Best Application Development Software for Amazon EKS - Page 2

AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS). Fargate makes it easy for you to focus on building your applications. Fargate removes the need to provision and manage servers, lets you specify and pay for resources per application, and improves security through application isolation by design. Fargate allocates the right amount of compute, eliminating the need to choose instances and scale cluster capacity. You only pay for the resources required to run your containers, so there is no over-provisioning and paying for additional servers. Fargate runs each task or pod in its own kernel providing the tasks and pods their own isolated compute environment. This enables your application to have workload isolation and improved security by design.

Amazon EKS Anywhere is a new deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on-premises, including on your own virtual machines (VMs) and bare metal servers. EKS Anywhere provides an installable software package for creating and operating Kubernetes clusters on-premises and automation tooling for cluster lifecycle support. EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro (the same Kubernetes that powers EKS on AWS.) EKS Anywhere saves you the complexity of buying or building your own management tooling to create EKS Distro clusters, configure the operating environment, update software, and handle backup and recovery. EKS Anywhere enables you to automate cluster management, reduce support costs, and eliminate the redundant effort of using multiple open source or 3rd party tools for operating Kubernetes clusters. EKS Anywhere is fully supported by AWS.

Easily store, share, and deploy your container software anywhere. Push container images to Amazon ECR without installing or scaling infrastructure, and pull images using any management tool. Share and download images securely over Hypertext Transfer Protocol Secure (HTTPS) with automatic encryption and access controls. Access and distribute your images faster, reduce download times, and improve availability using a scalable, durable architecture. Amazon ECR is a fully managed container registry offering high-performance hosting, so you can reliably deploy application images and artifacts anywhere. Meet your organization’s image compliance security requirements using insights from common vulnerabilities and exposures (CVEs) and the Common Vulnerability Scoring System (CVSS). Publish containerized applications with a single command and easily integrate your self-managed environments.

Connect and manage applications across clusters, clouds, and data centers. Coordinate app connectivity across heterogeneous infrastructure from a single management plane. Integrate traditional workloads into your cloud-native application infrastructure. Create tenants within your business to define fine-grained access control and editing rights for teams on shared infrastructure. Audit the history of changes to services and shared resources from day zero. Automate traffic shifting across failure domains before your customers notice. TSB sits at the application edge, at cluster ingress, and between workloads in your Kubernetes and traditional compute clusters. Edge and ingress gateways route and load balance application traffic across clusters and clouds while the mesh controls connectivity between services. A single management plane configures connectivity, security, and observability for your entire application network.

The open-source control plane for service mesh, delivering security, observability, routing and more. Built on top of Envoy, Kuma is a modern control plane for Microservices & Service Mesh for both K8s and VMs, with support for multiple meshes in one cluster. Out of the box L4 + L7 policy architecture to enable zero trust security, observability, discovery, routing and traffic reliability in one click. Getting up and running with Kuma only requires three easy steps. Natively embedded with Envoy proxy, Kuma Delivers easy to use policies that can secure, observe, connect, route and enhance service connectivity for every application and services, databases included. Build modern service and application connectivity across every platform, cloud and architecture. Kuma supports modern Kubernetes environments and Virtual Machine workloads in the same cluster, with native multi-cloud and multi-cluster connectivity to support the entire organization.

Describe all of your cloud native infrastructure and manage as a pattern. Design your service mesh configuration and workload deployments. Apply intelligent canary strategies and performance profiles with service mesh pattern management. Assess your service mesh configuration against deployment and operational best practices with Meshery's configuration validator. Validate your service mesh's conformance to Service Mesh Interface (SMI) specifications. Dynamically load and manage your own WebAssembly filters in Envoy-based service meshes. Service mesh adapters provision, configure, and manage their respective service meshes.

Founded in 2017, Rafay transforms compute infrastructure into AI platforms, self-service cloud environments, and revenue-generating services — for enterprises, neoclouds, and sovereign AI clouds. From the moment hardware is racked — GPUs, VMs, bare metal, or any compute type — Rafay makes it immediately productive. Enterprises get developer self-service, AI workload delivery, and governance at scale. Cloud providers and sovereign clouds get the complete platform to launch AI services and monetize compute investment, including Token Factory for token-metered AI delivery and SLURM-as-a-Service for elastic HPC. Rafay is the only NVIDIA-certified reference architecture for GPU infrastructure delivery. GigaOm Leader and Outperformer, Kubernetes and AI Infrastructure Management, 2025.

DROPS is a release management tool designed to simplify, secure, and centralize the deployment of applications across data centers, hybrid, and multi-cloud infrastructures. It supports a wide range of platforms, integrates seamlessly with various CI/CD pipelines, and offers both agent-based and agentless operations. With features like full-stack release management, automated infrastructure provisioning, and 24/7 availability, DROPS aims to streamline deployment processes and ensure consistent, reliable delivery. The tool is flexible enough to manage both legacy and modern applications, catering to diverse enterprise needs. Select agent-based or agentless operation. No need for agent installation and management. DROPS adapts to your configuration and if agents are needed, they are provisioned automatically. Plan and organize your application deployment from the web console with no scripting needed. Ease collaboration between stakeholders and technical teams.

Accelerate your development by using a storage layer that works natively with your Kubernetes environment. Focus on running your application, while we make sure you have the persistent volumes that give you the scale and stability you need. Reduce complexity and increase efficiency in your app modernization journey by truly integrating stateful storage into Kubernetes. Run your database or any persistent workload in a Kubernetes environment without having to worry about managing the storage layer. Ondat gives you the ability to deliver a consistent storage layer across any platform. We give you the persistent volumes to allow you to run your own databases without paying for expensive hosted options. Take back control of your data layer in Kubernetes. Kubernetes-native storage with dynamic provisioning that works as it should. Fully API-driven, tight integration with your containerized applications.

Deep Learning Containers are Docker images that are preinstalled and tested with the latest versions of popular deep learning frameworks. Deep Learning Containers lets you deploy custom ML environments quickly without building and optimizing your environments from scratch. Deploy deep learning environments in minutes using prepackaged and fully tested Docker images. Build custom ML workflows for training, validation, and deployment through integration with Amazon SageMaker, Amazon EKS, and Amazon ECS.