goss VS istio

Certain checks may be possible with goss and the kgoss wrapper: https://github.com/goss-org/goss/tree/master/extras/kgoss

Docker would work. I suggest also integrating infrastructure tests to validate your install script behaved as expected. For example, you could use goss.

I've used https://github.com/goss-org/goss in the past and enjoyed it

To answer my own question... https://github.com/goss-org/goss looks like it might do the job - at least for Linux. Windows support is alpha - and there isn't a wealth of CIS benchmarks. Might be a good project to contribute to

Adding an extra layer of security on the container image to verify if it is working as expected and has all required files with correct permissions. We can use dgoss to do validation tests of container images.

Bit of a strange one here - Goss. This is a testing tool that we use on all of our servers to validate they are working as expected. Think of it as a sanity check after changes. We have a set of tests setup that validate that the server is working as expected and we run it automatically after any change.

check out https://github.com/aelsabbahy/goss

Use GOSS, a YML-based open-source tool that can assert the test results (i.e., verifying if the SSH port 22 is closed or not).

AWS EKS provides a managed Kubernetes service, simplifying cluster management and deployment. Istio, an open-source service mesh, enables traffic management, security, and observability across microservices.

Istio is a popular open-source service mesh framework that provides a comprehensive solution for managing, securing, and observing microservices-based applications running on Kubernetes.

Leverage a service mesh like Istio or Linkerd to manage communication between microservices within the Kubernetes cluster. These service meshes can be configured to intercept JMX traffic and enforce access control policies. Benefits:

Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms.

Consider the case of Bookinfo, a sample application provided by Istio, rewritten using CloudWeGo's Kitex for superior performance and extensibility.

It is a dedicated infrastructure layer that manages service-to-service communication, providing features like load balancing, encryption, authentication, and monitoring. Istio deploys sidecar proxies alongside each microservice instance. These proxies handle communication, providing features like load balancing, service discovery, encryption, monitoring and authentication.

5Y old post that sounds like they've done similar here: Caddy Issue Istio Issue but doesn't cover much of the implementation

In a production environment there will be a load balancer setup with an Ingress Controller, Service Mesh or some type of Custom Router. This allows all traffic to be sent to the single load balancer IP address and then route the traffic to a service based on the Domain name or subpath. We are using a NGINX ingress controller but service meshes like Istio have been becoming the most popular solution to use as they offer more segmentation, security and granular control.

Flagger is a progressive delivery tool that enables a Kubernetes operator to automate the promotion or rollback of deployments based on metrics analysis. It supports a variety of metrics including Prometheus, Datadog, and New Relic to name a few. It also works well with Istio service mesh, and can implement progressive traffic splitting between primary and canary releases.