kpt Description
kpt is a package-centric, toolchain that allows for a WYSIWYG configuration authoring and automation experience. This simplifies Kubernetes platforms, KRM-driven infrastructure, and Kubernetes platforms at scale by manipulating declarative configura as data, separate from the code that transforms them. Kubernetes users manage their resources using either conventional imperative graphical user interfaces or command-line tools (kubectl), or automation (e.g. operators) that directly operate against Kubernetes APIs or declarative configuration tools such as Helm, Terraform or cdk8s. This is mostly due to familiarity and preference on a small scale. It becomes more difficult to create and enforce consistent configurations and security policies in a growing environment as companies increase the number of Kubernetes production and development clusters they use.
kpt Alternatives
Google Cloud Run
Fully managed compute platform to deploy and scale containerized applications securely and quickly. You can write code in your favorite languages, including Go, Python, Java Ruby, Node.js and other languages. For a simple developer experience, we abstract away all infrastructure management. It is built upon the open standard Knative which allows for portability of your applications. You can write code the way you want by deploying any container that listens to events or requests. You can create applications in your preferred language with your favorite dependencies, tools, and deploy them within seconds. Cloud Run abstracts away all infrastructure management by automatically scaling up and down from zero almost instantaneously--depending on traffic. Cloud Run only charges for the resources you use. Cloud Run makes app development and deployment easier and more efficient. Cloud Run is fully integrated with Cloud Code and Cloud Build, Cloud Monitoring and Cloud Logging to provide a better developer experience.
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Telepresence
You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.
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Fairwinds Insights
Protect and optimize mission-critical Kubernetes apps. Fairwinds Insights, a Kubernetes configuration validation tool, monitors your Kubernetes containers and recommends improvements. The software integrates trusted open-source tools, toolchain integrations and SRE expertise, based on hundreds successful Kubernetes deployments. The need to balance the speed of engineering and the reactive pace of security can lead to messy Kubernetes configurations, as well as unnecessary risk. It can take engineering time to adjust CPU or memory settings. This can lead to over-provisioning of data centers capacity or cloud compute. While traditional monitoring tools are important, they don't offer everything necessary to identify and prevent changes that could affect Kubernetes workloads.
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AWS Fargate
AWS Fargate, a serverless compute engine that runs containers, works with both Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. Fargate makes it simple for you to concentrate on building your applications. Fargate eliminates the need for provisioning and managing servers. It allows you to specify and pay per application for resources. Fargate also improves security by application isolation by design.
Fargate allocates the correct amount of compute, eliminating the need for instances to scale cluster capacity and choosing instances. You only pay for what you use to run your containers. There is no need to over-provision or purchase additional servers. Fargate runs each task and pod in its own kernel, giving them their own isolated computing environment. This allows your application to be isolated from the workload and provides greater security by design.
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Company Details
Company:
kpt
Website:
kpt.dev/
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Product Details
Platforms
Mac
Linux
Type of Training
Documentation
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Customer Support
Online
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