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AppSignal
AppSignal

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Honeycomb
Honeycomb

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AppSignal vs Honeycomb: 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, Honeycomb is detailed 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.

AppSignal and Honeycomb 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, Honeycomb provides the following key features:

  • High-performance querying against high-cardinality or sparse events.
  • Accepts any structured JSON objects with a write key.
  • Submit events via API.
- No public GitHub repository available -
- No public GitHub repository available -

What is AppSignal?

AppSignal gives you and your team alerts and detailed metrics about your Ruby or Elixir application. Sensible pricing, no aggressive sales & support by developers.

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.
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        What are some alternatives to AppSignal and Honeycomb?
        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.
        Scout
        Scout is application monitoring that points developers right to the source of problems: N+1 database queries, memory bloat, performance trends, and more. Scout eliminates much of the investigation part when performance woes occur.
        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.
        AppDynamics
        AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.
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        Decisions about AppSignal and Honeycomb
        Sebastian G臋bski
        Sebastian G臋bski
        CTO at Shedul/Fresha | 4 upvotes 300.6K views
        atFresha EngineeringFresha Engineering
        CircleCI
        CircleCI
        Jenkins
        Jenkins
        Git
        Git
        GitHub
        GitHub
        New Relic
        New Relic
        AppSignal
        AppSignal
        Sentry
        Sentry
        Logentries
        Logentries

        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).

        See more
        Robert Zuber
        Robert Zuber
        CTO at CircleCI | 8 upvotes 218.6K views
        atCircleCICircleCI
        Datadog
        Datadog
        PagerDuty
        PagerDuty
        Honeycomb
        Honeycomb
        Rollbar
        Rollbar
        Segment
        Segment
        Amplitude
        Amplitude
        PostgreSQL
        PostgreSQL
        Looker
        Looker

        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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