Blackfire.io vs SignalFx: What are the differences?
Developers describe Blackfire.io as "Blackfire Profiler automatically instruments your code to gather data about consumed server resources like memory, CPU time, and I/O". Blackfire achieves a new level of accuracy by aggregating several profile samples and getting rid of non relevant data. Get even deeper and review the interactions with your entire stack (SQL database engines, cache servers, ...). On the other hand, SignalFx is detailed as "Monitoring and Operational Intelligence for the Cloud". We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data.
Blackfire.io and SignalFx belong to "Performance Monitoring" category of the tech stack.
Some of the features offered by Blackfire.io are:
- Profile a page at a mouse click thanks to the Blackfire web browser extension
- Browse through the function calls and identify performance bottlenecks thanks to the Blackfire intuitive UI
- Because Blackfire is only triggered when you profile a request, there is no overhead for other requests
On the other hand, SignalFx provides the following key features:
- Beautiful streaming visualizations
- Meaningful, fast alerting using SignalFlow analytics
- High resolution metrics up to 1 sec
Blackfire.io, Showpad, and Basharsoft are some of the popular companies that use Blackfire.io, whereas SignalFx is used by Clever, SignalFx, and Cadre. Blackfire.io has a broader approval, being mentioned in 7 company stacks & 4 developers stacks; compared to SignalFx, which is listed in 4 company stacks and 3 developer stacks.
What is Blackfire.io?
What is SignalFx?
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What are the cons of using Blackfire.io?
What are the cons of using SignalFx?
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We use SignalFx to monitor all of SignalFx.. that include the entire stack from core services like Cassandra and AWS EC2 up through custom application metrics from SignalFx itself.
Profiling of slow requests. It helps to understand the bootstrapping and the whole requests cycle.