Google Compute Engine vs. SolarWinds Database Performance Analyzer

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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This is an easy 10 because I actually have recommended this product to multiple clients and colleagues! Any shop that writes its own SQL queries will benefit from the insight provided by SolarWinds Database Performance Analyzer, so they know which of their queries is causing a bottleneck. Small shops or databases with only a few tables likely will see far fewer opportunities for optimization.

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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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• Maintains historical SQL execution data, enabling forensic analysis
• Has the ability to slice and dice the data so that you can drill down to the execution of a single SQL statement being executed by a stored procedure
• Alerts to when the consumption pattern changes
• Shows historical average run times against the current, illustrating problems when they arise
• Provides tuning advice based on best practices

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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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• Alerts seem to be lacking in DPA compared to competitor's tools. They can be setup but are not quite as easy or as helpful as some other tools I have used.
• Grooming/pruning the repository database isn't very easy. We don't manage a lot of instances but our repo DB has grown pretty significantly.
• At times when I am drilled-down to a chart, it can be difficult to navigate around from that point to another time range/query/metric.

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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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We have relied on this product for a very long time and it continues to exceed expectations. The product is a vital part of our organization at this point, it would not be very ideal for us to abandon it. We use it almost every day and depend on its alerts for critical parts of our business

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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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I don't want to think about managing clusters of SQL servers in the future without this tool. We have demoed other tools and SolarWinds Database Performance Analyzer is the gold standard for usability and insight into what your servers are doing. The UI is a bit dated, but everything is laid out in a logical manner and drilling down into queries or timeslices is extremely intuitive.

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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 have had to use their support on a few occasions, for reasons that I am not clear about until recently I have always had problems upgrading the software (although the last 2 updates have gone without issue which I am very pleased to say). On those unfortunate occasions, the support has been brilliant with either excellently documented guides on how to resolve the issue by myself or have been hands-on with calls and screen sharing to remotely fix the issue. Every time the problem was sorted and more importantly, nothing was lost (apart from a bit of time). And as I stated above whatever the problem was that was causing my upgrade issues appears to have been resolved in the last 2 updates.

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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

Follow the guidelines for the capacity of the servers. We found that the DPA databases were getting rather large and also that there are ways to reduce their size built into some of the options.

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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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At the time, we found SolarWinds Database Performance Analyzer to be easier to setup and to have a richer feature set than Redgate SQL Monitor, plus, from what I remember, the DPA pricing worked better for us over the course of a year. We're very happy with all the features DPA has to offer.

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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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• It has allowed us to progress as an organization with much less reliance on a direct DBA than would traditionally be required
• Allowed us to be much more proactive in our performance monitoring and responding to issues that would affect users.

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Independently Invited by TrustRadius

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