Dashbird vs New Relic: What are the differences?
Developers describe Dashbird as "Monitoring and troubleshooting for serverless applications". Dashbird gives full visibility into serverless architectures. Failure detection, monitoring and debugging capabilities for AWS Lambda and event sources. Get up and running in 5 minutes without any performance overhead or code changes. On the other hand, New Relic is detailed as "SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps". New Relic is the all-in-one web application performance tool that lets you see performance from the end user experience, through servers, and down to the line of application code.
Dashbird and New Relic can be categorized as "Performance Monitoring" tools.
Some of the features offered by Dashbird are:
- Full text search
On the other hand, New Relic provides the following key features:
- Performance Data Retention
- Real-User Response Time, Throughput, & Breakdown by Layer
- App Response Time, Throughput, & Breakdown by Component
I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.
In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.
The reasons why we chose Datadog over NewRelic were:
- The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
- The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
- The UI of Datadog is more compact and my experience is smoother.
- The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
- The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.
Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.
I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).
The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight
NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon
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Free Heroku add-on. Not particularly useful for us. Rails profilers tend to do a better job at the app level. And I can never really figure out what’s going on with Heroku by looking at New Relic. I don’t know if we’re just not using New Relic correctly or if it really does just suck for our use case. But I guess some insight is better than none.
How do you know what parts of the workflow need improvement? Measure it. With New Relic in place, we have graphs of our API performance and can directly see if a server or zone is causing trouble, and the impact of our changes. There’s no comparison between a real-time performance graph and “Strange, the site seems slow, I should tail the logs”.
We monitor and troubleshoot our app's performance using New Relic, which gives us a great view into each type of request that hits our servers. It also gives us a nice weekly summary of error rates and response times so that we know how well we've done in the past week.
I'm trying to wring more instrumentation out of New Relic as it pertains to Rack, but for the time being, New Relic is monitoring/alerting uptime and some basic performance metrics.