
Secure Helm: Kubernetes Deployment Best Practices
Master Helm charts with this guide for DevOps teams. Learn to deploy, manage, and secure Helm charts effectively for streamlined Kubernetes operations.
Table of Contents
Kubernetes is powerful, but managing deployments can be complex. Helm charts simplify this by packaging your Kubernetes applications. A Helm chart acts as a template, bundling all your Kubernetes resources into a manageable unit. This allows you to deploy and manage applications consistently across different environments. This guide explores Helm charts, from structure and key components to advanced techniques like creating secure Helm deployments and managing dependencies. We'll also show you some awesome Helm charts to get you started.
This guide will explore the world of Helm charts, demystifying their structure, benefits, and how they can transform your Kubernetes workflows. We'll cover practical examples, best practices, and advanced techniques, equipping you with the knowledge to create, manage, and deploy Helm charts. Whether you're a seasoned DevOps engineer or just starting out, this guide will provide valuable insights into leveraging Helm charts to simplify and streamline your Kubernetes deployments.
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Key Takeaways
- Simplify Kubernetes deployments with Helm: Bundling application resources into reusable charts streamlines installation and management, reducing manual effort and errors.
- Manage Helm charts effectively for better collaboration: Version control, documentation, and a central repository promote teamwork and ensure consistent deployments.
- Automate Kubernetes deployments with Helm and CI/CD: Integrating Helm into your CI/CD pipeline enables automated deployments, rollbacks, and streamlined workflows for increased efficiency and reliability.
What Are Helm Charts?
Helm charts are pre-configured packages of Kubernetes resources that simplify deploying and managing applications on Kubernetes clusters. Think of them as templates for your Kubernetes deployments, allowing you to define, install, and upgrade complex applications. They bundle all the necessary Kubernetes objects, like deployments, services, and config maps, into a single, manageable unit. This packaging simplifies deploying and managing applications, making it easier to version control, share, and reuse deployments across different environments.
What is Helm's Role in Kubernetes?
Managing Kubernetes deployments without Helm can become complex, especially as the number of applications and microservices grows. Helm acts as a package manager for Kubernetes, similar to apt or yum for Linux systems or npm for JavaScript projects. Helm streamlines the installation and management of applications by providing a standardized way to package, distribute, and manage Kubernetes manifests, making deployments more predictable and repeatable.
Key Components of a Helm Chart
A Helm chart has a few key components that work together to define and deploy your application. The Chart.yaml file contains metadata about the chart. The values.yaml file holds the default configuration values for your application. The templates directory contains template files that define the Kubernetes resources for your application. Understanding these core components is crucial for effectively building and managing Helm charts.
Chart.yaml
The Chart.yaml
file is the core of your Helm chart. It provides essential information about the chart, including its name, version, description, maintainers, and keywords. Think of it as the identification card for your Helm chart. Helm uses this information to identify and manage the chart, making it crucial for organizing and sharing your Kubernetes deployments. A well-maintained Chart.yaml
ensures clarity and consistency. For more details, refer to the Helm documentation on Chart.yaml.
values.yaml
The values.yaml
file acts as the control panel for your Helm chart’s configuration. It defines the default values for your application, allowing customization without modifying the core templates. You can specify everything from container images and resource limits to environment variables and service ports. The power of values.yaml
lies in its ability to be overridden during deployment. This flexibility lets you tailor deployments to different environments or use cases without changing the chart's structure. The Helm documentation offers a deeper dive into using values.yaml
.
templates/ Directory
The templates/
directory contains the Kubernetes resource definitions for your application’s deployment. These files, written in the Go templating language, are processed by Helm to generate the final Kubernetes manifests. This directory includes all the necessary Kubernetes objects, such as deployments, services, ingress, and configmaps. Helm's templating engine dynamically generates these manifests based on the values provided in your values.yaml
file or during deployment. This dynamic approach enables flexible and reusable deployments. The Helm documentation on templates provides a comprehensive guide.
charts/ Directory
The charts/
directory manages dependencies for your application. It contains other Helm charts that your chart depends on, enabling modular and reusable configurations. For example, if your application requires a database, you can include the database chart as a dependency in this directory. Helm will then manage the installation and upgrade of these dependencies along with your main chart. This modular approach simplifies complex deployments and promotes code reuse. See the Helm documentation on dependencies for more information.
Anatomy of a Helm Chart
Understanding a Helm chart's structure is crucial for managing your Kubernetes deployments. Let's break down the key parts:
Chart.yaml: The Metadata Hub
The Chart.yaml file is the information center for your Helm chart. It contains essential metadata: the chart's name, version, description, maintainers, and dependencies. This information helps users understand the chart's purpose and how to use it. A well-maintained Chart.yaml is vital for discoverability and management within chart repositories.
values.yaml: Configure Your Chart
The values.yaml file holds the default configuration for your Helm chart. Here, you define variables that can be customized during deployment. For example, you might specify the number of replicas for your application, the container image to use, or resource limits. This lets you easily adapt your deployments to different environments without modifying the core chart templates. This flexibility makes values.yaml powerful for managing variations in your deployments.
Templates Directory: The Heart of Your Chart
The templates directory is the core of your Helm chart. It contains template files that define the Kubernetes resources to be deployed. These templates, written in the Go templating language, dynamically generate Kubernetes YAML manifests based on the values you provide in values.yaml. This separation of configuration and resource definitions promotes reusability and maintainability, allowing you to create complex deployments with minimal code duplication.
Charts Directory: Manage Dependencies
The charts directory manages dependencies between Helm charts. If your application relies on other services, like a database or message queue, you can include their Helm charts as dependencies within this directory. Helm will then automatically install and manage these dependencies when you deploy your chart, simplifying the deployment of complex applications with multiple components.
Explore platforms like Plural that automate Helm chart dependency updates, ensuring your Helm charts always use the latest and most secure dependencies. Learn more at Plural.sh or schedule a demo.

Why Use Helm Charts?
Helm charts have become essential for managing application lifecycles in Kubernetes. They streamline deployments, improve collaboration, and offer control that simplifies even complex Kubernetes setups. Let's explore the key benefits:
Simplify Complex Kubernetes Deployments
Kubernetes offers powerful orchestration capabilities, but managing numerous YAML files for deployments, services, and other resources can be complex. This complexity can easily lead to errors, especially as your applications grow. Helm charts package all these resources into a single, manageable unit. This drastically simplifies deployments, reducing manual effort and the risk of mistakes. This streamlined approach is invaluable for microservice architectures, where you might manage hundreds of services. Helm charts provide a structured way to define and deploy these services, ensuring consistency and repeatability.
Version Control Your Applications
Just like your application code, your Kubernetes configurations should be under version control. Helm charts seamlessly integrate with systems like Git, allowing you to track changes, revert to previous versions, and collaborate on deployments. This creates a clear audit trail and simplifies rollbacks if issues arise. This version control is crucial for stable and reliable Kubernetes environments. It enables infrastructure as code (IaC), applying the same development best practices to your Kubernetes deployments.
Enhance Team Collaboration
Helm charts foster collaboration within DevOps teams. Packaging Kubernetes configurations into reusable charts allows teams to share and reuse best practices, reducing duplicated effort and ensuring consistency across deployments. This collaborative approach is essential for organizations adopting DevOps principles and accelerating software delivery.
Secure Helm: Best Practices for Securing Your Kubernetes Deployments
Helm Security Considerations
RBAC Configuration
One of the first lines of defense for any Kubernetes deployment is Role-Based Access Control (RBAC). RBAC lets you granularly control access to resources within your cluster. When using Helm, define specific roles and permissions for Helm operations. Avoid granting overly broad permissions, especially the `cluster-admin` role. Overly permissive roles can significantly expand the impact of a security breach. Instead, create roles tailored to specific Helm actions, like installing or upgrading releases. This principle of least privilege minimizes potential damage from compromised credentials.
Securing Tiller (Helm 2)
If you're still using Helm 2 (which is deprecated), securing Tiller, the server-side component, is critical. The default Tiller installation with helm init
is insecure. Securing Tiller involves configuring RBAC, securing its gRPC endpoint (ideally with TLS), protecting release information, and vetting the Helm charts you use. Migrating to Helm 3, which removes Tiller, is the recommended approach for improved security.
Protecting Release Information
Helm stores release information within your Kubernetes cluster. By default, this is stored in ConfigMaps, which aren't suitable for sensitive data. For better security, configure Helm to store release information in Kubernetes Secrets. Secrets offer a more secure storage mechanism for this sensitive data.
Secret Management in Helm Charts
Choosing a Secret Management Solution
Storing secrets directly within Helm charts is a major security risk. Hardcoding secrets makes them vulnerable to exposure through version control or accidental sharing. Instead, use a dedicated secret management solution. Popular options include the helm-secrets
plugin (which supports encryption and cloud integration) or the External Secrets Operator. These tools manage secrets externally and securely inject them during deployment.
Integrating Secret Management into Your Workflow
Once you've chosen a solution, integrate secret management into your CI/CD pipeline. Implement secrets rotation to regularly change your secrets, minimizing the impact of a potential compromise. Use tools like Reloader to automatically restart pods when secrets change, ensuring your applications use the latest values.
Helm Chart Repositories and Security
Selecting Trusted Repositories
Not all Helm chart repositories are equal. Before adding a new repository, evaluate its source and reliability. Stick to official or well-maintained community repositories. Be wary of unofficial repositories, as they may contain malicious or outdated charts. Review the chart's documentation and source code before deploying.
Validating Chart Integrity
Use the helm verify
command to check the digital signatures of your Helm charts. Digital signatures ensure the chart hasn't been tampered with, protecting against malicious code injection.
Additional Helm Security Best Practices
Regular Security Audits
Regularly audit your Helm deployments and Kubernetes configurations. Use security scanning tools to check for vulnerabilities and ensure compliance with security best practices, like CIS benchmarks. Integrating security scanning into your CI/CD pipeline automates this process and provides continuous feedback.
Staying Up-to-Date with Security Updates
Keeping your software updated is crucial for security. Regularly update your Helm charts, the helm
binary, and any plugins. These updates often include security patches. Staying current with releases helps protect against emerging threats. A platform like Plural can help automate Helm chart updates.
Best Practices for Helm Chart Development
Building effective Helm charts involves more than just assembling the basic components. Following best practices ensures your charts are maintainable, scalable, and secure, contributing to smoother deployments and a more efficient workflow.
Write Effective Templates
When writing templates, focus on modularity and reusability. Break down complex deployments into smaller, manageable templates that you can combine and reuse across different charts. The Helm Chart Best Practices Guide offers valuable insights into writing efficient and maintainable templates. Familiarize with Helm built-in functions and template syntax to maximize its capabilities, creating flexible and adaptable charts for easy deployment across different environments.
Keep Charts Modular and Reusable
Think of your Helm charts like building blocks. Creating small, focused charts that handle specific functionalities allows you to combine and reuse them across different projects. Instead of crafting a monolithic chart for a complex application, breaking down into smaller, manageable charts for individual services or components. In this way, if you need to update a specific service, you only modify its corresponding chart. This also makes sharing charts within your organization easier, fostering collaboration and consistency.
Document Your Charts
Clear, comprehensive documentation is crucial for any software project, and Helm charts are no exception. A well-documented chart explains its purpose, configuration options, and dependencies, helping other developers (and your future self) understand how to use and customize the chart. Include a README.md file in your chart directory with details about the chart's functionality, required values, and any specific instructions. Consider using tools like helm-docs to auto-generate documentation from your chart's metadata and comments.
Secure Sensitive Information
Protecting sensitive information, such as database credentials or API keys, is paramount. Never hardcode these values directly into your chart's values.yaml file. Instead, utilize Kubernetes Secrets to store and manage this data. You can then reference these secrets within your chart's templates. This approach keeps sensitive information out of your version control system and enhances the security of your deployments. Explore tools like Sealed Secrets or SOPS to encrypt secrets before storing them in your repository.
Leverage Existing Charts and Repositories
Before building a chart from scratch, explore existing chart repositories like Artifact Hub for a suitable chart. Leveraging pre-built charts saves you time and effort, allowing you to focus on customization. These repositories often contain charts for common applications and services, providing a solid foundation for your deployments. Remember to carefully review the documentation and security practices of any third-party charts you use.
Helm Charts in Different Environments
Managing deployments across different environments—like development, staging, and production—often requires distinct configurations. Helm charts excel at handling these variations, allowing you to define environment-specific settings without modifying the core chart structure. This ensures consistency and reduces the risk of errors when promoting releases.
Managing Environment-Specific Configurations
Helm offers several ways to tailor your deployments for specific environments. Choosing the right approach depends on the complexity of your application and the differences between your environments.
Using values Files for Different Environments
The simplest approach is to create separate values files for each environment. For example, you might have values-dev.yaml
, values-staging.yaml
, and values-prod.yaml
. Each file would contain the specific configuration values for the corresponding environment, overriding the defaults in values.yaml
. When deploying your chart, you specify the appropriate values file using the -f
or --values
flag with the helm install
or helm upgrade
command. This allows you to manage environment-specific settings like resource limits, replica counts, and ingress configurations without altering the core chart definition.
Helmfile and other Environment Management Tools
For more complex scenarios, tools like Helmfile provide a declarative way to manage multiple Helm releases across different environments. Helmfile allows you to define your deployments in a YAML file, specifying the chart, release name, and values for each environment. This centralizes your deployment configuration and simplifies managing complex deployments across a fleet of clusters. Tools like TrueCharts offer similar functionality, providing a structured approach to managing and customizing Helm releases. For instance, you could define different ingress configurations for staging and production environments within your Helmfile, ensuring each environment adheres to its specific networking requirements.
Plural’s unified platform streamlines managing Helm charts across environments, providing a centralized dashboard for deployments and configuration. This simplifies multi-environment deployments and reduces operational overhead, allowing you to manage releases across your entire Kubernetes footprint from a single pane of glass. You can easily switch between environments, view deployment status, and manage configurations without needing to navigate between different tools or consoles.
Promoting Helm Charts Across Environments
Promoting Helm charts through different environments should be a streamlined and automated process. This ensures consistency and reduces the risk of errors during deployments.
Establishing a CI/CD Pipeline for Helm Deployments
Integrating Helm into your CI/CD pipeline automates deployments, rollbacks, and testing. This allows you to promote charts from development to staging to production with minimal manual intervention. Tools like Jenkins, Argo CD, and CircleCI provide robust support for Helm, enabling automated deployments and streamlined workflows. For example, you can configure your CI/CD pipeline to automatically deploy a new version of your application to the staging environment after successful integration tests. This automation reduces manual effort and ensures consistent deployments across environments.
Automating Testing and Validation in Each Environment
Before promoting a Helm chart to the next environment, it's essential to thoroughly test and validate the deployment. This might involve running integration tests, performance tests, or security scans. Automating these tests within your CI/CD pipeline ensures that each release meets the required quality standards before moving to the next stage. Tools like Keptn and Weave Scope can help automate testing and validation processes, providing valuable insights into the health and performance of your deployments. For example, you could integrate Keptn into your pipeline to automatically run performance tests after deploying to staging. If the performance metrics meet predefined thresholds, the chart can be automatically promoted to production. This automated validation ensures that releases are thoroughly vetted before reaching production, minimizing the risk of performance issues or regressions.
Manage Helm Charts in Your Organization
Once you’ve created your Helm charts, managing them effectively is crucial for streamlined deployments and maintainability. This involves establishing a central repository, implementing robust testing, and adhering to versioning best practices.
Establish a Chart Repository
A chart repository is a centralized hub for storing and sharing Helm charts. Think of it like a private app store for your Kubernetes deployments. This allows your team to easily access and reuse charts, promoting consistency and reducing redundant effort. ChartMuseum offers a simple way to get started to host your own repository. For more complex needs, explore options like JFrog Artifactory or Harbor. These platforms provide advanced features for managing and securing your Helm chart repositories.
Test and Validate Charts
Before deploying to production, thorough testing is paramount. This ensures your applications deploy correctly and function as expected. Implement automated testing to validate chart functionality across different environments. Use tools like helm test and helm lint to catch errors early. A robust testing strategy minimizes the risk of deployment failures and ensures application reliability. The Helm documentation provides more information on testing. Consider integrating these tests into your CI/CD pipeline for automated validation with each code change.
Version and Release Charts
Versioning your Helm charts is essential for tracking changes and enabling rollbacks. Follow semantic versioning principles for clear communication of changes between releases. This helps teams understand the impact of updates. When releasing a new chart version, clearly document the changes in the release notes. This provides valuable context for your team and helps track the evolution of your applications. Consider using a Git-based workflow for managing your chart source code, allowing you to track changes and revert to previous versions if needed. This, combined with proper versioning, creates a robust and manageable release process.
Helm Charts vs. Kubernetes YAML Files
When working with Kubernetes, you'll encounter two primary methods for defining and deploying your applications: Kubernetes YAML files and Helm Charts. Understanding their differences is crucial for choosing the right approach.
Compare Complexity and Maintainability
Kubernetes YAML files offer a direct, declarative way to define your application's desired state. You specify every detail, from deployments and services to config maps and secrets. This approach works well for simple applications. However, as your application grows, managing these files can become complex. Updates require modifying multiple files, and keeping track of versions and dependencies becomes a manual, error-prone process. Imagine managing hundreds of interconnected YAML files—it can quickly become a maintenance nightmare.
Helm charts provide a higher level of abstraction, packaging all your Kubernetes YAML files into a single, manageable unit, simplifying deployments, upgrades, and rollbacks. For instance, instead of copying and pasting YAML configurations for different environments, you can use a single Helm chart and adjust each variable with Helm's powerful templating engine. This streamlines maintenance and reduces the risk of errors. Platforms like Plural, further enhance Helm chart management by automating dependency updates and security compliance tasks.
Evaluate Flexibility and Customization
While Helm charts excel at managing complexity, some worry about sacrificing flexibility. However, Helm offers robust customization options. You can override default values in your charts, tailoring deployments to specific needs. Helm's templating engine supports various functions and control structures, enabling complex logic and dynamic configuration generation. This means you can create highly adaptable charts that cater to different environments and use cases.
Integrate Helm Charts into CI/CD Pipelines
Integrating Helm charts into your CI/CD pipelines is crucial for automating and streamlining application deployments on Kubernetes. This allows for faster release cycles, less manual work, and improved reliability. Consider using platforms like Plural that integrate seamlessly with existing CI/CD pipelines, allowing your teams to automate the entire deployment process, from code commit to production deployment. Let's explore some key practices for successful integration.
Automate Chart Deployment
Package your Helm chart into a chart archive (a .tgz file) and upload it to a Helm chart repository. Repositories like Artifact Hub or cloud-based solutions such as JFrog Artifactory, ChartMuseum, and Harbor provide a central location for storing and managing your charts. This is better than installing charts directly from your local machine during the CI/CD process.
Implement Rollback Strategies
A solid rollback strategy is essential. Helm's built-in rollback feature can easily revert to a previous release if a deployment has problems. This minimizes downtime and allows for quick recovery. Defining rollback strategies in your CI/CD pipeline automates the process and ensures consistent application stability.
Plural's Approach to Streamlined Rollbacks
In Kubernetes, deployments don't always go as planned. A robust rollback strategy is crucial for maintaining application stability and minimizing downtime when issues arise. Helm's built-in rollback feature allows you to quickly revert to a previous release, but managing rollbacks across a large fleet can be cumbersome.
Plural streamlines the rollback process by providing a centralized management interface for your Helm charts. Teams can easily track changes, manage versions, and implement rollback strategies seamlessly across their entire Kubernetes fleet. With Plural, you can:
- Visualize Deployment History: Clearly see the history of your deployments, including which versions were deployed when and by whom. This audit trail simplifies identifying the correct point to roll back to.
- Execute Rollbacks with One Click: Initiate rollbacks across your entire fleet or to specific clusters with a single click, reducing the time and effort required for recovery.
- Automate Rollbacks within CI/CD: Integrate Plural with your existing CI/CD pipeline to automate rollbacks based on defined criteria, such as failed health checks or performance regressions. This ensures quick and consistent recovery without manual intervention.
By leveraging Plural's centralized management and automation capabilities, organizations can ensure their Kubernetes deployments are resilient and capable of recovering swiftly from any disruptions. This reduces operational overhead and allows teams to focus on delivering value. Book a demo to see how Plural can simplify your rollback process.
Tools and Platforms for Helm Chart Integration
Several tools and platforms enhance Helm chart integration within CI/CD pipelines. Popular CI/CD platforms like GitHub Actions, GitLab CI/CD, and Jenkins seamlessly integrate with Helm, automating chart deployments as part of your workflows. Platforms like Plural provide a declarative approach to continuous delivery, enabling GitOps practices for managing Kubernetes deployments with Helm. Exploring these tools and platforms can significantly improve your team's efficiency and streamline your Kubernetes operations.
Advanced Helm Chart Techniques
This section explores advanced techniques for using Helm charts, enabling you to manage complex deployments and customize your workflows.
Use Helm in Multi-Environment Deployments
Managing deployments across multiple environments (development, staging, production) is a common challenge. Helm simplifies this by allowing you to define environment-specific configurations. You can accomplish this within your main values.yaml file or by creating separate values files for each environment (e.g., values-dev.yaml, values-prod.yaml). This approach keeps your chart’s core logic consistent while tailoring configurations to each environment's needs. Your CI/CD pipeline can then use the appropriate values file during deployment.
Customize Charts with Hooks and Plugins
Helm hooks provide a way to execute specific actions at different points in a chart's lifecycle (e.g., pre-install, post-upgrade). This allows for tasks like database initialization, schema updates, or running custom scripts. Helm plugins extend Helm's functionality, offering capabilities like linting, security scanning, and integrating with other tools. Using hooks and plugins helps automate complex tasks and tailor Helm to your specific requirements.
Overcome Common Integration Challenges
Integrating Helm into your CI/CD pipeline can present challenges, such as managing dependencies and consistency across services. Addressing dependency management is crucial. Helm helps manage these dependencies through its requirements.yaml file and the helm dependency command. Explore platforms like Plural that enhance Helm chart management through automated dependency updates.
Ensuring consistency involves standardizing chart structures and using tools for linting and validation. Implementing rollback strategies is also essential for mitigating deployment failures. Helm's rollback feature allows you to revert to a previous revision release and minimize downtime. Addressing these challenges, you can create a robust and reliable CI/CD pipeline with Helm.
How Plural Enhances Helm Chart Management
Plural is an AI-powered Kubernetes management platform that streamlines operations and enhances the use of Helm charts. By automating tasks like cluster maintenance, updates, and dependency management, Plural frees up DevOps teams to focus on delivering value.
One key way Plural enhances Helm chart management is through automated dependency updates. Keeping dependencies up-to-date is crucial for security and performance, but it can be a time-consuming and error-prone process. Plural automates this process, ensuring your Helm charts always use the latest and most secure dependencies.
Plural also simplifies the deployment and management of complex Helm charts. With its intuitive interface and powerful automation capabilities, Plural makes deploying and managing even the most complex applications easy. This can significantly reduce deployment times and improve overall operational efficiency.
Finally, Plural integrates seamlessly with existing CI/CD pipelines. This allows teams to automate the entire deployment process, from code commit to production deployment. By leveraging Plural's automation capabilities, teams can achieve faster release cycles and improved reliability.
Ready to supercharge your Helm Chart Management with Plural? Book a demo today to see how this works.
Simplified and Secure Helm Deployments with Plural
Plural simplifies Helm deployments by providing a centralized platform to manage your entire Kubernetes fleet. You can deploy and manage Helm charts across multiple clusters, namespaces, and environments from a single interface. This eliminates juggling kubectl contexts and simplifies complex deployments, reducing errors and improving efficiency. Plural's GitOps-based approach ensures that your deployments are always in sync with your Git repository, providing a clear audit trail and simplifying rollbacks.
Security is a key consideration with Plural. The platform's agent-based architecture means your management cluster doesn't need direct access to your workload clusters. This enhances security by reducing the attack surface and minimizing the risk of unauthorized access. The agent initiates all communication and executes write operations with local credentials, so your management cluster doesn’t need to store global credentials.
Streamlined Management of Helm Charts Across Your Entire Fleet
Managing Helm charts across a large Kubernetes fleet can be daunting. Plural streamlines this with a unified dashboard to manage all your Helm releases. You can easily view deployment status, upgrade or rollback releases, and manage dependencies across your entire fleet. Plural also simplifies promoting Helm charts across different environments. With its built-in GitOps workflows, promote changes from development to staging to production with a few clicks, reducing errors and ensuring consistency.
Plural also offers advanced features for managing Helm chart dependencies. The platform automatically updates dependencies, ensuring your charts always use the latest, most secure versions. This eliminates manual updates and reduces vulnerabilities. You can focus on building and deploying applications, confident that your dependencies are up-to-date and secure.
Integrating Helm with Plural's Infrastructure-as-Code Management
Plural's Infrastructure-as-Code (IaC) management capabilities integrate seamlessly with Helm, providing a complete solution for managing your Kubernetes infrastructure. Using Plural Stacks, manage the underlying infrastructure for your Kubernetes clusters with Terraform, ensuring your infrastructure is always in sync with application deployments. This tight integration simplifies managing complex deployments and reduces configuration drift.
Plural also supports a self-service code generation feature, empowering developers to easily create and deploy new applications. With a simple UI wizard, developers generate the necessary Helm charts and IaC configurations, accelerating development and enabling self-service infrastructure. This combination of Helm chart management, GitOps workflows, and IaC automation makes Plural a powerful platform for managing Kubernetes at scale. Contact us to learn more.
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Unified Cloud Orchestration for Kubernetes
Manage Kubernetes at scale through a single, enterprise-ready platform.
Frequently Asked Questions
What are the core components of a Helm chart, and why are they important?
A Helm chart relies on a few key elements. The Chart.yaml file acts as the chart's identity, holding essential information like its name and version. The values.yaml file contains the default settings for the chart, which you can customize during deployment. Finally, the templates directory houses the files that define your Kubernetes resources. These components work together to provide a structured and flexible way to manage your Kubernetes deployments.
How do Helm charts simplify managing applications across different environments?
Helm charts excel at managing applications across multiple environments (like development, staging, and production) through customizable values. You can create separate values files for each environment or use conditional logic within your templates. This lets you deploy the same chart with different configurations, ensuring consistency and reducing manual effort.
How can I secure sensitive information, like passwords, when using Helm charts?
Never store sensitive information directly in your Helm charts. Instead, utilize Kubernetes Secrets to manage and protect this data. You can then reference these secrets within your chart's templates, ensuring your sensitive information remains secure and separate from your chart's configuration.
What are some best practices for creating and managing Helm charts within a team?
Create small, reusable charts with clear documentation. Establish a central chart repository for sharing and versioning. Implement a robust testing strategy to validate your charts before deployment. These practices promote maintainability, collaboration, and reliability within your team.
How do Helm charts fit into a CI/CD pipeline, and what are the benefits?
Helm charts integrate seamlessly into CI/CD pipelines, automating deployments and streamlining releases. By incorporating Helm into your workflow, you can automate deployments, implement rollback strategies, and manage configurations across different environments. This leads to faster release cycles, reduced manual effort, and improved reliability.
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