Alternatives to LogicMonitor logo

Alternatives to LogicMonitor

Nagios, Solarwinds, Datadog, PRTG, and New Relic are the most popular alternatives and competitors to LogicMonitor.
18
30
+ 1
16

What is LogicMonitor and what are its top alternatives?

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.
LogicMonitor is a tool in the Performance Monitoring category of a tech stack.

LogicMonitor alternatives & related posts

Nagios logo

Nagios

621
476
94
621
476
+ 1
94
Complete monitoring and alerting for servers, switches, applications, and services
Nagios logo
Nagios
VS
LogicMonitor logo
LogicMonitor

related Nagios posts

Conor Myhrvold
Conor Myhrvold
Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 983.4K views
atUber TechnologiesUber Technologies
Prometheus
Prometheus
Graphite
Graphite
Grafana
Grafana
Nagios
Nagios

Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

https://eng.uber.com/m3/

(GitHub : https://github.com/m3db/m3)

See more
Solarwinds logo

Solarwinds

20
8
0
20
8
+ 1
0
Unlock powerful workflows, automation, and reporting
    Be the first to leave a pro
    Solarwinds logo
    Solarwinds
    VS
    LogicMonitor logo
    LogicMonitor

    related Datadog posts

    Robert Zuber
    Robert Zuber
    CTO at CircleCI · | 8 upvotes · 258.3K 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’ve got prebuilt dashboards for every scenario and integration with PagerDuty to manage routing any alerts. We’ve definitely scaled past the point where managing dashboards is easy, but we haven’t had time to invest in using features like Anomaly Detection. We’ve started using Honeycomb for some targeted debugging of complex production issues and we are liking what we’ve 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.

    See more
    StackShare Editors
    StackShare Editors
    Grafana
    Grafana
    StatsD
    StatsD
    Airflow
    Airflow
    PagerDuty
    PagerDuty
    Datadog
    Datadog
    Celery
    Celery
    AWS EC2
    AWS EC2
    Flask
    Flask

    Data science and engineering teams at Lyft maintain several big data pipelines that serve as the foundation for various types of analysis throughout the business.

    Apache Airflow sits at the center of this big data infrastructure, allowing users to “programmatically author, schedule, and monitor data pipelines.” Airflow is an open source tool, and “Lyft is the very first Airflow adopter in production since the project was open sourced around three years ago.”

    There are several key components of the architecture. A web UI allows users to view the status of their queries, along with an audit trail of any modifications the query. A metadata database stores things like job status and task instance status. A multi-process scheduler handles job requests, and triggers the executor to execute those tasks.

    Airflow supports several executors, though Lyft uses CeleryExecutor to scale task execution in production. Airflow is deployed to three Amazon Auto Scaling Groups, with each associated with a celery queue.

    Audit logs supplied to the web UI are powered by the existing Airflow audit logs as well as Flask signal.

    Datadog, Statsd, Grafana, and PagerDuty are all used to monitor the Airflow system.

    See more
    PRTG logo

    PRTG

    15
    6
    0
    15
    6
    + 1
    0
    A powerful & easy network monitoring software
      Be the first to leave a pro
      PRTG logo
      PRTG
      VS
      LogicMonitor logo
      LogicMonitor
      New Relic logo

      New Relic

      15K
      3.5K
      1.9K
      15K
      3.5K
      + 1
      1.9K
      SaaS Application Performance Management for Ruby, PHP, .Net, Java, Python, and Node.js Apps.
      New Relic logo
      New Relic
      VS
      LogicMonitor logo
      LogicMonitor

      related New Relic posts

      Sebastian Gębski
      Sebastian Gębski
      CTO at Shedul/Fresha · | 4 upvotes · 320.6K 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
      Julien DeFrance
      Julien DeFrance
      Principal Software Engineer at Tophatter · | 3 upvotes · 121.1K views
      atStessaStessa
      New Relic
      New Relic
      Datadog
      Datadog
      #APM

      Which #APM / #Infrastructure #Monitoring solution to use?

      The 2 major players in that space are New Relic and Datadog Both are very comparable in terms of pricing, capabilities (Datadog recently introduced APM as well).

      In our use case, keeping the number of tools minimal was a major selection criteria.

      As we were already using #NewRelic, my recommendation was to move to the pro tier so we would benefit from advanced APM features, synthetics, mobile & infrastructure monitoring. And gain 360 degree view of our infrastructure.

      Few things I liked about New Relic: - Mobile App and push notificatin - Ease of setting up new alerts - Being notified via email and push notifications without requiring another alerting 3rd party solution

      I've certainly seen use cases where NewRelic can also be used as an input data source for Datadog. Therefore depending on your use case, it might also be worth evaluating a joint usage of both solutions.

      See more
      ruxit logo

      ruxit

      246
      17
      5
      246
      17
      + 1
      5
      Full stack availability and performance monitoring powered by artificial intelligence
      ruxit logo
      ruxit
      VS
      LogicMonitor logo
      LogicMonitor
      AppDynamics logo

      AppDynamics

      119
      146
      47
      119
      146
      + 1
      47
      Application management for the cloud generation
      AppDynamics logo
      AppDynamics
      VS
      LogicMonitor logo
      LogicMonitor
      Azure Application Insights logo

      Azure Application Insights

      105
      68
      0
      105
      68
      + 1
      0
      It is an extensible Application Performance Management (APM) service for web developers
        Be the first to leave a pro
        Azure Application Insights logo
        Azure Application Insights
        VS
        LogicMonitor logo
        LogicMonitor