Best Container Engines for Splunk Enterprise

Compare the Top Container Engines that integrate with Splunk Enterprise as of October 2025

This a list of Container Engines that integrate with Splunk Enterprise. Use the filters on the left to add additional filters for products that have integrations with Splunk Enterprise. View the products that work with Splunk Enterprise in the table below.

What are Container Engines for Splunk Enterprise?

Container engines are software platforms that facilitate the creation, deployment, and management of containers in a computing environment. Containers are lightweight, portable, and consistent units of software that include everything needed to run an application, such as the code, libraries, and system tools. Container engines enable developers to package and isolate applications in a way that allows them to run uniformly across different environments, making them ideal for cloud, microservices, and DevOps workflows. These engines typically support features like container orchestration, scalability, resource management, and container lifecycle management. Compare and read user reviews of the best Container Engines for Splunk Enterprise currently available using the table below. This list is updated regularly.

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    Cloud Foundry

    Cloud Foundry

    Cloud Foundry

    Cloud Foundry makes it faster and easier to build, test, deploy and scale applications, providing a choice of clouds, developer frameworks, and application services. It is an open source project and is available through a variety of private cloud distributions and public cloud instances. Cloud Foundry has a container-based architecture that runs apps in any programming language. Deploy apps to CF using your existing tools and with zero modification to the code. Instantiate, deploy, and manage high-availability Kubernetes clusters with CF BOSH on any cloud. By decoupling applications from infrastructure, you can make individual decisions about where to host workloads – on premise, in public clouds, or in managed infrastructures – and move those workloads as necessary in minutes, with no changes to the app.
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