MySQL Workbench vs. Splunk Observability Cloud

It is good software when we have to connect the database of the remote server but it is not as good as phpMyAdmin. When local server is concerned, phpMyAdmin is way better because it has more cleaner UI than Workbench. Workbench is preferred only because phpMyAdmin does not support the connection of remote servers.

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Its great if you need real-time visibility across complex or regulated environments. Also strong for hybrid or multi-cloud setups where uptime, observability and fast IR are required. It’s probably overkill for smaller teams or environments that don’t have constant changes or compliance reporting needs. It's expensive and has a steep learning curve. Also, in my opinion, do not get yourself into a consumption based model. Costs can certainly get out of control quickly.

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• Readily available too for quick and easy SQL queries
• Maintains upgrades
• Works across multiple OS platforms

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• The first one is its Kubernetes container monitoring.
• I really like this features because as we know how much K8s is vast and to manually monitor each part of the Kubernetes it takes so much time but Splunk Observability Cloud makes it easier. And even once we integrate K8s with Splunk Observability Cloud it gives us some prebuilt dashboards which gives holistic view of our Cluster and its nodes, pods, etc.
• The dashbaord feature of Splunk Observability Cloud, it gives us full flexibility to customize our dashboard with a wide range of predefined chart types.
• Now it also supports OTEL, which is a plus point for observability. As now everyone is moving towards Otel and in current market there are only few tools who supports OTEL based integrations, Splunk Observability Cloud is one out of them.

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• There are a lot of menus, some of them aren't needed or users who only need to send queries. I had to watch a videos on youtube to learn how to use workbench. It would be great to have some videos inside software (or links to videos on youtube)

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• You can use table-like functionality to generate dashboards, but these queries are heavy on the system.
• It could be easier to give insight into what type of line parsing is used for specific documents in a company-managed environment and/or show ways to gain the insights needed.
• I would like to see ways to anonymize specific data for shared reports without pre-formatting this in a dashboard on which reports could be based.

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Good: Stable system with low error rate Easy to use for simple use cases Bad: UI is not very clear for complex usage Mobile view (when logged in from phone) is bad No library for .net

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MySQL Workbench is useful for specifically remote databases. Remote databases generally does not have any UI and we have to connect the server via SSH and on CLI, we write the queries and it shows the data, which is quite tiering and more prone to make mistakes whereas MySQL Workbench provides cleaner way to connect and provides lot of tools, so that we do not have to write queries all the time.

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When there is an issue, it’s a win if one can easily identify the root cause. To do the same, it should allow the user to dig deep with multiple data points and compare the data and identify the anomaly. In this use case, it’s good to drive from Splunk 011y.

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Splunk support is very quick and efficient. Pre-sale specialists are very skilled and available.

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Follow a training before starting.

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It's like comparing a VW to an performance car like a Ferrari. If you need the performance, bells and whistles you'll want PhpStorm. If you just need to get from one place to another, MySQL Workbench will do just fine.

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Splunk Infrastructure Monitoring provides far superior options for anybody using a complex hybrid multi-cloud environment and allows both your SOC and NOC to work together on the same data while driving their own insights. We found other products are still in the old world view of servers and agents residing together within a single data centre, but modern apps are no longer like this.

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• It provides good features and saves the time.
• When we use remote server, we can connect without using ssh etc. so saves the time and easy to understand.
• Do not have to write the queries to check the schema, so saves the time.

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• Significantly reduced the MTTR (Mean Time To Recovery), which in turn has improved the end-user experience tremendously.
• Meets compliance requirements of security policies, audit, regulation, and forensics.
• Helps us to track/manage the resource usage on our cloud instances which has a direct implication on the recurring cost.

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