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Helm.sh VS Usage AI

Compare Helm.sh VS Usage AI and see what are their differences

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Helm.sh logo Helm.sh

The Kubernetes Package Manager

Usage AI logo Usage AI

Usage's Automated Reserved Instance Manager buys/sells Flex RIs(3-yr-no-upfront RIs under the hood) to maximize your coverage and minimize your compute spend - up to a maximum 57% savings!
  • Helm.sh Landing page
    Landing page //
    2021-07-30
  • Usage AI Landing page
    Landing page //
    2023-08-28

Helm.sh features and specs

  • Ease of Use
    Helm simplifies the deployment and management of Kubernetes applications by providing a package manager format that is easy to understand and use. It abstracts complex Kubernetes configurations into simple YAML files called Charts.
  • Reusable Configurations
    Helm Charts allow for reusable Kubernetes configurations, making it easier to maintain and share best-practice templates across different environments and teams.
  • Versioning
    Helm supports versioning of Helm Charts, enabling rollbacks to previous application states, which is critical for managing updates and rollbacks in production environments.
  • Extensibility
    Helm is highly extensible with Plugins and the ability to use community-contributed Charts. This extensibility facilitates customizations and leveraging the community for improved and varied functionality.
  • Templating Engine
    Helm Charts support Go templating, which allows for dynamic configuration values, making Helm Charts more flexible and powerful.
  • Broad Adoption
    Helm is widely adopted in the Kubernetes ecosystem, leading to a vast repository of pre-built Charts, extensive documentation, and strong community support.

Possible disadvantages of Helm.sh

  • Complexity
    While Helm simplifies many tasks, the templating language and Chart configurations can become complex and hard to manage, especially for large-scale applications.
  • Learning Curve
    New users of Helm may face a steep learning curve, particularly those who are not already familiar with Kubernetes concepts or YAML configuration syntax.
  • Security
    Helm's default Tiller component (used in Helm v2) had security concerns related to role-based access control (RBAC). While Helm v3 removed Tiller, previous versions may still be in use, leading to potential security risks.
  • Debugging
    Debugging issues with Helm Charts can be challenging, especially due to the abstraction and layering between the Helm template engine and the actual Kubernetes resources deployed.
  • Resource Abstraction
    Helm can sometimes abstract away too much of the Kubernetes internals, which might hinder advanced users who need fine-grained control over their deployments.
  • Dependency Management
    Managing dependencies between different Helm Charts can become cumbersome and lead to complex dependency trees that are hard to manage and debug.

Usage AI features and specs

No features have been listed yet.

Helm.sh videos

+ Add

Review: Helm's Zind Is My Favorite Black Boot (Discount Available)

More videos:

  • Review - Helm Free VST/AU Synth Review
  • Review - Another Khracker From Helm - Khuraburi Review

Usage AI videos

No Usage AI videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Helm.sh and Usage AI)

Helm.sh

Usage AI

Developer Tools
95 95%
Developer Tools
5% 5
Cloud Computing
82 82%
Cloud Computing
18% 18
DevOps Tools
100 100%
DevOps Tools
0% 0
AWS Management
0 0%
AWS Management
100% 100

User comments

Share your experience with using Helm.sh and Usage AI. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Helm.sh seems to be a lot more popular than Usage AI. While we know about 170 links to Helm.sh, we've tracked only 3 mentions of Usage AI. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Helm.sh mentions (170)

  • Install Red Hat Developer Hub with AI Software Templates on OpenShift
    Helm installed: brew install helm or from https://helm.sh. - Source: dev.to / 14 days ago
  • Even more OpenTelemetry - Kubernetes special
    Docker Compose is great for demos: docker compose up, and you're good to go, but I know no organization that uses it in production. Deploying workloads to Kubernetes is much more involved than that. I've used Kubernetes for demos in the past; typing kubectl apply -f is dull fast. In addition to GitOps, which isn't feasible for demos, the two main competitors are Helm and Kustomize. I chose the former for its... - Source: dev.to / about 1 month ago
  • Kubernetes and Container Portability: Navigating Multi-Cloud Flexibility
    Helm Charts – An open-source solution for software deployment on top of Kubernetes. - Source: dev.to / 29 days ago
  • Chart an Extensible Course with Helm
    Clicks, copies, and pasting. That's an approach to deploying your applications in Kubernetes. Anyone who's worked with Kubernetes for more than 5 minutes knows that this is not a recipe for repeatability and confidence in your setup. Good news is, you've got options when tackling this problem. The option I'm going to present below is using Helm. - Source: dev.to / about 1 month ago
  • IKO - Lessons Learned (Part 1 - Helm)
    Looks like we're good to go (assuming you already have helm installed, if not install it first)! Let's install the IKO. We are going to need to tell helm where the folder with all our goodies is (that's the iris-operator folder you see above). If we were to be sitting at the chart directory you can use the command. - Source: dev.to / 2 months ago
View more

Usage AI mentions (3)

  • Stop bleeding money on cloud infrastructure
    Thanks for sharing your project! Cloud costs have gotten ridiculously out of control (an Andreessen Horowitz report estimates that the excess cost of public cloud is $500 billion per year [1]) and it's great to see more projects tackling this problem. I'm curious to see if you plan on implementing automation, or if the tool is focused on recommendations? We've built a tool at Usage.AI that automatically buys and... - Source: Hacker News / almost 3 years ago
  • Comparing Bandwidth Costs of Amazon, Google and Microsoft Cloud Computing (2017)
    +1 on WalterGR's question. Google Cloud recently hiked prices (again), doubling prices for some of its services [1], though Amazon has a better track record of keeping prices steady (or even reducing them) [2]. There are also newer innovations that aren't discussed in that comparison, like Google's Commited Use Discounts and Azure Reserved VM Instances (their answers to Amazon's Reserved Instances). If you're... - Source: Hacker News / almost 3 years ago
  • Show HN: Usage, Cut your AWS Bill by 50%+ in 5 Minutes
    FYI, you didn't provide a clear link or anything. Just the privacy policy in footer. Looks like it is this: https://usage.ai. - Source: Hacker News / about 3 years ago

What are some alternatives?

When comparing Helm.sh and Usage AI, you can also consider the following products

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

CloudFix - CloudFix is the automatic, always-running way to optimize AWS cost and performance.

Rancher - Open Source Platform for Running a Private Container Service

ProsperOps - Cost optimization tools and expertise from the creators of AWS' largest Managed Service Provider. Our customers increase savings an average of 34%.

Docker Compose - Define and run multi-container applications with Docker

Cloudability - Cloudability lets you monitor, manage and communicate your cloud costs with one easy tool.

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