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Honeycomb
Honeycomb

19
30
+ 1
0
SignalFx
SignalFx

18
31
+ 1
10
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Honeycomb vs SignalFx: What are the differences?

Developers describe Honeycomb as "Observability for a distributed world--designed for high cardinality data and collaborative problem solving 馃悵馃挅". We built Honeycomb to answer the hard questions that come up when you're trying to operate your software鈥搕o debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys. On the other hand, SignalFx is detailed as "Monitoring and Operational Intelligence for the Cloud". We provide operational intelligence for today鈥檚 elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data.

Honeycomb and SignalFx belong to "Performance Monitoring" category of the tech stack.

Some of the features offered by Honeycomb are:

  • High-performance querying against high-cardinality or sparse events.
  • Accepts any structured JSON objects with a write key.
  • Submit events via API.

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
- No public GitHub repository available -
- No public GitHub repository available -

What is Honeycomb?

We built Honeycomb to answer the hard questions that come up when you're trying to operate your software鈥搕o debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys.

What is SignalFx?

We provide operational intelligence for today鈥檚 elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data
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        What are some alternatives to Honeycomb and SignalFx?
        New Relic
        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.
        Datadog
        Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
        ruxit
        Ruxit is a all-in-one performance monitoring solution for cloud natives. In under five minutes customizable dashboard views show you your application's performance data.
        Librato
        Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.
        AppDynamics
        AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
        See all alternatives
        Decisions about Honeycomb and SignalFx
        Robert Zuber
        Robert Zuber
        CTO at CircleCI | 8 upvotes 106.8K views
        atCircleCICircleCI
        Looker
        Looker
        PostgreSQL
        PostgreSQL
        Amplitude
        Amplitude
        Segment
        Segment
        Rollbar
        Rollbar
        Honeycomb
        Honeycomb
        PagerDuty
        PagerDuty
        Datadog
        Datadog

        Our primary source of monitoring and alerting is Datadog. We鈥檝e got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We鈥檝e definitely scaled past the point where managing dashboards is easy, but we haven鈥檛 had time to invest in using features like Anomaly Detection. We鈥檝e started using Honeycomb for some targeted debugging of complex production issues and we are liking what we鈥檝e seen. We capture any unhandled exceptions with Rollbar and, if we realize one will keep happening, we quickly convert the metrics to point back to Datadog, to keep Rollbar as clean as possible.

        We use Segment to consolidate all of our trackers, the most important of which goes to Amplitude to analyze user patterns. However, if we need a more consolidated view, we push all of our data to our own data warehouse running PostgreSQL; this is available for analytics and dashboard creation through Looker.

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        How developers use Honeycomb and SignalFx
        Avatar of SignalFx
        SignalFx uses SignalFxSignalFx

        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.

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