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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. LogicMonitor vs Prometheus

LogicMonitor vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

LogicMonitor
LogicMonitor
Stacks37
Followers90
Votes20
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

LogicMonitor vs Prometheus: What are the differences?

Key Differences between LogicMonitor and Prometheus

Introduction

In this comparison, we will analyze the key differences between LogicMonitor and Prometheus, two popular monitoring tools used by organizations for monitoring and analyzing their IT infrastructure.

  1. Data Collection: LogicMonitor is an agent-based monitoring tool that relies on lightweight agents installed on the monitored systems to collect data. On the other hand, Prometheus is an agentless monitoring tool that uses an exporter model, where exporters are responsible for exposing and collecting metrics from the monitored systems.

  2. Data Storage: LogicMonitor offers a cloud-based monitoring solution, where all the collected data is stored and processed in their cloud infrastructure. In contrast, Prometheus is a time-series database and stores all the collected metrics locally. Prometheus's local storage allows for speedy querying and analysis of the metrics.

  3. Alerting and Notifications: LogicMonitor provides a comprehensive alerting and notification system, allowing users to set up thresholds and receive real-time alerts via various channels like email, SMS, and integrations with collaboration tools. Prometheus, on the other hand, offers a flexible alerting system with advanced query capabilities. It can send alerts to different notification channels, but it does not have built-in integrations with collaboration tools.

  4. Scalability: LogicMonitor is designed to scale with growing infrastructures and cloud-based deployments. It can handle large environments with thousands of devices and provide high availability, as the architecture is distributed among multiple data centers. In contrast, Prometheus has a decentralized architecture and is more suitable for smaller environments. While it can handle larger deployments with additional components like federation and sharding, it requires more manual effort to maintain and scale.

  5. Metrics and Querying: LogicMonitor offers a rich set of pre-configured monitoring templates and dashboards, enabling users to monitor various types of infrastructure components out-of-the-box. The metrics collected can be easily queried and visualized. Prometheus, on the other hand, provides a powerful PromQL query language that allows users to perform complex queries on the collected metrics. It is a highly flexible system that allows users to define and customize their monitoring metrics and dashboards.

  6. Community and Ecosystem: LogicMonitor has a well-established community and ecosystem, with extensive documentation, an active user forum, and integrations with popular platforms and tools. It has built-in integrations with various cloud providers, making it easy to monitor cloud infrastructure. Prometheus, on the other hand, has a vibrant open-source community with active development and a wide range of exporters available. It also integrates well with popular observability tools and platforms, providing a rich ecosystem of extensions and integrations.

In summary, LogicMonitor is an agent-based, cloud-based monitoring solution with extensive alerting capabilities and scalability for large deployments. On the other hand, Prometheus is an agentless monitoring tool with a local time-series database, advanced querying capabilities, and a flexible ecosystem for customization and integration.

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Advice on LogicMonitor, Prometheus

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

LogicMonitor
LogicMonitor
Prometheus
Prometheus

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.

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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;Granular Monitoring for AWS;Network Scan & Automated Device Discovery;Alert Routing & Escalation;Alert & Performance Forecasting;Custom Dashboards;Custom Reports;REST API;Syslog, Event, & Batch Job Monitoring;External Website Monitoring;Out-of-the-box Integrations for many Communication & Ticketing Tools;Data Stored for up to 2 years Without Aggregation;Remote Sessions;Configuration Management;Automatic Data Backup & Disaster Recovery;Unlimited Users & Granular RBAC;Ongoing Support & Training;SSO & 2FA
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
9.9K
Stacks
37
Stacks
4.8K
Followers
90
Followers
3.8K
Votes
20
Votes
239
Pros & Cons
Pros
  • 5
    Fast deployment
  • 5
    Auto discovery
  • 3
    Agentless
  • 3
    Very extensible
  • 3
    Awesome support
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
RightScale
RightScale
Puppet Labs
Puppet Labs
Twilio
Twilio
HipChat
HipChat
Grafana
Grafana

What are some alternatives to LogicMonitor, Prometheus?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

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!

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

AppSignal

AppSignal

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

Netdata

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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