Google Cloud Run vs. SolarWinds Database Performance Analyzer

Microservices and RestFul API application as it is fast and reliant. Seamless integration with event triggers such as pubsub or event arc, so you can easily integrate that with usecases with file uploads, database changes, etc. Basically great with short-lived tasks, if however, you have long-running processses, Cloud Run might not be idle for this. For example if you have a long running data processing task, other solutions such as kubeflow pipelines or dataflow are more suited for this kind of tasks. Cloud Run is also stateless, so if you need memory, you will have to connect an external database.

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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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• Auto scaling is the best one
• provide direct VPC connectivity and rigid network
• Cloud SQL and Pub/Sub services
• Handling latency issues

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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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• The UI can be made simpler. Currently the UI is bloated and it takes time to find out what you want
• More integrations with container registry providers (ECR, dockerhub)
• Better permissions UX. Currently GCP requires service accounts to be used with cloud products, the experience adding/removing permissions is difficult to navigate

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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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We definitely need to renew it because we dont own our own infrastructure and storage and we are happy with Cloud Run features

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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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The UI/console is great... the documentation is top-notch for developers, but the CLI itself when you have to script around it is very complex and easy to forget some options... the downside of a generic command line client.

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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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Not seen any major issues when we run applications its good

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Initially we felt slow but slowly it picked up and easy to manage

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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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I was involved in the initial implementation setup, Its easy with the given documentaiton we can do ourself. Not that critical

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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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AWS Lambda supports code zip package, enabling lower cold start time. Also, AWS Lambda pricing is much simpler, easier to understand.

Other than that, the 2 products are very similar, including the Docker image support: the image must be built based on proprietary base image.

Obviously, if your other services are running in GCP, then Google Cloud Run is your only choice for tight integration, & private networking.

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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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Not part of purchase.

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It has good auto scale feature and reliable also

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We have very good support when needed

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• Built in support for auto scaling helps reduce operational overhead
• Any application performance issues can be addressed quickly by allocating more resources while a proper fix can be planned and rolled out later
• Using Google Cloud Run enables development of microservices which provides granular control for scaling critical services in the platform

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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