AWS provides resource visibility through AWS Config, GCP offers its Asset Inventory service, and Azure relies on Resource Graph for querying cloud resources. Similarly, European cloud providers like Outscale and IONOS have their own APIs and tools for resource management. Despite achieving similar goals, differences in APIs, authentication mechanisms, and command-line syntax mean organizations often require custom integrations or separate scripts to consolidate inventory data across multiple clouds. This adds complexity and overhead when creating a unified, centralized asset inventory view.

Access & Permissions

IAM management is already complex within a single cloud provider, but managing roles, service accounts, and permissions across multiple clouds is an entirely different challenge. A role with overly permissive access in one cloud could create a security risk, while an untracked service account in another could become an attack vector. Ensuring consistent access policies across platforms is one of the hardest parts of multi-cloud asset management.

Lack of a Single Source of Truth

In most organizations, asset data is scattered. Some teams rely on AWS Config, others use GCP Asset Inventory, and a few still maintain spreadsheets to track critical resources. When data is fragmented across multiple tools and platforms, no single dashboard provides a complete picture of what exists in the cloud, making audits and compliance checks a nightmare.

Scaling Inventory Processes

What works for a small environment with 50 resources quickly falls apart when you’re managing 5,000+ resources across multiple accounts and regions. Manual tracking isn’t scalable, and without automation for tagging, reporting, and asset discovery, the process becomes unmanageable. Without proper guardrails, resources get lost, permissions drift, and costs spiral out of control. To overcome these challenges, teams need a more structured, automated approach to tracking cloud assets - one that works across providers and scales with infrastructure growth.

What Are the Core Approaches to Track Asset Inventory Across Clouds?

Now, let’s go through some key methods that organizations use to maintain a reliable and up-to-date asset inventory.

Native Cloud Services

Each cloud provider offers built-in tools for asset tracking. While they don’t work across platforms, they provide a great visibility into resources within their own ecosystem.
  • AWS Config – Tracks AWS resource changes automatically and records configurations over time.
  • AWS Resource Explorer – Helps search for AWS resources across accounts and regions, making it easier to find orphaned or untagged assets.
  • AWS Systems Manager (SSM) Inventory – Collects metadata about EC2 instances and applications, providing insight into running workloads.
  • GCP Asset Inventory – Provides a real-time view of all GCP resources, including IAM roles and permissions.
  • Azure Resource Graph – Allows for large-scale queries across Azure subscriptions to track deployed resources.
These tools are important for visibility within individual cloud environments, but they don’t provide a unified, cross-cloud view. That’s where Infrastructure as Code (IaC) comes in.

IaC State Files

Infrastructure as Code (IaC) offers a provider-agnostic way to manage cloud infrastructure, making it one of the most effective strategies for multi-cloud asset tracking.
  • Terraform State: Terraform maintains an internal state file (terraform.tfstate) that acts as an authoritative inventory of all provisioned cloud resources. Every time Terraform provisions or modifies infrastructure, this state file is updated. You can directly query Terraform state to list all managed resources by running commands such as terraform state list.
  • Pulumi State –  Similar to Terraform, Pulumi stores infrastructure state in a backend that records all provisioned resources across multiple clouds. This state file acts as Pulumi's inventory source. You can query your infrastructure inventory with pulumi stack export command. This command exports state as JSON, allowing you to extract resource inventory information clearly.
Using IaC as an inventory mechanism ensures consistency across cloud resources and helps prevent configuration drift. However, state files alone are not enough - you still need a way to centralize and analyze asset data. By combining native cloud tools and IaC state files, organizations can maintain an accurate and scalable cloud asset inventory. But tracking assets isn’t enough - teams also need automation to enforce tagging, detect changes, and ensure compliance.

Hands-On: Automating Asset Inventory with Terraform & AWS

Now, instead of relying on engineers to track cloud assets manually, we'll automate asset inventory management using AWS Config. AWS Config serves as a built-in inventory management solution for AWS by continuously recording and maintaining a detailed list of all resources in your account. Each resource created, modified, or deleted is logged in real-time, providing a comprehensive, historical inventory stored securely in an S3 bucket. Let’s go through each step one by one.

Step 1: Set Up AWS Config to Track All Resources

AWS Config is a service that keeps track of every AWS resource and logs any changes. It stores these records in S3, so you can go back and see what was created, deleted, or modified at any time. First, we need an S3 bucket to store AWS Config logs. Since every S3 bucket name must be unique, Terraform adds a random suffix to ensure no naming conflicts.
provider "aws" { region = "us-east-1" } resource "random_pet" "s3_suffix" { length    = 2 separator = "-" } resource "aws_s3_bucket" "config_logs" { bucket        = "cyc-infra-bucket-${random_pet.s3_suffix.id}-prod" force_destroy = true } Next, we create an IAM role that allows AWS Config to write logs to this S3 bucket. resource "aws_iam_role" "config_role" { name = "config-role-prod" assume_role_policy = jsonencode({ Version = "2012-10-17" Statement = [{ Effect = "Allow" Principal = { Service = "config.amazonaws.com" } Action = "sts:AssumeRole" }] }) } resource "aws_iam_role_policy_attachment" "config_s3_attach" { policy_arn = "arn:aws:iam::aws:policy/service-role/AWS_ConfigRole" role       = aws_iam_role.config_role.name } Now, we enable AWS Config and tell it to track all AWS resources. resource "aws_config_configuration_recorder" "config_recorder" { name     = "config-recorder-prod" role_arn = aws_iam_role.config_role.arn } resource "aws_config_delivery_channel" "config_delivery" { name           = "config-channel-prod" s3_bucket_name = aws_s3_bucket.config_logs.id } resource "aws_config_configuration_recorder_status" "config_recorder_status" { name       = aws_config_configuration_recorder.config_recorder.name is_enabled = true depends_on = [aws_config_delivery_channel.config_delivery] }
  Once we run terraform apply, AWS Config will start tracking all AWS resources and logging every change. To check if it’s working:
aws configservice describe-configuration-recorders
If AWS Config is set up correctly, the output will confirm that it’s tracking resources.   config

Step 2: Enable AWS Resource Explorer

When you’re managing multiple AWS accounts, finding resources is a pain. AWS Resource Explorer makes it easier by allowing you to search for instances, databases, and other resources across all AWS accounts and regions. We enable AWS Resource Explorer using Terraform by creating an aggregated index that gathers data from all AWS accounts.
resource "aws_resourceexplorer2_index" "resource_explorer_index" { name = "resource-index-prod" type = "AGGREGATOR" } resource "aws_resourceexplorer2_view" "resource_explorer_view" { name  = "resource-view-prod" scope = "ALL" }
After applying this, you can search for AWS resources across accounts and regions in seconds. To verify:
aws resource-explorer-2 list-views
If set up correctly, this will show the available views.   aws resource

Step 3: Automate Tag Enforcement with AWS Lambda & EventBridge

Many teams struggle with inconsistent resource tagging. Some engineers follow tagging rules, others forget, and some resources end up with no tags at all. Missing tags make it hard to track costs, enforce security, and find resources. To fix this, we create a Lambda function that automatically tags resources when they are created.
resource "aws_lambda_function" "tag_enforcer" { function_name    = "tag-enforcer-prod" filename         = "lambda.zip" source_code_hash = filebase64sha256("lambda.zip") handler          = "index.handler" runtime         = "python3.9" role            = aws_iam_role.lambda_role.arn }
But how do we make sure this Lambda function runs every time a new resource is created? We use AWS EventBridge to detect new resource creation events and trigger the Lambda function.
resource "aws_cloudwatch_event_rule" "resource_creation_rule" { name        = "resource-creation-prod" description = "Triggers on new resource creation" event_pattern = jsonencode({ source = ["aws.ec2", "aws.s3", "aws.lambda"] detail-type = ["AWS API Call via CloudTrail"] detail = { eventSource = ["ec2.amazonaws.com", "s3.amazonaws.com", "lambda.amazonaws.com"] eventName = ["RunInstances", "CreateBucket", "CreateFunction"] } }) }
Now, whenever a new EC2 instance, S3 bucket, or Lambda function is created, the tag enforcer will automatically apply mandatory tags. To verify:
aws lambda list-functions | grep "tag-enforcer"
If the function exists, it means the tagging enforcement is set up.   tag-enforcer

Step 4: Use AWS Organizations for Multi-Account Management

If you’re managing multiple AWS accounts, keeping track of resources across accounts is a nightmare. AWS Organizations makes this easier by bringing all accounts under one umbrella, ensuring that they follow the same security and tagging rules. Terraform enables AWS Organizations to enforce account-wide policies.
resource "aws_organizations_organization" "org" { feature_set = "ALL" }
Now, AWS Organizations will ensure that all accounts use the same inventory and compliance rules. To verify:
aws organizations describe-organization
If set up correctly, this will show the organization structure.   organization

Step 5: Querying AWS Config for Tracked Resources

Now that AWS Config is actively tracking all resources in your AWS environment, the next step is to retrieve asset inventory reports. This helps teams understand what resources exist, their configuration history, and who owns them. To fetch all tracked AWS resources, use:
aws configservice list-discovered-resources --resource-type AWS::AllSupported --max-items 50
   querying aws config This confirms AWS Config is tracking EC2 instances, S3 buckets, and IAM roles, along with their unique resource IDs and creation timestamps.

Step 6: Retrieve AWS Resource Configuration History

Now, tracking inventory changes over time is important for troubleshooting, security audits, and compliance tracking. To check the configuration history of an EC2 instance:  
aws configservice get-resource-config-history \ --resource-type AWS::EC2::Instance \ --resource-id i-0a9b3f25c7d891e3f \ --limit 5
  Once you run this command, you’ll be able see an output like this:   retrieve aws resource With this setup in place, cloud asset tracking becomes a simple process. AWS Config continuously monitors resources, recording changes and storing logs in S3 for auditing, significantly simplifying Terraform-driven compliance audits and governance efforts. AWS Resource Explorer centralizes search across multiple AWS accounts and regions, making it easy to locate specific resources. AWS Lambda, triggered by EventBridge, enforces tagging policies the moment a new resource is created, ensuring consistency. AWS Organizations unifies resource management, applying governance rules across multiple accounts. Every resource is automatically recorded, searchable, and governed. Any changes are logged, ensuring compliance and security. Infrastructure scales without losing visibility, and costs stay under control by preventing unused resources from lingering. Asset management is no longer an operational burden - it runs as an integrated part of the cloud environment, keeping everything structured and predictable. Now that we’ve covered how to track and automate cloud asset inventory, there’s still one major problem - visibility across multiple clouds. Even with AWS Config, GCP Asset Inventory, and Terraform state files, asset tracking remains scattered. There’s no single place where teams can see all their cloud resources across AWS, GCP, and Azure. Searching for a resource still means jumping between multiple dashboards, and ensuring compliance and governance requires manual intervention.

How Cycloid Handles Cloud Asset Management Across Multiple Clouds

This is where Cycloid steps in. Cycloid provides a unified asset inventory that integrates easily across multiple cloud providers. Instead of managing infrastructure separately for each cloud, Cycloid brings everything into one place, making it easier to track, standardize, and govern cloud assets. Teams managing infrastructure across multiple clouds often struggle with fragmented visibility. A resource might exist in AWS but have dependencies in GCP, and a networking component might reside in Azure. Without a single source of truth, DevOps teams end up switching between different consoles just to track their infrastructure. Cycloid eliminates this complexity by offering a centralized dashboard that consolidates all cloud assets in one place.  cycloid handles cloud asset From the dashboard, teams can:
  • Access their favorite projects.
  • Track cloud costs across multiple cloud providers.
  • Monitor carbon emissions of infrastructure.
  • Check recent activity logs, consolidating events across AWS, GCP, and Azure.
Inventory Management:
  • Single, unified view: Provides visibility of all cloud assets, eliminating the need to log in to multiple cloud provider platforms.
  • Real-time tracking: Offers centralized tracking of resource usage, ownership, and configuration changes.
Cycloid structures cloud management clearly into:
  • Projects: Top-level units grouping resources across AWS, GCP, and Azure.
  • Environments: Multiple isolated environments within each project, such as development, staging, or production.
  • Components: Individual resources or services like virtual machines, Kubernetes clusters, databases, or networking resources deployed within environments.
Inventory Management:
  • Centralized inventory: Projects and environments automatically maintain accurate resource tracking.
  • Lifecycle management: Consistently track, audit, and manage infrastructure inventory across multiple clouds.
infrastructure inventory With this structure, teams don’t need to worry about cloud provider differences. Instead of jumping between AWS, GCP, and Azure dashboards, they can create projects, define environments, and deploy infrastructure - all from one place. The process of setting up infrastructure in Cycloid is pretty simple. A new project can be created and linked to a repository, allowing teams to manage configurations centrally. Ownership and permissions are defined during project creation, ensuring security and accountability. security and accountability Once a project is set up, an environment is created within it. Each environment acts as an isolated workspace for different infrastructure stages, ensuring that testing and production workloads remain separate. Managing infrastructure manually across multiple clouds is inefficient. Cycloid simplifies this by offering StackForms, which allow teams to deploy cloud components using predefined templates. Instead of writing Terraform or CloudFormation scripts from scratch, teams can select a pre-configured infrastructure stack, customize parameters, and deploy their cloud resources within minutes.  cloud resources StackForms make it easy to deploy networking, compute, storage, and security components across AWS, GCP, and Azure. Teams can define configurations directly from the Cycloid interface without needing to write complex automation scripts. After selecting a component, configurations such as credentials, project settings, network configurations, and cloud-specific parameters are applied. This ensures that infrastructure deployments remain consistent across cloud providers. cloud providers Beyond infrastructure deployment, governance and compliance are key concerns for cloud teams. Cycloid ensures that resources follow organizational standards by enforcing consistent tagging policies, compliance checks, and security best practices. It allows security and DevOps teams to define global policies that apply across all cloud providers, reducing the risk of misconfigurations. Cloud inventory data isn’t just for viewing - it needs to be actionable. Cycloid provides an API that enables teams to interact with their cloud inventory programmatically. This API can be used to automate reporting, governance enforcement, and integration with other DevOps tools, ensuring that cloud asset data remains an integral part of infrastructure workflows. By the time everything is configured, Cycloid provides a fully unified asset inventory across all cloud providers. Instead of dealing with fragmented tools and scattered logs, organizations get a structured, scalable system for managing cloud assets efficiently. Now, cloud inventory data isn’t just for viewing - it needs to be actionable. A static inventory doesn’t provide much value if teams still need to manually track, verify, and manage cloud resources. This is where APIs come in, allowing teams to interact with cloud asset inventory programmatically, ensuring that resource data is always available for automation, governance enforcement, and integration with DevOps workflows. With the Cycloid API, teams can:
  • Fetch real-time cloud inventory data across AWS, GCP, and Azure without logging into multiple dashboards.
  • Automate infrastructure reporting, making sure all cloud assets are properly tagged, allocated, and compliant.
  • Integrate with existing DevOps pipelines, so cloud resource changes trigger workflows in tools like Terraform, CI/CD platforms, or monitoring solutions.
For example, if an organization wants to validate all deployed resources against compliance rules, the Cycloid API allows them to fetch cloud inventory data, compare it against predefined policies, and trigger remediation workflows if necessary. This API-driven approach ensures that asset inventory data remains an integral part of cloud governance, rather than being a static record. Instead of DevOps teams relying on manual checks, cloud resource data flows directly into monitoring, security, and cost management workflows - ensuring infrastructure remains compliant, efficient, and scalable. For More details on Cycloid’s API, Check out this documenation.

Conclusion

With a structured approach to cloud asset management, tracking resources across hybrid and multi-cloud environments becomes seamless. Automating inventory management ensures visibility, security, and cost control, eliminating manual inefficiencies. By now, you should have a clear understanding of how to manage cloud assets effectively, keeping your infrastructure organized, compliant, and scalable.

Frequently Asked Questions

What is a Hybrid and Multi-cloud Approach?? A hybrid cloud combines on-premise infrastructure with public or private cloud services, while a multi-cloud approach uses multiple cloud providers (AWS, Azure, GCP) to avoid vendor lock-in and improve resilience. What is the Role of a Cloud Asset Inventory? A cloud asset inventory provides visibility, tracking, and governance over all cloud resources, helping teams monitor usage, enforce security policies, and optimize costs. What is the Best Way to Record Inventory? Automating asset tracking using cloud-native tools (AWS Config, GCP Asset Inventory), Infrastructure as Code (Terraform state files), and centralized dashboards ensures accuracy and real-time updates....
March 13, 2025
As organizations like yours scale, platform engineering teams face constant pressure to deliver seamless experiences, reduce complexity, and maintain security. And you face the battle to improve the developer experience and still deliver. At Cycloid, our mission is to promote efficient infrastructure and software delivery alongside digital sustainability, all while lightening the cognitive load on IT teams - so we’re excited to share Components with you today. Components, along with existing projects and environments, gives you a new way to organize and manage your applications more efficiently. With Components, you can now decouple stacks from projects, allowing a single project to contain multiple, distinct components, each linked to a specific environment and stack. This helps teams govern their multi-tenant environments more effectively and streamline resource deployments in a way that matches complex platform engineering and DevOps practices. Managing your Applications production-image With Components, instead of managing separate projects for different parts of your application, you can now create a single project named ‘My Company Website’ that includes: My Company Website Backend for your API and business logic. My Company Website Frontend for the user-facing interface. My Company Website Docs for documentation and resources. With this new architecture you now have a centralized and cohesive view of your entire application, which streamlines workflows by reducing the need to switch between projects. Multi-Tenancy for Better Governance An important part of Cycloid is our commitment to multi-tenancy. Components fine-tunes that functionality to address the evolving needs of smaller teams and large enterprises. You can now govern multiple internal or external users with even more precise Role-Based Access Control (RBAC), which means the right people have the right access at the right time. By centralizing governance, your teams benefit from tighter security, better collaboration, and reduced overhead. The Power of Managed Resource Deployment managed-resource-deployment Next up is our new approach to managed resource deployment. We’ve integrated: StackForms for straightforward setup. Instead of hunting down a dozen different interfaces, you manage everything in a single, streamlined form. GitOps-Powered Pipelines for an automated, traceable workflow that logs every change. Think of it as having an extra set of eyes on your code, so you always know who did what and when. Asset Inventory & Resource Inventory (InfraView) that gives you a bird’s-eye view of your cloud resources. You can pinpoint the exact state of your infrastructure without scanning huge files. Terraform Backend Management that keeps your configurations organized and your team's sanity intact. Environments that Scale with You components Ever promoted a change in dev and then found out it broke in staging? Testing and deploying across dev, staging, and production should feel straightforward, not daunting. As part of Components, updates to environment configurations will let you govern, clone, and promote environments quickly, while also composing solutions from multiple stacks. Now you can scale up (or down) without juggling countless scripts or manual processes. And when coupled with improved security features like shared variables and centralized cloud account management, your team will be able to innovate with greater confidence. Balancing Flexibility and Security production-frontend At Cycloid, we understand that true innovation happens when teams are freed from complexity. With Components, flexible, high-level governance to maintain consistency across the organization becomes reality. And add in customizable rules for individual or all projects that are part of an application (or many applications), we’re helping you find the balance between autonomy and oversight. Where to Learn More We’ve updated our documentation to reflect the release of Components. If you want to know more about the specifics of this, or managed resource deployment approach, you’ll find everything you need in our online docs. We encourage you to explore and let us know what you think. Ready to Scale, Govern, and Innovate? If you have any questions, don’t hesitate to reach out. We’re always here to help you unlock the full potential of your platform engineering efforts with Cycloid.
...
March 10, 2025
Cloud usage is growing fast, but so are the challenges that come with it. According to the Flexera 2024 State of the Cloud Report, 89% of organizations now use multiple cloud providers. At the same time, 81% of businesses struggle with managing their security and cloud governance. Without strong governance, organizations risk a lot of security breaches, compliance failures, and unexpected costs at the same time. One example of poor cloud governance is the Capital One data breach in 2019, where a misconfigured AWS S3 bucket exposed over 100 million customer records. Misconfigurations like this are among the top causes of cloud security failures. They happen because policies are either missing or not enforced properly. This is where compliance audits come in. By defining governance policies in code, organizations can automate security checks, prevent misconfigurations, and ensure compliance in AWS environments.

What is Cloud Governance?

Cloud governance is the set of rules and controls that organizations use to manage cloud resources efficiently. These rules ensure that every resource follows security, compliance, and operational standards. Without governance, AWS environments can quickly become disorganized, and non-compliant.

Risks of Poor Cloud Governance

Without a governance framework, misconfigurations and security gaps can easily go unnoticed by your teammates. Some common risks include:
  • Overly Permissive IAM Policies – Users and services may have more access than necessary, increasing security risks.
  • Uncycd Storage – Publicly accessible S3 buckets or unencrypted EBS volumes may expose sensitive data.
  • Weak Network Security – Poorly configured security groups and VPC rules can expose cloud resources to the internet.
  • Compliance Failures – Without continuous monitoring, resources may drift away from industry standards like CIS, NIST, PCI-DSS, and ISO 27001.
Governance gaps often go unnoticed until an audit or a breach occurs. A single misconfiguration can lead to a major security incident, making continuous enforcement essential.

The Role of Compliance Audits in Enforcing Governance Standards

A compliance audit is a structured process to check if cloud environments follow security and regulatory policies. These audits help organizations:
  • Detect Misconfigurations Early – Regular checks help identify security risks before they are exploited.
  • Ensure Compliance with Industry Standards – Frameworks like SOC 2, HIPAA, and GDPR require strict security policies. Compliance audits verify adherence.
  • Prevent Configuration Drift – Infrastructure may change over time. Audits ensure that cloud resources stay aligned with security baselines defined by the organization.
Manual audits require security teams to inspect cloud configurations at regular intervals, comparing them against compliance standards. This process often leads to inconsistencies, as different teams may interpret policies differently or miss configuration drifts. Terraform eliminates these inconsistencies by automating compliance checks, enforcing security baselines, and ensuring that infrastructure remains aligned with governance policies across all deployments.

Defining Cloud Governance Policies with Terraform

Cloud environments require well-defined governance policies to maintain security, enforce compliance, and prevent misconfigurations. Without strict policy enforcement, AWS environments can become fragmented, introducing security risks and operational inconsistencies. Terraform provides a way to codify governance policies, ensuring they are consistently applied across all infrastructure deployments. Governance policies in AWS typically focus on identity and access management (IAM), storage security, and network security. Each of these domains plays a crucial role in enforcing security best practices. Let’s examine how Terraform helps implement and enforce these governance policies at scale.

IAM Policies: Enforcing Least Privilege Access

IAM is the foundation of cloud security, controlling who can access resources and what actions they can perform. Over-permissioned IAM policies are a major security risk, often leading to privilege escalation and unauthorized data access. Enforcing the principle of least privilege (PoLP) ensures that identities only have the minimal permissions required to function. Terraform allows organizations to define IAM policies programmatically, ensuring uniform enforcement across environments. A common security requirement is restricting access to S3 buckets by assigning read-only permissions to a specific IAM role.

Effect   = "Allow" Action   = ["s3:GetObject"] Resource = "arn:aws:s3:::my-cyc-bucket/*"

By defining IAM policies as code, Terraform eliminates the risks associated with manual misconfiguration and overly permissive access controls. This approach makes sure that the IAM best practices are consistently enforced across all AWS accounts.

Storage Governance: Securing S3 and Enforcing Encryption

Misconfigured storage is one of the leading causes of data breaches in the cloud. Publicly accessible S3 buckets, unencrypted storage, and missing logging mechanisms can expose sensitive information. Terraform allows organizations to enforce storage security policies at the infrastructure level. S3 bucket policies can be configured to block public access, ensuring that no accidental exposure occurs. Encryption can also be enforced to protect data at rest, ensuring compliance with CIS, PCI-DSS, and NIST standards.

block_public_acls   = true block_public_policy = true restrict_public_buckets = true

By integrating these storage policies into Terraform modules, security teams can standardize encryption and access policies across multiple environments, eliminating manual errors and enforcing compliance from the start.

Network Governance: Restricting Traffic and Enforcing VPC Security

Unrestricted network access poses a significant security threat in AWS environments. Misconfigured security groups, network ACLs (NACLs), and VPC peering rules can expose resources to the public internet, increasing the attack surface. Terraform enables teams to define security group rules as part of infrastructure deployments, ensuring that only authorized traffic flows into cloud workloads. If an organization wants to allow SSH access only from a trusted IP address, this can be enforced at deployment.  
from_port   = 22 to_port = 22 protocol = "tcp" cidr_blocks = ["203.0.113.0/32"]
  By defining network policies in Terraform, organizations prevent open security groups, enforce zero-trust network segmentation, and eliminate the risk of accidental exposure of some important services.

Scaling Governance Policies with Terraform

Manually managing security policies across multiple AWS accounts and environments introduces inconsistency and risk. Terraform provides a way to standardize governance policies, ensuring that security configurations remain declarative, version-controlled, and reproducible. By integrating Terraform with CI/CD pipelines, organizations can enforce security policies before deployment, preventing misconfigurations from ever reaching production. Terraform can also be used with AWS Config to detect configuration drift, alerting teams when resources deviate from the approved governance baseline. Effective governance requires continuous enforcement, real-time monitoring, and automated remediation. By using Terraform to manage IAM, storage, and network policies, organizations can proactively cyc their AWS environments, enforce compliance at scale, and eliminate any kind of security gaps within the infra.

Automating Compliance Audits Using Terraform

Manually auditing cloud environments for compliance is inefficient, prone to errors, and difficult to scale. Security teams often rely on periodic reviews to identify misconfigurations, but by the time these audits are completed, the infrastructure may have already drifted away from compliance standards. Terraform addresses this challenge by automating compliance audits, ensuring that governance policies are continuously enforced and deviations are detected early. Compliance frameworks like CIS, NIST, and PCI-DSS provide security benchmarks that organizations must follow to cyc their cloud environments. Terraform enables teams to define these governance policies as code and validate infrastructure configurations against them. By integrating Terraform with AWS services like AWS Config, organizations can automatically detect and remediate non-compliant resources, reducing the risk of security incidents.

Defining Compliance Checks in Terraform

The first step in automating audits is defining compliance baselines in Terraform. These baselines outline the required configurations for cloud resources, ensuring that security policies are applied consistently across deployments. For example, a compliance rule might state that all S3 buckets must be encrypted and block public access by default. Terraform can enforce this by defining security policies at the infrastructure level.  
block_public_acls   = true block_public_policy = true restrict_public_buckets = true
  By applying these policies at deployment, Terraform prevents security misconfigurations before they happen, ensuring that infrastructure always meets compliance requirements.

Terraform’s Declarative Approach to Governance Audits

Terraform follows a declarative model, meaning infrastructure is defined in code and any deviations from the expected state are flagged. This makes it easier to enforce governance policies, as Terraform continuously compares the actual infrastructure state with the desired configuration. With the Terraform plan, teams can preview infrastructure changes before applying them. If a change violates compliance policies - such as enabling public access on an S3 bucket - Terraform will flag it, preventing accidental misconfigurations. This approach acts as an automated security check, ensuring that governance rules are followed throughout the infrastructure lifecycle.

Integrating AWS Config with Terraform for Continuous Monitoring

While Terraform helps enforce governance at deployment, AWS Config ensures that compliance is maintained over time. AWS Config continuously monitors AWS resources and detects any drift from security baselines. When integrated with Terraform, AWS Config can automatically trigger alerts or remediation actions when a resource becomes non-compliant. For example, if an S3 bucket’s encryption setting is disabled, AWS Config can detect the change, and Terraform can be used to automatically reapply the correct security settings.
resource "aws_config_config_rule" "s3_encryption_check" { name = "s3-encryption-check" source { owner = "AWS" source_identifier = "S3_BUCKET_SERVER_SIDE_ENCRYPTION_ENABLED" } }
By using AWS Config alongside Terraform, organizations can maintain compliance across AWS environments, detecting and correcting misconfigurations in real time.

Generating Governance Compliance Reports with Terraform

Governance audits often require detailed reporting to demonstrate compliance with regulatory frameworks. Terraform outputs can be used to generate compliance reports, providing visibility into security controls and infrastructure state. Terraform can output a list of non-compliant resources, allowing security teams to track violations and remediate them efficiently.
output "non_compliant_resources" { value = aws_config_config_rule.s3_encryption_check.arn }
  These reports can be integrated into security dashboards, helping organizations maintain transparency and track compliance trends over time.

Proactive Compliance Auditing with Terraform

By automating compliance checks with Terraform, organizations move from a reactive to a proactive approach in cloud governance. Instead of waiting for audits to uncover security gaps, Terraform ensures that compliance policies are enforced before deployment and continuously monitored after deployment. With a combination of policy-as-code, AWS Config, and automated reporting, Terraform enables organizations to maintain a cyc, compliant, and well-governed AWS environment at scale.

Hands-On: Implementing Cloud Governance with Terraform

Governance policies ensure that cloud environments remain cyc, compliant, and well-structured. However, defining policies alone is not enough - these rules must be enforced at every stage of infrastructure deployment. Terraform enables organizations to implement governance controls as code, ensuring that security policies are applied consistently across all AWS environments. This section focuses on setting up Terraform for governance enforcement, applying IAM policies to restrict access, securing S3 storage, enforcing network security rules, integrating AWS Config for compliance monitoring, and generating governance audit reports. By the end of this implementation, Terraform will automate governance policies, detect any deviation from security baselines, and ensure that AWS resources remain compliant.

Setting Up Terraform for Governance Enforcement

Before applying governance policies, Terraform needs to be configured to interact with AWS. The first step is to verify AWS authentication by running:  
aws sts get-caller-identity
  This command confirms the authenticated AWS account and user details. A successful response should return output similar to:    authenticated aws account Once authentication is confirmed, Terraform must be initialized to prepare the environment for infrastructure provisioning. Running the terraform init command installs required provider plugins and ensures Terraform is ready to apply governance policies. With Terraform set up, governance policies can now be applied to enforce security standards across AWS resources.

Enforcing IAM Policies with Terraform

Identity and Access Management (IAM) controls who can access cloud resources and what actions they can perform. Overly permissive IAM policies increase security risks, making it crucial to follow the principle of least privilege. Terraform allows IAM policies to be defined as code, ensuring uniform enforcement across environments. To restrict access to an S3 bucket, a policy can be defined that allows only read-only permissions. This prevents unauthorized modifications while ensuring data accessibility.
resource "aws_iam_policy" "s3_read_only" { name    = "S3ReadOnlyAccess" description = "Provides read-only access to S3"policy = jsonencode({ Version = "2012-10-17", Statement = [ { Effect   = "Allow", Action   = ["s3:GetObject"], Resource = "arn:aws:s3:::prod-data-cyc/*" } ] }) }
  Applying this policy ensures that users can retrieve objects from the bucket but cannot modify or delete them. The policy is enforced by running terraform apply command. Verification can be done by listing IAM policies to check if the new policy exists:
aws iam list-policies --query "Policies[?PolicyName=='S3ReadOnlyAccess']"
A properly applied policy returns output similar to: applied policy

Securing S3 Buckets and Enforcing Encryption

Publicly accessible S3 buckets and unencrypted storage create vulnerabilities that can lead to data breaches. Terraform ensures that all S3 buckets are encrypted and block public access by default. A governance-compliant bucket configuration includes encryption enforcement and access restrictions.
resource "aws_s3_bucket" "cyc_bucket" { bucket = "org-finance-data" }resource "aws_s3_bucket_server_side_encryption_configuration" "cyc_bucket_encryption" { bucket = aws_s3_bucket.cyc_bucket.id rule { apply_server_side_encryption_by_default { sse_algorithm = "AES256" } } } resource "aws_s3_bucket_public_access_block" "bucket_block" { bucket              = aws_s3_bucket.cyc_bucket.id block_public_acls   = true block_public_policy = true restrict_public_buckets = true }
After running the terraform apply command, the security status of the bucket can be verified using the AWS CLI:
aws s3api get-public-access-block --bucket org-finance-data
A properly cycd bucket returns:

Enforcing Network Security with Terraform

Security groups play a crucial role in restricting network access. Misconfigured security groups can expose services to the public internet, making them vulnerable to unauthorized access. To enforce network security, Terraform can define strict inbound and outbound rules. For SSH access, the following configuration allows connections only from a specific trusted IP:
resource "aws_security_group" "restricted_sg" { name    = "restricted_ssh" description = "Allows SSH access only from trusted IP" vpc_id  = aws_vpc.main.idingress { from_port   = 22 to_port = 22 protocol = "tcp" cidr_blocks = ["192.168.1.100/32"] } egress { from_port   = 0 to_port = 0 protocol = "-1" cidr_blocks = ["0.0.0.0/0"] } }
Applying the configuration ensures that only the specified IP can connect via SSH. Running the following command confirms the security group’s configuration:
aws ec2 describe-security-groups --group-ids sg-0123abcd5678efgh9
Expected output: expected output

Integrating AWS Config for Governance Monitoring

AWS Config helps detect configuration drift and ensures that resources remain compliant with governance rules. Terraform can define a compliance rule to check if all S3 buckets are encrypted.
resource "aws_config_config_rule" "s3_encryption_check" { name = "s3-encryption-check" source { owner         = "AWS" source_identifier = "S3_BUCKET_SERVER_SIDE_ENCRYPTION_ENABLED" } }
Once deployed, AWS Config will monitor encryption settings in real time. Compliance status can be checked using:
aws configservice describe-compliance-by-config-rule --config-rule-name s3-encryption-check
If all buckets comply, the response will show: all buckets comply By implementing these governance policies with Terraform, security and compliance enforcement become an automated, integral part of cloud infrastructure. IAM restrictions, S3 encryption, and network security controls make sure that AWS environments remain protected. With AWS Config monitoring configuration drift, governance becomes a continuous process rather than a reactive measure. This approach ensures that misconfigurations are prevented before they become security risks, maintaining a cyc cloud environment at all times.

Best Practices for Continuous Cloud Governance

Implementing governance policies with Terraform ensures a cyc cloud environment, but following best practices strengthens compliance, reduces misconfigurations, and prevents security drift.

Version-Control Governance Policies

Storing Terraform configurations in Git allows teams to track changes, enforce approvals, and maintain an audit trail. Using branching strategies, such as GitFlow, prevents unauthorized modifications to governance rules.

Secure Terraform State Files

Terraform state files contain sensitive information, including IAM roles, database credentials, and networking details. Enabling encryption for state files and using remote storage solutions like AWS S3 with state locking in DynamoDB makes sure that state files are not tampered with or accessed unintentionally.

Conduct Regular Compliance Audits

Infrastructure changes, whether intentional or accidental, can introduce misconfigurations. Automating compliance checks using AWS Config and Terraform plan ensures that deviations from governance baselines are identified and corrected early.

Integrate Terraform into CI/CD Pipelines

Running terraform validate and terraform plan as part of the pipeline ensures that changes adhere to security policies before reaching production. Combining Terraform with policy-as-code tools like Open Policy Agent (OPA) further strengthens governance by enforcing predefined rules within pipelines. Making sure that every infrastructure change adheres to governance policies is often difficult. Many security teams rely on manual checks, pre-deployment security reviews, and post-deployment audits to enforce compliance. While these methods can identify misconfigurations, they introduce delays and inconsistencies. A common challenge in governance enforcement is the lack of real-time validation. Organizations often detect non-compliant configurations only after resources are already deployed, leading to costly rollbacks and security risks. Without a centralized mechanism to enforce security, IAM, and networking policies before deployment, teams struggle with operational inefficiencies and increased exposure to misconfigurations. One approach to address this challenge is to integrate compliance checks into Terraform workflows. Security teams write custom validation scripts that run during the Terraform execution process, scanning configurations for policy violations. While this method improves governance, it introduces complexity. These scripts must be maintained, updated as security policies evolve, and integrated into CI/CD pipelines. Additionally, enforcement varies across teams, as different engineers may interpret policies differently.

Enforcing Cloud Governance with Cycloid Infra Policies

Cycloid’s Infra Policies simplify governance enforcement by providing a centralized, automated approach to policy validation. Rather than relying on custom scripts, like running OPA commands repeatedly or waiting for team members to review your configurations, Cycloid allows DevOps teams to define governance rules as code. These policies are then automatically enforced during the Terraform plan execution, preventing misconfigurations before they make it to production. The first step in implementing governance policies with Cycloid is to create an Infra Policy in the Cycloid console. Navigate to Security -> InfraPolicies, where teams can define policy rules to enforce compliance standards.   cycloid setting   These policies are written in Rego, and in the image below, you can see an example of a Rego policy that stops deployment if the resource cost exceeds the defined limit. With this policy in place, Cycloid will block the deployment right at the Terraform plan stage. cost threshold For more examples of how to write InfraPolicies in Rego in Cycloid’s Infrapolicy, refer to the documentation. Once the policy is created, Cycloid validates infrastructure changes. However, before this happens, you need to go to the project and environment sections in Cycloid and then fill out the resource details, such as the bucket name and region if you’re creating a new S3 bucket. This step makes sure that Cycloid can evaluate your infrastructure configurations properly. aws cloud provider In order to use InfraPolicy within the pipeline, you'll need to configure the cycloid-resource resource within your pipeline as follows:  
- name: cycloid-resource type: registry-image source: repository: cycloid/cycloid-resource tag: latest
  After this, you need to configure the InfraPolicy resource:  
- name: infrapolicy type: cycloid-resource source: feature: infrapolicy api_key: ((cycloid_api_key)) api_url: ((cycloid_api_url)) env: ((env)) org: ((customer)) project: ((project))
  This configuration will link the InfraPolicy to your pipeline and enable policy enforcement during Terraform deployment. The important step comes when you use the put step, which makes sure that the policy is checked before the deployment proceeds:  
- put: infrapolicy params: tfplan_path: tfstate/plan.json
  When this is set up, if any policy violation is detected, Cycloid will block the deployment right at the Terraform plan stage, preventing non-compliant resources from being provisioned. This makes sure that any infra changes that do not meet the governance rules are stopped early within the pipeline. For more information on integrating Cycloid InfraPolicy, refer to the Cycloid Resource GitHub repository. The effectiveness of this approach becomes clear when reviewing the Terraform execution pipelines in Cycloid. During the pipeline run, you’ll immediately see if the configuration aligns with governance policies. If all rules are met, the deployment proceeds. If any rule is violated, Cycloid halts the process and provides detailed feedback on what went wrong. terraform plan config This proactive policy enforcement reduces the risk of misconfigurations slipping through and removes the need for manual post-deployment audits. With Cycloid, governance is built into the deployment process, making it seamless and reliable. Cycloid Infra Policies ensure that governance enforcement isn’t an afterthought but an integral part of the infrastructure lifecycle. By defining policies centrally and enforcing them automatically, organizations can scale security best practices across teams without increasing operational overhead. This structured approach helps improve compliance, reduces errors, and allows DevOps teams to focus on delivering stable, secure infrastructure. Cycloid doesn’t stop at just InfraPolicy for governance. With its comprehensive cloud governance solutions, Cycloid enables you to manage everything from security and cost control to compliance at a large scale. For more information, check out Cycloid's Cloud Governance solutions.

Conclusion

Now, you should have a clear understanding of how Terraform automates governance, enforces compliance, and prevents misconfigurations. Integrating policy checks early ensures cyc, auditable, and compliant cloud environments.

Frequently Asked Questions

1. Which AWS Cloud Service Enables Governance Compliance, Operational Auditing, and Risk Auditing of Your AWS Account?

AWS CloudTrail is the primary service that enables governance, compliance, operational auditing, and risk auditing of AWS accounts. It continuously records AWS API calls, providing visibility into user activity across AWS services. CloudTrail logs include details such as the identity of the caller, the time of the API call, the source IP address, and the request parameters. These logs help monitor changes, detect unusual activities, and ensure compliance with internal security policies and external regulations like GDPR, HIPAA, and SOC 2.

2. Which AWS Service Continuously Audits AWS Resources and Enables Them to Assess Overall Compliance?

AWS Config is a managed service that continuously audits and assesses the configuration of AWS resources to ensure they comply with security best practices and governance policies. It tracks configuration changes in resources such as EC2 instances, security groups, IAM roles, and S3 buckets, maintaining a historical record of configurations.

Organizations use AWS Config to:

  • Assess compliance with industry standards such as PCI-DSS, NIST, ISO 27001, and CIS benchmarks.
  • Detect misconfigurations and remediate them using AWS Config Rules and AWS Systems Manager.
  • Monitor resource relationships and dependencies for better visibility into infrastructure changes.

3. Which AWS Service Supports Governance, Compliance, and Risk Auditing of AWS Accounts?

AWS Audit Manager is a fully managed service that simplifies compliance assessments and risk auditing by automating the collection of evidence across AWS resources.

The key capabilities of AWS Audit Manager include:

  • Automated compliance reporting for frameworks such as SOC 2, ISO 27001, PCI-DSS, GDPR, and HIPAA.
  • Continuous evidence collection to track user activity, resource changes, and security configurations.
  • Customizable assessment frameworks to align with internal governance policies.

Organizations use Audit Manager to simplify compliance processes, reduce manual effort in audits, and ensure that security controls are continuously monitored and assessed.

4. What Are Governance, Risk, and Compliance in Cloud Computing?

Governance, Risk, and Compliance (GRC) in cloud computing refers to a structured framework that helps organizations:

  • Governance: Define policies and enforce best practices to ensure secure and efficient use of cloud resources. This includes identity and access management, cost control, and operational policies.
  • Risk Management: Identify, assess, and mitigate security risks, misconfigurations, and potential breaches by implementing proactive security controls.
  • Compliance: Ensure that cloud infrastructure adheres to regulatory requirements such as GDPR, HIPAA, SOC 2, and ISO 27001, and that cloud workloads meet industry standards.

AWS provides several GRC tools, including AWS Organizations, AWS Control Tower, AWS Security Hub, AWS CloudTrail, and AWS Audit Manager, to help enterprises implement a robust GRC strategy.

5. What is the Cloud Governance Structure in Cloud Service Management?

Cloud governance structure refers to the policies, roles, responsibilities, and best practices that define how cloud environments are managed and secured. It ensures that an organization maintains control over cloud resources while staying compliant with industry regulations.

A strong cloud governance structure includes:

  • Identity and Access Management (IAM): Defining roles, permissions, and least-privilege access policies.
  • Security Policies and Compliance Frameworks: Enforcing standards like CIS, NIST, PCI-DSS, and automated compliance monitoring.
  • Resource Management and Cost Control: Implementing budget controls, cost allocation tags, and reserved capacity planning.
  • Continuous Monitoring and Auditing: Using services like AWS Security Hub, AWS Config, CloudTrail, and GuardDuty to detect anomalies and maintain security posture.
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