Google Compute Engine vs. Alfresco

You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

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Easy integration with the external APIs Workflows can be invoked via REST call Wonderful swagger documentation for process REST APIs REST, MULE, CAMEL, Google Drive, and Box features are available with Alfresco Process Services The micro-service version deployment should be well documented and needs improvement

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• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

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• Basic workflows are easy enough for casual users to set up and utilize.
• Cloud sync capability provides a great way to share documents with third parties and to use as a backup system for critical documents.
• Alfresco mobile app makes it easy for those on the road to access, approve and share documents.
• Folder rules are easy to set up and make assignment of metadata easier to automate.

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• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

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• Alfresco Process Services and Alfresco Application Development Framework integration makes for best functionality/application of ECM.
• Use case alignment - Marketing content and documentation of specific business requirements and user stories being available as reference material/documentation.
• Integration with multiple silos for content.

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Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

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As per the current market and the line of products that are available for content and document management system, Alfresco is a very good option compared to other systems in terms of features and cost. Plus the community support is great. Also since the product is open source, it can be extended or understood in a better way.

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Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

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The UI is very intuitive, most of our users figure out how to use the platform by themselves, so there's not much training needed.

You can upload files by using the web drag and drop, WebDAV, FTP, and more.

Most of the platform already works as-is so you can just deploy it using Docker and it's mostly ready to go.

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Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

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It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

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• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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I am not big fan of Alfresco Content Services' support; it works on its own speed and sometimes it becomes challenging to achieve business needs. However, I appreciate regular delivery of security patches and updates

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Process was relatively smooth and overall, downtime minimal. MSI was very responsive to our needs and made the transition easier than it otherwise might have been.

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Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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All software has some pros and some cons. Alfresco has some good pluses, and suits our environment very well. It fit perfectly in the place that we are working on. That is why we decided to go with this software. Overall, the kind of content management that needs to be done in an organization is what would determine which software to use.

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It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

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• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

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• Instant document lookup - No paper files to mail which saves in all areas of postage, truck delivery, physical storage warehouse space, printing, etc
• No longer losing important documents - Previously with paper files things would go missing and those could be costly reports/assessments.
• Ability to secure documents and provide access to only those who should be allowed to see that content

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info