πŸ‘‰ Configuring AWS IAM Roles for Service Accounts in Amazon EKS

 


How to Configure AWS IAM Roles for Service Accounts in Amazon EKS

Did you know that Amazon EKS is used by over 80% of Kubernetes users for their production workloads? Despite its popularity, configuring AWS IAM roles for service accounts in EKS remains a common challenge.

This guide is tailored for DevOps professionals, engineers, and beginners who want to enhance their EKS security and management. If you're struggling with ensuring seamless IAM role management in your Kubernetes clusters, you're in the right place.

Understanding The Key Terms

AWS IAM

AWS Identity and Access Management (IAM) is a service provided by Amazon Web Services (AWS) that enables you to manage access to AWS services and resources securely. With IAM, you can create and manage AWS users and groups, and use permissions to allow and deny their access to AWS resources.

Key Components of AWS IAM:

  • Users: Individuals who have access to the AWS Management Console, AWS CLI, or AWS API. Each user has unique credentials and permissions.
  • Groups: Collections of users. You can assign permissions to a group, which makes it easier to manage permissions for multiple users.
  • Roles: Similar to users, but intended for applications, services, or AWS resources that need to perform actions on AWS resources. Roles do not have long-term credentials like passwords or access keys. Instead, they have temporary security credentials.
  • Policies: Documents that define permissions. These documents are written in JSON and specify what actions are allowed or denied.

Example:

To grant a user read-only access to all S3 buckets, you would create a policy with the necessary permissions and attach it to the user or group.

Service Accounts

Service accounts in Kubernetes provide an identity for processes that run in a pod. These identities can be used to authenticate against the Kubernetes API and to control permissions for those processes.

Key Components of Service Accounts:

  • Tokens: Service accounts automatically have a token that pods can use to authenticate with the Kubernetes API.
  • RBAC (Role-Based Access Control): Used to control access to the Kubernetes API. You can create roles and role bindings to specify what actions a service account can perform.

Example:

A service account can be created specifically for an application that needs to access a database. By assigning a role with the necessary permissions to the service account, you can ensure that only this application can access the database.

Amazon EKS

Amazon Elastic Kubernetes Service (EKS) is a managed Kubernetes service provided by AWS that allows you to run Kubernetes without needing to install and operate your own Kubernetes control plane or nodes. EKS automatically manages the availability and scalability of the Kubernetes control plane nodes responsible for scheduling containers, managing application availability, storing cluster data, and other key tasks.

Key Components of Amazon EKS:

  • Control Plane: Managed by AWS and consists of Kubernetes API servers and etcd (the Kubernetes backing store) nodes that run across multiple AWS Availability Zones.
  • Worker Nodes: EC2 instances that run your Kubernetes workloads. You are responsible for managing the lifecycle of these nodes.
  • Managed Node Groups: EKS provides the ability to create and manage worker nodes as part of an EKS cluster. These nodes run within your AWS account and are managed by AWS.
  • Cluster Endpoint: A fully managed Kubernetes API server that you interact with using kubectl.

Example:

To deploy a highly available web application, you would create an EKS cluster and deploy your application as a set of Kubernetes pods across multiple worker nodes. EKS ensures that the Kubernetes control plane is highly available and up-to-date.

AWS IAM in Action

To understand how these key terms come together, consider this scenario:

  • You have an EKS cluster running a set of microservices.
  • One of these services needs to read data from an S3 bucket.
  • Instead of embedding AWS credentials in the service, you create an IAM role with read-only access to the S3 bucket.
  • You create a service account in your Kubernetes cluster and associate it with this IAM role.

When the microservice runs, it uses the service account to assume the IAM role and access the S3 bucket securely.

Benefits of Configuring IAM roles for service accounts in Amazon EKS

Configuring AWS IAM roles for service accounts in Amazon EKS offers numerous benefits that enhance security, manageability, and efficiency of your Kubernetes workloads. Here’s a closer look at the key advantages:

Enhanced Security

  1. Isolation of Permissions:

    • By associating IAM roles with service accounts, you can isolate permissions for different workloads. Each pod or deployment in your Kubernetes cluster can have its own set of permissions, reducing the risk of one compromised pod affecting others.
    • Example: A web application pod has read access to a specific S3 bucket, while a database pod has write access to a different S3 bucket.
  2. Reduced Credential Exposure:

    • Instead of hardcoding AWS credentials within applications, you use IAM roles to provide temporary security credentials. This minimizes the risk of credential leakage and ensures that credentials are rotated automatically.
    • Example: An application dynamically assumes an IAM role to access an S3 bucket, rather than using hardcoded credentials that could be exposed in source code or logs.

Granular Permissions

  1. Fine-Grained Access Control:

    • IAM roles allow you to define fine-grained permissions for each service account, specifying exactly what actions can be performed on which resources. This follows the principle of least privilege, granting only the necessary permissions to each workload.
    • Example: An IAM policy attached to a service account role might only allow listing objects in an S3 bucket without granting delete permissions.
  2. Custom Policies:

    • You can create custom IAM policies tailored to specific application needs. This flexibility allows for highly specific permission sets that align with the exact requirements of your workloads.
    • Example: A custom policy that allows read and write access to specific DynamoDB tables needed by an analytics service.

Audit and Compliance

  1. Detailed Logging:

    • Using IAM roles with service accounts ensures that all API calls made by your applications are logged with the specific IAM role, improving traceability and auditing. AWS CloudTrail can be used to monitor these logs for security and compliance purposes.
    • Example: Auditing all access to S3 buckets to ensure that only authorized service accounts are reading or writing data.
  2. Compliance Reporting:

    • Many regulatory standards require detailed access controls and logging. IAM roles help you meet these requirements by providing a clear and auditable trail of which service accounts accessed which resources and when.
    • Example: Generating compliance reports for GDPR, HIPAA, or other regulatory requirements showing access logs tied to specific service accounts.

Simplified Management

  1. Centralized Permissions Management:

    • Managing permissions through IAM roles rather than individual IAM users simplifies the administrative overhead. You can update permissions centrally in IAM, and those changes automatically propagate to all associated service accounts.
    • Example: Updating an IAM policy to grant additional S3 permissions and having those changes immediately apply to all pods using the associated service account.
  2. Scalable Role Management:

    • As your EKS cluster scales, managing permissions through IAM roles remains straightforward. You can easily create new roles and associate them with new service accounts as needed, without reconfiguring individual applications.
    • Example: Adding a new microservice to your cluster that requires access to a new S3 bucket, and simply creating a new IAM role for its service account.

Real-World Impact

These benefits are not just theoretical; they have practical implications in real-world scenarios:

  • Security Incidents: By isolating permissions, even if one pod is compromised, the attacker cannot access resources assigned to other pods.
  • Operational Efficiency: Simplified permissions management means less time spent on administrative tasks and more focus on core development activities.
  • Regulatory Compliance: Detailed logging and fine-grained access control help meet stringent regulatory requirements, reducing the risk of non-compliance fines.

By leveraging IAM roles for service accounts in Amazon EKS, you can significantly enhance the security, manageability, and efficiency of your Kubernetes deployments, ensuring robust and scalable cloud-native applications.

Resources Required for Configuring IAM roles for service accounts in Amazon EKS

To successfully configure AWS IAM roles for service accounts in Amazon EKS, you'll need a combination of software tools, AWS services, and proper configuration. Below is a detailed list of resources required:

AWS Account

  • AWS Account with Admin Permissions:

    • Ensure you have an AWS account with administrative privileges. This account will be used to configure IAM roles, policies, and the EKS cluster.
    • Pro-tip: For production environments, use AWS Organizations and IAM best practices to manage permissions securely.

Amazon EKS Cluster

  • EKS Cluster:

    • A running Amazon EKS cluster is essential. You can create an EKS cluster using the AWS Management Console, AWS CLI, or eksctl.
    • Pro-tip: Ensure your EKS cluster is configured with multiple worker nodes across different availability zones for high availability.

Command-Line Tools

  • AWS CLI:

    • Install and configure the AWS Command Line Interface (CLI) to interact with AWS services from your terminal. This is crucial for creating and managing IAM roles and policies.
    • Installation guide: AWS CLI Documentation
  • kubectl:

    • The Kubernetes command-line tool, kubectl, is needed to interact with your EKS cluster. It allows you to manage your Kubernetes resources and perform necessary configurations.
    • Installation guide: kubectl Documentation
  • eksctl:

    • eksctl is a command-line tool that simplifies the creation and management of EKS clusters. It streamlines various tasks like associating IAM roles with OIDC providers.
    • Installation guide: eksctl Documentation

AWS IAM

  • IAM Policies and Roles:

    • You'll need to create and configure IAM roles and policies. These roles will be assumed by your Kubernetes service accounts.
    • Pro-tip: Use predefined IAM policies where applicable to save time and ensure best practices.

Kubernetes Configurations

  • Service Accounts:

    • Create Kubernetes service accounts to which IAM roles will be associated. This requires updating Kubernetes manifests and applying them using kubectl.
    • Pro-tip: Use namespaces to logically separate different workloads and their permissions.

OpenID Connect (OIDC)

  • OIDC Identity Provider:

    • Associate an OIDC identity provider with your EKS cluster. This allows your service accounts to use IAM roles without needing long-term credentials.

Pro-tip: Ensure the OIDC provider URL is correctly configured and verified.

Step-by-Step Guide for Configuring IAM roles for service accounts in Amazon EKS

Configuring AWS IAM roles for service accounts in Amazon EKS involves several critical steps. This guide will walk you through the process in a detailed, non-technical manner.

Step 1: Prepare Your AWS Environment

Before you start, ensure your AWS environment is ready. This includes having an AWS account with the necessary permissions and ensuring you have an EKS cluster running.

Pro-tip: Use AWS Organizations to manage permissions and accounts, which can simplify governance and security.

Step 2: Set Up Command-Line Tools

You need several command-line tools to interact with your AWS and Kubernetes resources:

  • AWS CLI: For managing AWS services.
  • kubectl: For interacting with your Kubernetes cluster.
  • eksctl: For simplifying EKS cluster management.

Ensure these tools are installed and configured correctly. You can find installation instructions on their respective official documentation pages.

Pro-tip: Regularly update these tools to their latest versions to benefit from new features and security updates.

Step 3: Configure OIDC Provider

Amazon EKS uses OpenID Connect (OIDC) to authenticate service accounts. You need to associate an OIDC identity provider with your EKS cluster. This step involves using a command-line tool (such as eksctl) to create the association.

Pro-tip: Verify the OIDC provider URL and ensure it's correctly configured to avoid authentication issues.

Step 4: Create an IAM Role

Next, create an IAM role that your Kubernetes service account will assume. This role should have a trust relationship that allows your EKS cluster’s OIDC provider to assume the role. Additionally, attach the necessary permissions to this role.

Pro-tip: Use the principle of least privilege when assigning permissions. Only grant the permissions that are absolutely necessary for the service account to perform its tasks.

Step 5: Annotate Kubernetes Service Account

Create a Kubernetes service account and annotate it with the ARN of the IAM role you created. This involves updating the service account configuration to include a reference to the IAM role.

Pro-tip: Use meaningful names for your service accounts to make it clear what resources they are associated with.

Step 6: Deploy Your Application

Deploy your application to the EKS cluster, ensuring it uses the annotated service account. The application will automatically assume the IAM role associated with the service account and inherit its permissions.

Pro-tip: Test the deployment in a staging environment before moving to production to ensure the service account and IAM role configurations work as expected.

Example Scenario

Imagine you have a web application running in your EKS cluster that needs to read data from an S3 bucket. Here’s how you could configure IAM roles for service accounts:

  1. Prepare AWS Environment: Ensure your AWS account and EKS cluster are set up.
  2. Set Up Tools: Install and configure AWS CLI, kubectl, and eksctl.
  3. Configure OIDC: Associate the OIDC provider with your EKS cluster using eksctl.
  4. Create IAM Role: Create an IAM role with read-only access to the S3 bucket and a trust policy that allows the OIDC provider to assume the role.
  5. Annotate Service Account: Create a Kubernetes service account and annotate it with the IAM role ARN.
  6. Deploy Application: Deploy the web application to EKS, ensuring it uses the annotated service account.

Common Mistakes to Avoid

When configuring AWS IAM roles for service accounts in Amazon EKS, certain common mistakes can lead to security vulnerabilities, operational issues, and deployment failures. Avoiding these pitfalls is crucial for maintaining a secure and efficient Kubernetes environment. Here’s a detailed look at the most common mistakes and how to avoid them:

1. Misconfiguring IAM Policies

Description: Granting overly permissive permissions or incorrect permissions to IAM roles.

Avoidance Tips:

  • Principle of Least Privilege: Always follow the principle of least privilege. Grant only the permissions that are necessary for the service account to perform its tasks.
  • Regular Audits: Regularly audit IAM policies to ensure they are not more permissive than necessary.
  • Use Managed Policies: Whenever possible, use AWS managed policies, as they are maintained by AWS and follow best practices.
  • Example: Instead of granting full S3 access (s3:*), specify only the required actions, like s3:GetObject for read-only access.

2. Incorrect OIDC Provider Setup

Description: Misconfiguring the OIDC provider URL or not correctly associating the OIDC provider with the EKS cluster.

Avoidance Tips:

  • Verify OIDC Provider URL: Double-check the OIDC provider URL to ensure it matches the one provided by AWS for your EKS cluster.
  • Use eksctl: Use the eksctl tool to associate the OIDC provider as it simplifies the process and reduces the risk of errors.
  • Check IAM Role Trust Policy: Ensure the IAM role’s trust policy correctly references the OIDC provider.

3. Wrong Service Account Annotations

Description: Incorrectly annotating Kubernetes service accounts with the IAM role ARN.

Avoidance Tips:

  • Exact ARN Matching: Ensure the IAM role ARN is exactly copied into the service account annotation.
  • Namespace Specificity: Make sure the service account exists in the correct namespace and that the namespace is correctly referenced in the trust policy.
  • Consistent Naming: Use consistent and meaningful names for service accounts to avoid confusion.

4. Skipping Testing Phases

Description: Deploying changes directly to production without adequate testing.

Avoidance Tips:

  • Staging Environment: Always test new configurations in a staging or test environment before deploying to production.
  • CI/CD Pipelines: Integrate IAM role and service account configuration checks into your CI/CD pipeline to catch issues early.
  • Automated Tests: Use automated tests to validate that service accounts can assume IAM roles and access AWS resources as expected.

5. Neglecting to Update Tools

Description: Using outdated versions of AWS CLI, kubectl, or eksctl, which may lack necessary features or contain bugs.

Avoidance Tips:

  • Regular Updates: Regularly update AWS CLI, kubectl, and eksctl to the latest versions.
  • Changelog Reviews: Review the changelogs for these tools to understand new features and bug fixes that may affect your configuration.
  • Compatibility Checks: Ensure that the versions of these tools are compatible with your current AWS and Kubernetes setup.

6. Failing to Monitor and Audit

Description: Not monitoring IAM role usage or failing to audit the access patterns of service accounts.

Avoidance Tips:

  • AWS CloudTrail: Enable AWS CloudTrail to log all actions performed by IAM roles for auditing and monitoring purposes.
  • Regular Audits: Conduct regular audits of CloudTrail logs to identify and respond to any unusual or unauthorized access.
  • Set Alerts: Configure alerts for any unusual activities, such as access to sensitive resources or actions outside normal patterns.

Experts Tips and Strategies for Configuring IAM roles for service accounts in Amazon EKS

Successfully configuring AWS IAM roles for service accounts in Amazon EKS requires not only following the correct procedures but also leveraging advanced tips and strategies. Here are some expert insights to help you maximize efficiency, security, and scalability in your setup.

1. Implement the Principle of Least Privilege

Description: Ensure that each IAM role has only the permissions necessary for its intended function.

Strategies:

  • Fine-Grained Policies: Write fine-grained IAM policies that specify only the required permissions. Avoid using overly broad permissions such as s3:* or ec2:*.
  • Scoped Roles: Create roles that are scoped to specific resources or actions. For example, if a service account only needs read access to a particular S3 bucket, grant s3:GetObject on that bucket only.
  • Review and Audit: Regularly review and audit IAM policies to ensure they remain aligned with the principle of least privilege as the requirements of your applications evolve.

Pro-tip: Use AWS IAM Access Analyzer to help identify overly permissive policies.

2. Use Namespaces to Isolate Workloads

Description: Organize your Kubernetes workloads using namespaces to logically separate and manage resources.

Strategies:

  • Namespace Segregation: Create separate namespaces for different environments (e.g., development, staging, production) or teams. This helps in isolating workloads and managing access more effectively.
  • Role-Based Access Control (RBAC): Use Kubernetes RBAC to define access controls within namespaces. Combine RBAC with IAM roles to enhance security.
  • Environment Variables: Use environment-specific variables and configuration maps to manage different environments within the same cluster securely.

Pro-tip: Use meaningful namespace names that reflect their purpose, such as dev, staging, prod, to avoid confusion.

3. Automate with Infrastructure as Code (IaC)

Description: Use IaC tools to automate the creation and management of AWS and Kubernetes resources.

Strategies:

  • Terraform: Use Terraform to manage AWS resources, including IAM roles and policies. Terraform’s declarative configuration files allow for version control and reproducibility.
  • AWS CloudFormation: Leverage AWS CloudFormation templates to automate the setup of IAM roles and the association of OIDC providers.
  • Kubernetes Manifests: Manage Kubernetes resources using manifest files, and use tools like Helm for templating and deployment.

Pro-tip: Store your IaC configurations in a version-controlled repository (e.g., Git) to track changes and facilitate collaboration.

4. Monitor and Audit with AWS CloudTrail

Description: Enable AWS CloudTrail to monitor and log all actions performed by IAM roles.

Strategies:

  • CloudTrail Logging: Enable CloudTrail logging for your AWS account to track API calls and detect unusual activity.
  • Log Analysis: Use AWS CloudWatch to analyze CloudTrail logs and set up alerts for specific events or patterns.
  • Compliance Audits: Regularly review CloudTrail logs to ensure compliance with security policies and identify any deviations.

Pro-tip: Integrate CloudTrail with AWS Security Hub to centralize and automate security checks and compliance reporting.

5. Leverage Kubernetes Admission Controllers

Description: Use Kubernetes admission controllers to enforce policies and enhance security.

Strategies:

  • OPA/Gatekeeper: Use Open Policy Agent (OPA) or Gatekeeper to enforce policies across your Kubernetes clusters. This helps in ensuring that all deployed resources comply with predefined security and operational standards.
  • Pod Security Policies: Implement Kubernetes Pod Security Policies to control the security context of pods and prevent privilege escalation.
  • Mutating Webhooks: Use mutating webhooks to automatically inject necessary annotations and configurations into your pods and resources.

Pro-tip: Regularly update your admission controller policies to adapt to new security requirements and best practices.

6. Secure Your CI/CD Pipelines

Description: Ensure that your CI/CD pipelines are securely configured to manage deployments to your EKS cluster.

Strategies:

  • Secrets Management: Use AWS Secrets Manager or HashiCorp Vault to securely store and manage secrets required by your CI/CD pipelines.
  • IAM Roles for Service Accounts: Assign specific IAM roles to your CI/CD tools to limit their permissions to only what is necessary for deployment tasks.
  • Pipeline Isolation: Isolate different stages of your CI/CD pipeline to limit the blast radius in case of a security breach.

Pro-tip: Regularly audit your CI/CD pipelines for security vulnerabilities and ensure that best practices for secrets management and access control are followed.

Conclusion

Configuring AWS IAM roles for service accounts in Amazon EKS can greatly enhance your Kubernetes security and management. By following the steps outlined in this guide, you can ensure that your EKS workloads have the appropriate permissions and are securely managed.

Official Supporting Resources

Most Frequently Asked Questions:-

The field of AWS IAM roles for service accounts in Amazon EKS is evolving rapidly, and professionals often seek answers to complex, trending questions. Here are five advanced technical questions that are currently trending, along with detailed answers:

1. How do you manage permissions for multiple EKS clusters?

Answer: Managing permissions across multiple EKS clusters involves setting up a scalable and maintainable IAM strategy:

  • Centralized IAM Policies: Use centralized IAM policies managed through AWS Organizations. This approach helps maintain consistency across multiple accounts and clusters.
  • Cross-Account IAM Roles: Create IAM roles with cross-account access. This allows centralized management while providing necessary permissions to each cluster.
  • Namespaces and RBAC: Use Kubernetes namespaces and RBAC (Role-Based Access Control) to manage permissions within each cluster. Define cluster-specific roles and bindings to control access at the namespace level.
  • Automated Scripts: Use automation tools like Terraform or AWS CloudFormation to consistently deploy and manage IAM roles and policies across multiple clusters.

Pro-tip: Regularly review and audit IAM policies and role assumptions to ensure they align with the principle of least privilege.

2. What are the security best practices for IAM roles in EKS?

Answer: Security best practices for IAM roles in EKS focus on minimizing risk and ensuring robust access controls:

  • Least Privilege Principle: Always adhere to the principle of least privilege, granting only the necessary permissions for each role.
  • Use Conditions in IAM Policies: Apply conditions in IAM policies to further restrict access based on factors like IP addresses, time of day, or specific request parameters.
  • Enable AWS CloudTrail: Use AWS CloudTrail to monitor and log all actions performed by IAM roles, enabling detailed auditing and compliance checks.
  • Multi-Factor Authentication (MFA): Require MFA for sensitive operations, especially those involving administrative roles.
  • Regular Policy Reviews: Conduct regular reviews and audits of IAM roles and policies to identify and remediate any overly permissive permissions or outdated roles.

Pro-tip: Use AWS Security Hub to continuously monitor your security posture and get recommendations for best practices.

3. Can you automate IAM role creation for EKS?

Answer: Yes, automating IAM role creation for EKS can streamline management and ensure consistency:

  • Terraform: Use Terraform scripts to define IAM roles, policies, and their associations with EKS clusters. Terraform’s declarative approach ensures reproducibility and version control.
  • AWS CloudFormation: Leverage AWS CloudFormation templates to automate the creation and configuration of IAM roles. CloudFormation integrates well with other AWS services, providing a cohesive automation solution.
  • CI/CD Pipelines: Integrate IAM role creation into your CI/CD pipelines using tools like Jenkins, GitLab CI, or AWS CodePipeline. This ensures that IAM roles are created and updated as part of your deployment process.

Pro-tip: Store your Terraform scripts or CloudFormation templates in a version-controlled repository (e.g., Git) to track changes and facilitate collaboration.

4. How does OIDC work with EKS?

Answer: OpenID Connect (OIDC) integration with EKS enables secure and flexible authentication for Kubernetes service accounts:

  • OIDC Identity Provider: When you create an EKS cluster, you can associate it with an OIDC identity provider. This setup allows Kubernetes service accounts to use IAM roles via federated identity.
  • Service Account Annotations: Annotate your Kubernetes service accounts with the IAM role’s ARN (Amazon Resource Name). The service account uses this role to access AWS resources securely.
  • IAM Trust Policy: Configure the IAM role’s trust policy to allow the OIDC provider to assume the role. This policy ensures that only authenticated service accounts can assume the role.

Pro-tip: Use eksctl to simplify the configuration of OIDC providers and the association with your EKS cluster.

5. What is the role of CloudTrail in monitoring IAM roles?

Answer: AWS CloudTrail plays a critical role in monitoring and auditing IAM roles:

  • Logging API Calls: CloudTrail logs all API calls made within your AWS account, including those made by IAM roles. This logging provides a comprehensive audit trail of actions performed by your roles.
  • Security Audits: Use CloudTrail logs to perform security audits, identifying any unauthorized or unusual activity. This helps in detecting and responding to potential security incidents.
  • Compliance: Maintain compliance with industry standards and regulations by using CloudTrail logs to demonstrate that all IAM role activities are monitored and audited.
  • Alerts and Insights: Integrate CloudTrail with AWS CloudWatch to set up alerts and gain insights into IAM role activities. This proactive monitoring helps in quickly identifying and mitigating security risks.

Pro-tip: Regularly review CloudTrail logs and set up automated alerts for critical actions, such as changes to IAM policies or roles.

Additional Resources:

You might be interested to explore the following additional resources;

ΓΌ  What is Amazon EKS and How does It Works?

ΓΌ  What are the benefits of using Amazon EKS?

ΓΌ  What are the pricing models for Amazon EKS?

ΓΌ  What are the best alternatives to Amazon EKS?

ΓΌ  How to create, deploy, secure and manage Amazon EKS Clusters?

ΓΌ  Amazon EKS vs. Amazon ECS: Which one to choose?

ΓΌ  Migrate existing workloads to AWS EKS with minimal downtime

ΓΌ  Cost comparison: Running containerized applications on AWS EKS vs. on-premises Kubernetes

ΓΌ  Best practices for deploying serverless applications on AWS EKS

ΓΌ  Securing a multi-tenant Kubernetes cluster on AWS EKS

ΓΌ  Integrating CI/CD pipelines with AWS EKS for automated deployments

ΓΌ  Scaling containerized workloads on AWS EKS based on real-time metrics

ΓΌ  How to implement GPU acceleration for machine learning workloads on Amazon EKS

ΓΌ  How to configure Amazon EKS cluster for HIPAA compliance

ΓΌ  How to troubleshoot network latency issues in Amazon EKS clusters

ΓΌ  How to automate Amazon EKS cluster deployments using CI/CD pipelines

ΓΌ  How to integrate Amazon EKS with serverless technologies like AWS Lambda

ΓΌ  How to optimize Amazon EKS cluster costs for large-scale deployments

ΓΌ  How to implement disaster recovery for Amazon EKS clusters

ΓΌ  How to create a private Amazon EKS cluster with VPC Endpoints

ΓΌ  How to troubleshoot pod scheduling issues in Amazon EKS clusters

ΓΌ  How to monitor Amazon EKS cluster health using CloudWatch metrics

ΓΌ  How to deploy containerized applications with Helm charts on Amazon EKS

ΓΌ  How to enable logging for applications running on Amazon EKS clusters

ΓΌ  How to integrate Amazon EKS with Amazon EFS for persistent storage

ΓΌ  How to configure autoscaling for pods in Amazon EKS clusters

ΓΌ  How to enable ArgoCD for GitOps deployments on Amazon EKS

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