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 Kubernetes Engine (GKE)
Advanced apps can be run on a managed Kubernetes service that is secured and managed. GKE is an enterprise-grade platform that allows containerized applications to run, including stateful and non-stateful, Linux and Windows, AI and ML and complex web apps. It also supports APIs and backend services. You can leverage industry-first features such as four-way auto scaling and no stress management. Optimize GPU/TPU provisioning, make use of integrated developer tools, and get multicluster support from SREs. Single-click clusters allow you to quickly get started. You can leverage a high-availability control plan that includes multi-zonal clusters and regional clusters. Reduce operational overhead by using auto-repair, automatic-upgrade, or release channels. Secure by default, with vulnerability scanning of container images as well as data encryption. Integrated Cloud Monitoring with infrastructure, application and Kubernetes specific views. You can speed up app development without compromising security.
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Amazon EKS
Amazon Elastic Kubernetes Service (EKS) is a comprehensive Kubernetes management solution that operates entirely under AWS's management. High-profile clients like Intel, Snap, Intuit, GoDaddy, and Autodesk rely on EKS to host their most critical applications, benefiting from its robust security, dependability, and ability to scale efficiently. EKS stands out as the premier platform for running Kubernetes for multiple reasons. One key advantage is the option to deploy EKS clusters using AWS Fargate, which offers serverless computing tailored for containers. This feature eliminates the need to handle server provisioning and management, allows users to allocate and pay for resources on an application-by-application basis, and enhances security through inherent application isolation. Furthermore, EKS seamlessly integrates with various Amazon services, including CloudWatch, Auto Scaling Groups, IAM, and VPC, ensuring an effortless experience for monitoring, scaling, and load balancing applications. This level of integration simplifies operations, enabling developers to focus more on building their applications rather than managing infrastructure.
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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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AWS Fargate
AWS Fargate serves as a serverless compute engine tailored for containerization, compatible with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). By utilizing Fargate, developers can concentrate on crafting their applications without the hassle of server management. This service eliminates the necessity to provision and oversee servers, allowing users to define and pay for resources specific to their applications while enhancing security through built-in application isolation. Fargate intelligently allocates the appropriate amount of compute resources, removing the burden of selecting instances and managing cluster scalability. Users are billed solely for the resources their containers utilize, thus avoiding costs associated with over-provisioning or extra servers. Each task or pod runs in its own kernel, ensuring that they have dedicated isolated computing environments. This architecture not only fosters workload separation but also reinforces overall security, greatly benefiting application integrity. By leveraging Fargate, developers can achieve operational efficiency alongside robust security measures, leading to a more streamlined development process.
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Company:
kpt
Website:
kpt.dev/
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