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Honeycomb
Honeycomb

19
30
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0
ruxit
ruxit

244
14
+ 1
5
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Honeycomb vs ruxit: What are the differences?

Honeycomb: 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; ruxit: Full stack availability and performance monitoring powered by artificial intelligence. 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.

Honeycomb and ruxit can be primarily classified as "Performance Monitoring" tools.

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, ruxit provides the following key features:

  • AI-based analysis
  • Full code-level visibility, including database calls & web service stacks
  • Monitors server resources and availability
- 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 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.
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        What are some alternatives to Honeycomb and ruxit?
        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!
        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.
        Skylight
        Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.
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        Decisions about Honeycomb and ruxit
        Robert Zuber
        Robert Zuber
        CTO at CircleCI | 8 upvotes 115.2K 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 ruxit
        Avatar of Scott Miller
        Scott Miller uses ruxitruxit

        Great monitoring tool with root cause analysis.

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