Google Compute Engine vs. OpenText MBPM

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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Metastorm is well-suited for scenarios in which internal stress testing an application is needed in a hurry before showcasing it to potential customers. It supports different views of the process from Swimlane perspective, so different methodologies can be handled. It is an Enterprise level tool and handles both small and large projects quite well, although smaller companies may be stressed out by the amount of time it takes to properly maintain the application.

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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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• Complex routing of tasks based on calculated criteria
• Linking between tasks and accessing relevant information
• Organising, scheduling and prioritising
• Different views for different people

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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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• The Metastorm process engine is based on an older version of .NET. Updating to a newer version would resolve several known issues with .NET email functionality.
• Metastorm builds web pages at run time. While the UI presented to the end user is fine, the Document Object Model is convoluted and subject to change with new releases. Providing a more simplified DOM or at very least a custom function to replace document.getElementById() would make client-side scripting a much more powerful tool.
• One function that I've seen Metastorm competitors do well, is email wizards. Having a WYSIWYG email editor would be really nice.

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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There are other products that seem to be a better fit for future initiatives.

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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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Although it is intuitive to use it does require training

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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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Great customer service for an API support related query

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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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We found that OpenText MBPM held its own quite well against IBM BPM. We ended up choosing OpenText MBPM due to the analytics, complex routing, and the ease of SOA service integration. Furthermore, the ability to quickly develop simple User interfaces make this tool a daily component of our most-used toolbox components.

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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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• The development of the ticketing system has enabled us to greatly improve customer relationships
• The scheduling and allocation of the tasks has reduced both the number of open tickets and the turnaround time to resolution
• Management information from the system has improved decision making

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