Google Container Registry vs. Google Kubernetes Engine

As a Cloud Engineer while working on a migration project we used GCR and my experience of using it is actually good the reason behind this is: 1: GCR uses industry-standard encryption to protect your data.2: GCR offers data loss prevention features to help you prevent sensitive data from being leaked or exposed and last but not the least is GCR provides audit logging so you can track who has accessed your data and when, because of these reasons its my go to tool.

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If your application is complex, if it's planet-scale, or if you need autoscaling, then Kubernetes is best suited. If your application is straightforward, you can opt for App Engine or Cloud Run. In many cases, you can prefer to run the cloud on GKE. But once you deploy on Kubernetes, you get the flexibility to try different things. But if you don't seek flexibility, it's not an option for you.

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• Object Immutability feature allows us to protect our code and backups from accidental or malicious changes.
• Data loss prevention feature helps us to prevent sensitive data from being leaked or exposed.
• GCR has support for machine learning which is in my opinion is best .

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• Engine upgrade rollout strategy - well documented and configurable
• Integration with other Google Cloud services like the Compute Engine, SaaS databases, and some cloud networking like Cloud Armor
• Graphical interface for a lot of operations - either for a quick peek/overview or actual work done by administrators and/or developers (via the Google Cloud Console, for example)

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• The one area which i think GCR lacks is that it currently supports a limited number of file types
• The major flaw a felt while working on it is it does not have feature of object versioning and object locking

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• Support of IPv6.
• Better GitOps.
• A "serverless" Kubernetes so we can install Google config connector will be really awesome.
• Container-native load balancers do not support internal TCP/UDP load balancers or network load balancers.

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• Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly
• Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly
• Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files

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Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.

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It is very easy to integrate GCR with other services and I integrated GCR with GKE and Cloud Build. 1: While working on one project I created one pipeline pulls the app's Docker image from GCR and builds the app's Docker image. Deployed that apps image in GKE. 2: Ive stored the data in GCR and that data was being used by cloud Run applications

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GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more Kubernetes features baked in natively.

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• When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence.

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• As a DevOps Engineer , GCR has made a important contribution to my organisation because GCR can be used to store code and assets, which can help to reduce the development time for new projects.
• Using GCR has bee­n a cost-effective solution for us since­ we only pay for the storage we­ actually utilise. This has resulted in significant savings on our cloud storage­ expenses.
• We trust GCR be­cause they prioritise the­ security of our data by utilising industry-standard encryption. This assurance brings us pe­ace of mind, as we know our information is protecte­d.

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• Reduced cloud computing costs.
• Easier management of applications.
• Extra time investment to learn how to setup applications in Google versus Amazon.

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