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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Cloud Monitoring
  5. Amazon CloudWatch vs LogicMonitor

Amazon CloudWatch vs LogicMonitor

OverviewComparisonAlternatives

Overview

Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214
LogicMonitor
LogicMonitor
Stacks37
Followers90
Votes20

Amazon CloudWatch vs LogicMonitor: What are the differences?

Introduction

In this article, we will explore the key differences between Amazon CloudWatch and LogicMonitor. Both tools are popular for monitoring and logging in cloud environments, but they have distinct features and capabilities that set them apart.

  1. Data Sources: When it comes to data sources, Amazon CloudWatch primarily focuses on monitoring the various services provided by Amazon Web Services (AWS). It can collect metrics from AWS resources such as EC2 instances, RDS databases, and S3 buckets. On the other hand, LogicMonitor supports a wide range of data sources including cloud platforms like AWS, Azure, and GCP, as well as on-premises infrastructure, applications, and network devices. It can also collect metrics from custom applications and integrate with third-party tools.

  2. Ease of Setup: Amazon CloudWatch is tightly integrated with AWS services, making it relatively easy to set up monitoring for resources within the AWS ecosystem. Its agent-based approach simplifies the configuration for resources like EC2 instances. LogicMonitor, on the other hand, requires more initial setup as it needs to be installed and configured separately from the cloud provider. However, once set up, LogicMonitor offers centralized management and monitoring across multiple platforms.

  3. Alerting and Notification: Amazon CloudWatch provides alerting and notification functionality through Amazon SNS (Simple Notification Service) and Amazon SES (Simple Email Service). It allows users to set up custom alarms based on threshold values and trigger actions like sending emails or invoking AWS Lambda functions. In comparison, LogicMonitor offers a more comprehensive alerting system with customizable escalation chains, integration with popular collaboration platforms like Slack and Microsoft Teams, and the ability to send alerts via multiple channels including email, SMS, and phone calls.

  4. Scalability: Amazon CloudWatch is designed to handle large-scale monitoring for AWS services and can scale seamlessly as the number of resources increases. It provides metrics storage and monitoring capabilities at scale. LogicMonitor, as a cloud-native monitoring solution, is also highly scalable and can handle monitoring for thousands of resources across multiple cloud platforms. It leverages cloud automation and elasticity to accommodate growing monitoring needs.

  5. Customizability and Extensibility: LogicMonitor offers greater flexibility in terms of customization and extensibility. It provides a REST API that allows users to programmatically interact with the system and perform various actions such as adding custom metrics, managing devices, and retrieving data. Additionally, LogicMonitor supports Groovy-based scripting and integration with external tools through webhook and API integrations, enabling users to extend its functionality and adapt it to their specific monitoring requirements. Amazon CloudWatch, while customizable to some extent, has more limited options for customization and extension.

  6. User Interface and Visualization: LogicMonitor provides a highly intuitive and user-friendly interface with customizable dashboards and widgets. It offers a visually appealing way to represent data and monitor the health and performance of various resources. Amazon CloudWatch, while it has improved its user interface over time, may not offer the same level of customization and visualization options as LogicMonitor.

In summary, Amazon CloudWatch is tightly integrated with AWS services, specializes in monitoring AWS resources, and offers easy setup within the AWS ecosystem. LogicMonitor, on the other hand, supports multiple data sources, provides extensive customization options, and is scalable across different cloud platforms and on-premises infrastructure. Each solution has its own strengths and can be chosen based on specific monitoring requirements and the complexity of the environment.

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Detailed Comparison

Amazon CloudWatch
Amazon CloudWatch
LogicMonitor
LogicMonitor

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
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
Statistics
Stacks
12.0K
Stacks
37
Followers
8.2K
Followers
90
Votes
214
Votes
20
Pros & Cons
Pros
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
Pros
  • 5
    Auto discovery
  • 5
    Fast deployment
  • 3
    Awesome support
  • 3
    Very extensible
  • 3
    Agentless
Integrations
No integrations available
RightScale
RightScale
Puppet Labs
Puppet Labs
Twilio
Twilio
HipChat
HipChat

What are some alternatives to Amazon CloudWatch, LogicMonitor?

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!

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.

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.

AppDynamics

AppDynamics

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

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Stackify

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

Librato

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.

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