Google Compute Engine vs. Salesforce Lightning Platform

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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We use Salesforce Lightning Platform in everyday business as sales coordinators. By using this tool, we are able to send new requests to clients and communicate regarding pending proposals in real-time. This also tool holds many of our client accounts where we are able to monitor their sales and revenue.

• 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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• Reporting and Dashboards are thorough and can show a wealth of important data to inform and scale processes. It's helpful in a high volume sales cycle to be able to quickly identify weak points in performance and productivity so that adjustments can be made.
• Highly customizable. We are able to customize just about everything which allows us to track very specific things and in theory create better efficiency.
• Parent/Child account hierarchy exists which is helpful.
• Contact records can be associated with multiple accounts and opportunities. This, in theory, should minimize duplicates and mismanagement of contacts.
• Console helps a lot with data nesting. Having a fairly comprehensive look at an account without searching through various tabs and sections speeds up an otherwise cumbersome platform.

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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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• Can be cumbersome: takes multiple clicks to get where you need to go
• Lightning is slower than original Salesforce, and it is very noticeable
• The UI change means sometimes I can't find what I need, so I have to switch back to the Classic version to find it

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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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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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UI can be quite complex, but the more that is required will bring more complexity. Can handle complexity and variety very well, but makes ground-level views harder when not knowing full extent of functionality. Finding new functionalities can be difficult to pinpoint on some pages

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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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Salesforce's support is top-notch. They have subject-matter experts that are accessible at all times to address needs as they come up. They let you know in advance when there are system updates and enhancements so that you are prepared for upcoming changes. I've never had an issue that wasn't addressed immediately when reaching out for support.

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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 were previously using an older version prior to it becoming Salesforce Lightning Platform so we were well adverse on the advantages of using a CRM, to begin with. It made sense to convert to Salesforce Lightning Platform after we were given a free trial of the platform. Certain reps were chosen to experiment with it and from there a decision was made to move forward. We've been customers ever since.

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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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• Better visibility of Accounts and Contacts interactions makes it easier to maintain during employee transitions.
• Tracking of current jobs and relating them to past jobs is very useful.
• More efficient use of Sales Reps time.
• Sales Managers have good visibility into how their people are working.

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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