To facilitate scalability and resilience, many organizations are running applications in cloud-native environments, with make use of containers and orchestration. Recently, most organizations are using application containers to run their business applications in systems such as Kubernetes and Docker.  In an application container, it is possible to run immutable containers with as little code as is necessary to run the application.

Kubernetes  Orchestrator

An orchestrator automates the process of running different workloads in a cluster of machines. Because Kubernetes workloads run in containers, this book is relevant to Kubernetes security, but it is not a comprehensive treatment of everything related to securing Kubernetes or cloud-native deployments

How to Run Containers

For many people, their main (perhaps only) experience of running containers directly is with Docker. Docker democratized the use of containers by providing a set of tools that developers generally found easy to use. From a terminal, you manipulate containers and container images using the docker command.

Kubernetes uses an interface called the Container Runtime Interface (CRI) beneath which users can opt for a container runtime of their choice. The most commonly used options today are the aforementioned containerd and CRI-O

The main concerns while securing containers are:

  1. Container network traffic
  2. The container host security
  3. Protecting your container management stack
  4. Anomalous behavior within your application
  5. The foundation layers of your application
  6. The build pipeline integrity
  7. Your application security within the container

Securing containers is a continuous process. This could be integrated into your development process, automated to take off the count of manual touchpoints. Then extended into the maintenance and operation of the underlying infrastructure which results in protecting your build pipeline container images and runtime host, platform, and application layers. Implementing security incorporated with the continuous delivery life cycle will mitigate risk and reduce vulnerabilities across an ever-growing attack surface in your business.

Advanced Machine Learning Based Cloud Security Solution
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Advanced Machine Learning Based Web Security Solution
The Prophaze WAF can be deployed in any Public cloud such as AWS, GCP, Azure, Digital Ocean and on Private Cloud instance like Microk8s
100%
The security of your details is important to us. Prophaze Technologies collects a variety of data that you provide directly to us. The types of data we gather will depend upon the services you use, how you use them, and what you choose to provide. We process your details when necessary to provide you with the services that you have requested when accepting our Terms of Services or when we have the legitimate interest(security, testing, analytics, and so on) to do so please checkout our page.
Demo Request Form
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100% Advanced Machine Learning Based Bot Management Solution
Demo Request Form