What Integrates with Amazon EKS?
Find out what Amazon EKS integrations exist in 2025. Learn what software and services currently integrate with Amazon EKS, and sort them by reviews, cost, features, and more. Below is a list of products that Amazon EKS currently integrates with:
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ThreatStryker
Deepfence
Runtime threat assessment, runtime attack analysis, and targeted protection of your infrastructure and applications. Zero-day attacks can be stopped by staying ahead of attackers. Observe attack behavior. ThreatStryker monitors, correlates, learns, and acts to protect your applications. Deepfence ThreatStryker displays a live, interactive, color-coded view on the topology and all processes and containers running. It inspects hosts and containers to find vulnerable components. It also interrogates configuration to identify file system, processes, and network-related misconfigurations. ThreatStryker uses industry and community standards to assess compliance. ThreatStryker conducts a deep inspection of network traffic, system behavior, and application behavior and accumulates suspicious events over time. The events are classified and correlated with known vulnerabilities and suspicious patterns. -
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ThreatMapper
Deepfence
Open source, multi-cloud platform to scan, map, and rank vulnerabilities in containers, images hosts, repositories, and running containers. ThreatMapper detects threats to your applications in production across clouds, Kubernetes and serverless. You cannot secure what you can't see. ThreatMapper automatically discovers your production infrastructure. It can identify and interrogate cloud instances, Kubernetes nodes and serverless resources. This allows you to discover the applications and containers, and map their topology in real time. ThreatMapper allows you to visualize and discover the external and internal attack surfaces for your applications and infrastructure. Bad actors can gain access to your infrastructure by exploiting vulnerabilities in common dependencies. ThreatMapper scans hosts and containers for known vulnerable dependencies. It also takes threat feeds from more than 50 sources. -
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Kubestack
Kubestack
The need to choose between the ease of a graphical user interface and the robustness of infrastructure as code is now a thing of the past. With Kubestack, you can effortlessly create your Kubernetes platform using an intuitive graphical user interface and subsequently export your tailored stack into Terraform code, ensuring dependable provisioning and ongoing operational sustainability. Platforms built with Kubestack Cloud are transitioned into a Terraform root module grounded in the Kubestack framework. All components of this framework are open-source, significantly reducing long-term maintenance burdens while facilitating continuous enhancements. You can implement a proven pull-request and peer-review workflow to streamline change management within your team. By minimizing the amount of custom infrastructure code required, you can effectively lessen the long-term maintenance workload, allowing your team to focus on innovation and growth. This approach ultimately leads to increased efficiency and collaboration among team members, fostering a more productive development environment. -
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AWS Deep Learning Containers
Amazon
Deep Learning Containers consist of Docker images that come preloaded and verified with the latest editions of well-known deep learning frameworks. They enable the rapid deployment of tailored machine learning environments, eliminating the need to create and refine these setups from the beginning. You can establish deep learning environments in just a few minutes by utilizing these ready-to-use and thoroughly tested Docker images. Furthermore, you can develop personalized machine learning workflows for tasks such as training, validation, and deployment through seamless integration with services like Amazon SageMaker, Amazon EKS, and Amazon ECS, enhancing efficiency in your projects. This capability streamlines the process, allowing data scientists and developers to focus more on their models rather than environment configuration. -
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Clutch
Clutch
Clutch is tackling the increasingly vital issue of securing non-human identities in today’s enterprises. As digital frameworks grow and evolve, the oversight and safeguarding of non-human identities—including API keys, secrets, tokens, and service accounts—has become a crucial yet frequently overlooked element of cybersecurity. Acknowledging this oversight, Clutch is creating a specialized platform aimed at the thorough protection and management of these identities. Our innovative solution is intended to strengthen the digital infrastructure of organizations, promoting a secure, resilient, and reliable environment for their operations. The proliferation of non-human identities is staggering, outpacing human ones at a ratio of 45 to 1, and these identities hold significant privileges and extensive access that are indispensable for vital automated processes. Moreover, they often lack essential security measures like multi-factor authentication and conditional access policies, which makes their protection even more crucial. Addressing these vulnerabilities is key to ensuring the integrity of automated systems within enterprises.