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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Falco vs Scout

Falco vs Scout

OverviewComparisonAlternatives

Overview

Scout
Scout
Stacks84
Followers86
Votes21
Falco
Falco
Stacks9
Followers17
Votes0
GitHub Stars773
Forks29

Falco vs Scout: What are the differences?

# Key Differences between Falco and Scout

Falco and Scout are both open-source projects used for runtime security monitoring in cloud-native environments. Despite their similarities, there are key differences that determine which tool is best suited for specific use cases. Below are the main differences between Falco and Scout:

1. **Data Collection**: Falco is focused on collecting data from the system calls made by applications and processes, providing deep visibility into application behavior and potential security threats. In contrast, Scout primarily focuses on collecting data from Kubernetes events and objects, giving insights into the overall health and performance of the Kubernetes cluster.

2. **Rules Engine**: Falco comes with a rich set of predefined rules for detecting security incidents based on system call events, making it a powerful tool for threat detection and prevention. Scout, on the other hand, provides a customizable rules engine that allows users to define specific conditions for monitoring Kubernetes resources, enabling more tailored alerting and monitoring strategies.

3. **Deployment Architecture**: Falco is typically deployed as a daemonset on each node in a Kubernetes cluster, allowing it to monitor system calls and process activity directly on the nodes where applications run. In contrast, Scout is deployed as a deployment within the Kubernetes cluster, collecting data from the control plane and API server to monitor cluster-level events and objects.

4. **Alerting Mechanisms**: Falco is designed to trigger alerts based on predefined rules and policies, notifying users of potential security incidents in real-time. Scout focuses on providing real-time monitoring and visualization of Kubernetes resources, allowing users to create custom dashboards and alerts based on resource metrics and events.

5. **Integration Capabilities**: Falco provides integrations with popular security information and event management (SIEM) tools, allowing users to centralize security monitoring and incident response workflows. Scout offers integrations with monitoring tools such as Prometheus and Grafana, enabling users to leverage existing monitoring infrastructure for Kubernetes resources.

6. **Community Support**: Falco is part of the CNCF (Cloud Native Computing Foundation) ecosystem and has a large, active community of contributors and users, providing ongoing support and development. Scout, while also supported by an open-source community, may have a smaller user base and potentially fewer resources available for support and troubleshooting.

In Summary, Falco offers deep visibility into application behavior and focuses on system call analysis for security monitoring, while Scout specializes in monitoring Kubernetes resources and cluster events through a customizable rules engine and integration with monitoring tools.

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Detailed Comparison

Scout
Scout
Falco
Falco

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.

It is an Open Source WebPageTest runner. It helps you monitor, analyze, and optimize your websites.

Monitors Ruby, PHP, Python, Node.js & Elixir apps;Easy install;Detailed transaction traces;Alerting;Deploy Tracking
Automatically run audits multiple times a day in many conditions; See the evolution of key performance metrics to easily spot regressions; Invite the whole team so that everyone (devs, ops, product, marketing…) is involved in performance; Easily access and compare WebPageTest results between audits
Statistics
GitHub Stars
-
GitHub Stars
773
GitHub Forks
-
GitHub Forks
29
Stacks
84
Stacks
9
Followers
86
Followers
17
Votes
21
Votes
0
Pros & Cons
Pros
  • 8
    Easy setup
  • 5
    Plugins
  • 3
    Affordable
  • 1
    Custom Scopes
  • 1
    GIT Integration
No community feedback yet
Integrations
No integrations available
PostgreSQL
PostgreSQL
Docker
Docker
Heroku
Heroku

What are some alternatives to Scout, Falco?

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.

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.

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.

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