helmfile VS istio

sudo wget https://github.com/helmfile/helmfile/releases/download/v0.159.0/helmfile_0.159.0_linux_amd64.tar.gz sudo tar -xxf helmfile_0.159.0_linux_amd64.tar.gz sudo rm helmfile_0.159.0_linux_amd64.tar.gz sudo mv helmfile /usr/local/bin/

Installation: https://github.com/helmfile/helmfile/releases

What are the benefits over using helmfile? https://helmfile.readthedocs.io/

Helm charts and Helmfile

And now I can just run dudo -l "https://github.com/helmfile/helmfile/releases/download/v{{ version }}/helmfile_{{ version }}_{{ os }}_{{ arch }}.tar.gz" -i /tmp/helmfile.tar.gz -p $HELMFILE_VERSION

I might be misunderstanding your question but we use https://github.com/helmfile/helmfile along with Argo, so essentially between eks and those I could rebuild our entire cluster in minutes.

I am asking which do you choose, Flux or Helmfile. edit: and what criteria do you use to select.

do you publish your own helm chart for your internal services and use it in every environment? if so, you could try to use helmfile within the service's repo itself and store values in a helm/$env directory. then enhance your ci to deploy to dev after the merge/image build phase directly. to try and cut out what sounds like a "deployment/config repo" step you have in the middle that's making everything a pain.

I've used helmfile before to declaratively manage multiple helm charts. It's a higher-level tool, and still uses helm under the hood.

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.