blackfire.io vs. BlazeMeter vs. Splunk Observability Cloud

Blackfire.io is super helpful in allowing proactive testing of applications before releasing on the production environment. Blackfire.io provides actionable insights to improve code proactively by integration with the development software. Also tracks the live production environment and is able to highlight any loading issues or unusual bounce rates. Blackfire.io also monitors HTTP requests and SQL queries which again help improve efficiency for developers and reduce development time.

Incentivized

It is well suited for applications that are mission-critical or applications that can receive high traffic/transactions at unscheduled time periods. Using the load testing feature of BlazeMeter, we can test and ascertain the capacity of the application without the drawbacks of the usual Apache JMeter load testing which depends heavily on the host system from where the load testing is performed.

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

• Provide details on processes eating up valuable server resources
• Alert against bottlenecks and find bottlenecks
• Performs load tests in code before moving to production environments

Incentivized

• BlazeMeter takes the .jmx script that teams had written for JMeter. The transition from JMeter to BlazeMeter was seamless.
• BlazeMeter offers its own cloud and hence we did not have to set it up on-premise.
• BlazeMeter hits our application from various geographic locations that simulates real life users.

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

• They count same API endpoint AND same method (e.g. POST, OPTIONS, GET etc) as different profiles
• Customer service needs a lot of improvement
• The documentation can be a bit more detailed to remove any scope of doubts

Incentivized

• Blazemeter reporting is very basic and shallow. There is no way to drill down or correlate. I can get better reports by using JMeter for free.
• Blazemeter is very costly. Testing with volumes of more than 1K cu is expensive, and can be done for much cheaper if a company/team is willing to invest a bit of time to figure out how to use cloud instances and jmeter slaves, and to write a basic script to collect resulting xml output.

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

Easy to setup to do API Performance Testing. Dashboard to showcase results Capability to showcase runtime results

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

blackfire.io definitely provides an edge over competing products such as Datadog due to the level of monitoring and analysis it provides. Datadog is a great tool however when evaluating and catching inefficiencies in lower non production environments, blackfire.io provides a level of reporting that were did not find any competing products.

Incentivized

In comparison with Blazemeter the closes competitor is JMeter but it has disadvantages like it is not a tool that can be use as a collaborative tool and works locally in a computer, Blazemeter is in the web so different people can access and run tests or collaborate do add, edit or delete the existent scripts.

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

• Reduce in bugs by 50%, more happy customers
• 2x decrease in load time for the website
• 100% performance validation before production release

Incentivized

• It helped positively by helping to identify the maximum capacity needed for high traffic periods
• Saved revenue by eliminating unwanted duplication of systems

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