AppSignal vs SignalFx: What are the differences?
Developers describe AppSignal as "Monitoring for Ruby and Elixir. By developers, for developers". AppSignal gives you and your team alerts and detailed metrics about your Ruby or Elixir application Sensible pricing, no aggressive sales & support by developers.. 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.
AppSignal and SignalFx can be categorized as "Performance Monitoring" tools.
Some of the features offered by AppSignal are:
- Track errors
- Performance Monitoring
- Compare deploys. Monitor background jobs.
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
According to the StackShare community, AppSignal has a broader approval, being mentioned in 24 company stacks & 5 developers stacks; compared to SignalFx, which is listed in 4 company stacks and 3 developer stacks.
What is AppSignal?
What is SignalFx?
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Regarding Continuous Integration - we've started with something very easy to set up - CircleCI , but with time we're adding more & more complex pipelines - we use Jenkins to configure & run those. It's much more effort, but at some point we had to pay for the flexibility we expected. Our source code version control is Git (which probably doesn't require a rationale these days) and we keep repos in GitHub - since the very beginning & we never considered moving out. Our primary monitoring these days is in New Relic (Ruby & SPA apps) and AppSignal (Elixir apps) - we're considering unifying it in New Relic , but this will require some improvements in Elixir app observability. For error reporting we use Sentry (a very popular choice in this class) & we collect our distributed logs using Logentries (to avoid semi-manual handling here).