Google Compute Engine vs. Workday Human Capital Management

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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Large organizations with extensive back-office support functions. With that in mind, WD is a great HCM system for mastering and controlling downstream data and providing strong support. Where WD falls short is the front-end user experience. If your intent is for the average Jane/Joe to use the system, you will find them frustrated or disappointed.

• 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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• I think what it does is not having worked on the side of talent acquisitions. Whenever we have a job interview, for example, you can go right there, you can put in everything in Workday Human Capital Management. If I need to go in and see what a coworker put in or notes all that, I can document everything there in Workday Human Capital Management. I think the other thing that makes it a lot easier is for performance management, goal setting. All these things can be done right there in the platform and it just makes it easier. So to store documents, I can do that. I mean it is like a one-stop shop all in one, so it's excellent.

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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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• Should have more option in time sheet like choose project code or something.
• On The pay page, it should have options to view past salaries; it may be there already but not in the version that I use.
• The employee information page does not have a back button to navigate to the previous page.

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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It is work to make one system the source of truth for our data, but now that it is done, there is less work involved in staying on this path. This means for us that maintaining and/or implementing new modules like performance, finance, talent, etc. is simple. It's a no-brainer

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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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Workday's on a great path in terms of user experience. Their goals is to deliver a use experience that doesn't require training or instruction, like Amazon on the consumer side for example. That's hard to do when you're talking about complex business processes and important and sensitive employee information, but they're doing it well

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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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In 2014, Workday has changed the update process. There will be two updates a year; the updates will be delivered to customers typically in a 24 hour window during these two weekends a year. They also keep the Community up-to-date about any planned outages, etc. There is weekly scheduled downtime on Friday night.

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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From my perspective, the system runs like a well oiled machine and I have not had any issues with customers complaining about speed. If a report is taking long to run, the report can run in the background and you can go about your business. For larger enterprises, there is additional space and machines to process the application in what Workday refers to it as Extended Configuration Tenant

• 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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Workday is still learning about the needs of higher education. I have seen rapid improvement in support and knowledge over the last year so am confident this will continue to improve. Overall however, I have found the Support Team to be extremely responsive and Workday offers the advantage of having support across several timezones so that we never wait more than a few hours for a response.

Some training is offered online. Cost is per-person. This also gets quite expensive. Training doesn’t follow a logical path A to B. Starts in middle. When you try to do it afterwards at your desk, difficult.
• Training scenarios are not very real

I have done for report writing and mass imports (EIBs). They give materials and you run through examples, i.e. you don’t just watch them do tasks, so that is helpful. Training is expensive – a single reporting writing class is $600 per person for virtual training

It was implemented before my joining the company. At my last company, we used Workday professional services.

Based upon my experience at my last company, I would rate the implementation experience an 8/10. There are different ways to set things up and we had different people telling us different things. It set us back a couple of times.

Regarding configuration advice, we could set things up where every manager has supervisory organizations, or have it financially based i.e. aligned to cost center/department. We chose the individual manager path and I think we should have chosen a department route. Going down the individual manager path, to maintain the information, we have to inactivate a supervisory org whenever a manager changes/leaves.

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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Workday is an incomplete product, by this I mean it must work alongside other products and does not work by itself. Trying to make several different products work smoothly together becomes very challenging. As compared to ADP products, when purchased all together work very well all together. Also, ADP has extensive Training programs and extensive Customer Support. So ADP's products are far superior to Workday's products in my opinion.

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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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Workday has released Financials and is continuing to develop it's Human Capital Management footprint with the addition of Workday Recruiting. I think customers will find that is easy to add on additional functionality in the system. Workday does make it easy for customers to make changes without relying on IT resources. The Business Process framework is a visual tool that allows functional resources to make changes and see the flow of the transaction

• 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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• To get the most value out of all possible automation in Workday you really need to use a lot of their modules, otherwise you may not be able to solve for some pretty important and necessary needs.
• The system maintenance is way more than what I have seen with some other systems and therefore you need a quite large team dedicated to it.
• The ability to automate a lot of administrative tasks and the ability for employee and manager self-service definitely create a lot of opportunity for HR to spent time and effort elsewhere. A lot of the automation that can be leveraged in Workday also allows for eliminating third party vendors as well as the cost of their maintenance and integrations.

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