Percepio Tracealyzer vs. Splunk Observability Cloud

This is a perfect tool to debug complex bugs in your system, especially in regards to inter-task communication. It is also a great tool for beginners, as the documentation is accessible and the support given by the company is excellent

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

• Great visualization
• Sometimes awkward views (vertical vs horizontal)

• 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

• It's not always easy to include/integrate Tracealyzer in the OS build. It would be nice to have a simple install/plug n play method for our target.
• Sometimes, the .bin files from Tracealyzer don't always work and we don't know why

• 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.

Incentivized

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

Incentivized

Follow a training before starting.

Incentivized

While we started using uCOSIII for our simpler microcontroller products, we also use QNX on more complex targets (full microprocessors) and it is a much more complex platform offering event tracing, memory tracing, and performance measures that are extremely good and integrated. More importantly these tools are fully integrated without any code changes. Tracealyzer is not integrated as much into uCOSIII like QNX's tools, debugger, etc. But, going thru the manual work of adding Tracealyzer to the build, it did help us get to a shippable product.

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

• Positive: We were able to find some thread priority issues with Tracealyzer.
• Positive: we were able to see timing of events in the sw/hw that we couldn't otherwise see.

• 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