Amazon RDS Performance Insights vs. Splunk Observability Cloud

When you need to monitor your database at low level metrics such as query load or CPU usage at some point in time. You can also use it to understand which component is a heavy load on your DB. It is a great tool for routine monitoring of your DB and to help plan for capacity. I would not use it as an exclusive source for scaling your DB though since the is not long-term or very granular data to be able to run a thorough analysis on peaks of predictive analysis.

Incentivized

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.

Incentivized

• RDS Infrastructure Metrics
• RDS Logical Metrics
• Real time visualization of query load
• Identify Performance Bottlenecks
• Historical Performance Analysis of load

Incentivized

• 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.

Incentivized

• Easier way to identify to which service the query comes from
• Easier way to identify correlation between metrics
• More customization, right now it is too restricted
• The interval could be smaller between data points for peaks of usage

Incentivized

• 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.

Incentivized

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

Incentivized

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.

Incentivized

Amazon RDS Performance Insights is a out of the box plug and use solution for AWS with a press of a button, whereas Prometheus would require a lot of configuration and deployment and the learning curve is slower, making it not so user friendly. Datadog on the other hand offers similar capabilities but at a much higher cost. With that in mind, Amazon RDS Performance Insights is the choice to integrate with your AWS services quickly and affordably.

Incentivized

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.

Incentivized

• Help Optimize Query and app performance
• Help better plan capacity for the DB
• Improved the company capacity on troubleshooting problems in DBs

Incentivized

• 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.

Incentivized