Honeycomb聽vs聽LogicMonitor

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Honeycomb
Honeycomb

19
30
+ 1
0
LogicMonitor
LogicMonitor

16
25
+ 1
12
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Honeycomb vs LogicMonitor: 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; LogicMonitor: SaaS-based, automated IT performance monitoring platform for On-Premise, Hybrid, and Cloud infrastructures. LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures.

Honeycomb and LogicMonitor can be categorized 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, LogicMonitor provides the following key features:

  • Full Stack Performance Monitoring
  • Pre-configured monitoring, with built-in alert thresholds, for 1000+ technologies
  • Works with any Deployment Model: On-prem, Hybrid, & Hybrid Cloud
- No public GitHub repository available -
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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 LogicMonitor?

LogicMonitor provides the end-to-end visibility needed to maintain the performance and availability of business applications. It leverages automation and built-in intelligence to monitor today's complex and distributed infrastructures.
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        What are some alternatives to Honeycomb and LogicMonitor?
        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.
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        Decisions about Honeycomb and LogicMonitor
        Robert Zuber
        Robert Zuber
        CTO at CircleCI | 8 upvotes 98.4K 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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