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Honeycomb
Honeycomb

19
30
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SeaLion
SeaLion

2
10
+ 1
0
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Honeycomb vs SeaLion: 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; SeaLion: Quickly diagnose problems with your Linux servers. SeaLion is a cloud based system monitoring tool for Linux servers. Getting started is as easy as executing a command. It installs an agent at /usr/local/sealion-agent and runs as an unprivileged user (sealion). This agent will collect data at regular intervals across servers and this data will be available on your workspace. The latest version is shipped with 5 default services namely Apache, NGINX, MongoDB, MySQL, Redis.

Honeycomb and SeaLion 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, SeaLion provides the following key features:

  • Raw output. No learning curve
  • Quickly identify critical issues
  • Historical analysis
- 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 SeaLion?

SeaLion is a cloud based system monitoring tool for Linux servers. Getting started is as easy as executing a command. It installs an agent at /usr/local/sealion-agent and runs as an unprivileged user (sealion). This agent will collect data at regular intervals across servers and this data will be available on your workspace. The latest version is shipped with 5 default services namely Apache, NGINX, MongoDB, MySQL, Redis.
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          What are some alternatives to Honeycomb and SeaLion?
          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 SeaLion
          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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