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


Orchestrate your teams
Platforms should be easy.
Help your end-users interact with infrastructure and automation without the need to become an expert. In Cycloid’s user-friendly self-service portal, your platform team sets the service catalog, roles, and permissions, while your end-users enjoy uncomplicated access to building and deploying new projects.


Manage your projects and infra
Centralization is key to infra optimization.
Modernize your infrastructure with Infra Import by generating infra as code on the fly, get a central place of projects management, asset inventory, events, KPIs, docs, infrastructure diagram, secret & policies to manage runaway resources across all your projects.


Control your costs and cloud
Making better, green choices isn’t a cost, it’s a benefit – for your balance sheet and the planet.
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. Don’t waste what you can use wisely and keep full control of all your instances, instantly.
IT can be good for your business. And our collective future.


Three reasons why you need Cycloid

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

Pierre-Emmanuel Klotz
“Cycloid acts as a cornerstone with these tools, bringing something that we didn’t know before, something that we hadn’t already mastered before.”

Pierre-Emmanuel Klotz
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
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:- Identify Assets: Discover all existing cloud resources across multiple providers.
- Record Asset Details: Capture essential details such as resource type, location, ownership, and billing information.
- Track Asset Lifecycle: Monitor assets from provisioning through active usage to eventual retirement or deletion.
- Monitor Usage & Status: Regularly track resource utilization to avoid unnecessary costs or downtime.
- Perform Regular Audits: Periodically verify resources, ensuring accurate inventory and compliance.
- Update Records: Adjust inventory records based on audit results or infrastructure changes.
- Generate Reports & Insights: Provide actionable data on resource allocation, cost, and compliance.
- Optimize Inventory: Continuously refine resource allocation and lifecycle management for improved efficiency.
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.
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.
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] } |
aws configservice describe-configuration-recorders |
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" } |
aws resource-explorer-2 list-views |
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 } |
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"] } }) } |
aws lambda list-functions | grep "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" } |
aws organizations describe-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 |
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 |
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.- 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.
- 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.
- 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.
- Centralized inventory: Projects and environments automatically maintain accurate resource tracking.
- Lifecycle management: Consistently track, audit, and manage infrastructure inventory across multiple clouds.
- 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.
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....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.
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.
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/*" |
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 |
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"] |
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 |
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" } } |
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 } |
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 |
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/*" } ] }) } |
aws iam list-policies --query "Policies[?PolicyName=='S3ReadOnlyAccess']" |
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 } |
aws s3api get-public-access-block --bucket org-finance-data |
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"] } } |
aws ec2 describe-security-groups --group-ids sg-0123abcd5678efgh9 |
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" } } |
aws configservice describe-compliance-by-config-rule --config-rule-name s3-encryption-check |
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.- name: cycloid-resource type: registry-image source: repository: cycloid/cycloid-resource tag: latest |
- name: infrapolicy type: cycloid-resource source: feature: infrapolicy api_key: ((cycloid_api_key)) api_url: ((cycloid_api_url)) env: ((env)) org: ((customer)) project: ((project)) |
- put: infrapolicy params: tfplan_path: tfstate/plan.json |
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.