Docker vs. Palo Alto Networks Prisma Cloud

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

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Finding specific Cloud Vendor specific Cloud resource configuration, tags, network information and etc. is fairly easy to do. Cloud alert capabilities are pretty good and with proper knowledge top notch alerts can be created. Only downside I can think of is ease of use.

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• Packaging of application to limit the space occupied
• Ease of running the application
• Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc

• Vulnerability assessment using Twistlock
• Enhancing Security by scanning workload based on different Security standards and provide a compliance report
• CF template integration with CI/CD pipeline to identify any security issue before workload are deployed
• IAM/UEBA features additional to enchaining security posture
• Auto remediation
• Integration is simple and solution is supported on multiple cloud
• Customized dashboard/queries

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• Docker hub image retention policy can be relaxed
• Docker hub policies can be more developer friendly
• Docker CLI help section can be improved
• Image and container storage (local) management can be optimized

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• Real-time supports would be much appreciated. At the moment they have a third-party ticketing support tool, which can be replaced with real-time support, which can be provided to the user at the time of the issue.
• The user should be provided with all the learning material by the Palo Alto team at the time of license purchase. This would save a lot of users' time, which is taken up by research and finding the correct documents from the website.
• Themes can be introduced in the feature set, which would help the user customize the software as per their needs.

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I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

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It is no doubts about their functionalities and top-notch security features. The Products do really well in their every feature and gives you complete visibility to your valuable Data at all. The Support for the Palo Alto Networks Prisma Cloud is also one of the plus point where you gain the confidence into the product.

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Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

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Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

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The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.

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Prisma Cloud stacks well with other similar Palo Alto products. UI is beautiful, has decent documentation and some trainings as in other platforms.

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It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

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• Reduces the number of virtual machine which impacted our quarterly billing
• Using docker with proxy we run multiple application on same port on same host.
• impact on billing is we have to provide docker training to the people who are working on it.

• Help reduce the cost by assisting what resources can be removed according to usage.
• Report the vulnerabilities.
• Time saved in investigating the issue.

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