Azure Kubernetes Service (AKS) vs. Kubernetes vs. Quali CloudShell

AKS works very well for running containerized applications that require high availability and scalability. This includes systems like our HRIS platform and customer-facing web applications. AKS is a good choice when applications are broken into multiple services that need independent scaling and deployment. It provides the flexibility needed to manage these architectures effectively. But for single, low-traffic applications or simple internal tools, AKS can be overkill. For scenarios like that Azure App Service would be better.

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K8s should be avoided - If your application works well without being converted into microservices-based architecture & fits correctly in a VM, needs less scaling, have a fixed traffic pattern then it is better to keep away from Kubernetes. Otherwise, the operational challenges & technical expertise will add a lot to the OPEX. Also, if you're the one who thinks that containers consume fewer resources as compared to VMs then this is not true. As soon as you convert your application to a microservice-based architecture, a lot of components will add up, shooting your resource consumption even higher than VMs so, please beware. Kubernetes is a good choice - When the application needs quick scaling, is already in microservice-based architecture, has no fixed traffic pattern, most of the employees already have desired skills.

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• LaaS
• IaaS
• PaaS
• CRaaS
• Training
• DevOps
• DevSecOps
• Demo Portals
• TaaS

Almost any workflow and any infrastructure are supported.

• AKS makes it easier to replicate data to multiple regions
• Azure portal make it easier to manage the resources of the organization

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• Complex cluster management can be done with simple commands with strong authentication and authorization schemes
• Exhaustive documentation and open community smoothens the learning process
• As a user a few concepts like pod, deployment and service are sufficient to go a long way

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• Self service single pane of glass for any workflow and infrastructure
• Complete lifecycle management of your workflow and infrastructure
• Vendor agnostic cloud, service, application, appliance support

• Steep learning curve
• Expected charges are unclear until you see real production usage
• Operations teams need to learn an entirely new skill set

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• Local development, Kubernetes does tend to be a bit complicated and unnecessary in environments where all development is done locally.
• The need for add-ons, Helm is almost required when running Kubernetes. This brings a whole new tool to manage and learn before a developer can really start to use Kubernetes effectively.
• Finicy configmap schemes. Kubernetes configmaps often have environment breaking hangups. The fail safes surrounding configmaps are sadly lacking.

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• Requires SME to get the full ROI first year
• Requires a culture change for Agile Automation
• Price could be less (not cheap)

The Kubernetes is going to be highly likely renewed as the technologies that will be placed on top of it are long term as of planning. There shouldn't be any last minute changes in the adoption and I do not anticipate sudden change of the core underlying technology. It is just that the slow process of technology adoption that makes it hard to switch to something else.

As already said, the UI/CLI and even terraform are perfectly fine, but certain details could be documented better. For instance, if I want to secure the whole Azure Kubernetes Service (AKS) with my own managed keys, then it is very complex and hard to get there. Not really a single source that gives you the whole picture. Besides that, it is still good to use, in most cases intuitive but details mentioned as above can be tricky.

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It is an eminently usable platform. However, its popularity is overshadowed by its complexity. To properly leverage the capabilities and possibilities of Kubernetes as a platform, you need to have excellent understanding of your use case, even better understanding of whether you even need Kubernetes, and if yes - be ready to invest in good engineering support for the platform itself

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Microsoft support was really good, whenever we raise any ticket they come back to us within a couple of hours.

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The tool can automate almost any workflow and infrastructure consumption. It has state of the art develop and support with great online training, online full manual set, and a comprehensive support team and network of SIs/VARS that are very qualified.

Amazon EKS stacked up very well and had better performance in some areas. However, Azure Kubernetes Service was a better fit given our Azure environment.

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Most of the required features for any orchestration tool or framework, which is provided by Kubernetes. After understanding all modules and features of the K8S, it is the best fit for us as compared with others out there.

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VMware is too hard to use, too expensive to support, and not a full lifecycle tool for workflows and Infrastructure (no support of physical either). AWS or Azure or Google solutions are good if you are only in the cloud and only using their tools. Not good if you have on-prem or non-Cloud based tools/infrastructure. Build it yourself automation frameworks can be good for people with unlimited funds, but they are not the best way to go and missing many capabilities typically.

• We had to spend more time on Azure Kubernetes Service (AKS) than on AWS and GCP to get our kubernetes cluster up and running
• The resources on nodes need to be left out unused, so effectively it is wasting money there
• It definitely made us spend more time into maintaining kubernetes

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• Because of microservices, Kubernetes makes it easy to find the cost of each application easily.
• Like every new technology, initially, it took more resources to educate ourselves but over a period of time, I believe it's going to be worth it.

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• Our customers have an average ROI of less than 6 months.
• Our customers renew their maintenance almost 100% of the time.
• It has allowed us to build specific solutions across many use cases enabling us to profit.