AWS Security Blog

Making sense of secrets management on Amazon EKS for regulated institutions

Amazon Web Services (AWS) customers operating in a regulated industry, such as the financial services industry (FSI) or healthcare, are required to meet their regulatory and compliance obligations, such as the Payment Card Industry Data Security Standard (PCI DSS) or Health Insurance Portability and Accountability Act (HIPPA).

AWS offers regulated customers tools, guidance and third-party audit reports to help meet compliance requirements. Regulated industry customers often require a service-by-service approval process when adopting cloud services to make sure that each adopted service aligns with their regulatory obligations and risk tolerance. How financial institutions can approve AWS services for highly confidential data walks through the key considerations that customers should focus on to help streamline the approval of cloud services. In this post we cover how regulated customers, especially FSI customers, can approach secrets management on Amazon Elastic Kubernetes Service (Amazon EKS) to help meet data protection and operational security requirements. Amazon EKS gives you the flexibility to start, run, and scale Kubernetes applications in the AWS Cloud or on-premises.

Applications often require sensitive information such as passwords, API keys, and tokens to connect to external services or systems. Kubernetes has secrets objects for managing these types of sensitive information. Additional tools and approaches have evolved to supplement the Kubernetes Secrets to help meet the compliance requirements of regulated organizations. One of the driving forces behind the evolution of these tools for regulated customers is that the native Kubernetes Secrets values aren’t encrypted but encoded as base64 strings; meaning that their values can be decoded by a threat actor with either API access or authorization to create a pod in a namespace containing the secret. There are options such as GoDaddy Kubernetes External Secrets, AWS Secrets and Configuration Provider (ASCP) for the Kubernetes Secrets Store CSI Driver, Hashicorp Vault, and Bitnami Sealed secrets that you can use to can help to improve the security, management, and audibility of your secrets usage.

In this post, we cover some of the key decisions involved in choosing between External Secrets Operator (ESO), Sealed Secrets, and ASCP for the Kubernetes Secrets Store Container Storage Interface (CSI) Driver, specifically for FSI customers with regulatory demands. These decision points are also broadly applicable to customers operating in other regulated industries.

AWS Shared Responsibility Model

Security and compliance is a shared responsibility between AWS and the customer. The AWS Shared Responsibility Model describes this as security of the cloud and security in the cloud:

  • AWS responsibility – Security of the cloud: AWS is responsible for protecting the infrastructure that runs the services offered in the AWS Cloud. For Amazon EKS, AWS is responsible for the Kubernetes control plane, which includes the control plane nodes and etcd database. Amazon EKS is certified by multiple compliance programs for regulated and sensitive applications. The effectiveness of the security controls are regularly tested and verified by third-party auditors as part of the AWS compliance programs.
  • Customer responsibility – Security in the cloud: Customers are responsible for the security and compliance of customer configured systems and services deployed on AWS. This includes responsibility for securely deploying, configuring and managing ESO within their Amazon EKS cluster. For Amazon EKS, the customer responsibility depends upon the worker nodes you pick to run your workloads and cluster configuration as shown in Figure 1. In the case of Amazon EKS deployment using Amazon Elastic Compute Cloud (Amazon EC2) hosts, the customer responsibility includes the following areas:
    • The security configuration of the data plane, including the configuration of the security groups that allow traffic to pass from the Amazon EKS control plane into the customer virtual private cloud (VPC).
    • The configuration of the nodes and the containers themselves.
    • The nodes’ operating system, including updates and security patches.
    • Other associated application software:
    • The sensitivity of your data, such as personally identifiable information (PII), keys, passwords, and tokens
      • Customers are responsible for enforcing access controls to protect their data and secrets.
      • Customers are responsible for monitoring and logging activities related to secrets management including auditing access, detecting anomalies and responding to security incidents.
    • Your company’s requirements, applicable laws and regulations
    • When using AWS Fargate, the operational overhead for customers is reduced in the following areas:
      • The customer is not responsible for updating or patching the host system.
      • Fargate manages the placement and scaling of containers.
Figure 1: AWS Shared Responsibility Model with Fargate and Amazon EC2 based workflows

Figure 1: AWS Shared Responsibility Model with Fargate and Amazon EC2 based workflows

As an example of the Shared Responsibility Model in action, consider a typical FSI workload accepting or processing payments cards and subject to PCI DSS requirements. PCI DSS v4.0 requirement 3 focuses on guidelines to secure cardholder data while at rest and in transit:

Control ID Control description
3.6 Cryptographic keys used to protect stored account data are secured.
3.6.1.2 Store secret and private keys used to encrypt and decrypt cardholder data in one (or more) of the following forms:

  • Encrypted with a key-encrypting key that is at least as strong as the data-encrypting key, and that is stored separately from the data-encrypting key.
  • Stored within a secure cryptographic device (SCD), such as a hardware security module (HSM) or PTS-approved point-of-interaction device.
  • Has at least two full-length key components or key shares, in accordance with an industry-accepted method. Note: It is not required that public keys be stored in one of these forms.
3.6.1.3 Access to cleartext cryptographic key components is restricted to the fewest number of custodians necessary.

NIST frameworks and controls are also broadly adopted by FSI customers. NIST Cyber Security Framework (NIST CSF) and NIST SP 800-53 (Security and Privacy Controls for Information Systems and Organizations) include the following controls that apply to secrets:

Regulation or framework Control ID Control description
NIST CSF PR.AC-1 Identities and credentials are issued, managed, verified, revoked, and audited for authorized devices, users and processes.
NIST CSF PR.DS-1 Data-at-rest is protected.
NIST 800-53.r5 AC-2(1)
AC-3(15)
Secrets should have automatic rotation enabled.
Delete unused secrets.

Based on the preceding objectives, the management of secrets can be categorized into two broad areas:

  • Identity and access management ensures separation of duties and least privileged access.
  • Strong encryption, using a dedicated cryptographic device, introduces a secure boundary between the secrets data and keys, while maintaining appropriate management over the cryptographic keys.

Choosing your secrets management provider

To help choose a secrets management provider and apply compensating controls effectively, in this section we evaluate three different options based on the key objectives derived from the PCI DSS and NIST controls described above and other considerations such as operational overhead, high availability, resiliency, and developer or operator experience.

Architecture and workflow

The following architecture and component descriptions highlight the different architectural approaches and responsibilities of each solution’s components, ranging from controllers and operators, command-line interface (CLI) tools, custom resources, and CSI drivers working together to facilitate secure secrets management within Kubernetes environments.

External Secrets Operator (ESO) extends the Kubernetes API using a custom resource definition (CRD) for secret retrieval. ESO enables integration with external secrets management systems such as AWS Secrets Manager, HashiCorp Vault, Google Secrets Manager, Azure Key Vault, IBM Cloud Secrets Manager, and various other systems. ESO watches for changes to an external secret store and keeps Kubernetes secrets in sync. These services offer features that aren’t available with native Kubernetes Secrets, such as fine-grained access controls, strong encryption, and automatic rotation of secrets. By using these purpose-built tools outside of a Kubernetes cluster, you can better manage risk and benefit from central management of secrets across multiple Amazon EKS clusters. For more information, see the detailed walkthrough of using ESO to synchronize secrets from Secrets Manager to your Amazon EKS Fargate cluster.

ESO is comprised of a cluster-side controller that automatically reconciles the state within the Kubernetes cluster and updates the related secrets anytime the external API’s secret undergoes a change.

Figure 2: ESO workflow

Figure 2: ESO workflow

Sealed Secrets is an open source project by Bitnami comprised of a Kubernetes controller coupled with a client-side CLI tool with the objective to store secrets in Git in a secure fashion. Sealed Secrets encrypts your Kubernetes secret into a SealedSecret, which can also be deployed to a Kubernetes cluster using kubectl. For more information, see the detailed walkthough of using tools from the Sealed Secrets open source project to manage secrets in your Amazon EKS clusters.

Sealed Secrets comprises of three main components: First, there is an operator or a controller which is deployed onto a Kubernetes cluster. The controller is responsible for decrypting your secrets. Second, you have a CLI tool called Kubeseal that takes your secret and encrypts it. Third, you have a CRD. Instead of creating regular secrets, you create SealedSecrets, which is a CRD defined within Kubernetes. That is how the operator knows when to perform the decryption process within your Kubernetes cluster.

Upon startup, the controller looks for a cluster-wide private-public key pair and generates a new 4096-bit RSA public-private key pair if one doesn’t exist. The private key is persisted in a secret object in the same namespace as the controller. The public key portion of this is made publicly available to anyone wanting to use Sealed Secrets with this cluster.

Figure 3: Sealed Secrets workflow

Figure 3: Sealed Secrets workflow

The AWS Secrets Manager and Config Provider (ASCP) for Secret Store CSI driver is an open source tool from AWS that allows secrets from Secrets Manager and Parameter Store, a capability of AWS Systems Manager, to be mounted as files inside Amazon EKS pods. It uses a CRD called SecretProviderClass to specify which secrets or parameters to mount. Upon a pod start or restart, the CSI driver retrieves the secrets or parameters from AWS and writes them to a tmpfs volume mounted in the pod. The volume is automatically cleaned up when the pod is deleted, making sure that secrets aren’t persisted. For more information, see the detailed walkthrough on how to set up and configure the ASCP to work with Amazon EKS.

ASCP comprises of a cluster-side controller acting as the provider, allowing secrets from Secrets Manager, and parameters from Parameter Store to appear as files mounted in Kubernetes pods. Secrets Store CSI Driver is a DaemonSet with three containers: node-driver-registrar, which registers the CSI driver with Kubelet; secrets-store, which implements the CSI Node service gRPC services for mounting and unmounting volumes during pod creation and deletion; and  liveness-probe, which monitors the health of the CSI driver and reports to Kubernetes for automatic issue detection and pod restart.

Figure 4: AWS Secrets Manager and configuration provider

Figure 4: AWS Secrets Manager and configuration provider

In the next section, we cover some of the key decisions involved in choosing whether to use ESO, Sealed Secrets, or ASCP for regulated customers to help meet their regulatory and compliance needs.

Comparing ESO, Sealed Secrets, and ASCP objectives

All three solutions address different aspects of secure secrets management and aim to help FSI customers meet their regulatory compliance requirements while upholding the protection of sensitive data in Kubernetes environments.

ESO synchronizes secrets from external APIs into Kubernetes, targeting the cluster operator and application developer personas. The cluster operator is responsible for setting up ESO and managing access policies. The application developer is responsible for defining external secrets and the application configuration.

Sealed Secrets encrypts your Kubernetes secrets before storing them in version control systems such as public Git repositories. This is the case if you decide to check in your Kubernetes manifest to a Git repository granting access to your sensitive secrets to anyone who has access to the Git repository. This is ultimately the reason why Sealed Secrets was created and the sealed secret can be decrypted only by the controller running in the target cluster.

Using ASCP, you can securely store and manage your secrets in Secrets Manager and retrieve them through your applications running on Kubernetes without having to write custom code. Secrets Manager provides features such as rotation, auditing, and access control that can help FSI customers meet regulatory compliance requirements and maintain a robust security posture.

Installation

The deployment and configuration details that follow highlight the different approaches and resources used by each solution to integrate with Kubernetes and external secret stores, catering to the specific requirements of secure secrets management in containerized environments.

ESO provides Helm charts for ease of operator deployment. External Secrets provides custom resources like SecretStore and ExternalSecret for configuring the required operator functionality to synchronize external secrets to your cluster. For instance, SecretStore can be used by the cluster operator to be able to connect to AWS Secrets Manager using appropriate credentials to pull in the secrets.

To install Sealed Secrets, you can deploy the Sealed Secrets Controller onto the Kubernetes cluster. You can deploy the manifest by itself or you can use a Helm chart to deploy the Sealed Secrets Controller for you. After the controller is installed, you use the Kubeseal client-side utility to encrypt secrets using asymmetric cryptography. If you don’t already have the Kubeseal CLI installed, see the installation instructions.

ASCP provides Helm charts to assist in operator deployment. The ASCP operator provides custom resources such as SecretProviderClass to provide provider-specific parameters to the CSI driver. During pod start and restart, the CSI driver will communicate with the provider using gRPC to retrieve the secret content from the external secret store you specified in the SecretProviderClass custom resource. Then the volume is mounted in the pod as tmpfs and the secret contents are written to the volume.

Encryption and key management

These solutions use robust encryption mechanisms and key management practices provided by external secret stores and AWS services such as AWS Key Management Service (AWS KMS) and Secrets Manager. However, additional considerations and configurations might be required to meet specific regulatory requirements, such as PCI DSS compliance for handling sensitive data.

ESO relies on encryption features within the external secrets management system. For instance, Secrets Manager supports envelope encryption with AWS KMS which is FIPS 140-2 Level 3 certified. Secrets Manager has several compliance certifications making it a great fit for regulated workloads. FIPS 140-2 Level 3 ensures only strong encryption algorithms approved by NIST can be used to protect data. It also defines security requirements for the cryptographic module, creating logical and physical boundaries.

Both AWS KMS and Secrets Manager help you to manage key lifecycle and to integrate with other AWS Services. In terms of key rotation, both provide automatic rotation of secrets that runs on a schedule (which you define), and abstract the complexity of managing different versions of keys. For AWS managed keys, the key rotation happens automatically once every year by default. With customer managed keys (CMKs), automatic key rotation is available but not enabled by default.

When using SealedSecrets, you use the Kubeseal tool to convert a standard Kubernetes Secret into a Sealed Secrets resource. The contents of the Sealed Secrets are encrypted with the public key served by the Sealed Secrets Controller as described in the Sealed Secrets project homepage.

In the absence of cloud native secrets management integration, you might have to add compensating controls to achieve the regulatory standards required by your organization. In cases where the underlying SealedSecrets data is sensitive in nature, such as cardholder PII, PCI requires that you store sensitive secrets in a cryptographic device such as a hardware security module (HSM). You can use Secrets Manager to store the master key generated to seal the secrets. However, this you will have to enable additional integration with Amazon EKS APIs to fetch the master key securely from the EKS cluster. You will also have to modify your deployment process to use a master key from Secrets Manager. The applications running in the EKS cluster must have permissions to fetch the SealedSecret and master key from Secrets Manager. This might involve configuring the application to interact with Amazon EKS APIs and Secrets Manager. For non-sensitive data, Kubeseal can be used directly within the EKS cluster to manage secrets and sealing keys.

For key rotation, you can store the controller generated private key in Parameter Store as a SecureString. You can use the advanced tier in Parameter Store if the file containing the private keys exceeds the Standard tier limit of up to 4,096 characters. In addition, if you want to add key rotation, you can use AWS KMS.

The ASCP relies on encryption features within the chosen secret store, such as Secrets Manager. Secrets Manager supports integration with AWS KMS for an additional layer of security by storing encryption keys separately. The Secrets Store CSI Driver facilitates secure interaction with the secret store, but doesn’t directly encrypt secrets. Encrypting mounted content can provide further protection, but introduces operational overhead related to key management.

ASCP relies on Secrets Manager and AWS KMS for encryption and decryption capabilities. As a recommendation, you can encrypt mounted content to further protect the secrets. However, this introduces the additional operational overhead of managing encryption keys and addressing key rotation.

Additional considerations

These solutions address various aspects of secure secrets management, ranging from centralized management, compliance, high availability, performance, developer experience, and integration with existing investments, catering to the specific needs of FSI customers in their Kubernetes environments.

ESO can be particularly useful when you need to manage an identical set of secrets across multiple Kubernetes clusters. Instead of configuring, managing, and rotating secrets at each cluster level individually, you can synchronize your secrets across your clusters. This simplifies secrets management by providing a single interface to manage secrets across multiple clusters and environments.

External secrets management systems typically offer advanced security features such as encryption at rest, access controls, audit logs, and integration with identity providers. This helps FSI customers ensure that sensitive information is stored and managed securely in accordance with regulatory requirements.

FSI customers usually have existing investments in their on-premises or cloud infrastructure, including secrets management solutions. ESO integrates seamlessly with existing secrets management systems and infrastructure, allowing FSI customers to use their investment in these systems without requiring significant changes to their workflow or tooling. This makes it easier for FSI customers to adopt and integrate ESO into their existing Kubernetes environments.

ESO provides capabilities for enforcing policies and governance controls around secrets management such as access control, rotation policies, and audit logging when using services like Secrets Manager. For FSI customers, audits and compliance are critical and ESO verifies that access to secrets is tracked and audit trails are maintained, thereby simplifying the process of demonstrating adherence to regulatory standards. For instance, secrets stored inside Secrets Manager can be audited for compliance with AWS Config and AWS Audit Manager. Additionally, ESO uses role-based access control (RBAC) to help prevent unauthorized access to Kubernetes secrets as documented in the ESO security best practices guide.

High availability and resilience are critical considerations for mission critical FSI applications such as online banking, payment processing, and trading services. By using external secrets management systems designed for high availability and disaster recovery, ESO helps FSI customers ensure secrets are available and accessible in the event of infrastructure failure or outages, thereby minimizing service disruption and downtime.

FSI workloads often experience spikes in transaction volumes, especially during peak days or hours. ESO is designed to efficiently managed a large volume of secrets by using external secrets management that’s optimized for performance and scalability.

In terms of monitoring, ESO provides Prometheus metrics to enable fine-grained monitoring of access to secrets. Amazon EKS pods offer diverse methods to grant access to secrets present on external secrets management solutions. For example, in non-production environments, access can be granted through IAM instance profiles assigned to the Amazon EKS worker nodes. For production, using IAM roles for service accounts (IRSA) is recommended. Furthermore, you can achieve namespace level fine-grained access control by using annotations.

ESO also provides options to configure operators to use a VPC endpoint to comply with FIPS requirements.

Additional developer productivity benefits provided by ESO include support for JSON objects (Secret key/value in the AWS Management console) or strings (Plaintext in the console). With JSON objects, developers can programmatically update multiple values atomically when rotating a client certificate and private key.

The benefit of Sealed Secrets, as discussed previously, is when you upload your manifest to a Git repository. The manifest will contain the encrypted SealedSecrets and not the regular secrets. This assures that no one has access to your sensitive secrets even when they have access to your Git repository. Sealed Secrets offer a few benefits to developers in terms of developer experience. Sealed Secrets gives you access to manage your secrets, making them more readily available to developers. Sealed Secrets offers VSCode extension to assist in integrating it into the software development lifecycle (SDLC). Using Sealed Secrets, you can store the encrypted secrets in the version control systems such as Gitlab and GitHub. Sealed Secrets can reduce operational overhead related to updating dependent objects because whenever a secret resource is updated, the same update is applied to the dependent objects.

ASCP integration with the Kubernetes Secrets Store CSI Driver on Amazon EKS offers enhanced security through seamless integration with Secrets Manager and Parameter Store, ensuring encryption, access control, and auditing. It centralizes management of sensitive data, simplifying operations and reducing the risk of exposure. The dynamic secrets injection capability facilitates secure retrieval and injection of secrets into Kubernetes pods, while automatic rotation provides up-to-date credentials without manual intervention. This combined solution streamlines deployment and management, providing a secure, scalable, and efficient approach to handling secrets and configuration settings in Kubernetes applications.

Consolidated threat model

We created a threat model based on the architecture of the three solution offerings. The threat model provides a comprehensive view of the potential threats and corresponding mitigations for each solution, allowing organizations to proactively address security risks and ensure the secure management of secrets in their Kubernetes environments.

X = Mitigations applicable to the solution

Threat Mitigations ESO Sealed Secrets ASCP
Unauthorized access or modification of secrets
  • Implement least privilege access principles
  • Rotate and manage credentials securely
  • Enable RBAC and auditing in Kubernetes
X X X
Insider threat (for example, a rogue administrator who has legitimate access)
  • Implement least privilege access principles
  • Enable auditing and monitoring
  • Enforce separation of duties and job rotation
X X
Compromise of the deployment process
  • Secure and harden the deployment pipeline
  • Implement secure coding practices
  • Enable auditing and monitoring
X
Unauthorized access or tampering of secrets during transit
  • Enable encryption in transit using TLS
  • Implement mutual TLS authentication between components
  • Use private networking or VPN for secure communication
X X X
Compromise of the Kubernetes API server because of vulnerabilities or misconfiguration
  • Secure and harden the Kubernetes API server
  • Enable authentication and authorization mechanisms (for example, mutual TLS and RBAC)
  • Keep Kubernetes components up-to-date and patched
  • Enable Kubernetes audit logging and monitoring
X
Vulnerability in the external secrets controller leading to privilege escalation or data exposure
  • Keep the external secrets controller up-to-date and patched
  • Regularly monitor for and apply security updates
  • Implement least privilege access principles
  • Enable auditing and monitoring
X
Compromise of the Secrets Store CSI Driver, node-driver-registrar, Secrets Store CSI Provider, kubelet, or Pod could lead to unauthorized access or exposure of secrets
  • Implement least privilege principles and role-based access controls
  • Regularly patch and update the components
  • Monitor and audit the component activities
X
Unauthorized access or data breach in Secrets Manager could expose sensitive secrets
  • Implement strong access controls and access logging for Secrets Manager
  • Encrypt secrets at rest and in transit
  • Regularly rotate and update secrets
X X

Shortcomings and limitations

The following limitations and drawbacks highlight the importance of carefully evaluating the specific requirements and constraints of your organization before adopting any of these solutions. You should consider factors such as team expertise, deployment environments, integration needs, and compliance requirements to promote a secure and efficient secrets management solution that aligns with your organization’s needs.

ESO doesn’t include a default way to restrict network traffic to and from ESO using network policies or similar network or firewall mechanisms. The application team is responsible for properly configuring network policies to improve the overall security posture of ESO within your Kubernetes cluster.

Any time an external secret associated with ESO is rotated, you must restart the deployment that uses that particular external secret. Given the inherent risks associated with integrating an external entity or third-party solution into your system, including ESO, it’s crucial to implement a comprehensive threat model similar to the Kubernetes Admission Control Threat Model.

Also, ESO set up is complicated and the controller must be installed on the Kubernetes cluster.

SealedSecrets cannot be reused across namespaces unless they’re re-encrypted or made cluster-wide, which makes it challenging to manage secrets across multiple namespaces consistently. The need to manually rotate and re-encrypt SealedSecrets with new keys can introduce operational overhead, especially in large-scale environments with numerous secrets. The old sealing keys pose a potential risk of misuse by unauthorized users, which increases the risk. To mitigate both risks (high overhead and old secrets), you should implement additional controls such as deleting older keys as part of the key rotation process or periodically rotate sealing keys and make sure that old sealed secret resources are re-encrypted with the new keys. Sealed Secrets doesn’t support external secret stores such as HashiCorp Vault, or cloud provider services such as Secrets Manager, Parameter Store, or Azure Key Vault. Sealed Secrets requires a Kubeseal client-side binary to encrypt secrets. This can be a concern in FSI environments where client-side tools are restricted by security policies.

While ASCP provides seamless integration with Secrets Manager and Parameter Store, teams unfamiliar with these AWS services might need to invest some additional effort to fully realize the benefits. This additional effort is justified by the long-term benefits of centralized secrets management and access control provided by these services. Additionally, relying primarily on AWS services for secrets management can potentially limit flexibility in deploying to alternative cloud providers or on-premises environments in the future. These factors should be carefully evaluated based on the specific needs and constraints of the application and deployment environment.

Conclusion

We have provided a summary of three options for managing secrets in Amazon EKS, ESO, Sealed Secrets, and AWS Secrets and Configuration Provider (ASCP), and the key considerations for FSI customers when choosing between them. The choice depends on several factors including existing investments in secrets management systems, specific security needs and compliance requirements, preference for a Kubernetes native solution or willingness to accept vendor lock-in.

The guidance provided here covers the strengths, limitations, and trade-offs of each option, allowing regulated institutions to make an informed decision based on their unique requirements and constraints. This guidance can be adapted and tailored to fit the specific needs of an organization, providing a secure and efficient secrets management solution for their Amazon EKS workloads, while aligning with the stringent security and compliance standards of the regulated institutions.

 
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Piyush Mattoo

Piyush Mattoo
Piyush is a Senior Solution Architect for Financial Services Data Provider segment at Amazon Web Services. He is a software technology leader with over a decade long experience building scalable and distributed software systems to enable business value through the use of technology. He is based out of Southern California and current interests include outdoor camping and nature walks.

Ruy Cavalcanti

Ruy Cavalcanti
Ruy is a Senior Security Architect for the Latin American Financial market at AWS. He has been working in IT and Security for over 19 years, helping customers create secure architectures in the AWS Cloud. Ruy’s interests include jamming on his guitar, firing up the grill for some Brazilian-style barbecue, and enjoying quality time with his family and friends.

Chetan Pawar

Chetan Pawar
Chetan is a Cloud Architect specializing in infrastructure within AWS Professional Services. As a member of the Containers Technical Field Community, he provides strategic guidance on enterprise Infrastructure and DevOps for clients across multiple industries. He has an 18-year track record building large-scale Infrastructure and containerized platforms. Outside of work, he is an avid traveler and motorsport enthusiast.