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

LogicMonitor vs Stackify

OverviewComparisonAlternatives

Overview

Stackify
Stackify
Stacks113
Followers69
Votes56
LogicMonitor
LogicMonitor
Stacks37
Followers90
Votes20

LogicMonitor vs Stackify: What are the differences?

Introduction: This Markdown code provides a comparison between LogicMonitor and Stackify, highlighting key differences between the two platforms.

  1. Monitoring Capabilities: LogicMonitor offers comprehensive monitoring capabilities for networks, servers, cloud resources, applications, and more, providing a broad and detailed view of an organization's IT infrastructure. On the other hand, Stackify primarily focuses on application performance monitoring (APM) and logging, offering in-depth insights into application behavior and performance metrics.

  2. Deployment and Scalability: LogicMonitor is versatile and scalable, supporting hybrid IT environments, on-premises, and cloud deployments seamlessly. It is known for its ease of deployment and scalability even for large, complex setups. In contrast, Stackify is more streamlined and ideal for small to medium-sized applications, lacking the scalability features required for enterprise-level infrastructure monitoring.

  3. Alerting and Notification: LogicMonitor provides robust alerting and notification features, allowing users to set up customized alerts based on predefined thresholds and conditions, ensuring proactive issue resolution. Stackify, while offering alerting capabilities, is more focused on monitoring and troubleshooting application-specific performance issues rather than overall infrastructure health.

  4. Dashboard and Reporting: LogicMonitor offers intuitive dashboards and customizable reporting capabilities, enabling users to create tailored views of their infrastructure performance and health. Stackify's dashboard and reporting are more geared towards application-specific metrics and insights, catering to developers and DevOps teams looking to optimize application performance.

  5. Integration and Extensibility: LogicMonitor provides a wide range of integrations with third-party tools and services, allowing users to consolidate monitoring data from various sources into a single platform. Stackify, while offering integrations with popular development tools, focuses more on providing in-depth application performance monitoring solutions rather than broader infrastructure monitoring and management.

  6. Cost and Licensing Model: LogicMonitor typically follows a subscription-based pricing model based on the number of devices and resources being monitored, offering a scalable and predictable cost structure. Stackify, on the other hand, may have a more tailored pricing approach for APM and logging solutions, catering to specific application monitoring needs.

In Summary, the key differences between LogicMonitor and Stackify lie in their monitoring capabilities, deployment scalability, alerting features, dashboard/reporting functionalities, integration options, and cost/licensing models.

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Detailed Comparison

Stackify
Stackify
LogicMonitor
LogicMonitor

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

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.

Application Performance Management (APM), Custom metrics, Log management. Application monitoring;Server Monitoring;DB & queries monitoring;Queues monitoring;Auto-discovery of new apps;Alerts;App Status Alerts;Email & SMS notification;Escalation rules;Errors aggregation, errors reporting;Alerts, trends;App reporting;Log Files aggregation & appending.Tail and search app & IIS logs;Windows event viewer;Remote secure Access;Access server logs, files, configurations;Role based access;Audit & reporting;App Metrics;Monitor performance counters;Custom Metrics via API;Monitor JVM mBeans;Application Performance;Track web page performance;Utilizing custom metrics to track performance of anything;
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
113
Stacks
37
Followers
69
Followers
90
Votes
56
Votes
20
Pros & Cons
Pros
  • 8
    Error tracking
  • 7
    Monitoring
  • 7
    Log management
  • 7
    Easy setup
  • 6
    Real-time application health
Pros
  • 5
    Fast deployment
  • 5
    Auto discovery
  • 3
    Awesome support
  • 3
    Very extensible
  • 3
    Agentless
Integrations
Amazon EC2
Amazon EC2
Slack
Slack
Jira
Jira
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Azure DevOps
Azure DevOps
RightScale
RightScale
Puppet Labs
Puppet Labs
Twilio
Twilio
HipChat
HipChat

What are some alternatives to Stackify, 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.

Skylight

Skylight

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

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.

Keymetrics

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

Dynatrace

Dynatrace

It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.

SignalFx

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

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